WSU Courses

Survey of selected introductory financial and managerial accounting topics. Credit not granted if credit has been earned in ACCTG 230 and/or 231. Does not substitute for either ACCTG 230 or ACCTG 231 for Business majors.

Introduction to corporate financial reporting via the preparation and interpretation of financial statements.

Introduction to managerial accounting; generation and use of accounting data for planning and controlling business operations.

Introduction to the preparation and interpretation of financial statements and to the use of accounting data for planning and controlling business operations. Credit not granted for both ACCTG 298 and 230 and/or 231.

Conceptual and technical issues of financial reporting and ethical, political, and economic consequences related to accounting choice.

Continuation of ACCTG 330.

Fundamentals of tax information used in making sound business and financial decisions.

Management uses of cost information; cost systems and system design; cost analysis.

Cultural differences and how they affect accounting practices and standards in a variety of countries. Not an accounting technical course.

Partnership equities and extended forms of corporate ownerships and government entities.

Accounting systems design; internal control and computerization.

The study of individual income taxes from both compliance and planning perspectives. Credit not granted to those taking ACCTG 335 prior to Fall 1999.

Cost/managerial accounting as it is used for decision making and strategic planning; emphasis on budgeting, product cost, and performance measurement.

Nature of auditing, generally accepted auditing standards, and audit procedures as related to auditing of financial statements by independent accountants.

Auditing theory application and data analysis.

Introduction to business processes and internal controls, including risk assessment and detection of fraud.

Explores what it means to be human through biological anthropology (human evolution), archaeology (material remains of past peoples), sociocultural anthropology (present peoples), and linguistics (language).

Impact of well-known archaeological sites on our understanding of the past.

A critical exploration of pseudo-scientific claims and fantastical interpretations of archaeological sites and objects in popular media.

Art as an expression of social and cultural systems in non-Western societies.

Introduction to the field of cultural anthropology; examination of how cultures vary and are similar.

Anthropological perspective on health, disease, and medical/curing systems; relationships between culture, biology, political-economic environments, disease, and curing examined. Recommended preparation: ANTH 101 or 203.

A critical exploration of how systemic inequalities along lines of class, race, gender, and sexuality become embodied in adverse health outcomes.

The impact of confinement and incarceration on human lives across both time and space.

Critical examination of the history of racial classification and social hierarchy, influences of biology and culture on human variation, and differences among groups.

Archaeological methods with a focus on how we use data to reconstruct past human lifeways.

Archaeology of the social, political, economic, and technological developments that are indicated by the pyramids of ancient Egypt.

Introduction to the ways in which sound, meaning, and structure of words and sentences in natural languages are described and analyzed by linguists. (Crosslisted course offered as ENGLISH 256, ANTH 256.).

Evidence for human evolution; evolutionary explanations of human and primate variation; techniques of biological anthropology.

Human sexuality, relations across sexes and genders, parenting, cooperation, and violence compared across cultures and to nonhuman primates, using evolutionary and biocultural perspectives.

Examination of forensic anthropology techniques to identify human skeletal remains in a medicolegal context.

Practice in methods of archaeological, ethnological, or linguistic field research.

Contemporary arts and media around the world, and their impact on identity, society, and culture.

Anthropological theory and methods applied to the study of infant, child, and adolescent development.

Body, meaning, and power in religion cross culturally.

Cross-cultural mental health and illness; common U.S. mental illnesses and treatments in diverse cultures around the world; mental illnesses specific to particular cultures. Recommended preparation: PSYCH 105; ANTH 101 or 203.

Cross-cultural understanding of how humans respond to epidemics, including high mortality diseases, diseases common in the developing world, and diseases that pose future threats.

Introduction to family, social, political, economic and religious institutions of African cultures in context of African social issues.

Ecological/environmental anthropology relevant to questions of population, resources, cognition, health and livelihoods.

Journey into numerous and dynamic contemporary human issues in American society focusing on their interconnectivity with equity, justice, and social power.

Cross-cultural examination of gendered status and roles, sexuality and marriage, folk concepts of sexual anatomy in Western and non-Western societies; concepts of nature and culture are explored through a variety of perspectives. Recommended preparation: Sophomore standing. (Crosslisted course offered as ANTH 316, WGSS 316.).

An interdisciplinary approach to examining women's roles and experiences throughout the world and different approaches to feminism/feminisms. (Crosslisted course offered as WGSS 332, ANTH 317.).

A holistic exploration of various Indigenous peoples and cultures of North America, through the lens of anthropology. (Crosslisted course offered as ANTH 320, AIS 320.).

An in-depth examination of Indigenous women's roles in their societies both traditionally and in the contemporary world.

Contemporary cultures of Native American communities emphasizing North America. (Crosslisted course offered as ANTH 327, AIS 327.).

Origins of human culture from the beginnings of humankind to the rise of the first civilizations in Africa and Eurasia. Recommended preparation: 3 hours ANTH.

Archaeological investigations of cultures and environments of the Americas. (Crosslisted course offered as ANTH 331, AIS 331.).

The archaeologically reconstructed environmental and cultural past of the Northwest including contemporary scientific and social approaches and issues. Recommended preparation: ANTH 101. (Crosslisted course offered as ANTH 334, AIS 334.).

Overview of past urbanism, states and empires in the eastern hemisphere; survey of European, African and Asian archaeology.

Examination of the archaeology of Mesoamerica and South America. Recommended preparation: 3 credits ANTH.

The role of language in social situations and as a reflection of cultural differences.

Origins and evolution of human language, relationships between peoples and languages, development of contemporary ethnicities, linguistical change, reconstructive methods, and writing systems.

Overview of Darwinian medicine; theoretical foundations, insights, and key research contributions and applications from this interdisciplinary field.

Exploration of the connections between climate change and people from the Ice Age to the present.

Introduction to the field of osteology including molecular analysis, paleopathology, taphonomy and forensic analysis.

Evolution of primate behavior from ecological and phylogenetic perspective emphasizing methods for understanding primate adaptations and diversity. Recommended preparation: ANTH 101 or BIOLOGY 101, 102 or 150.

Development of theories in anthropology including contributions of significant individuals, representative classics and influential current movements. Recommended preparation: Junior standing.

Training in methods of archaeological data recovery and analysis.

Survey of anthropological theories exploring self in Western/non-Western cultures through dreams, history, and human development.

Relationships among disease, curing, culture and environment; non-Western medical systems; political economy of health care. Recommended preparation: Junior standing.

The history of sovereignty and Federal Indian Law against the backdrop of treaties and trust responsibility. (Crosslisted course offered as HISTORY 410, ANTH 410, POL S 410.).

Data and methods of cultural anthropology applied to the solution of contemporary human problems, emphasizing sustainable development. Recommended preparation: 3 hours ANTH; junior standing.

Interdisciplinary analysis of complex interaction in the context of colonial and post-colonial development. (Crosslisted course offered as ANTH 418, POL S 418, SOC 418.).

Archaeological theory and the role of theories of culture change in crafting explanations for the human past. Recommended preparation: ANTH 230; ANTH 330 or 331.

Anthropological theory and methods applied to the study of cognitive linguistics, or the interrelation of language, mind, and culture. Credit not granted for more than one of ANTH 450 and ANTH 550.

Exploration of anthropology museums within the broader museum field and the history of field anthropology, including hands-on experience with museum work. Credit not granted for both ANTH 455 and ANTH 555.

Small-scale population dynamics; culture change; event history analysis; evolutionary life history; risk; reproduction; morbidity; and mortality in ethnographic, historical, and archaeological populations. Recommended preparation: ANTH 260. Credit not granted for both ANTH 463 and ANTH 563.

Hormones, diet, and stress in the regulation of human reproduction, behavior, and physiology; menstruation, parenting, and pregnancy; evolution of reproduction. Recommended preparation: ANTH 260, BIOLOGY 107, 150, or equivalent.

Human origins in the light of the fossil record and evolutionary theory. Credit not granted for both ANTH 465 and ANTH 565. Recommended preparation: ANTH 260.

Human cooperation from an evolutionary perspective, as informed by research from anthropology, biology, ecology, economics, and psychology; discussion-based seminar.

Relationships between genes, language and culture are explored as a means to understanding world history, genetic and cultural diversity and unity. Recommended preparation: Junior standing.

Survey of how the theory of evolution is used to better understand ourselves, the societies in which live, and the biological world on which we depend. Recommended preparation: BIOLOGY 305, 395, 403, or 405 or concurrent enrollment. (Crosslisted course offered as BIOLOGY 473, ANTH 473.).

Overview of the solar system, stars, galaxies, cosmology, and the history of astronomy. Includes a lab component with occasional evening meetings. Credit not granted for both ASTRONOM 135 and 150.

Formation and dynamics of planetary systems; major planets: interiors, surfaces, atmospheres; minor planets: moons, asteroids, comets; science missions; extrasolar planets.

Planets, the sun, stars, and galaxies; current topics in astrophysics and planetary research.

Planets, solar systems, and stars.

Exotic objects, galaxies, and cosmology.

The natural history of life on earth and prospects for life elsewhere; includes chemistry, biology, geology, physics and astronomy. Recommended preparation: Completion of physical and biological sciences GERs/UCOREs.

Overview of business activities and disciplinary functions found in modern for-profit organizations; introduction to each of Carson College of Business learning goals.

Conduct research to better understand business expectations; use career assessments to clarify major and career goals; develop action plan; write application for admission into a Carson College of Business major.

Introduction to business ethics; overview of ethics value foundations; focus on preparing students to make business decisions ethically. Credit not granted for both B A 201 and 211.

Team and group dynamics, including factors and behaviors that impede or increase team performance; leadership roles in teams. Credit not granted for both B A 202 and 211.

Process of innovation inside organizations; factors and behaviors that promote innovation creation and implementation. Credit not granted for both B A 203 and 211.

Introduction to spreadsheets; basics for using spreadsheets for data analysis and to support decision-making. Credit not granted for B A 204 if credit is already earned in B A 212.

Principles and techniques of representing data visually in graphs, charts, and diagrams; communicating data-based results effectively; skeptical interpretation of visually represented findings when making decisions. Credit not granted for B A 205 if credit is already earned in B A 212.

Introduction to techniques for making informed and logical decisions in a business context. Credit not granted for B A 206 if credit is already earned in B A 212.

Credit not granted for B A 211 if credit is already earned in either B A 201, 202, or 203.

Credit not granted for B A 212 if credit is already earned in each of B A 204, 205, and 206.

Fundamental concepts of chemical engineering; problem-solving techniques and applications in stoichiometry, material and energy balances, and phase equilibria. (Crosslisted course offered as BIO ENG 201.).

Methods for analysis and problem solving in bioengineering; introduction to mathematical modeling, programming, and numerical methods for bioengineering applications.

Introduction and application of the concepts of momentum, mass, and thermal energy transport in the context of problems of interest in biology, medicine, and engineering.

Fundamental concepts and laws, property relationships, coupled phenomena, as well as theoretical modeling and experimental analysis applied to biological processes and regulation.

Mechanical behavior of biological and engineering materials; relationships between external loads and internal stresses and strains within a structure.

Laboratory experiments focused on mechanics of biological and engineering materials; experimental design and statistical analysis of data; scientific writing.

Principles of measurement systems for bioengineering applications, data analysis, and troubleshooting.

Principles of instrumentation applicable to bioengineering systems; experimental design for measurement systems.

Foundation for dynamic modeling and design of physiological systems; part one of two-semester course.

Integrating cellular biology and engineering science by applying quantitative engineering principles for development of cellular-based materials, diagnostic devices and sensor designs.

Mathematical and engineering analysis of major mammalian physiological systems, including excitable cells, cardiovascular, respiratory, and renal systems.

Mechanical behavior of biological and engineering materials; relationships between external loads and internal stresses and strains within a structure.

Methods for analysis of rigid body and deformable mechanics; application to biological tissue, especially bone, cartilage, ligaments, tendon and muscle. (Crosslisted course offered as BIO ENG 425/525, ME 525.) Credit not granted for more than one of BIO ENG 425, BIO ENG 525, or ME 525.

Principles of instrumentation applicable to bioengineering systems; experimental design for measurement systems.

The electrophysiology of excitable tissues (neurons and muscle) and human health applications involving recording activity or stimulating these tissues. Engineering principles are integrated with neural physiology for design and analysis of biomedical devices.

Feedback control system analysis and design, with applications to physiological and biomedical engineering systems.

Understanding metabolic properties of organisms such that cells can be modified for use as biochemical plants to produce desired bioproducts. (Crosslisted course offered as BIO ENG 455, CHE 474.).

Integrating molecular biology and engineering sciences to analyze, change, and design proteins' structure and function. Recommended preparation: Undergraduate cellular bioengineering and biochemical engineering. Credit not granted for both BIO ENG 456 and 556.

Application of chemical engineering principles to the processing of biological and biochemical materials. (Crosslisted course offered as CHE 475, BIO ENG 475.) Credit not granted for both CHE 475/BIO ENG 475 and CHE 575.

Applying bioengineering and chemical engineering kinetics and transport principles to practical applications in cellular and biological separations, biomanufacturing, tissue engineering, protein design, drug delivery, and bioassays. (Crosslisted course offered as CHE 476, BIO ENG 476.).

The biology of good health and longevity; evaluation of lifestyle choices; consideration of each body system and the potential for disease and disorder. Credit not granted towards elective requirements for majors in the School of Biological Sciences.

