U of A Courses

This course provides an introduction to financial accounting that concentrates on concepts, relationships, and the procedures involved in preparing and analyzing financial statements of for-profit business organizations. Concepts in this class include accounting for assets, liabilities, and owners' equity.

This course provides an introduction to managerial accounting that concentrates on concepts, relationships, and the procedures involved in understanding the strategic decision making process of managers in for-profit business organizations.

This course provides a basic introduction to both financial and managerial accounting topics. It concentrates on concepts and relationships involved in preparing and analyzing financial statements and some basic decision making for internal financial managers.

Cost and Managerial Accounting covers concepts and analytical procedures necessary in the generation of accounting data for management planning control. Topics covered in this class include cost volume profit analysis, job costing, process costing, standard costing, allocating support costs, budgets, and the decision making process.

Students will be introduced to the MATLAB and Python programming environments. Concepts covered in Python include the Python shell, Python objects, control flow, file input/output, functions, and plotting.

The aim of this course is to provide the students with fundamentals in mechanical drafting and how it relates to manufacturing (CNC and additive manufacturing) and modern computational tools such as finite element analysis. SolidWorks will be used as the main learning and practice tool.

Introduction to airplanes and space vehicles as aerospace systems. Fundamentals that describe these systems. Elements of aerodynamics, airfoils and wings. Airplane performance, stability, and control. Aircraft and rocket propulsion. Fundamentals of orbital motion. Aspects of vehicle conceptual design.

Basic laws and examples of engineering applications of macroscopic thermodynamics; equations of state; reversible and irreversible processes.

Dynamics of particles and rigid bodies as applied to mechanical systems.

Basic principles of laboratory practice and instrumentation; statistical measurement theory including probability distributions, finite statistics, uncertainty analysis regression analysis dynamics of measurement systems; transducers and signal conditioning circuits.

Linear algebra, matrix eigenvalue problems, Fourier series, eigenfunctions, Laplace and Fourier transforms, and applications to ordinary and partial differential equations.

Introduction to linear algebra; solution of engineering problems based upon an integrated approach combining numerical analysis and the use of computers.

This course is designed to teach students practical approaches and limitations of manufacturing with an emphasis on metal working processes. Students begin with instruction on shop safety practices which includes OSHA standards/industrial safety as well as machine-specific safety practices.

Basic equations and their approximation; potential flow theory; fundamentals of airfoil and wing theory; viscous and compressibility effects; an introduction to compressible flows; application to aerodynamics of wings and bodies.

Properties of the atmosphere, concepts in airflow and propulsion, airfoils and wings, airplane performance; energy methods.

Isentropic flow with area changes, normal and oblique shocks, one-dimensional flows with friction and heat addition, choking, method of characteristics, applications.

Fundamentals of fluid mechanics covering properties of fluids, fluid statics, dynamics of incompressible viscous and inviscid flows, control volume formulations of continuity, momentum and energy equations, dimensional analysis, viscous pipe flow, boundary layers and drag.

Analysis of motions and forces in machines, design exercises.

ASTR 196 is a weekly seminar in problem-solving and critical thinking available to freshmen planning to major in astronomy. It is designed to introduce these students to astronomy and the types thought processes they will need to succeed in future courses.

Extragalactic astronomy and cosmology are among the fastest developing fields in astronomy. This course presents cosmology as a modern, quantitative science. It describes what we know about galaxies, the large scale structure of the universe and the beginnings and evolution of the Universe.

Are we alone in the Universe? This is one of the biggest questions humans can ask, and we confront it head-on in this course. This course is an introduction to astrobiology where students explore diverse perspectives of astronomers, physicists, biologists, geologists, and more.

This course, intended for non-science majors, provides an in-depth and comprehensive study of the stars. The basic principles of physics which are needed to understand the stars (e.g. gravity, light, structure of the atom) will also be reviewed.

This course examines questions such as: How old is the Universe? Where did the Moon come from? Should astronauts or robots explore space? Students will study the methods and personalities behind key discoveries, participate in classroom debates, and argue their positions in detailed essays.

Our Solar System is filled with an incredible diversity of objects. These include the sun and planets, of course, but also many hundreds of moons -- some with exotic oceans, erupting volcanoes, or dynamic atmospheres. Billions of asteroids and comets inhabit the space between and beyond the planets.

This course will cover the methods, tools and perspectives to understand energy generation and use, focusing on traditional and alternative energy sources. The goal is to develop scientific and critical thinking in issues related to the technical and economic aspects, as well as policy decisions.

This course explores the science of climate change and the political and commercial issues related to global warming. The first part of the course focuses on the scientific basis of climate change. The students will investigate the concepts and principles required for understanding planetary climates.

This course explores key questions in astrobiology and planetary science about the origin and evolution of life on Earth and the possibility that such phenomena have arisen elsewhere in the Universe. We examine what it means for a planet to be alive at scales ranging from cellular processes up to global impacts of biological activity.

A calculus-based introductory course in astronomy and astrophysics, aimed mainly at sophomore astronomy majors and science majors from other departments.

This course introduces students to the technical skills used in astronomical research, with a focus on computation and instrumentation research. Different areas of research will be explored while engaging in hands-on activities to learn and practice the tools used by researchers.

Optical and radio detectors; observing preparation, data acquisition and reduction, data analysis. Observing at optical and radio wavelengths. Astrophysical applications of radio data and optical imaging. Computer software and computer-code writing to reduce astronomical data and to solve astronomical problems.

Historical development of astronomical concepts and the scientific method; cosmological concepts from ancient times to the present; controversies in astronomy in the recent past and at present.