Understanding current and future advances in biology as 'citizen scientists'. Lecture and laboratory; not for students majoring in the life sciences. Credit not allowed for students who have already completed BIOLOGY 105. Credit not granted towards elective requirements for majors in the School of Biological Sciences.

Exploring science as a tool for understanding nature using case studies, experimentation, and data analysis. Topics range from atoms to ecosystems including physiology, inheritance, and the carbon cycle. Credit not granted towards elective requirements for majors in the School of Biological Sciences.).

Understanding biology as a science and its effect on issues within society. Laboratory only. Credit not granted towards elective requirements for majors in the School of Biological Sciences.

One semester of a two-semester sequence (BIOLOGY 106/107 or BIOLOGY 107/106) for science majors and pre-professional students. Biology of organisms; plants, animals, ecology and evolution.

First or second semester of a one-year sequence (BIOLOGY 106/107 or BIOLOGY 107/106) for science majors and pre-professional students. Cell biology and genetics of prokaryotes and eukaryotes. Recommended preparation: 2 credits 100-level CHEM or concurrent enrollment.

Current case studies of human interaction with the environment exploring concepts in ecology, biodiversity, global chemical cycles, and climate change. Credit not granted towards elective requirements for majors in the School of Biological Sciences.

Scientific method and its application to a diverse range of biology and genetics topics and research questions. Credit not granted towards elective requirements for majors in the School of Biological Sciences.

Introduction to plant science, highlighting certain aspects of plant biology and current research and how these relate to us all in the modern world. Credit not granted towards elective requirements for majors in the School of Biological Sciences.

Genetic topics in media and daily life including human health, agriculture, ecology and forensics for the educated non-biologist. Credit not granted towards elective requirements for majors in the School of Biological Sciences.

Information related to dietary sources of nutrients, their functions in the body, physiologic and environmental factors that govern nutrient requirements, and guidelines for optimal dietary patterns. Credit not granted towards elective requirements for majors in the School of Biological Sciences.

Basic principles and implications of Darwinian evolution. Credit not granted towards elective requirements for majors in the School of Biological Sciences.

Biological information that provides a framework for understanding life processes; impact of biological information on human affairs.

Terms and word constructions for health care occupations; format and function of medical records.

Introduction to human and animal health care careers.

Basic content and skills to prepare for health related internships.

Basic physiological processes in humans from the cellular to the organismal level. Credit not granted for both BIOLOGY 251 and 353.

Principles of modern and classical genetics. (Crosslisted course offered as MBIOS 301, BIOLOGY 301.).

Survey of evolutionary processes that influence adaptation, diversification, and the origins and history of biodiversity; applications of evolution in conservation, agriculture, and medicine.

Biological basis of sex and its relationship to body function, women and health care, and the impact of social and cultural perspectives on the experience of being female. (Crosslisted course offered as BIOLOGY 307, WGSS 307.).

Introduction to the marine environment including oceanic, near-shore and estuarine communities of organisms and their roles and interactions.

Gross and microscopic anatomy of the human body. Recommended for pre-health care professionals only.

Experimental analyses of development and descriptive and comparative examination of embryology; emphasis on the chordates. Recommended preparation: BIOLOGY 301 or MBIOS 301.

Phylogenetic relationships, development, and functional ecology of the invertebrate animals.

Evolution of vertebrates and their organ systems; correlation of structural modification with function.

Conservation of major natural resources through a biological approach; philosophical, economic, and political aspects of important conservation issues.

Identification and classification of vascular plants with emphasis on the local flora.

Foundations in nutritional science and its relationship to human health through the application of fundamental principles of biology.

Comparative analysis of genomes from bacteria to humans including methods for sequencing, genotyping, annotation of genomes, population genetics and evolution.

Mathematical biology and development of mathematical modeling for solutions to problems in the life sciences. (Crosslisted course offered as MATH 340, BIOLOGY 340.).

Analysis of systems and integrative physiology with an emphasis on evolutionary adaptation among mammalian and non-mammalian vertebrates.

Diversity and processes at the cellular level; structure and function.

Function and control at the organ-organismic level with emphasis on mammals, including humans; emphasis on human health science applications. Recommended preparation: BIOLOGY 315 or 354. Credit not granted for both BIOLOGY 251 and 353.

Histology and anatomy of humans with non-cadaver-based laboratory utilizing preserved and histological specimens, models, and software.

Exploration of fundamental molecular processes to encourage thinking beyond biological species in order to comprehend larger-scale biological issues and relevance for society.

Ecology of species interactions in changing environments and how they influence human and animal health. Credit not granted for both BIOLOGY 370 and 372. Field trips may be required.

Relationship of organisms with physical and biotic components of their environment at the population, community, and ecosystem level. Credit not granted for both BIOLOGY 370 and 372. Field trips may be required.

Modern medical issues from an evolutionary perspective, integrated with other biological fields in medical research; topics include disease diversity, immune function, the evolution of virulence, human disease management, cancer, obesity, and human mental and reproductive health issues and their management.

Relationships between plants and people, especially cultural and economic applications of plants.

In-depth investigations of interdisciplinary topics addressing the importance of beneficial microbes to organisms, natural systems, and society from across the disciplines of microbiology, medicine, evolutionary ecology, and agricultural science.

The survey of evidence for evolution and operation of evolutionary processes that influence adaptation, diversification and speciation in organisms.

The evolutionary processes that influence adaptation, population differentiation, and speciation in organisms.

Consideration of the state-of-the-art genetic technologies and their impact on society, environment and the economy.

Developmental anatomy and morphology of vascular plants; economic forms. Credit not granted for both BIOLOGY 409 and BIOLOGY 509.

The ecology and conservation of marine organisms, communities, and ecosystems.

Evolution, identification, life history, and characteristics of important fish species.

Types of associations, life cycles, control, prevention, and modifications of parasites; examination of parasitic protozoa and helminths.

Water relations, mineral nutrition, photosynthesis, respiration, and growth of plants. Recommended: Organic chemistry.

Laboratory for Biol 420.

Ecology, systematics, and evolution of birds. Field trips required include two Saturdays.

Ecology, systematics, and evolution of mammals.

Application of learning and theory and philosophy and structure of science in teaching middle and secondary school science courses. (Crosslisted course offered as BIOLOGY 430, MBIOS 480, TCH LRN 430.).

Integration of assessment, curricular, and technological tools into instruction that aligns with learning theory and the philosophy/structure of science. (Crosslisted course offered as BIOLOGY 431, MBIOS 481, TCH LRN 431.).

Characteristics, evolution, and systematics; patterns of distribution; adaptive strategies; interactions between humans and amphibians and reptiles.

Biological study of animal behavior as viewed from genetic, developmental, physiological, ecological, and evolutionary perspectives.

Examination of the interrelationship between the endocrine system and animal behavior with an emphasis on vertebrates and a comparative approach.

Critical evaluation of the ecology, evolution, and molecular biology of mutualism and symbiosis. Credit not granted for both BIOLOGY 446 and 546.

The study of the ecology of humans, organisms, and their environments in urban ecosystems. (Crosslisted course offered as BIOLOGY 455, SOE 455.).

Introduction to neural mechanisms underlying natural animal behaviors from the cellular level to the organismal level.

Assembly, essential properties, levels of interactions, succession, and stability of natural communities; emphasizes an experimental approach to community investigation. Recommended preparation: BIOLOGY 372. Credit not granted for both BIOLOGY 462 and BIOLOGY 562.

Ecological roles of immature insects in different size streams; pattern changes along the stream continuum; other ecological characteristics.

Historic and current factors controlling the function of ecosystems and their responses to natural and human caused global change. Credit not granted for both BIOLOGY 469 and 569.

Morphological, life history, and ecological diversity of major plant clades; emphasis on principles of homology, character transformation, and macroevolution.

Survey of how the theory of evolution is used to better understand ourselves, the societies in which live, and the biological world on which we depend. Recommended preparation: BIOLOGY 305, 395, 403, or 405 or concurrent enrollment. (Crosslisted course offered as BIOLOGY 473, ANTH 473.).

Theory and current literature on a wide range of computational techniques used to address and solve problems in biology; a practical introduction to R/python as scientific languages useful in the solution of problems in biology.

Interaction between organisms and global change across scales of biology.

Interdisciplinary capstone course that explores the ocean world from molecules to ecosystems in the context of scientific discovery and society.

Survey of marine invertebrates and their habitats. One-week field/lab course at a marine station.

Advanced civil engineering computer applications including Geographical Information Systems, Revit, and Excel.

Engineering mechanics concepts; force systems; static equilibrium; centroids, centers of gravity; shear and moment diagrams; friction; moments of inertia.

Concepts of stress, strain, and their relationships; axial loads, torsion and bending; combined stress; properties of materials; columns, repeated loadings.

Surveying data collection, analysis and application; measuring distances and angles using total stations and global positioning systems; analysis of errors in measurements.

Fluid statics, laminar and turbulent flow, similitude, pipe flow, boundary layer, lift and drag and measurement techniques.

Structure, index properties, and classification of soils; compaction; effective stress; seepage; consolidation and shear strength.

Introduction to construction materials and their behaviors; characteristics of the primary materials used in civil engineering; steel, aluminum, Portland cement, admixtures, aggregates, Portland cement concrete, masonry, and wood; laboratory tests to evaluate the physical and mechanical properties of commonly used construction materials.

Computer assisted (numerical) solution of engineering problems; algorithmic thinking skills; programming fundamentals. Recommended preparation: CE 203, STAT 360 or 370.

Road-vehicle interaction, geometric design, traffic flow and queuing theory, highway capacity and level of service, and introduction to pavement design and materials.

Introduction to structural analysis and design; structural modeling; design philosophies; deflections; indeterminate analysis by the Force Method.

Impact of pollutants on the environment; pollution sources and sinks; engineering aspects of air and water quality; introduction to pollution control.

Application of fluid mechanics to hydraulic infrastructure, principles of open channel flow, and introduction to surface and ground water hydrology.

Basic properties and mix designs of aggregates, asphalt, concrete and recycled materials; quality assurance, quality control.

Engineering solutions for climate change problems; basic science of climate change, engineering for mitigation and adaptation, and climate change policy.

Atmospheric physical behavior across spatial scales linking concepts of meteorological phenomena to engineering design principles. Credit not granted for both CE 402 and CE 502.

Air pollution from the perspective of an environmental manager; regulatory framework, management strategies, monitoring, modeling tools, and control technologies. Credit not granted for both CE 403 and CE 503.

Decision analysis framework within the context of civil engineering; mathematical (probabilistic) formulations for decision-making; life-cycle assessment; life-cycle cost analysis; theory of sustainability and resilience. Credit not granted for both CE 405 and CE 505.

Overview of stormwater and best management practices including both traditional (sewers, drainage channels, detention facilities) and innovative (low-impact design) approaches.

Understanding of load, load path determination techniques, performance of various materials, and the interface between material design standards and building codes.

Theory and laboratory measurement techniques used in analyzing environmental quality parameters. Required preparation for graduate students must include CE 341. Credit not granted for both CE 415 and CE 515.

Experiments related to fluid flow principles and their application to hydraulic engineering.

Hazardous waste properties, chemodynamics, and health effects; introduction to risk assessment and hazardous waste remediation. Credit not granted for both CE 418 and CE 518.

Principles of operation and application of processes in design of technologies used in hazardous waste treatment and remediation. Credit not granted for both CE 419 and CE 519.

Compaction theory and methods; deep densification of soils; advanced consolidation theory, preloading, vertical drains, chemical stabilization, grouting; design with geosynthetics. Required preparation for graduate students must include CE 317. Credit not granted for both CE 425 and CE 525.

Stiffness methods for the analysis of trusses, beams, and frames; matrix models; and computer applications.

Design of steel structures by load and resistance factor design (LRFD); behavior and design of beams, columns, tension members and connections.

Behavior, analysis, and design of reinforced concrete structures; flexure; shear; bond; serviceability requirements; design of beams, columns, and slabs.

Behavior and design of masonry structures.

Site investigation; bearing capacity, settlement and design of shallow foundations, piles and piers; design of retaining walls.

Engineering properties of wood materials; analysis and design of members, connections, trusses, shearwalls and structural diaphragms; durability and moisture effects on engineered wood products.

Behavior, analysis and design of fiber-reinforced plastic composite structures; micro, ply and laminate mechanics; reinforcement of concrete and wood.

Water and wastewater treatment processes and design.

Principles of biochemical operations used in wastewater treatment including biochemical energetics, kinetics, activated sludge and fixed film reactors, nutrient removal, and sludge handling and treatment. Credit not granted for both CE 446 and CE 546.

Design and implementation of engineered hydraulic and hydrologic systems; site assessment; distribution networks; remediation systems; sustainable use; restoration; project based.

Steady, non-uniform flow; controls and transitions in fixed-bed channels. Credit not granted for both CE 451 and CE 551.

Sources of freshwater in Pacific Northwest; water demands; climate change impacts on water availability; approaches for developing sustainable water yield.

Components of the hydrologic cycle; conceptual models; watershed characteristics; probability/statistics in data analysis; hydrographs; computer models; design applications.

Engineering economy; annual cost, present worth, rate of return, and benefit-cost ratio in engineering decision making; basic contract law.

Civil engineering applications to planning and preliminary design; problem synthesis, data analysis, considering ethical, social, environmental and economic impacts, analyzing risk potential, decision making and reporting; planning and scoping of projects that include local and world-wide problems through interdisciplinary teams.