As science and technology advance at an accelerating rate, the role they play in our lives becomes more central. The science fiction genre allows us to project future scenarios of scientific and technological development, and explore the way in which society might deal with these advances.

Long before the invention of the telescope, our ancestors observed the sky and noticed patterns in the movement of celestial objects. In this course, we will study how and why ancient cultures (e.g., Babylon, Maya, Egypt, Greece, Lakota, Polynesia) studied the motions in the sky and contrast this to how we view them today.

Course examines astronomical ideas in works of literature, art, and music. It then contextualizes each work as a bridge between the history of astronomy and the history of the arts. A diverse assortment of cultural works from different periods will be examined, both for their astronomy and for their art.

Observation and measurement are essential parts of scientific exploration. Tucson's world-renown sky conditions allow the exploration of natural phenomena, both astronomical and atmospheric. Instructional language emphasizes quantitative thinking, resourcefulness, creativity, the scientific method, and communication skills.

In this course you will be introduced to and required to build programming skills in Excel, Python, and R as they are the necessary programming tools in the realm of business analytics. You will get hands on experience using the tools to explore, clean, and analyze data to extract key insights and present them in a professional manner.

This is a first course in business statistics, with an emphasis on techniques for data analysis and inference in management. Students are assumed to be familiar with basic descriptive statistics, probability theory, and probability distributions. Meeting will be a mix of lecture and problem-solving.

Corporations today are said to be data rich but information poor. For example, retailers can easily process and capture millions of transactions every day. This course will provide foundations of quantitative analyses to equip students with the necessary background to further develop their analytical skills in their business majors.

In this course you'll be introduced to and required to build programming skills in Excel, Python, and R as they are the necessary programming tools in the realm of business analytics. You'll get hands on experience using the tools to explore, clean, and analyze data to extract key insights and present them in a professional manner.

Introduction to database management systems; relational models; security concurrency, integrity and recovery issues; query interfaces.

An Introduction to Medicine is the introductory course for the BS in Medicine concentration. It will explore clinically oriented problem-solving providing students a general overview of what \"Medicine\"" means and the ability to apply it to their own personal goals and values."

This course offers an overview of our health care system in the larger context of our society. It includes the history of different health care fields, communication with patients, health disparities, discussion of health systems and policy issues, and interprofessional and cross-cultural care.

This course introduces the fundamental language of medicine through the study of medical terminology, word structure, and composition. Students will learn how to analyze, build, and interpret medical terms related to anatomy, physiology, and common diseases of the human body.

This is an introductory Core course in the BS in Medicine concentration. It will provide students an opportunity to gain insight into how medicine applies to various disciplines involved in medicine and health sciences.

This course will explore the foundations of wellbeing, promoters of wellbeing, detractors from wellbeing, and the systemic and organizational issues that are unique to the healthcare system. Students will learn and practice strategies to build healthy resilience, manage chronic stress, prevent burnout, and practice mindfulness.

A critical skill for a healthcare professional is the ability to empathize with patients and team members. Being engaged and finding meaning in the healing professions is an antidote to burnout.

Devices/Medical Technologies in Modern Medicine examines how medical devices and technologies are transforming healthcare. Students will learn how pathophysiological mechanisms can be targeted with innovative devices, and how these technologies are conceived, developed, and tested for clinical use.

This course examines the intersection of women, healthcare, and social determinants of health. Students will explore topics related to women's health, career trajectories, implicit bias, and advocacy.

This course is an introduction for students to gain a foundational understanding of the development and progression of medical knowledge by using a chronological order comparing medical antiquity to the present procedures. The course compares concepts of health and disease with contemporary advancement of medical and surgical techniques.

This course is an introductory overview for the Bachelor of Science degree for Medicine. Students will learn through a variety of methodologies, but specifically with a variety of live, video, simultaneous transmissions from guest speakers.

The Law and Medicine - Parallel Comparison Through Time course is an opportunity for students to consider the chronological discovery, development and progression of medical knowledge compared to the advancement of laws and legal concepts within the same eras.

This course surveys various ethical issues that arise in relation to medicine and healthcare. Students will craft and evaluate ethical arguments about these issues from the perspective of a well-informed philosopher.

This course prepares students in the health care professions to effectively interact with patients across diverse backgrounds and with a variety of mental health diagnoses and personality disorders. Emphasis is placed on active listening, empathy, cultural humility, de-escalation, motivational interviewing, and self-care.

This course is designed for students planning to apply to allopathic medical school following graduation. The course provides a comprehensive review of the Medical School application process and aids students in the development of application materials including the personal statement and experiences section of the AMCAS application.

Intellectual property (patents, copyrights, trademarks) are an increasingly critical part of university impact and medical translation. This introductory course is aimed at undergraduates in health sciences interested in exploring intellectual property and commercialization of medtech.

Representations and analysis of systems of orthographic projection and graphical methods used in engineering design and production, correlated with technical sketching.

Equilibrium of a particle, equivalent and resultant force systems, equilibrium, geometric properties of areas and solids, trusses, frames and machines, shear force and bending moments, friction. Honors section is available.

Material behavior; relationship between external forces acting on elastic and inelastic bodies and the resulting behavior; stress and deformation of bars, beams, shafts, pressure vessels; stress and strain; combined stresses; columns. Honors section is available.

Hydrostatics, continuity, irrotational flow, pressure distributions, weirs and gates, momentum and energy, surface drag, pipe friction, form drag, pipe fitting losses.

Theory of measurements and errors; vertical and horizontal control methods; topographic, public land and construction surveys; use of surveying instruments.