Civil engineering applications to planning and design; problem synthesis, data analysis, decision making and reporting; design of complete projects that include local and world-wide problems through interdisciplinary teams.

Review of topics to prepare for the Civil Engineering Fundamentals of Engineering Examination.

Pavement performance evaluation, material characterization, traffic analysis, pavement structural response analysis, transfer function application, and pavement design procedures for both flexible and rigid pavements.

Introduction to groundwater occurrence, movement, quality, and resource management, emphasizing physical and biogeochemical principles. Field trip required. (Crosslisted course offered as SOE 475, CE 475.).

Engineering concept and information needed to maintain, evaluate, repair and rehabilitate pavements and design of flexible and rigid overlays.

Professional aspects of civil engineering.

Current topics, issues, and career options in Chemical Engineering.

Introduction to chemical engineering; development of problem-solving skills.

Fundamental concepts of chemical engineering; problem-solving techniques and applications in stoichiometry, material and energy balances, and phase equilibria.

Computer solutions to problems in chemical engineering processing.

Basic concepts in chemical engineering thermodynamics; First and Second Laws; property relationships; power, compression, and liquefaction.

Intermediate topics in chemical engineering thermodynamics; advanced phase and chemical reaction equilibrium (including the design of relevant chemical processes), non-ideal thermodynamics, and a microscopic description of thermodynamics.

Fundamentals of the phenomena governing the transport of momentum, energy, and mass.

Chemical reaction kinetics applied to the design of reactors, non-ideal flow, mixing, catalysis.

Design calculations, operations, and evaluation of equipment used in fluid flow, heat transfer, and evaporation.

Design and evaluation of equipment used in continuous contacting.

Introduction to technical fundamentals of chemical process safety.

An introduction to modern catalysis systems for chemical engineers, with an emphasis on heterogeneous catalysis.

Statistical design and analysis of experiments; safety; experiments in heat and mass transfer; separations, other unit operations, kinetics, control; technical reports and presentations.

Laboratory experiments in heat and mass transfer; separations, other unit operations, kinetics, control; design calculations; technical reports and presentations.

Measuring instruments, automatic control, process and instrument characteristics and theory applied to industrial control problems.

Chemical engineering design; computer tools; safety and environmental constraints; cost and equipment optimization.

Development, design, and economic evaluation of chemical and related processes as practiced in industry.

Applied nuclear physics; application to the nuclear fuel cycle and nuclear reactor core design; nuclear reactor systems and safety. (Crosslisted course offered as ME 461, CHE 461.).

Thermodynamics, kinetics, and transport processes that occur in a simple model electrochemical system and how to apply them into more complicated real systems.

An introduction for chemical engineers to oil and gas exploration, production, transportation, and storage.

Application of chemical engineering principles in assessment and remediation of industrial problems in air pollution, water pollution, and solid and hazardous waste.

Medical and environmental biofilms; biofilm processes and biofilm control.

Understanding metabolic properties of organisms such that cells can be modified for use as biochemical plants to produce desired bioproducts. (Crosslisted course offered as BIO ENG 455, CHE 474.).

Application of chemical engineering principles to the processing of biological and biochemical materials. (Crosslisted course offered as CHE 475, BIO ENG 475.) Credit not granted for both CHE 475/BIO ENG 475 and CHE 575.

Applying bioengineering and chemical engineering kinetics and transport principles to practical applications in cellular and biological separations, biomanufacturing, tissue engineering, protein design, drug delivery, and bioassays. (Crosslisted course offered as CHE 476, BIO ENG 476.).

Study of pulping and papermaking process chemistry and reaction engineering principles.

Chemical and physical nature of the interface including the molecular basis for interfacial forces and resulting macroscopic phenomena. Credit not granted for both CHE 485 and 585.

Atomic and molecular structure, elementary organic nomenclature and reactions, quantitative relationships, periodicity, states of matter, solutions, acids, bases, pH, equilibrium, applications to life sciences. Not recommended as preparation for CHEM 105.

Organic functional groups and their reactions; thermodynamics, kinetics, and redox reactions, polymers, macro-molecules; carbohydrates, lipids, proteins, enzymes, nucleic acids, hormones, applications to life sciences.

Chemistry preparatory course for students who have not had high school chemistry or do not meet the prerequisites for CHEM 105.

The principles of chemistry applied to forensic science and forensic analysis.

Atomic and molecular structure, states of matter, quantitative relationships, thermodynamics, quantum mechanics, periodicity, bonding. Recommended preparation: One year rigorous high school chemistry or CHEM 103.

Intermolecular forces, solutions, kinetics, equilibrium, acids and bases, thermodynamics, electrochemistry, radiochemistry. Credit not granted for both CHEM 106 and 116.

Honors-level second semester general chemistry; topics generally identical to CHEM 106, with additional advanced topics at discretion of instructor. Credit not granted for both CHEM 106 and 116.

Foundational topics in reactor operations at the WSU TRIGA 1 MW nuclear research reactor, including nuclear theory, nuclear physics, radiation safety, health physics, reactor physics reactor kinetics, neutron transport theory, reactor auxiliary systems, and federal regulations.

Training at the WSU 1 MW TRIGA nuclear reactor, with continued knowledge development in nuclear reactor theory and operations as preparation for the Nuclear Regulatory Commission licensing exam.

Theories of quantitative chemical analysis; statistical evaluation of data; chemical equilibrium; volumetric and gravimetric methods of analysis; introduction to electrochemistry.

Application of classical methods in volumetric and gravimetric analysis; acid-base, redox and EDTA titrations; ion-exchange chromatography; introduction to spectrophotometry.

Handling, characterization, and analysis of radioactive materials including nuclear theory and physics, radiation safety and detectors, alpha and gamma spectrometry, separation and analysis of radionuclides, and nuclear forensics.

A survey of the chemistry of the elements using basic principles of bonding, acid-base and oxidation-reduction chemistry, and thermodynamics.

Quantitative methods of data analysis and chemical concept development; emphasis on multivariable, matrix, and computer methods.

Concepts of physical chemistry; basic thermodynamics; free energy and entropy; phase equilibria; properties of solutions of electrolytes and non-electrolytes.

Elementary quantum theory; molecular structure and spectra; bonding theory; reaction rates; photochemistry and radiation chemistry; energy states and statistical thermodynamics.

Experiments selected to meet the individual needs of students in biology, chemical engineering, chemistry, or materials science.

Continuation of CHEM 333. Experiments in molecular structure, atomic molecular spectroscopy, chemical kinetics including computational methods.

Survey of organic chemistry providing an overview of the chemistry of the functional groups.

Isolation, purification and identification of unknown compounds; for chemistry and biochemistry majors.

Advanced concepts in organic chemistry including mechanisms and multistep-synthesis; problem analysis and critical thinking development in organic chemistry. Credit not granted for both CHEM 346 and 348.

Properties of substances; periodic trends; catalysis; structure and reactivity; acid-base; oxidation-reduction; and spectroscopy. Credit not granted for both CHEM 401 and 501.

Computer interfacing applicable to chemical instrumentation; principles and applications of modern chromatography, spectrophotometry and electrochemical techniques.

Laboratory experience in modern analytical methods.

An integrated physical, chemical and biochemical foundation for modern X-ray diffraction tools and techniques, and their application to structural biology. Credit not granted for both CHEM 430 and 530.

The modern tools and insights of physical chemistry are covered by interconnecting these fundamental concepts with key biological phenomena. Credit not granted for both CHEM 440 and 540. (Formerly CHEM 338.).

Exploration of the chemistry of biological systems with regards to structure and function relations, as well as metabolism and energy production. Credit not granted for both CHEM 470 and 570. (Formerly CHEM 370.).

Properties, bonding and synthesis of solid state material; crystalline and amorphous solids and coatings.

Administrative procedures found within a heavy/civil construction project and respective documentation.

Exploration of the different project delivery systems used by contracting parties in heavy civil construction and their impact on the design and construction/management process.

Fundamentals of heavy civil estimating with emphasis on plan reading, specification reading, and quantity takeoff.

Basics of scoping, takeoff, costing, pricing, and bidding actual projects live alongside real contractors.

Introduction to programs within the School of Electrical Engineering and Computer Science discussing resources, opportunities, and knowledge and skills necessary to succeed within EECS majors.

Elementary algorithmic problem solving, computational models, sequential, iterative and conditional operations, parameterized procedures, array and list structures and basic efficiency analysis.

Formulation of problems and top-down design of programs in a modern structured language (C/C++) for their solution on a digital computer.

Advanced programming techniques: data structures, recursion, sorting and searching, and basics of algorithm analysis taught in C/C++ programming language.

Formulation of problems and top-down design of programs in a modern structured language for their solution on a digital computer. Taught in Java programming language.

Advanced programming techniques: data structures, recursion, sorting and searching, and basics of algorithm analysis. Taught in Java programming language.

Exploration of fundamental concepts, constructs, and techniques of modern data analytics systems. (Crosslisted course offered as CPT S 215, CS 215.).

Advanced data structures, object oriented programming concepts, concurrency, and program design principles taught in C/C++ programming language.

Debugging tools, scripting languages, UNIX programming tools.

Advanced data structures, object oriented programming concepts, concurrency, and program design principles. Taught in Java programming language.

Computer systems architecture; logic, data representation, assembly language, memory organization and trends.

The process of automatically extracting valid, useful, and previously unknown information from large repositories. Recommended preparation: prior Python programming. (Crosslisted course offered as CPT S 315, CS 315.).

Finite automata, regular sets, pushdown automata, context-free language, Turing machines and the halting problem.

Object-oriented programming for flexibility, efficiency, and maintainability; logic and UI decoupling; complexity analysis, data structures, and algorithms for industry-quality software.

Introduction to software engineering; requirements analysis, definition, specification including formal methods; prototyping; design including object and function oriented design.

Practical aspects of software design and implementation using object-oriented, aspect-oriented and procedural programming. Credit not granted for both CPT S 323 and 487.

Security and privacy principles in modern computers and network communications covering various security protection mechanisms, including cryptography, secure communication protocols, and anonymity techniques.

Analysis of data structures and algorithms; computational complexity and design of efficient data-handling procedures.

Design concepts of high-level programming languages; survey of existing languages, experience using some languages.

Implementation of systems programs, concepts of computer operating systems; laboratory experience in using operating system facilities taught in C/C++ programming language.

Implementation of systems programs, concepts of computer operating systems; laboratory experience in using operating system facilities. Taught in Java programming language.

Fundamental principles of parallel computing, parallel programming experience on multicore machines and cluster computers, and design of algorithms and applications in parallel computing. Recommended preparation: CPT S 350.

Big data models, databases and query languages, modern distributed database systems and algorithms. (Crosslisted course offered as CPT S 415, CS 415.).

Large-scale software development including requirements analysis, estimation, design, verification and project management.

Dependable software systems; software verification and validation, testing; CASE environments; software management and evolution.

Laboratory/group design project for large-scale software development, requirements analysis, estimation, design, verification techniques.

Laws, ethics, rights, and governmental regulations as applied to the field of cybersecurity from technological and social perspectives.

Recovery and investigation of material found in various cyber environments (e.g., device, memory, operating systems, etc.) and ways to defeat forensic processes and tools.

Hardware hacking and reverse engineering approaches routinely used against electronic devices and embedded systems; introduction to the basic procedures necessary to perform reverse engineering of hardware components to determine their functionality, inputs, outputs, and stored data.

Cellular and wireless system security, incidence response cycles, fault tolerance, and distributed computer security.

Key aspects of cyber security with an emphasis on software and systems security focusing on concepts, principles, methodologies, and techniques for measuring and defending the various security properties of both operating systems and application software. Credit not granted for both CPT S 428 and CPT S 528.

Virtualization and offensive cyber operations including the building of multiple software systems that operate as independent systems running on multiple native hardware items and conducting campaigns aimed at compromising computational capacities of an adversary.

Fundamentals of numerical computation; finding zeroes of functions, approximation and interpolation; numerical integration (quadrature); numerical solution of ordinary differential equations. Required preparation must include differential equations and a programming course.

Security analytics at an enterprise deployment scale using social, data, graph avenues of evaluation, and topics of supply chain cybersecurity, risk management frameworks, and security of developer operation pipelines.

Hands-on experience with neural network modeling of nonlinear phenomena; application to classification, forecasting, identification and control. Credit not granted for both CPT S 434 and CPT S 534.

Topics in machine learning including linear models for regression and classification, generative models, support vector machines and kernel methods, neural networks and deep learning, decision trees, unsupervised learning, and dimension reduction.

Data taxonomy, sampling, plotting, using and extending a visualization package, designing visualization and domain-specific techniques.

Security topics as they relate to critical infrastructure systems vital to any nation including industrial control systems, cyber physical systems, SCADA, DCS, IoT, IIoT, and the knowledge to secure such systems. (Crosslisted course offered as E E 439, CPT S 439.) Credit not granted for both E E/CPT S 439 and 539.

An introduction to the field of artificial intelligence including heuristic search, knowledge representation, deduction, uncertainty reasoning, learning, and symbolic programming languages. Credit not granted for both CPT S 440 and CPT S 540.

Raster operations; transformations and viewing; geometric modeling; visibility and shading; color. Credit not granted for both CPT S 442 and CPT S 542.

Concepts and methodologies of engineering, social and behavioral sciences to address ergonomic, cognitive, social and cultural factors in the design and evaluation of human-computer systems. Credit not granted for both CPT S 443 and CPT S 543.

Introduction to database concepts, data models, database languages, database design, implementation issues.

Design of lexical analyzers, syntactic analyzers, intermediate code generators, code optimizers and object code generators.

Graphs and their applications, directed graphs, trees, networks, Eulerian and Hamiltonian paths, matrix representations, construction of algorithms. Required preparation must include linear algebra. Recommended preparation: MATH 301. (Crosslisted course offered as MATH 453, CPT S 453.).

Concepts and implementations of computer networks; architectures, protocol layers, internetworking, addressing case studies, and discussion of security constraints at all layers of the OSI stack from attacker and defender perspectives. (Crosslisted course offered as CPT S 455, E E 455.).

Formulation and solution of network optimization problems including shortest path, maximal flow, minimum cost flow, assignment, covering, postman, and salesman. Credit not granted for both MATH 466 and MATH 566. Required preparation must include linear programming. (Crosslisted course offered as MATH 466/566, CPT S 456/556.).

Operating systems, computer architectures, and their interrelationships in micro, mini, and large computer systems.

Concepts of distributed systems; naming, security, networking, replication, synchronization, quality of service; programming middleware. Credit not granted for both CPT S 464 and CPT S 564.

The design and development of real-time and dedicated software systems with an introduction to sensors and actuators. Credit not granted for both CPT S 466 and CPT S 566.

Fundamental algorithms, techniques and applications. Credit not granted for both CPT S 471 and CPT S 571.

The data science process, data wrangling, exploratory data analysis, linear regression, classification, clustering, principal components analysis, recommender systems, data visualization, data and ethics, and effective communication. Credit not granted for both CPT S 475 and CPT S 575.

Software Engineering Process (definition, assessment, and improvement); Software Engineering Management; Software Configuration Management.

Mobile application development; user interface; location and maps; sensor; camera; cross platform mobile application development tools.

Intensive introduction to the python language; user interface, building and using extension modules; C interfacing; construction of a major project.

Software maintenance, refactoring, reengineering, reverse engineering. Credit not granted for both CPT S 481 and 581.

Elicitation, analysis, specification, and validation of software requirements as well as the management of requirements during the software life cycle.

Introduction to the field of gerontechnology, including aging and senses, mobility and exercise, data analysis, and research methods. (Crosslisted course offered as CPT S 485, PSYCH 485.).

In-depth exploration of gerontechnology, including socialization, caregiver issues, dementia, app design and data visualization. (Crosslisted course offered as CPT S 486, PSYCH 486.).

Software design; design principles, patterns, and anti-patterns; design quality attributes and evaluation; architectural styles, architectural patterns and anti-patterns. Credit not granted for both CPT S 487 and CPT S 587, or for both CPT S 487 and 323.

Web development using markup languages, style sheet language, and scripting languages; developing and consuming web services; testing web applications.

Formulation of problems and top-down design of programs in a modern structured language for their solution on a digital computer.

Advanced programming techniques: data structures, recursion, sorting and searching, and basics of algorithm analysis.

Introduction to the theoretical foundations of computing. Combinatorics, relations, trees, graphs, Boolean algebra, proof methods, and discrete probability as applied to computer science.

Exploration of fundamental concepts, constructs, and techniques of modern data analytics systems. (Crosslisted course offered as CPT S 215, CS 215.).

Software design with object-oriented programming; object-oriented programming concepts; front-end application development.

Advanced data structures, object oriented programming concepts, and program design principles.

Debugging tools, scripting languages, UNIX programming tools, introduction to graphical user interface programming.

Introduction to the C programming language and application to engineering problem solving; introduction to data structures, sorting and searching; laboratory use of integrated development environments and debugging tools.

Introduction to computer architecture, data representation, design and analysis of instruction sets, implementation of machine instructions, virtual memory and multiprocessing.

C language concepts, professional practices and C programming; module linkage; assembly language concepts and programming.

The process of automatically extracting valid, useful, and previously unknown information from large repositories. Recommended preparation: prior Python programming. (Crosslisted course offered as CPT S 315, CS 315.).

Finite automata, regular sets, pushdown automata, context-free language, Turing machines and the halting problem.

Introduction to software engineering; requirements analysis, definition and specification; software process models; prototyping; architecture; object-oriented design with UML.

Power and limitation of numerical solutions; design, analysis and implementation of numerical algorithms; visualization and rendering.

Introduction to database concepts, data models, database languages, database design, implementation issues.

Design concepts of high-level programming languages; survey of existing languages, experience using some languages.

Implementation of systems programs, concepts of computer operating systems; laboratory experience in using operating system facilities.

Social, legal, ethical and professional issues that arise in the context of computing.

Big data models, databases and query languages, modern distributed database systems and algorithms. (Crosslisted course offered as CPT S 415, CS 415.).

Development of software in a team environment; project management; unit and integration testing, bug tracking, configuration management, software process models; object-oriented design.

Use of computers in the investigation of criminal and civil incidents in which computers or computer technology play a significant or interesting role.

Foundations, theory, and practice of non-cryptographic computer security; design of secure software; adding security to existing systems; other contemporary topics in security.

Computer security concepts, models and mechanism; encryption technology, formal models, policy and ethical implications. Credit not granted for both CS 427 and CS 527.

Machine learning concepts, algorithms, and applications; machine learning models and workflows; use of real-world data sets to solve classification, regression, and clustering problems; issues specific to real world data analysis such as feature selection, dimensionality reduction, or cleaning.

Knowledge representation and automated problem solving; theory and application of agent programming.

Raster operations; transformations and viewing; geometric modeling; visibility and shading; color. Credit not granted for both CS 442 and CS 542.

Introduction to the field of human-computer interaction; understanding the system user; user-centered design and evaluation techniques including heuristic evaluation and usability testing.

Design and implementation of computer games. Credit not granted for both CS 447 and CS 547.

Analysis of data structures and algorithms; computational complexity and design of efficient data-handling procedures.

Design of lexical analyzers, syntactic analyzers, intermediate code generators, code optimizers and object code generators.

Principles of cloud data management: data models, fragmentation, processing paradigms, consistency, storage, and commercial cloud data management platforms.

Fundamentals principles and algorithms related to information retrieval: text querying, indexing, and retrieval methods, evaluation metrics, ranking, semi-structured data, crawling and scraping of the web using link-based algorithms, and user interface issues.

Concepts and implementation of computer networks; architectures, protocol layers, internetworking and addressing case studies.

Design and development of mobile applications; introduction to mobile application frameworks, including user interface, sensors, event handling, data management and network communication.

Role and purpose of operating systems, process and memory management, I/O device management and drivers, file system concepts and design.

Design and development of real-time and dedicated software systems with an introduction to sensors and actuators. Credit not granted for both CS 466 and CS 566.

Software design; design principles, patterns, and anti-patterns; design quality attributes and evaluation; architectural styles, architectural patterns and anti-patterns. Credit not granted for both CPT S 487 and CPT S 587, or for both CPT S 487 and 323.

Introduction to the construction industry; reviewing contract documents, methods of project management and current issues pertaining to the industry.

Introduction to construction materials; primary materials used in below-grade substructures and above-grade superstructures using Construction Specification Institute (CSI) format.

Introduction to primary materials in construction of building envelopes, interiors, interior surfaces and finishes using Construction Specification Institute (CSI) format.

Introduction to the CM culture with focus on preparation for internships, student competitions, engagement opportunities, and success as a student within the program.

Study and understanding of administrative procedures found within construction projects and respective documentation.

Visual literacy and details in construction documents using drawing techniques.

Mechanical systems for buildings; building heating, ventilating, and air conditioning systems, heat flow concepts.

Water supply, drainage, electrical and lighting systems for buildings.

Methods and procedures for site work, excavation, dewatering, building foundation and equipment, productivity, finance and safety requirements.

Statutory and common law governing the practice of design and construction in the US; emphasis in architecture and construction project contract administration.

Role and function of safety and health in the construction industry including OSHA compliance, requirements and regulations.

Admitted civil engineering majors may take by permission. Applications of quantity survey, techniques in creation of unit costs, introduction of job expenses and bid presentation.

Bidding application, advance concepts in the creation of unit cost and computer software applications.

Design/construction process and project delivery systems/approaches; analysis of construction management; the construction management process.

Methods and procedures for site work, heavy equipment, cranes, productivity; finance and safety requirements.

Examination of cost accounting utilized for specific project control as well as overall company control.

Methods, principles, and concepts required to plan and schedule construction projects; introduction to scheduling software.

Estimating in quantity survey, price extension and bidding in civil projects.

Leadership and management concepts and methods applied to human behavior to enhance motivation, productivity and safety in construction.

Use of Building Information Modeling (BIM) for construction coordination via emerging technologies and/or BIM software to collaborate with multiple distributed stakeholders and students from other disciplines.

Temporary structures including formwork, falsework, soldier pile and lagging, sheet pile, cofferdam, scaffolding, underpinning, bracing and guying, air domes, and others.

Mechanical, Electrical, and Plumbing (MEP) portion of the construction industry, focusing on preconstruction services, design, sales and estimating, system, project management, sustainability, and the use of BIM as they relate to MEP. Two field trips required.

Foundational course in data analytics covering statistical and mathematical principles, computational tools (Excel, Python, R), and reproducible workflows for data wrangling, visualization, and communication.

Introduction to calculus concepts such as limits, derivatives, and integrals with a focus on computational methods including the application of programing in hands on projects including numerical differentiation, integration, and Taylor series.

Computational calculus emphasizing multivariable and vector calculus, optimization, and advanced visualization techniques including topics of partial derivatives, multiple integrals, parametric equations, and optimization algorithms using Python in real-world data analytics scenarios.

Introduction to computational and statistical text analysis using the open source programming language R; designed for students with no prior experience with programming but who wish to extend their methodological tool kit to include quantitative and computational approaches to the study of text.).

Introduction to the tools and methods of visually communicating data for diverse audiences and scenarios. (Crosslisted course offered as DTC 209, DATA 209.).

Programming techniques including data structures, sorting and searching, object-oriented design, and an introduction to algorithmic analysis.

Solving linear systems, matrices, determinants, subspaces, eigenvalues, orthogonality, machine learning, AI, computer graphics, and economic models. (Crosslisted course offered as MATH 225, DATA 225.) Credit not granted for more than one of MATH 225, 220, and 230.

Hands-on knowledge and skills for programming, handling different types of data, data cleaning, and visualization; excellent foundation for courses or projects that involve coding in R.

Hands-on knowledge and skills for working with real data and the Python programming language; an excellent foundation for later coursework in the Data Analytics major.

Hands-on knowledge and skills for basic-to-advanced aspects of the SQL system.

Professional development for data analytics students, emphasizing career preparation, internship search strategies, resume and interview skills, and engagement with industry professionals to understand workplace expectations and pathways into the field.

Modeling methods for data analysis with high dimensional data, including theoretical and practical concerns.

Introduction to repository systems and use of data repositories for data wrangling.

Probability models, sample spaces, random variables, distributions, moments, comparative experiments, tests, correlation and regression in engineering applications. Credit not granted for both STAT 360 and 370. (Crosslisted course offered as STAT 360, DATA 360.).

Project-based class that integrates the main aspects of data analytics.

Multiple linear regression with model selection, dealing with multicollinearity, assessing model assumptions, the LASSO, ridge regression, elastic nets, Loess smoothing, logistic regression, Poisson regression, and the application of the bootstrap to regression modeling. (Crosslisted course offered as STAT 435, DATA 435.).

Data visualization, metric-based clustering, probabilistic and metric-based classification, algebraic and probabilistic dimension reduction, scalable inferential methods, analysis of non-Euclidean data. (Crosslisted course offered as STAT 437, DATA 437.).

Statistical foundations of AI, including data ethics, probability for generative models, inference, predictive modeling, statistical learning, and deep learning, emphasizing theory, real-world applications, and ethical implications. (Crosslisted course offered as DATA 460, STAT 460.).

Foundational AI topics including linear algebra, optimization, graph theory, graph neural networks, manifold learning, kernel methods, function spaces, probabilistic and decision-theoretic models, and ethical considerations.

Designing and refining prompts for LLMs to clean, transform, visualize, and narrate data; emphasizing hands-on projects, ethical considerations, and evaluation of outputs using open-source tools and collaborative platforms.

Theory and policy related to the benefits of specialization and trade, how prices are determined, government intervention in the economy, business competition, and inequality.

Theory and policy related to unemployment, inflation, foreign trade, government spending, taxation, and banking.

Introduction to economic theory and policy issues.

Hands-on laboratory instruction in data management, analysis, and visualization, primarily using Microsoft Excel.

Calculus-based intermediate microeconomic theory for majors in the School of Economic Sciences.

Income, employment, and inflation theory with policy implications. Recommended preparation: ECONS 101 as required background.

Price determination and market behavior under different market structures and the problems posed for public policy; not calculus-based.

How economists reason with statistics including topics of data collection, data description, sampling, and inferential techniques commonly used by economists.

Applications of statistical techniques, including regression analysis, to economic models; analysis of economic data, forecasting and policy analysis are emphasized.

Theory and methods of machine learning with applications to the study of economic and other phenomena.

Analysis of banking institutions and monetary policy in the US, with comparison to abroad. Recommended: ECONS 101.