This 1 unit course is designed to give students a basic knowledge of MATLAB programming. The course will cover fundamentals of MATLAB operations with arrays (vectors and matrices), it will discuss how to create script files, function files, use loop and conditional statements and present the computed results graphically.

Unmanned aerial vehicle (UAVs) or drones have a variety of applications in engineering and construction. In this course you will learn about drone deployment for surveying, mapping, quantity takeoff, progress updates, business development, thermal imaging, and inspection.

Technical Communications is a comprehensive course that provides an overview of written and oral communication, as well as group dynamics. Students apply quantitative reasoning skills from STEM fields in the context of effective communication.

Statistical decision theory and its application in civil engineering. Identification and modeling of non-deterministic problems in civil engineering and the treatment thereof relative to engineering design and decision making. Statistical reliability concepts.

Open channel flow, natural streams and waterways, hydrologic analysis and design, pressure flow, analysis and design of pipe networks and pump systems.

Open-channel and closed conduit studies of basic flow phenomena, with emphasis on continuity, conservation of momentum, and exchange of energy; calibration of flow-measuring devices.

Analysis of Structures: beams, frames and trusses. Statically determinate structures; influence lines; deflections by the virtual work method. Statically indeterminate structures using the superposition method.

Design of steel members, connections and simple structures, introduction to load and resistance factor design concept, including tension members, laterally supported and unsupported beams, columns, bolted and welded connections.

Analysis and design of reinforced concrete members subjected to flexure, shear and axial loads; deflection of beams; bond and development of reinforcement.

In this course, we will discuss the fundamental physical and mechanical properties of soils and use them in the design of simple foundation and earth retaining systems. We will use certain fundamental principles of solid mechanics and fluid mechanics to describe the mechanical behavior of soils.

Conduct and interpret soil test results. Test include water content, particle size, permeability, consolidation and shear strength.

Basis for planning, design, and operation of transportation facilities. Driver and vehicle performance characteristics, highway geometric and pavement design principles; traffic analysis and transportation planning.

Provide an opportunity to develop an enhanced understanding of construction industry and practices in preparation to contribute to construction firms, project management consultants, and owners upon graduation and to improve project delivery by understanding linkages between design and construction.

Selected testing of steel, concrete, wood, and bituminous materials according to standard test procedures.

Chemical engineering and environmental engineering calculations and principles of energy and material behavior.

This course will introduce you to the fundamental principles of chemical process analysis. It will equip you with problem solving techniques and will give you experience in the application of these techniques to a wide variety of process-related problems.

Introduction to fluid mechanics and heat transfer applied to chemical engineering.

Human population growth and increasing urbanization are stressing conventional water and energy resources. Sustainability will require the continued exploration of renewable and alternative sources of water and energy.

This course will introduce students to the fundamental principles of numerical computations and analyses using MatLab and Python. MatLab can be used for math computations, modeling and simulations, data analysis and processing, visualization and graphics, and algorithm development.

This course provides an introduction to the field of environmental engineering by examining both environmental processes and environmental systems. Topics addressed include air quality, water quality, solid and hazardous waste, risk assessment, and sustainable technology.

The Chem-E-Car design course is an opportunity for students to engage in a rewarding, hands-on, and collaborative engineering design project. Students gain skills that are integral to success in the engineering profession. Students from all majors welcome.

Introduction to environmental chemistry, equilibrium aquatic chemistry, chemical thermodynamics and introduction to acid-base equilibria, and redox chemistry. Includes software to solve aquatic chemical equilibrium problems.

This course is specifically designed to support campus, and future industrial and public, efforts on achieving carbon neutrality so that sustainability will not be impaired by global climate change.

Introduction to mass transfer analysis of mass transfer operations in chemical engineering, such as distillation, absorption.

Theory and calculations pertaining to fundamental transport processes.

Applications of thermodynamics to equilibrium processes; chemical and physical equilibrium in multicomponent systems.

Fluid mechanics for environmental engineers covers the topics of fluid mechanics with applications relevant to environmental engineers. Fundamental topics include fluid properties, fluid statics, flow concepts, control volume analysis, continuity, energy and momentum concepts, boundary layer concepts, and drag theory.

The course will introduce the basic concepts governing heat and mass transfer in natural and engineered systems and develop the general equations that describe these processes. The applications will emphasize processes in environmental science and engineering.

Air Quality Engineering and Pollution Control provides an integrated look at air pollution as a societal and engineering problem, with a focus on technologies that control air pollutant and greenhouse gas (GHG) emissions at their sources.g., scrubbers, catalytic and thermal oxidizers, filters/cyclones/precipitators).g.

Application of theory and engineering experience to design of unit operations for production of potable water. Covers reactor design and kinetics, conventional water treatment technologies and selected advance treatment topics.

This course focuses on the principles of microbiology, including physiology, metabolism, genetics and ecology. The course explores fundamental microbial processes as well as their environmental significance and application in environmental engineering.

This course is designed for science and engineering majors who need to strengthen their fundamental chemical and mathematical knowledge. This course serves to prepare students for CHEM 151.

CHEM 130 is a one-semester lecture course, designed to introduce students in nursing and public health majors to the fundamentals of chemistry as a foundation of many central topics in allied health fields. This course is designed for non-technical students with minimum science or math backgrounds.

CHEM 141 is the first part of a two-semester lecture series introducing students to the central principles of modern chemistry using a quantitative atoms-first approach. The course covers the foundations of chemistry and examines chemical properties of matter and bonding using the principles of Quantum Mechanics.