Economic aspects of American sports; fan demand; advertising; team output decisions; league/conference organization; government and sports.

Impact of tax and spending policy on savings, labor, education, housing, and health; philosophies of government; individual versus group incentives; the prisoner's dilemma; calculating welfare effects of policy; designing better policy.

Determinants of wages and wage inequality; technological change and automation; immigration; returns to schooling; labor unions; labor-market discrimination.

Theoretical and practical study of healthcare markets; implications of health policy; optimal delivery of medical care.

Application of economic principles to environmental issues, especially the application of economic theory to environmental valuation, the regulation of pollution, and different ways to achieve sustainable development. (Crosslisted course offered as ECONS 326, SOC 375.).

Analysis and description of international trade flows; commercial policy; multinational firms, foreign exchange markets; open economy macroeconomics; international monetary systems. (Crosslisted course offered as ECONS 327, I BUS 470.).

Exploration of the critical role that economics plays in the design, development, and success of modern electronic games.

The role of economics in natural resource management and policy. Course equivalent to OSU's AREC 351.

Financial management, decision making, and analysis for small businesses; capital market institutions and valuation processes.

Decision making, planning, implementation and control of farms and ranches using economic principles, records, financial reports, budgeting and investment analysis.

Introduction to futures and options; selected topics related to markets for and the marketing of food and agricultural products.

Introduction to the economic concepts, techniques and applications of organizational, marketing, financial, operations, and resource management in a firm.

Topics in the application of economics for business decision making with an introduction to calculus. Credit not granted to graduate students in the School of Economic Sciences.

Modeling dynamic decisions; derivatives, bond tranches, and swaps; financial crises, bubble mania, and wildcat banking; helicopter money and real effects of money; instability of financial markets; regulating banks.

Analyze and predict strategic behavior of firms, consumers, and political parties in their everyday interactions; use simultaneous and sequential games, both under complete and incomplete information.

Economic theories of firm behavior and the influence of market industry parameters; buyer/seller concentration, information asymmetries, product differentiation, and entry conditions.

In-depth analysis and application in transport economics, modeling, and policy evaluation across all transportation modes.

Logic and consequences of capitalism as global system; multinational corporations; underdevelopment and overdevelopment; external debt, population, and environmental crisis.

Nature and practice of environmental policy analysis using economics concepts and the analysis of models applied to natural resource problems and issues.

Business and financial principles applied to organization and operation of farms and ranches.

Institutions, practices, policies, problems, and empirical analysis of food economics and marketing.

Topics in business management economics and strategy, from demand and supply to bargaining, contracting, pricing strategies, and market structure. Recommended preparation: ECONS 350 or ECONS 352 as required background.

Design and application of combinational logic circuits with exposure to modern methods and design tools; introduction to sequential logic circuits. Recommended preparation: Prior programming class.

Microprocessor system architecture, instruction sets, and interfacing; assembly language programming.

Application of fundamental concepts of electrical science in linear circuit analysis; mathematical models of electric components and circuits.

Electrical instruments; laboratory applications of electric laws; transient and steady-state responses of electrical circuits.

Fundamental device characteristics including diodes, MOSFETs and bipolar transistors; small- and large-signal characteristics and design of linear circuits.

State space analysis, Laplace transforms, network functions, frequency response, Fourier series, two-ports, energy and passivity.

Design and analysis of synchronous sequential machines; module and bit-slice devices; alternative architectures; system-level design; asynchronous sequential machines.

Students will be required to pass a math skills test. Fundamentals of transmission lines, electrostatics, magnetostatics, and Maxwell's Equations for static fields.

Modern developments in digital system design, parallel structures, pipelining, input/output, high speed circuits, laboratory experience in digital system design; emphasis on CPU architecture.

Discrete and continuous-time signals, LTI systems, convolution, sampling, Fourier transform, filtering, DFT, amplitude modulation, probability applications.

Maxwell's equations, plane waves, waveguides, resonators, antennas, numerical methods.

Experiments in electrical circuits, measurements and electronics; principles of measurements and measuring instruments.

Power system hardware; transformers, and electromechanical machinery; introduction to power system operation.

Experiments in simulation, modeling, transformers, rotating machines, and transmission lines.

Project scheduling/planning, technical writing, oral presentation skills, working in teams, TQC, TQM, market-driven organizations.

Electrical engineering design of specific projects including design specification; written and oral presentations and reports.

Design and implementation of RF/microwave modules and systems for telecommunications; microstrip, filters, mixers, amplifiers, frequency synthesizers and transceivers.

System and propagation issues for wireless telecommunications; cellular, PCS, microwave, and satellite system analysis, design, measurement, and testing.

Application Specific Integrated Circuit and Digital System Design methods, semi-custom, full-custom, and field-programmable devices; digital system architectures, electronics, and tests.

Security topics as they relate to critical infrastructure systems vital to any nation including industrial control systems, cyber physical systems, SCADA, DCS, IoT, IIoT, and the knowledge to secure such systems. (Crosslisted course offered as E E 439, CPT S 439.) Credit not granted for both E E/CPT S 439 and 539.

Digital communication techniques; performance of digital communication systems in noise; matched filter detection; quantization.

Concepts and implementations of computer networks; architectures, protocol layers, internetworking, addressing case studies, and discussion of security constraints at all layers of the OSI stack from attacker and defender perspectives. (Crosslisted course offered as CPT S 455, E E 455.).

Discrete and fast Fourier transforms; Z-transform; sampling; discrete convolution; digital filter design; effects of quantization.

Very Large Scale Integrated circuit, system and physical design using CAD software; project specification, modeling, implementation, documentation and reporting.

Analysis and design of analog integrated circuits in CMOS and BiCMOS technologies; current mirrors, gain stages, operational amplifiers, frequency response, and compensation. Credit not granted for both E E 476 and 576.

Fundamentals of distribution systems engineering, distribution system modeling and analysis, distribution load flow analysis, voltage regulation, recent advances in distribution automation.

Analysis and modeling of power electronics-based converters, steady state operation, converter topologies, non-ideal effects; power supplies; applications.

State variable models, system response, stability analysis, root locus analysis and design; frequency-response and state-space analysis and design.

Managing variability and uncertainty using statistics for engineering decision-making involving risk. Credit not granted for both E M 403 and 503.

Identifies factors that block improvements in any system; effective breakthrough solutions; continual systems improvements for manufacturing, administration, projects. Credit not granted for both E M 426 and E M 526.

Understanding and applying proved solutions developed by the theory of constraints in areas of production, project management, finance, and distribution. Credit not granted for both E M 430 and E M 530.

Integration of the best of Lean, Six Sigma, and Theory of Constraints to accelerate the continuous improvement process. Credit not granted for both E M 438 and 538.

Concepts and techniques for design and managing manufacturing and service, operations intended to develop a world class organization. Credit not granted for both E M 460 and 560.

Project management fundamentals including traditional methods, agile practices, key terminology, project manager responsibilities, project scope and life cycle components, stakeholders, communication plan, work breakdown structure, risk identification, and project control using MS Project.

Leveraging Theory of Constraints, Lean, and Six Sigma to achieve integrated systems level improvement. Credit not granted for both E M 470 and 570.

Quality analysis, modeling process, product quality, statistical process control, process capability studies; sampling concepts, reality models, predictions, design testing. Recommended preparation: an undergraduate course in statistics. Credit not granted for both E M 480 and E M 580.

Design for quality improved products; processes and services using designed experiments, including robust/parameter design. Recommended preparation: Undergraduate statistics. Credit not granted for both E M 485 and E M 585.

Introduction to engineering programs (part 1) discussing resources, opportunities, and knowledge and skills necessary to succeed in engineering.

Introduction to engineering programs (part 2) discussing resources, opportunities, and knowledge and skills necessary to succeed in engineering.

Application of mathematics principles to engineering problems across engineering and computer science disciplines; concepts from trigonometry to calculus necessary for sophomore engineering courses.

Introduction to engineering disciplines, problem solving, design teamwork and ethics.

Theory, applications, and practices of welding, machining, and associated techniques in fabricating with metals. (Crosslisted course offered as AGTM 201, ENGR 201.).

Theory application and practices of welding and associated techniques in fabricating with metals. One of 3 two-week sessions of Metal Fabrication. Each session includes 3 hours lecture and 12 hours lab per week. (Crosslisted course offered as AGTM 202, ENGR 202.).

Theory application and practices of machining and associated techniques in fabricating with metals. One of 3 two-week sessions of Metal Fabrication. Each session includes 3 hours lecture and 12 hours lab per week. (Crosslisted course offered as AGTM 203, ENGR 203.).

Theory application and practices of cutting and associated techniques in fabricating with metals. One of 3 two-week sessions of Metal Fabrication. Each session includes 3 hours lecture and 12 hours lab per week. (Crosslisted course offered as AGTM 204, ENGR 204.).

Focus on commercializing ideas, modifying existing products, exploiting market opportunities, and creating new enterprises.

Introduction to leadership; development of personal leadership skills and application of leadership strategies via experiential learning.

Needs analysis and conceptualization of technological products and business plan for target market; multidisciplinary team development.

Prototype solution developed and evaluated and business plan completed; presentation to stake holders; team development and assessment. Field trip required.

Consumer credit, financial institutions, investments, mutual funds, insurance, social security, home ownership, taxes, estate planning. Credit not applicable to business major requirements.

Time value of money, financial securities and markets, financial decision making, valuation techniques, and cost of capital.

Introduction to financial planning including budgeting, credit, investing, retirement and estate planning, and tax considerations.

Relationships between location and value; patterns of urban land use; legal, financial, and organizational framework of the real estate business.

Washington real estate regulations found in the Revised Code of Washington (RCW) and the Washington Administrative Code (WAC).

Concepts in risk management and insurance; personal risks and treatment methods; legal principles in risk and insurance; overview of the insurance industry, company operations, and insurance regulation.

Characteristics of financial markets and institutions; analysis of fixed-income securities; and introduction to financial risk management.

Problems facing financial institution managers and solution techniques; credit risk analysis and management; financial institutions structure and regulation.

Application of finance theory and principles to corporate decisions such as capital budgeting, cost of capital, financing decisions, and valuation.

Short-term financial management, working capital components, cash management, short-term investing and borrowing.

Investment objectives, modern portfolio theory, valuation, equilibrium, market efficiency and asset classes. Credit not granted for more than one of FIN 427 and 437.

Pricing of forwards, futures, options, and swaps, financial derivatives markets, and managing portfolio risk.

Corporate finance, portfolio, option pricing, risk management and fixed income modeling.

Comprehensive financial plan development including data gathering and analysis, using financial planning software, client interactions, ethics and practice standards.

Students manage a portion of the university's endowment; including security analysis, valuation, equilibrium, market efficiency, and modern portfolio theory. Credit not granted for more than one of FIN 427 and 437.

Students manage a portion of the university's endowment. Topics include portfolio risk management, return attribution, private equity, and hedge funds.

Instruments and institutions of real estate and financing: decision-making tools, mortgage financing analysis, mortgage securities and real estate portfolios.

Analysis of the personal risks of premature death, poor health, and retirement security; financial planning solutions to these risks, including life insurance, health insurance and annuities.

Analysis and management of business property, liability and consequential loss exposures; issues in the property and liability insurance industry.

Identification and analysis of loss exposures of business and non-profit organizations; application of risk treatment measures including loss control and risk financing alternatives.

Financial management of multinational businesses; international financial market rates and capital flows. International economic institutions, sources of capital, and investments.

Overview of various disciplines of kinesiology, associated degrees, and careers; provides strategies for academic and professional development, including advising procedures.

Basic concepts of physics, including general motion, linear and angular acceleration, contact, stress-strain, gravity, energy, heat, torque, fluids, levers, optics and electrical fields; emphasis on the relationship between these concepts and the physiology and practice of sport and physical activity.

Development and performance of human motor patterns; understanding of motor development; observation and analysis of foundations of movement.

Introduction to the major theoretical perspectives in the philosophy of sport and movement.

Knowledge of the multi-dimensional aspects of wellness and concepts necessary for a positive lifestyle through self-assessment.

Comprehensive survey of the structure and organization of the human body; emphasis on skeletomuscular, cardiovascular, nervous, and respiratory systems.

Physiological, mechanical, and health-related basis of fitness practices.

Prevention and management strategies for common activity-related injuries and illnesses for the non-health care provider.

Current and evidence-based knowledge regarding the application and compliance of sound nutritional and diet considerations within special active populations. (Crosslisted course offered as KINES 305, ATH T 305.).

Basic information and guidelines for enhancement of athletic performance, injury prevention, rehabilitation and general fitness.

Key research methods used in Kinesiology with an emphasis on reading, evaluating and applying research evidence.

Social and psychological factors related to participation and performance in physical activity (e.g., sport, exercise, recreation, rehabilitation).

Qualitative analysis of human movement in everyday activities; introduction to physics principles and how they contribute to functional movements.

Advanced injury rehabilitation theory and techniques in athletic training.

Introduction to exercise physiology as it relates to sport, physical training, and performance.

Application of exercise prescription principles with a client, from ACSM and NSCA guidelines for assessment and testing, and health score interpretation; movement and active participation in movement activities is expected from all students.

Hands-on, supervised study of human anatomy through cadaver dissection, intended for future healthcare professionals and researchers.

Advanced strength training, including an in-depth look at programming of strength and fitness programs.

Motor learning and motor control areas; neural mechanisms, practice, feedback, retention, and transfer application of theoretical concepts.

The organization and administration of athletic training programs.

An integrated culmination of the knowledge, understanding, and skills for teaching movement activities to individuals with medical conditions.

Review of basic arithmetic and elementary algebra. No credit earned toward degree.

Fundamental algebraic operations and concepts, linear systems and inequalities, polynomial and rational functions, introduction to exponential and logarithmic functions.

Nature and scope of modern mathematics, and its relationships to other disciplines.

Graphs, properties and applications of polynomial, rational, exponential and logarithmic functions.

Graphs, properties and applications of trigonometric functions.

Individualized instruction on mathematical skills to enhance the mathematical background necessary for success in MATH 171.

Tutorial for MATH 105 focusing on concept development and mastery; skill proficiency.

Tutorial for MATH 106 focusing on concept development and mastery; skill proficiency.

Differential and integral calculus with emphasis on life science applications. By department consent, credit may be allowed for two of MATH 140, 171, 202, or DATA 121.

Differential and integral calculus of one variable with associated analytic geometry. By department consent, credit may be allowed for two of MATH 140, 171, or 202.

Techniques and applications of one-variable calculus; estimations; series, derivative of a vector function. Credit not granted for both MATH 172 and 182.

Single variable calculus, series, with emphasis on conceptual development and problem solving. Credit not granted for both MATH 172 and 182.

Mathematical analysis using polynomial, exponential, and logarithmic functions; linear systems, linear programming and mathematics of finance, for business/economic applications and modeling.

Differential calculus of the polynomial, exponential, and logarithmic functions; focus on unconstrained and constrained optimization, single and partial differentiation. By department consent, credit may be allowed for two of MATH 140, 171, or 202.

Discrete mathematics, trees, graphs, elementary logic, and combinatorics with application to computer science. Recommended preparation: Programming course.

Solving linear systems, matrices, determinants, subspaces, eigenvalues, orthogonality. Credit not granted for more than one of MATH 220, 225, and 230.

Solving linear systems, matrices, determinants, subspaces, eigenvalues, orthogonality, machine learning, AI, computer graphics, and economic models. (Crosslisted course offered as MATH 225, DATA 225.) Credit not granted for more than one of MATH 225, 220, and 230.

An introduction to linear algebra with an emphasis on conceptual development. Credit not granted for more than one of MATH 230, 220, and 225.

Comprehensive development of number systems emphasizing place-value, integers, rational numbers, and associated algorithms; methods of problem solving.

Inquiry-based approach to fundamental concepts: measurement, geometrical constructions, similarity, congruence, symmetry, probability, counting principles, measures of central tendency, and distributions. Required preparation: One year of high school geometry.

Calculus of functions of several variables. Credit not granted for both MATH 273 and 283.

Multivariable calculus with emphasis on conceptual development and problem solving. Credit not granted for both MATH 273 and 283.

Examination of some current computer software for solving mathematical problems. Recommended preparation: MATH 315.

Mathematical arguments and the writing of proofs.

Divisibility properties of integers; congruences; Diophantine equations; quadratic residues.

Topics in 2D and 3D geometry including technology-based reasoning and exploration, deductive arguments, transformational and proportional reasoning, and non-Euclidean geometries.

Linear differential equations and systems; series, numerical and qualitative approaches; applications.

Algebra as a deductive system; number systems; groups, rings, and fields.

Introduction to combinatorial theory: counting methods, binomial coefficients and identities, generating functions, occurrence relations, inclusion-exclusion methods.

New curricula and pedagogical techniques for secondary school mathematics.

Mathematical biology and development of mathematical modeling for solutions to problems in the life sciences. (Crosslisted course offered as MATH 340, BIOLOGY 340.).

Algebraic reasoning, classes of functions, translation among models, analytical rule, tables of data, context and coordinate graphs.

Probability and statistics in relation to middle school mathematics and real world problems through visualization, hands-on activities, and technology.

Algebra of linear inequalities; duality; graphs, transport networks; linear programming; special algorithms; nonlinear programming; selected applications.

Properties of sets and sequences of real numbers; limits, continuity, differentiation and integration of functions; metric spaces.

Sequences of functions, power series, multivariable calculus, inverse and implicit function theorems, Lagrange multipliers, change of variable in multiple integrations.

Geometry as a deductive system of logic; postulational systems; projective and non-Euclidian geometries.

Introduction to financial mathematics including the basics of annuities, stocks, bonds, and financial derivatives.

Linear systems; qualitative theory (existence, uniqueness, stability, periodicity); boundary value problems; applications.

Efficient generation of random variables; statistical analysis and validation techniques; variance reduction; Markov Chain Monte Carlo methods; applications include complex systems, financial models, and Bayesian computation. Required preparation must include probability and statistics and programming experience.

Vector spaces, linear transformations, diagonalizability, normal matrices, inner product spaces, orthogonality, orthogonal projections, least-squares, SVD.

Properties of algebraic structures and their homomorphisms, semi-groups, groups, rings, unique factorization domains, fields.

Pre-algebra, algebra functions and geometry examined from an advanced perspective, for secondary and lower level college teachers.

Applied partial differential equations; Fourier series; Bessel functions and Legendre polynomials as harmonics for disks and balls; Laplace, heat, and wave equations; separation of variables and D'Alambert's formula. Required preparation must include differential equations. Credit not granted for both MATH 440 and MATH 540.

Complex numbers and complex-valued functions of one complex variable; analytic functions and Cauchy-Riemann equations; differentiation and contour integration; Cauchy integral theorem; Taylor and Laurent series; residues; conformal mapping; applications to potential theory. Required preparation must include differential equations.

Fundamentals of numerical computation; finding zeroes of functions, approximation and interpolation; numerical integration (quadrature); numerical solution of ordinary differential equations. Required preparation must include differential equations and a programming course.

Graphs and their applications, directed graphs, trees, networks, Eulerian and Hamiltonian paths, matrix representations, construction of algorithms. Required preparation must include linear algebra. Recommended preparation: MATH 301. (Crosslisted course offered as MATH 453, CPT S 453.).

Sampling distributions; hypothesis testing and estimation; maximum likelihood; likelihood ratio tests; theory of least squares; nonparametrics. Recommended preparation: One 3-credit 400-level STAT or probability course. (Crosslisted course offered as STAT 456, MATH 456.) Credit not granted for more than one of STAT/MATH 456 or STAT 556.

Linear and integer programming; optimization problems; applications to economic and military strategies; rectangular games; minimax theory. Recommended preparation: MATH 301.

Formulation and solution of network optimization problems including shortest path, maximal flow, minimum cost flow, assignment, covering, postman, and salesman. Credit not granted for both MATH 466 and MATH 566. Required preparation must include linear programming. (Crosslisted course offered as MATH 466/566, CPT S 456/556.).

Introduction to mathematical modeling of natural processes; methods include dimensional and scaling analysis, perturbation theory, field theory of continuum mechanics, calculus of variations, and Markov chains; applications to physics, chemistry, biology, and engineering. Required preparation must include differential equations.

Microbiology for the informed citizen as it impacts humans and their environment. Not for students needing BIOLOGY 106 and 107.

Principles of modern and classical genetics. (Crosslisted course offered as MBIOS 301, BIOLOGY 301.).

Modern biochemistry for undergraduates in the biological sciences.

Basic microbiology and molecular biology techniques.

Structure, function, nutrition, physiology, and genetics of microbes and their application to immunology, pathology, microbial diversity, and environmental microbiology. Recommended preparation: MBIOS 303.

Laboratory for MBIOS 305.

The role of DNA in natural processes and diseases; impact of biotechnology on health care, agriculture, industry, and our lives. Recommended preparation: One college-level course in biology highly recommended.

Discussion of microorganism behavior in nature and microbial activities influence on ecological balance.

Laboratory methods in cell biology, genetics and molecular biology.

Cellular structure and function; membrane biochemistry and transport; cell-cell communication; regulation of cell cycle and apoptosis; cell signaling; cancer biology. Recommended preparation for graduate students: Introductory genetics and biochemistry coursework. Credit not granted for both MBIOS 401 and MBIOS 501.

Basic principles of modern and classical genetics utilizing several species.

Introduction of prokaryotic and eukaryotic genome organization and gene expression, modern molecular techniques, experimental approaches, genome and gene function and analyses.

Microbial pathogens and their relationship to disease.

Techniques and tests for the identification of bacteria pathogenic for humans.

Structure and function of proteins, nucleic acids and biological membranes; principles of enzymology; biochemical methodology. Recommended preparation for graduate students: Introductory biochemistry coursework. Credit not granted for both MBIOS 413 and MBIOS 513.

Metabolism of carbohydrates, proteins, fats, bioenergetics; photosynthesis; control of metabolic processes. Credit not granted for both MBIOS 414 and MBIOS 514.

Exploration of individual and population genetics leading to critical discussion of current social, medical, and scientific issues.

Genetics of bacteria, bacteriophages and plasmids; regulation of gene expression; genetic manipulation of microorganisms.

Fundamental principles in immunology including the cultivation and characterization of viruses using laboratory techniques.

Principles of basic immunology. Credit not granted for both MBIOS 440 and MBIOS 540. Recommended preparation for graduate students: Introductory microbiology coursework; concurrent enrollment with MBIOS 548 highly recommended.

The biology of bacterial, animal, and plant viruses. Recommended preparation for graduate students: Introductory genetics and biochemistry coursework; concurrent enrollment with MBIOS 548 highly recommended. Credit not granted for both MBIOS 442 and MBIOS 542.

Study of diseases in human populations; concepts of etiology, disease rates, susceptibility and risk factors, screening for disease, and prevention.

Basic microbial physiology and its relevance to the processes of applied microbiology. Recommended preparation for graduate students: Introductory genetics, biochemistry or microbiology coursework. Credit not granted for both MBIOS 450 and 550.

Techniques related to the structural and functional analysis of macromolecules including proteins, lipids and carbohydrates.

Biochemical reactions and processes, molecular recognition, coupled reactions, enzyme catalysis, analysis of macromolecular structure by electrophoresis, sedimentation, viscosity, and spectroscopy.

Computer analysis of protein and nucleic acid sequences, functional genomics and proteomics data; modeling biological networks and pathways. Recommended preparation for graduate students: Introductory genetics or biochemistry coursework. Credit not granted for both MBIOS 478 and MBIOS 578.

Application of learning and theory and philosophy and structure of science in teaching middle and secondary school science courses. (Crosslisted course offered as BIOLOGY 430, MBIOS 480, TCH LRN 430.).

Integration of assessment, curricular, and technological tools into instruction that aligns with learning theory and the philosophy/structure of science. (Crosslisted course offered as BIOLOGY 431, MBIOS 481, TCH LRN 431.).

Introduction to 3-D solid modeling, parts, drawings, assemblies, multi-body parts, sketch editing, sheet metal, weldments, surface and mold tools.

Kinematics and kinetics of particles and rigid bodies; introduction to mechanical vibration.

CAD based analysis for engineering design, the application of motion, FEA and CFD, CAD simulations to the engineering design process.

Mechanical behavior of materials and application to engineering structures.

Introduction to the computational methods used for solving numerical problems in engineering. (Crosslisted course offered as ME 241, MSE 241.).

Thermodynamic properties of matter, ideal and real gases, work and heat, first and second laws and their application to engineering systems.

Fluid statics, laminar and turbulent flow, similitude, pipe flow, boundary layers, lift and drag and measurement techniques.

Conduction, radiation, and convection heat transfer; analytical, numerical, experimental results for solids, liquids, and gases; heat exchanger design.

Instrumentation, data acquisition, and theory verification in the thermal and fluid sciences.

Manufacturing processes, material fabrication, and nontraditional processing.

Manufacturing processes laboratory in machining, welding, forming; manufacturing project.

Traditional and advanced manufacturing processes for metals, plastics, and ceramics.

Analysis and modeling of engineering problems utilizing numerical and mathematical techniques and computers.

Optimal design of machinery; analysis for prevention of machine elements failure.

Fundamentals of vibration analysis, control systems, system modeling and dynamics analysis.

Integration of mechanical and microprocessor-based systems; control theory implemented with data acquisition systems; sensors; actuators, signal conditioning, programmable logic controllers.

Design and analysis of thermofluid systems using principles of thermodynamics, fluid mechanics and heat transfer.

Designing, conducting, and reporting of experimental investigations involving mechanical equipment.

Basic concepts and applications of computational fluid dynamics to the analysis and design of fluid systems and components.

Elasticity, elastic stress distributions; plastic deformation of single and polycrystals; introduction to dislocation theory and its applications; creep, fracture, fatigue. (Crosslisted course offered as MSE 413, ME 413.).

Systems and component design; product development from specifications to manufacturing; team-based CAD design projects; engineering economics; engineering professional skills.

Integrative design in mechanical engineering; multidisciplinary design project considering both technical and non-technical contexts; organizational dynamics and communications.

Principles of heat and moisture transfer; air motion and purity in buildings; design of systems.

Introduction to wind energy engineering concepts including aerodynamics, controls, resource estimation, turbine design, and wind farm design.

Internal combustion engines; spark ignition engines, diesels, and gas turbines.

Aerodynamic lift and drag; circulation; boundary layers, application to subsonic aircraft wing design.