CHEM 142 is the second part of a two-semester lecture series introducing students to the central principles of modern chemistry using a quantitative atoms-first approach. The course is intended for students who require a strong foundation in general chemistry, rooted in a technical (mathematical) approach to the discipline.

CHEM 143 is the first semester of a two-semester laboratory sequence designed to provide an introduction to the central principles and practices of modern quantitative chemical analysis.

CHEM 144 is the second semester of a two-semester laboratory sequence designed to provide an introduction to the central principles and practices of modern quantitative chemical analysis.

CHEM 145 is the first semester of a two-semester Online laboratory sequence designed to provide an introduction to the central principles and practices of modern quantitative chemical analysis.

CHEM 146 is the second semester of a two-semester Online laboratory sequence designed to provide an introduction to the central principles and practices of modern quantitative chemical analysis.

Integrated lecture-lab course designed to develop a basic understanding of central ways of knowing, thinking, and acting in chemistry that are useful to explain and predict the physical and chemical properties of chemical substances in real-world systems.

Integrated lecture-lab course designed to develop a basic understanding of central ways of knowing, thinking, and acting in chemistry that are useful to explain, predict, and control the extent and rate of chemical processes in real-world systems.

This Honors version of Chemical Thinking is designed to help students develop a basic understanding of central ways of knowing, thinking ,and acting in chemistry that are useful to explain and predict the physical and chemical properties of chemical substances in real-world systems.

This Honors version of Chemical Thinking is designed to help students develop a basic understanding of central ways of knowing, thinking, and acting in chemistry that are useful to explain, predict, and control the extent and rate of chemical processes in real-world systems.

Advanced techniques in college chemistry; measurements, separations; identification; purification and analysis of organic and inorganic substances.

Advanced techniques in college chemistry; measurements, separations; identification; purification and analysis of organic and inorganic substances. Lab stresses individual studies and library research.

First part of a two-semester integrated lecture and laboratory sequence introducing the central principles and practices of modern chemistry. The course combines the theoretical foundation with a hands-on training in high-value instrumental and analytical skills and methods in the laboratory.

Second part of a two-semester integrated lecture and laboratory sequence introducing the central principles and practices of modern chemistry. The course combines the theoretical foundation with a hands-on training in high-value instrumental and analytical skills and methods in the laboratory.

This course focuses on the foundations of modern analytical chemistry, especially the chemistry, measurement principles, and quantitative methods involved. It covers atomic analytical methods, including electrochemistry and spectroscopy, as well as molecular analysis via separations and mass spectrometry.

This is a one-semester course designed to introduce students to the foundations and central principles of organic chemistry, including the use/interpretation of line-drawn structures, names of functional groups, 3D attributes of molecules, general reactivity, and electron arrow pushing mechanisms.

This course provides an introduction to the field of modern Inorganic Chemistry with a focus on conveying its impact in a range of areas: from materials and technology to catalysis, from the role of metals in biology to metal-based therapeutics.

Principles of modern quantitative analysis, including consideration of stoichiometry, equilibrium principles, treatment of experimental data, titrimetric and photometric analysis, potentiometric analysis, and analytical separation processes.

Experiments in modern quantitative analysis, including statistical analysis of data, acid/base equilibrium, gravimetric analysis, potentiometric analysis, analytical separations, spectroscopy, and mass spectrometry. Emphasis on data reporting and interpretation. Designed for chemistry majors.

This course covers the forensic science enterprise and established methods used to detect, collect, preserve and examine crime scene evidence as well as the legal requirements governing evidence and expert testimony.

A one-semester course designed to advance students' knowledge of the central principles of organic chemistry, including the structure, properties, and reactivity of organic compounds and materials.

Clinical chemistry describes the qualitative and quantitative analysis of critical chemical species in bodily fluids and tissues. This interdisciplinary field includes knowledge from medicine, biology, chemistry, and biochemistry, as well as many other fields.

This course covers the fundamentals and techniques of mathematics with applications to common problems in chemistry and chemical physics. CHEM 380 is designed to be a survey of applied math as encountered in chemistry. Mathematical tools are introduced and explored in a chemistry context.

A one-semester course designed to introduce students to the foundations and central principles of physical chemistry, including quantum mechanics, atomic and molecular structure, spectroscopy, chemical thermodynamics, and kinetics.

This course is intended for students who have no prior programming experience. Several core concepts in computer science will be presented, including problem-solving techniques, data representation, logic, and the physical components of computer hardware.

An introduction to programming with an emphasis on solving problems drawn from a variety of domains. Topics include basic control and data structures, problem solving strategies, and software development tools and techniques.

Provides a continuing introduction to programming with an emphasis on problemsolving. Topics include arrays, lists, stacks, queues, trees, searching and sorting, and exceptions.

The first of a two-course sequence introducing mathematical concepts for Computer Science. Topics include: propositional and predicate logic; proofs; sets, matrices, relations, and functions; integers and modular arithmetic.

An introduction to the development of large scale software. Topics include modularization, design patterns, documentation, unit testing, source code control, build systems, debuggers, and performance tuning; all of the tools necessary for developing software as opposed to writing small programs.

A second course in mathematical concepts for computer science. The topics covered include recursive definitions, recurrence relations, induction, graphs, trees, combinatorics, and discrete probability.

Basic machine organization; elementary hardware concepts; CPU internals. Machine operations and instructions; assembly language concepts and programming.

This course introduces the very broad topic of intelligent technology. The course will lay the foundations for students wishing to pursue AI as a major, as well as serve students who want to learn the basics of AI.

Students will learn how to develop applications for mobile devices. The course will cover the necessary programming language(s), development environment, and a number of platform-specific APIs commonly used in mobile applications such as maps, location services, notifications, camera, and local storage.

Fundamentals of object-oriented software development. Includes design principles, inheritance, polymorphism, Unified Modeling Language (UML), testing, event-driven programming with graphical user interfaces, applications of design patterns, and use of existing frameworks.

Introduction to the techniques and technologies for developing dynamic web sites. This course covers both client-side and server-side development. Client-side development will include HTML, CSS, Javascript, and AJAX. Server-side development will include web server development, deployment and integration with a DMBS.

The course is a implementation-based introduction to basic concepts of human-computer interaction. Students will learn principles and skills for designing, programming, and evaluating interactive systems and demonstrate these skills through coursework.

Introduction to and analysis of algorithms and characteristics of discrete structures. Course topics include algorithm analysis techniques, recurrence relations, structural induction, hierarchical structures, graphs, hashing, and sorting.

This course focuses on cloud programming, with an emphasis on using the cloud to solve Big Data problems. The course will not only look at how distributed systems, databases, networks, etc.

This course introduces the fundamentals of computer science theory, by surveying key concepts from (a) discrete mathematics, (b) data structures and algorithms, and (c) automata and formal languages, that form the foundation of theoretical computer science. This course is not available for credit by computer science pre-majors or majors.

Programming in C, including single and multi-dimensional arrays, lists, stacks, queues, trees, and bit manipulation. Unix topics, including debuggers, makefiles, shell programming, and other topics that support systems programming.

Introduction to and analysis of algorithms and characteristics of discrete structures. Course topics include algorithm analysis, discrete data structures, sorting, hashing, search structures, basic design techniques (divide-and-conquer, dynamic programming, and greed) and graph algorithms.

Introduction to several major high-level programming languages and their characteristics. Programming projects are required in at least three languages.

The course introduces students to principles of data science that are necessary for computer scientists to make effective decisions in their professional careers. A number of computer science sub-disciplines now rely on data collection and analysis.

This course will build upon students' knowledge of C to become proficient at programming in C++. Topics include testing, classes, templates, inheritance, operator overloading, object-oriented design, the Standard Template Library (STL), and event-driven programming with graphical user interfaces.

This course aims to bridge the theoretical and practical aspects of deep learning with applications to natural language processing. We cover the necessary theoretical background and assume minimal machine learning background from students. The code should be understandable by anyone who has taken a Python programming course.

This course will provide students with a summary of the basic concepts, terminology, and principles of Cybersecurity. This course will examine how the Internet has not only created a digital landscape that has penetrated every aspect of modern life, but how it has also given rise to a new threat, cyber criminals.

This course provides an overview of problem solving with information technology. Topics cover information representation, relational databases, system design, propositional logic, and cutting-edge technologies for CPU, operating systems, and networks.

This course will introduce students to logic and problem-solving within scripting language environments. The course will build on the foundations of programming and scripting logic while solving real-world problems and creating practical applications.

This course will provide students with the practical applications of Python programming in support of cybersecurity and digital investigation activities.

This course will provide students with a solid foundation in networking principles and technologies by introducing computer network architectures and network models, fundamental concepts, protocols, and technologies related to wired, wireless, and cloud-enabled networks.

This course provides students with a methodology for analyzing networks by examining the network at its infrastructure, network, and applications layers; exploring how they transfer data; investigating how network protocols work to enable communication; and probing and analyzing how the lower-level network layers support the upper layers.

Our world is changing. Data and Artificial Intelligence (AI) are remaking the way we shop, travel, learn, and live. This course will survey the uses of data science in everyday life. What is data science and how is it driving today's world? To answer these questions we will investigate how machines learn.

According to the Bureau of Labor Statistics, three-quarters of all STEM jobs in the next decade will have a substantial Data Science component in the job description. This course is designed to answer the fundamental questions \"What is data science\""

Sample spaces, random variables and their properties, with considerable emphasis on applications. Computer exercises and hands-on activities will be used in class to introduce the concepts.

An applications-oriented calculus-based statistics course with an introduction to statistical software. Course topics: Organizing data numerically and visually. Axioms of probability, conditional probability and independence. Random variables and expectation with emphasis on parametric families. Hypothesis testing, significance and power.

This course covers statistical methods used for analysis of data sets that contain more than one variable. Topics include multivariate normal distribution, covariance, inference about a mean vector, MANOVA, regression, and classification.

This course will introduce statistical methods and training in statistical consulting aimed to analyze sports by using observational data on players and teams. The course will also offer the opportunity to focus on a semester long sports analytics project in partnership with a University of Arizona athletics team.

Core surveying topics: simple random sampling, stratified sampling, cluster sampling, ratio estimation, sampling with unequal probabilities, sampling weights, analyzing complex surveys, dealing with nonresponse, and advice for questionnaire design. Other topics include online survey panels, small area estimation, and graphing survey data.

Basic computing skills including random variable generation, Monte Carlo integration, visualization, optimization techniques, re-sampling methods, Bayesian approaches, and introduction to statistical computing environments (R and Python). Material will provide hands-on experience with real world problems.

This course will cover some of the more advanced topics in Linear Algebra beyond what is covered in traditional undergraduate courses. The focus will be on exploring theory which is used in real Data Science applications, including matrix factorization, low-rank matrix approximations, kernel methods, graph theory, and optimization.

This course introduces the key concepts underlying statistical natural language processing.