Applied nuclear physics; application to the nuclear fuel cycle and nuclear reactor core design; nuclear reactor systems and safety. (Crosslisted course offered as ME 461, CHE 461.).

Fundamentals of nuclear engineering, heat deposition and removal from nuclear reactors, radiation protection, radiation shielding, and licensing, safety, and environmental aspects of nuclear reactor operation.

Review of engineering fundamentals and mechanical engineering discipline specific topics to prepare for the Fundamentals of Engineering Examination.

Design for manufacture and assembly; modern manufacturing philosophies and practices; lean manufacturing; manufacturing cost and time analysis; quality control.

Manufacturing automation and product realization; information technology and electronic data in manufacturing enterprise systems; product life-cycle management (PLM); sustainable and green manufacturing. Field trip to manufacturing industries required.

Analysis and design of feedback control systems. Credit not granted for both ME 481 and 581.

An exploration of the Robot Operating System (ROS) and solutions to simple AI problems using existing machine learning frameworks.

Introduction to the practice of business with explanations of business environments, strategy, organization, functional areas, terminology, processes, tasks and ethics. Credit not allowed for MGMT 101 if credit already earned in B A 100.

Principles of management and administration aimed at improving effectiveness of all types of organizations. Credit not allowed for MGMT 101 if credit already earned in MGMT 301.

Leadership, motivation, team building, group dynamics, interpersonal and group conflict, and job design.

Current trends and issues regarding workplace diversity, equity, and inclusion; effective management of individual differences and similarities and diversity-related dynamics to maximize the benefits of an increasingly diverse and global workforce.

Policy and practice in human resource utilization, selecting, training, motivating, evaluating, and compensating employees; labor relations; EEO legislation.

Selection issues; methods of forecasting, planning, recruitment, selection; analysis of psychometric properties of tests; techniques for assessing reliability and validity.

Theoretical, research, and applied issues related to the compensation of employees.

Analysis of innovation and change theories in organizations; managing innovation in networks and teams; technology, structure, culture, and environment.

Bargaining skills across a broad range of business settings; experiential work.

Management systems and performance frameworks for sustainability practices in an organizational setting; the nature and sources of corporate social responsibilities, including risks and impacts associated with business activities on stakeholders and the environment.

Data presentation, probability, distributions, inferences, and linear regression as applied to business and economics.

Management of operations, emphasizing production planning, inventory control, scheduling, forecasting, quality management, supply chain management, and facility layout and location.

Total quality management as used in industries; philosophy of Deming and others, control charts, process capability analysis, team tools.

Managing and modeling commercial supply chains, emphasizing electronic commerce, purchasing, supplier selection, logistics, global distribution networks, and supply chain coordination.

Use of advanced spreadsheet tools and Visual Basic programming to build and analyze mathematical models of business problems.

Comprehensive overview of the role of management information systems in business, including principles and application of MIS, key issues in developing and implementing information systems, and strategic value of IT to organizations.

The role of the systems analyst, and the application of systems analysis and design techniques in information systems development.

Basic principles of designing and developing enterprise-level business applications.

The management of data in business environments.

Designing, managing, and securing corporate information technology infrastructures.

Exploration of issues and approaches in managing the information systems function in organizations and how the IS function integrates/ supports/ enables various types of organizational capabilities utilizing a senior management perspective.

Fundamentals of using information systems for business intelligence and decision support.

The process of making strategic business decisions through the use of business intelligence, including defining business problems, managing of business intelligence assets, identifying the necessary data to answer identified problems, and interpreting business intelligence output to strategically inform decision making.

Capabilities of the Internet to support and enable global electronic commerce; effective design and implementation; managerial issues.

Principles and techniques related to managing information systems projects in global business environments.

Basic psychological principles of influence and the development of persuasive professional communication skills for career advancement and as life skills.

An introduction to the marketing process and the strategic managerial decisions that are made with regard to product, price, promotion, and distribution.

Use of secondary and primary data to facilitate marketing managers' decision-making capabilities; applied marketing research techniques including focus groups, surveys, experiments and statistical analyses; preparation of marketing research reports.

Theory, principles, and practices of professional sales with special attention to the business-to-business market.

Investigation of social processes affecting consumer decision-making and behavior; models of consumer behavior are covered, as are the psychological phenomena of learning, motivation, and attitude development, and the sociological influences of social class, reference groups and culture.

Understanding and implementing marketing theory and analytics on social media and in online environments.

Management of existing products and product lines, and design, development, pricing and marketing of new products in the firm.

Examination of how consumers search and process information (e.g. prices, brand names, advertising), form judgments, make decisions (e.g. choice, purchase, invest, sell), and feel about their decisions afterwards (e.g.

The use of behavioral theories, marketing principles and techniques to benefit society; the importance of marketing as it relates to government regulation of marketing structure, consumer protection, and consumer welfare.

Retailing system; organization, merchandising models, pricing, promotion, location, and control procedures; management decision processes.

An overview of the managerial approaches and theoretical perspectives relevant to planning, implementing, and evaluating integrated marketing communications strategies.

Sales management strategies and plans to achieve a firm's marketing objectives, including the hiring, firing, training, motivation, compensation, deployment, and evaluation of sales personnel.

Advanced theory and principles of professional sales with special attention to the business-to-business market and an emphasis on the application of theory and principles to selling skills.

Marketing strategies for creating customer and firm value in business-to-business markets.

Introduction to the fundamental concepts of materials engineering.

Introduction to the fundamental concepts of materials science.

Introduction to the computational methods used for solving numerical problems in engineering. (Crosslisted course offered as ME 241, MSE 241.).

Structure of materials, electronic structure of solids; thermal, electrical, dielectric, and magnetic properties of materials; semiconductors processing.

Laws of thermodynamics, solution thermodynamics, free energy composition diagrams, mechanisms and kinetics of diffusion; solidification behavior, interfaces and phase boundaries, phase transformations in solids, oxidation, and corrosion.

Materials selection and processing design routes to develop new materials for engineering applications.

Principles and techniques of optical metallography and other laboratory methods used in modern materials science and engineering.

Properties of x-rays, scattering and diffraction; crystal structures; x-ray diffraction methods, transmission electron microscopy and scanning electron microscopy.

Laboratory exercises on materials characterization: x-ray, TEM, SEM.

Major alloy systems and manufacturing processes; materials selection.

Structural characterization, syntheses, and reactions of polymeric materials; relationships between structure and properties, viscoelasticity, deformation, and physical behavior of polymers.

Processing, characteristics, microstructure, and properties of ceramic materials.

Basic concept in design and specifications of engineering composites.

Overview of the different types of materials used in biomedical applications such as implants and medical devices. Credit not granted for both MSE 406 and MSE 506.

Elasticity, elastic stress distributions; plastic deformation of single and polycrystals; introduction to dislocation theory and its applications; creep, fracture, fatigue. (Crosslisted course offered as MSE 413, ME 413.).

Introduction to the brain and nervous system and how they are affected by your environment and everyday activities.

Explore networks involved in sensory perception; learn how art integrates perceptual experiences into works that affect our understanding of ourselves.

Analysis of primary literature and an introduction to scientific communication skills in the molecular life sciences. Recommended preparation: Pre-admitted or admitted major in Biochemistry, Genetics & Cell Biology, Microbiology, or Neuroscience. (Crosslisted course offered as NEUROSCI 201, MBIOS 201.).

Structure and function of the nervous system from single neurons to behavior. Recommended preparation: CHEM 105, NEUROSCI 105.

In-depth concepts, analysis, and discussion of the experimental foundations for understanding nervous system function. Recommended preparation: CHEM 105, CHEM 106.

In-depth exploration of the organization of the brain, and how this organization underlies behavior.

Integrated functioning of organ systems, focusing on mechanisms of disease, organ dysfunction, and disturbances to whole-animal homeostasis and health. (Crosslisted course offered as NEUROSCI 325, VET PH 325.).

Optional laboratory component of NEUROSCI/VET PH 325. Practical analysis of organ function and health using medical diagnostic equipment and clinical cases. (Crosslisted course offered as NEUROSCI 326, VET PH 326. Formerly NEUROSCI 426, VET PH 426.).

Representative modern neuroscience experiments are explored from a conceptual, technical, and design perspective.

Discussion and analysis of current trends in neuroscience and cutting-edge approaches to research.

Cellular and molecular interactions occurring within the nervous system. Recommended preparation: NEUROSCI 430.

Fundamental principles of the organization and plans of circuitry of the nervous system.

Laboratory investigation of fundamental principles of the organization and plans of circuitry of the nervous system.

Brain mechanisms of human and animal emotions. Credit not granted for both NEUROSCI 409 and NEUROSCI 509.

Advanced exploration of the principles underlying cellular, sensory, motor and integrative functions of the nervous system. Recommended preparation: previous or concurrent enrollment in PHYSICS 102 and 112, or PHYSICS 202 and 212, or PHYSICS 206.

Advanced laboratory exploration of the principles underlying cellular, sensory, motor, and integrative functions of the nervous system. Recommended preparation: MBIOS 303.

Algebra/trigonometry-based physics; topics in mechanics, wave phenomena, temperature, and heat; oriented toward non-physical science majors.

Algebra/trigonometry-based physics; topics in electricity, magnetism, optical phenomena, relativity, and quantum theory; oriented toward non-physical science majors.

Algebra/trigonometry-based physics lab; topics in mechanics and oscillations; heavy emphasis on group work; oriented toward non-physical science majors.

Algebra/trigonometry-based physics lab; topics in electricity, magnetism, optical phenomena; heavy emphasis on group work; oriented toward non-physical science majors.

Interactions of physics with society; energy; air and water pollution; recycling; communications and computers; physics and war; physics and art. Recommended preparation: UCORE [QUAN]. Credit not allowed for students who have earned credit for PHYSICS 408.

Survey of physics as found in everyday phenomena; including many hands-on activities and home experiments.

Calculus-based physics; topics in motion and dynamics of particles and rigid bodies, vibrations, wave phenomena, and the laws of thermodynamics.

Calculus-based physics, topics in electricity, magnetism, electromagnetics, D/C and A/C circuits, optics, reflection, refraction, interference, diffraction, polarization.

Calculus-based physics, honors section; mechanics, sound, and thermodynamics.

Calculus-based physics, honors section; electricity, magnetism, light, topics in modern physics.

Calculus-based physics lab; topics in motion and dynamics of particles and rigid bodies, vibrations, waves; heavy emphasis on group work.

Calculus-based physics lab; topics in electricity, magnetism, electromagnetics, circuits, optics, reflection, refraction, interference, diffraction, polarization; heavy emphasis on group work.

Quantum and relativity theories with applications to atomic, solid state, nuclear and elementary particle physics.

Continuation of PHYSICS 303.

Particle motion in one-, two-, and three-dimensions; motions of systems of particles; rigid body motion; Lagrange's equations.

Multi-disciplinary introduction to the acoustics of musical sound with a hands-on approach, including human hearing and perception.

Thermal behavior of systems; energy and entropy; equations of state; changes of phase; elements of continuum and statistical approaches.

Electrostatic fields, magnetic fields, dielectric and magnetic media.

Continuation of PHYSICS 341. Maxwell's equations; electromagnetic waves, special relativity.

Laboratory construction and investigation of electronic circuits employed in research instruments.

Experiments in modern and quantum physics, fundamental interactions of radiations with matter.

Polarization, interference, coherence, and diffraction phenomena of the electromagnetic spectrum; optics of solids; laser resonators; gaussian beams; ABCD matrices.

Introduction to quantum theory with applications to atomic physics.

Fundamentals of quantum mechanics required for quantum computing and quantum information science; technologies and platforms that enable quantum applications to computing, simulation, and advance sensing. Credit not granted for both PHYSICS 455 and PHYSICS 555.

Introduction to atomic and molecular physics; spectroscopy.

Introduction to the physics of solids; crystal structures, lattice vibrations, and electron theory.

Nuclear systematics, apparatus of nuclear research, radioactivity, nuclear-atomic interactions, nuclear reactions and scattering; introductory particle physics.

Fundamental physics and thermodynamics of the cell; mechanics of biomolecular machines. Credit not granted for both PHYSICS 466 and PHYSICS 566.

Survey of the basic terms, processes, principles, and theories related to the scientific study of human behavior.

Analysis of cultural, societal, individual, and physiological factors underlying drug addiction.

Introduction to the major, degree requirements, resources for degree planning, graduate degrees, and careers for psychology majors. Recommended preparation: PSYCH 105.

An exploration of stress management and mindfulness practices. Recommended preparation: PSYCH 105.

How psychology uses reasoning, skepticism, and the scientific method to evaluate claims made in everyday life.

Survey of topics in positive psychology with the focus being on a wholeness approach to well-being, examining both positive and negative experiences and empirically based strategies for cultivating one's own happiness.

Sexuality in personal development; personal, cultural, biological influences on sexual identification and behavior; fertility, reproduction, sexual functioning, sexuality and personality. Recommended preparation: PSYCH 105. (Crosslisted course offered as PSYCH 230, WGSS 230.).

Biopsychological effects of the major classes of abused and psychotherapeutic drugs, including alcohol, stimulants, sedatives and hallucinogens. Recommended preparation: PSYCH 105; BIOLOGY 102, BIOLOGY 107, or BIOLOGY 101 and 105.

Job analysis and evaluation; personnel recruitment and selection; design and evaluation of training systems; performance appraisals. Recommended preparation: PSYCH 105.

Human-centered AI in work systems; organizational and ethical impacts of AI design and deployment. Recommended preparation: PSYCH 105.

Employee motivation satisfaction and commitment; organizational communication; leadership; group behavior, teams and conflict; organizational change and development. Recommended preparation: PSYCH 105.

Psychology applied to cultural diversity in organizations; interpersonal and intergroup relationships; diversity training; EEO legislation and affirmative action. Recommended preparation: PSYCH 105.

Workplace stressors and their effects on employee health, well-being, and safety; employee burnout, engagement, and stress management interventions. Recommended preparation: PSYCH 105.

Descriptive statistics, probability, and inference; design and interpretation of research. Recommended preparation: PSYCH 105.

Designing, conducting, and reporting research in selected areas of experimental psychology. Recommended preparation: PSYCH 105.

Psychological and physiological aspects of stress; health behavior and disease prevention; adjustment to chronic illness. Recommended preparation: PSYCH 105.

Theories, concepts, methods, discoveries in psychology of personality. Recommended preparation: PSYCH 105.

Contemporary overview of the psychological theory and research on sex and gender. Recommended preparation: PSYCH 105. (Crosslisted course offered as PSYCH 324, WGSS 324.).

Theories and principles of self-control; factors contributing to successful self-control. Recommended preparation: PSYCH 105.

Analysis of behavior; application of behavioral principles to self-modification projects. Recommended preparation: PSYCH 105.

An introduction to psychological disorders, their diagnoses, contributing factors, and treatments.

Development of conceptual frameworks to guide the treatment and research of patient's co-occurring chemical dependency and psychiatric disorders. Recommended preparation: PSYCH 105.

Introduction to the ways in which psychological science is used to inform the legal system. Recommended preparation: PSYCH 105.

Attitude changes, conformity, interpersonal relations, groups and social influences explored to give a coherent view of social psychology. Recommended preparation: PSYCH 105 or SOC 101. (Crosslisted course offered as PSYCH 350, SOC 350.).

Introduction to biological and psychosocial influences on infant, child and adolescent development. Recommended preparation: PSYCH 105.

Psychological processes of aging; changes in sensory, motor, cognitive, motivational and personality characteristics; research methodologies for the study of aging. Recommended preparation: PSYCH 105.

Functional relationship between nervous system and behavior; integrated organ systems, sensory processes, and investigative procedures. Recommended preparation: PSYCH 105 or PSYCH 265; BIOLOGY 102, BIOLOGY 107, or BIOLOGY 101 and 105.

Perception of size, depth, form, shape; illusions, contrast; historical and modern theories and research; applications and demonstrations. Recommended preparation: PSYCH 105.

Biopsychosocial models of alcohol use and misuse; biology, effects, risk, and protective factors, assessment and diagnosis, and prevention of alcohol use and abuse disorders. Recommended preparation: PSYCH 210, 312.

Concepts, methods, theories, trends, and systems. Recommended preparation: PSYCH 105.

Multidisciplinary analyses of the relationship between social-ecological and political contexts and individual and collective psychology.

Introduction to test and survey development in clinical, organizational, and educational settings; assessment of attitudes, personality, and behavior. Recommended preparation: PSYCH 105.

Professional problems; theory, training, relations with clients, institutions, public. Recommended preparation: PSYCH 105.

Advanced addiction treatment approaches for individuals, couples, families and groups within a human services framework; integration of relapse prevention techniques. Recommended preparation: PSYCH 110.

Training in basic skills to work with varied types of clients; didactic and role play instruction. Recommended preparation: PSYCH 105.

Theoretical and empirical approaches to the description, etiology, and treatment of behavior disorders in children and adolescents. Recommended preparation: PSYCH 105; PSYCH 333.

Psychological concepts applied to the mixture of positive and negative interactions individuals have with their physical environment. Recommended preparation: PSYCH 105.

Overview of social, cultural, and historical perspectives on dealing with addictive behavior. Recommended preparation: SOC 101, PSYCH 105, or CRM J 101. (Crosslisted course offered as PSYCH 468, CRM J 468, SOC 468.).

Different motivational systems; analysis of environmental and biological factors influencing motivation, with emphasis on human motivation. Recommended preparation: PSYCH 105; PSYCH 350, PSYCH 372, PSYCH 490, or PSYCH 491.

Neurophysiological, hormonal, and biochemical bases of regulatory behavior; theoretical and applied issues. Recommended preparation: PSYCH 105.

Introduction to the field of gerontechnology, including aging and senses, mobility and exercise, data analysis, and research methods. (Crosslisted course offered as CPT S 485, PSYCH 485.).

In-depth exploration of gerontechnology, including socialization, caregiver issues, dementia, app design and data visualization. (Crosslisted course offered as CPT S 486, PSYCH 486.).

Introduction to the discipline of sociology: Concepts and methods used in the inquiry into the social world.

The structure of social institutions and cultural factors that constitute threats to society (crime, poverty, discrimination, drugs, family violence).

Use of social psychological principles to communicate effectively with diverse audiences.

Similarities and differences in murder and mass mayhem within the US and between US and other nations.

Role of technology in social evolution; social impacts and shaping of technology. Recommended preparation: SOC 101.

Sociological study of sport in America.

Historical, international, socioeconomic, ethical and personal perspectives on disability; individual choices, societal values, and social responsibility.

Social and personal factors in mate selection; the sociology of sexuality; development of gender roles; and intimate relationships and marriage. (Crosslisted course offered as SOC 251, WGSS 251.).

Study of intersections among race, class, gender, sexuality, and dis/ability through case studies; experiences in interdisciplinary methods. (Crosslisted course offered as WGSS 300, ENGLISH 310, SOC 300.).

Analysis of the development of masculinity in its biological and cultural forms. (Crosslisted course offered as WGSS 302, SOC 302.).

Foundations of sociological theory; introduction to original works of early social theorists. Recommended preparation: SOC 101.

Investigate and communicate with social science data; techniques of visual data display using Excel and other tools.

Designing, conducting, and reporting social research.

Methods of collecting data; surveys, experiments, field observations; organization and interpretation of data; reading social research findings.

Making sense of data and storytelling with numbers. Gain career-related skills in analyzing, interpreting, and reporting on social data.

Introduction to population studies and to measurements of fertility, mortality, and migration; study of impacts of populations changes on contemporary social issues (e.g., mass incarceration, poverty, teen pregnancy, environment).

The study of human-environment relationships and the connections between environmental, economic, and social systems. Recommended preparation: SOC 101.

Recent developments in the sociological study of science and scientific knowledge through cultural, commercial, and political perspectives.

Study of the societal dimensions of health and medicine: social determinants of health.

Consumption and its impacts on the environment and society.

Theoretical, historical, and empirical issues of food and agriculture in the United States including social, political, and economic aspects. Recommended preparation: SOC 101.

Reflections on personal experiences with climate change, climate politics and policy, scientific uncertainty, and more.

Causes and consequences of poor and minoritized communities' uneven exposure to environmental risks and hazards; social and political solutions that address community level environmental inequities.

Causes and consequences of social inequality in contemporary America. Recommended preparation: SOC 101.

For upper-division students, development of leadership skills necessary for careers in a diverse workplace.

Historical context and current debates on US urban poverty including public policy, employment and education, and gender, race, and ethnicity. Recommended preparation: SOC 101.

Social organization of work in America including historical and contemporary trends, bureaucracy, gender/racial inequality, technological affects, work/family relations. Recommended preparation: SOC 101.

Examination of how educational institutions are influenced by other social forces, how school practices affect individual outcomes and how race/class/gender shape educational opportunity. Recommended preparation: SOC 101.

Racial and ethnic categories and experiences of specific racial, ethnic, and immigrant groups.

Attitude changes, conformity, interpersonal relations, groups and social influences explored to give a coherent view of social psychology. Recommended preparation: PSYCH 105 or SOC 101. (Crosslisted course offered as PSYCH 350, SOC 350.).

Family system and its interaction patterns; family formation and dissolution; marital and partner relations, divorce, sexuality, parenting, work-family balance. Recommended preparation: SOC 101. (Crosslisted course offered as SOC 351, WGSS 351.).

Social issues facing youth; youth and social institutions of education, employment, family, criminal justice system, and politics.

Aging as a lifelong process; behavior, personality competencies, social relations changes over the life course; historical, social structural, demographics, contextual influences.

Sources and consequences of beliefs, norms, and values.

Giving that contributes to flourishing societies; philanthropy, volunteering, cooperation, and altruism.

A survey of the sociology of deviance. Recommended preparation: SOC 101.

Crime measurement, theories of crime, the correlates of crime, and specific types of crime such as white-collar and drug crime. Recommended preparation: SOC 101.

Sociological perspectives on delinquency; delinquent gangs and subcultures; delinquency causation and control; law and its enforcement: juvenile justice and corrections. Recommended preparation: SOC 101.

Intersection of legal and social systems.

History, philosophy, legal process, performance, and outcomes of the juvenile justice and corrections systems. (Crosslisted course offered as CRM J 365, SOC 367.).

Social issues in drug use and addiction; drug policy.

The social, economic, and political factors that influence film production and the impact of films on American culture.

The production of popular culture by media organizations and its effects on society.

Application of economic principles to environmental issues, especially the application of economic theory to environmental valuation, the regulation of pollution, and different ways to achieve sustainable development. (Crosslisted course offered as ECONS 326, SOC 375.).

Construction and maintenance of gender and gender inequality in American society. Recommended preparation: SOC 101. (Crosslisted course offered as SOC 384, WGSS 384.).

Interdisciplinary exploration of issues related to gender and sexuality, explored transhistorically and cross-culturally, including race, class and age differences. (Crosslisted course offered as WGSS 385, SOC 385.).

Gender and inequality at work including occupational segregation, wage inequality and balancing work and family. (Crosslisted course offered as SOC 390, WGSS 390.).

Structural foundations of global social change; theories of intersocietal interactions and interdependencies. Recommended preparation: SOC 101.

Interdisciplinary analysis of complex interaction in the context of colonial and post-colonial development. (Crosslisted course offered as ANTH 418, POL S 418, SOC 418.).

Probability theory, sampling distributions, random variables, matrix approaches to statistical techniques, calculus for statistics and computer applications.

History, facilities, processes, strategies for the correction and punishment of offenders, analysis of concepts of prevention and control of crime. Recommended preparation: SOC 101.

Utilizing Geographical Information Systems (GIS) and mapping tools to examine and visualize epidemiological and social science data; assess public health, social, and policy issues including obesity, cardiovascular disease, and drug use; explore how this work can be applied to interventions.

Overview of social, cultural, and historical perspectives on dealing with addictive behavior. Recommended preparation: SOC 101, PSYCH 105, or CRM J 101. (Crosslisted course offered as PSYCH 468, CRM J 468, SOC 468.).

Social movement processes and social change in historical and contemporary societies. Recommended preparation: SOC 101.

Introduction to descriptive and inferential statistics: t-tests, chi-square tests, one-way ANOVA, simple linear regression and correlation.

Probability models, sample spaces, random variables, distributions, moments, comparative experiments, tests, correlation and regression in engineering applications. Credit not granted for both STAT 360 and 370. (Crosslisted course offered as STAT 360, DATA 360.).

Probability axioms, probability models, random variables, expectation, confidence intervals, hypothesis testing, analysis of variance, control charts. Credit not granted for both STAT 360 and 370.

Concepts and methods of decision science using simple mathematical, statistical and computer based tools to solve complex problems for sound decision making.

Intermediate statistical methods, design and analysis of research studies: completely randomized and randomized block designs, multiple regression, categorical data analysis.

Introductory course covering multidimensional data, multivariate normal distribution, principal components, factor analysis, clustering, and discriminant analysis.

Simple and stratified random sampling; systematic sampling; cluster sampling; double sampling, area sampling.

Hypothesis testing; linear, multilinear, and nonlinear regression; analysis of variance for designed experiments; quality control; statistical computing. Recommended preparation: One 3-credit 300-level STAT course. Credit not granted for both STAT 423 and STAT 523. Credit not normally granted for both STAT 423 and 430.

Multiple linear regression with model selection, dealing with multicollinearity, assessing model assumptions, the LASSO, ridge regression, elastic nets, Loess smoothing, logistic regression, Poisson regression, and the application of the bootstrap to regression modeling. (Crosslisted course offered as STAT 435, DATA 435.).

Data visualization, metric-based clustering, probabilistic and metric-based classification, algebraic and probabilistic dimension reduction, scalable inferential methods, analysis of non-Euclidean data. (Crosslisted course offered as STAT 437, DATA 437.).

Axioms of probability theory; random variables; expectation; generating function; law of large numbers; central limit theorem; Markov chains.

Introduction to the application of mathematics and statistics to the insurance field with a focus on actuarial science.

Introduction to the analysis and application of time series including AR, MA, ARMA, and ARIMA models.

Sampling distributions; hypothesis testing and estimation; maximum likelihood; likelihood ratio tests; theory of least squares; nonparametrics. Recommended preparation: One 3-credit 400-level STAT or probability course. (Crosslisted course offered as STAT 456, MATH 456.) Credit not granted for more than one of STAT/MATH 456 or STAT 556.

Statistical foundations of AI, including data ethics, probability for generative models, inference, predictive modeling, statistical learning, and deep learning, emphasizing theory, real-world applications, and ethical implications. (Crosslisted course offered as DATA 460, STAT 460.).