Classical nonparametric statistics study the analogs of the one- and two-sample t-tests and analysis of variance, e.g., the sign test, median test, Wilcoxon test, Kolmogorov-Smirnov test, Anderson-Darling test, Kruskal-Wallis test, Friedman test, and permutation tests.

The course will provide a basic introduction to modern time series analysis. We will cover time series regression and exploratory data analysis, ARMA/ARIMA models, model identification/estimation/linear operators, spectral estimation. Additional topics, e.g.g., R and astsa.

Analysis of cash flows from an actuarial viewpoint. Interest theory, annuities, bonds, loans, and related fixed income portfolios, rate of return, yield, duration, immunization, and related concepts.

An applied course in linear regression, analysis of variance, and generalized linear models for students who have completed a course in basic statistical methods. Emphasis is on practical methods of data analysis and their interpretation, using statistical software such as R.

Applications of Gaussian and Markov processes and renewal theory; Wiener and Poisson processes, queues.

Foundation in the principles of data visualization, particularly as applied to technical data. Hands-on experience using modern software tools for developing visualizations. Ethical issues surrounding data visualization. Introduction to visualization using R's ggplot and Shiny.

The course teaches students fundamentals of machine learning, covering theoretical principles, statistical machine learning methods and tools, computation algorithms, and their applications to real world problems.

This course is an introduction to Bayesian statistics inference and Bayesian computation.

ECE 101 is an introduction to the basic principles of programming and the C programming language. It introduces students to fundamental software design principles and commonly used techniques to solve computational problems. This course also prepares students for more advanced programming courses.

ECE 201 focuses on fundamental concepts of Object-Oriented Programming and data abstraction. Topics include classes, encapsulation, inheritance, polymorphism, exceptions, abstract data types, linked lists, stacks, queues, and binary trees, using the C++ programming language.

Current and voltage dividers. Resistors, capacitors, inductors. Node voltage and mesh current analysis of circuits. Thevenin and Norton equivalents. AC circuits, phasors, impedance. Electromagnetic fields, electric power, transformers, magnetic materials, generators and motors. Operational amplifiers, Elements of digital circuits.

Elementary, transient and sinusoidal analysis of linear circuits with laboratory. Topics include: passive sign convention, mesh and node analysis, Thevenin equivalents, op-amps, capacitance, inductance, first and second order circuits, phasors, impedance, transformers, PSpice simulation software.

This course is approximately one-half linear algebra and one-half probability and statistics. Linear algebra topics include: matrix operations, systems of linear equations, determinants, Gauss-Jordan elimination, vector spaces, basis and dimension, projections, determinants, eigenvalues and eigenvectors.

This one (1) credit course is required of all Electrical and Computer Engineering students. No specific prior classes or prerequisites are assumed.

Electronic properties of semiconductors; carrier transport phenomena; P-N junctions; bipolar, unipolar, microwave and photonic devices.

Principles of lasers; properties and manipulation of laser light; physical effects and operating principles of photonic components and devices including light modulators, displays, and optical fibers; elements of photonic telecommunications.

This course explains how economists see the world. Students learn about basic concepts such as opportunity cost, marginal analysis, supply and demand, and some notions from game theory. Students will also be exposed to economy-wide statistics and models that help us understand business cycles.

We will study the ethics and the economics of such phenomena as market competition, institutions of private and public property, trade restrictions, globalization, and corporate welfare.).

Relationship between man and use of natural resources and environmental systems, with emphasis on the economic implications of alternative environmental, energy and land-use policies.

Examination of industrial structure; theory of prices under varying market conditions; applications to business problems.

An introduction to the study of crime and crime-control policies using standard economic techniques.

Economic history of the United States from the colonial era to the present and what affected the changes in the U.S. economy.

The purpose of the class is to provide students with a firm understanding of the historical development of the economies of different parts of the world and the economy of the world as a whole.

The purpose of the class is to provide students with a firm understanding of the historical development of economic thought.

Commodity and financial futures market participants, evolution, functions, performance, price determination, and regulation with hedging and speculative applications of futures and futures-options contracts.

Analysis of the economics of professional and intercollegiate sports.

Historical development of securities markets. Topics include financial scandals, early origins of Wall Street, the Robber Barons, the Crash of 1929, up to the Enron crisis.

The study of how the macroeconomy is affected by institutions, technology and other forces, and governmental policy.

Analysis of output, employment, interest rates, and the price level; the effects of these on changes in monetary and fiscal variables.

This course examines the constraints that politics imposes on implementing public policy. The course uses the tools of Economics to address these questions. Toward that end, along the way, the course will introduce basic game theory. Game theory is a mathematical tool used to study strategic behavior and strategic situations.

This course uses economic analysis to analyze the basic common law areas of property, contract, tort, and criminal law. Economic tools are used both to understand the basic structure of the law, and to suggest how the law might be made more efficient.

Application and interpretation of statistical measures to problems in economics.

Normative and positive aspects of international trade and international monetary economics, with attention drawn to government policy as it relates to international commercial relations. Not available to students who are enrolled in or have completed ECON 442 or ECON 443.

Analysis of the structure and development of Latin American economics.

Determination of prices and quantities in product and factor markets. If you have dropped ECON 361 with a W, contact econreg@eller.arizona.edu and repeatability will be reviewed on a case by case basis.

The purpose of the class is to provide students with a firm understanding of the transformation that has taken place in the economy of China during the past several decades.

Analysis of the economic development process of newly developing nations.

Analysis of current environmental problems and their potential solutions.

Economic and legal analysis of the issues and problems arising out of executive, legislative, and judicial efforts to define the rights, duties, and responsibilities of labor and management in the field of industrial relations.

Engineering design, effective team participation and career preparation. Students are expected to participate in hands-on design projects, develop education/career plans and initiate development of the personal and management skills necessary for life long learning.

Students will have discussions with successful designers and entrepreneurs, observe the Hack Arizona event, develop a project concept, and develop idea-pitching skills. Students will compete for prizes and awards.

If historical trends continue, by the end of this century the world's population will have nearly doubled, and the demand for energy will have quadrupled.

Laboratory exercises involving the materials science of art and archaeological objects.

Fundamentals of economic analysis and the time value of money for engineers. Construction of financial models in EXCEL including Income, Cash Flow, and Balance Sheet. Estimation of required capital and project acceptance criteria.

Strategic, tactical and operational planning; innovation and technological cycles; the elements of entrepreneurship, and human relations topics for technical managers.

Principles of Financial Management is a course on the financial management within a business organization. The course covers sources of financing as well as the basic financial techniques used of making decisions in elation to costing and budgeting, pricing and investments.

Personal Investing is a course focusing on the investment decision from the perspective of the individual, rather than the institutional investor. Coverage begins with discussion of establishing investment objectives and review of market efficiency. Sources of investing information are also discussed.

Small Business Finance is a course on the financial management of small businesses - sole proprietorships, partnerships, and small private corporations. The purposes of the course is to prepare the student to effectively plan, research, acquire, and utilize financing for a small business.

Real Estate Principles covers real estate essentials including property rights, legal concepts, regulation of real estate, real estate evaluation and financing. This is an online course. Students are required to keep up with assignments on their own. There will be no makeup for missed or late assignments.

This course expands on and applies key methods and tools from introductory principles of financial management, with an additional emphasis on analysis and applications in Microsoft Excel. This course challenges you to apply your expanded learning to the subject company for more detailed analysis.

Financial problems involved in the organization and conduct of business enterprise.

Commodity and financial futures market participants, evolution, functions, performance, price determination, and regulation with hedging and speculative applications of futures and futures-options contracts.

The main objective of this course is to gain understanding of the theory and practice of financial decision making. This course develops the tools and framework necessary to value projects and firms.

Important ideas and applications of information science and technology in the sciences, humanities and arts.

Understanding uncertainty and variation in modern data: data summarization and description, rules of counting and basic probability, data visualization, graphical data summaries, working with large data sets, prediction of stochastic outputs from quantitative inputs. Operations with statistical computer packages such as R.

An introduction to computational techniques and using a modern programming language to solve current problems drawn from science, technology, and the arts. Topics include control structures, elementary data structures, and effective program design and implementation techniques. Weekly laboratory.

At the core of Information Science lies the digital data that is the object of study. Throughout the course, students will be given hands-on experience with actual datasets from a variety of sources including social media and citizen science projects, as well as experience with common tools for analysis and visualization.

This course explores the social, legal, and cultural fallout from the exponential explosion in communication, storage, and increasing uses of data and data production. In this class, we emphasize the opposing potentials of information technologies to make knowledge widely available and to distort and restrict our perceptions.

This course examines the ways in which computing and information science support and facilitate the production and creation of art in current society.

This course will provide the student with the information and experience necessary for the creation and manipulation of digital audio. Students will have the opportunity to experience the music-making process with the technology tools and techniques that are common in both home and professional studios.

While the 20th Century saw the rise of the knowledge worker and the information worker, the 21st Century has ushered in the era of the creative professional. Our society is being rapidly transformed by new technologies that are revolutionizing many spheres of life, from entrepreneurship to artistic production.

An introduction to the mathematical theories of probability and information as tools for inference, decision-making, and efficient communication.

This course will introduce students to the fundamental concepts and tools used to convey the information contained within large, complex data sets through a variety of visualization techniques. Visualization theory will be presented alongside the technical aspect of the course to develop a holistic understanding of the topic.

This course will introduce students to the theory and practice of data mining for knowledge discovery. Topics include understanding varieties of data, classification, association rule analysis, cluster analysis, and anomaly detection.

This course will be inviting for a wide variety of students from across disciplines, and they will learn how to use industry standard tools and practices to make large data sets usable for scientists and other decision makers. Students will be introduced to a variety of technical tools for data management, storage, use, and manipulation.

An introduction to web design and development, with an emphasis on client-side technologies. Topics include HTML, Cascading Style Sheets (CSS), JavaScript, and web design best practices.

This course will provide a comprehensive introduction to web application development, covering JavaScript, front-end development using React/Angular, back-end development using JavaScript based platforms, relational and NoSQL databases and fundamentals of DevOps.

ISTA 331 explores the ideas and techniques that businesspersons and scientists alike use to exploit data in order to create knowledge and make money.

This course will provide an introduction to informatics application programming using the python programming language and applying statistical concepts from a first semester statistics course. The course will include an introduction to the python scientific computing libraries and other statistical packages.

A significant portion of the human brain is devoted to understanding spatial data and its relation to the world. Through the ages humans have naturally developed external representations of such information for communication, planning, understanding, and entertainment.

Natural language processing (NLP) is the study of how we can teach computers to use language by extracting knowledge from text, and then use that knowledge in some meaningful way. We will also examine pragmatic concerns in processing raw text from real-world sources.

The main purpose of this course is to serve as a preparation for MATH 105, MATH 106, MATH 107, and MATH 112, with an emphasis on problem-solving techniques and graphing technology. This course by itself cannot be used to satisfy the foundations math requirement for any degree program. Examinations are proctored.

This course explores algebraic thinking from early childhood through middle school, with a focus on the different conceptions of algebra, including generalized arithmetic; patterns and functions; and modeling. Students will examine the different topics in K-8 algebra from an advanced perspective. Examinations are proctored.

The main purpose of this course is to help students understand, interpret, and represent data in a useful way to prepare students for courses in statistics. With the knowledge they gain, students will be able to better understand and assess the validity of quantitative information they receive through the web, newspaper, television, etc.

The main purpose of this course is to help students use algebraic and trigonometric functions to model real-life situations. Particular emphasis will be placed on applications relevant to Architecture. Examinations are proctored.

Topics include properties of functions and graphs, linear and quadratic equations, polynomial functions, exponential and logarithmic functions with applications. A graphing calculator is required for this course. We recommend the TI-83 or TI-84 models. Such students may be dropped from the course. Examinations are proctored.

Introductory topics in applied differential and integral calculus to include limits, rates of change, differentiation, optimization and integration with an emphasis on linear, polynomial, exponential and logarithmic functions and their applications. Graphing calculators are used as a tool to understand these topics.

Introductory topics in differential and integral calculus, with particular emphasis on understanding the principal concepts and their applications to business. Microsoft Excel and graphing calculators will be used as tools for further understanding these concepts. Such students may be dropped from the course.

An accelerated version of MATH 122B. Introduction to calculus with an emphasis on understanding and problem solving. Concepts are presented graphically and numerically as well as algebraically. A graphing calculator is required for this course. We recommend the TI-83 or TI-84 models. Such students may be dropped from the course.

Continuation of MATH 122B or MATH 125. Techniques of symbolic and numerical integration, applications of the definite integral to geometry, physics, economics, and probability; differential equations from a numerical, graphical, and algebraic point of view; modeling using differential equations, approximations by Taylor series.

Organizing data: displaying distributions, measures of center, measures of spread, scatterplots, correlation, regression, and their interpretation. Design of experiments: simple random samples and their sampling distribution, models from probability, normal distributions, and normal approximations. Examinations are proctored.

In this course we study a formal language, the language of first-order logic (FOL). This language allows one to make mathematically precise the concept of logical consequence; that is, one can say what it means for a sentence in the language of FOL to follow validly from other sentences in that language.

This course is an introduction to secondary mathematics teaching. It is appropriate for students exploring secondary mathematics teaching as a career and required for students declaring a mathematics major in the mathematics education option.

Introduction to Linear Algebra. Vector spaces, linear transformations and matrices including eigenvalues and eigenvectors. There is some emphasis on the writing of proofs. Examinations are proctored.

Math 223 Vector Calculus (4 semester credit hours) The course covers differential and integral calculus of functions of several variables. Examinations are proctored.

Set theory, logic, discrete structures; induction and recursion; graphs and networks; techniques of proof. Examinations are proctored.

Solution methods for ordinary differential equations, qualitative techniques; includes matrix methods approach to systems of linear equations and series solutions. Examinations are proctored.

Organizing data; distributions, measures of center and spread, scatterplots, nonlinear models and transformations, correlation, regression. Design of experiments: models from probability, discrete and continuous random variables, normal distributions, sampling distributions, the central limit theorem. Examinations are proctored.

An algorithmic approach to solving systems of linear equations transitions into the study of vectors, vector spaces and dimension. Matrices are used to represent linear transformations and this leads to eigenvectors and eigenvalues. The precise use of definitions plays an important role. Examinations are proctored.

Divisibility properties of integers, primes, congruencies, quadratic residues, number-theoretic functions.

This course prepares students for working with linear systems that arise in engineering applications. Emphasis is placed on general principles of linearity and orthogonality.

Elementary real analysis as an introduction to abstract mathematics and the use of mathematical language.

Topics to be selected from 2- and 3-dimensional combinatorial geometry, Euclidean transformational geometry, symmetry, geometric optimization (shortest path problems), theorem of the arithmetic and geometric means, isoperimetric problem, polyhedra, and 3- and. 2-dimensional crystallography.

Linear and nonlinear equations; basic solution techniques; qualitative and numerical methods; systems of equations; computer studies; applications drawn from physical, biological and social sciences.

Sample spaces, random variables and their properties, with considerable emphasis on applications. Computer exercises and hands-on activities will be used in class to introduce the concepts.

An applications-oriented calculus-based statistics course with an introduction to statistical software. Course topics: Organizing data numerically and visually. Axioms of probability, conditional probability and independence. Random variables and expectation with emphasis on parametric families. Hypothesis testing, significance and power.

[Taught Fall semester in even-numbered years] Sentential calculus, predicate calculus; consistency, independence, completeness, and the decision problem. Designed to be of interest to majors in mathematics or philosophy.

The development of mathematics from ancient times through the 17th century, with emphasis on problem solving. The study of selected topics from each field is extended to the 20th century.

Math taught in secondary schools from an advanced perspective: Algebra, Geometry, and Discrete Math - with particular emphasis on modeling and investigating the deep mathematics behind \"routine\"" problems."

This course will cover some of the more advanced topics in Linear Algebra beyond what is covered in traditional undergraduate courses. The focus will be on exploring theory which is used in real Data Science applications, including matrix factorization, low-rank matrix approximations, kernel methods, graph theory, and optimization.

Vector spaces, linear transformations and matrices, determinants, eigenvalues and diagonalization, bilinear forms, orthogonal and unitary transformations, Jordan canonical form.

Applications of vector calculus, complex variables, and Sturm Liouville theory. Fourier series, Fourier and Laplace transforms, and separation of variables in classical partial differential equations. This course takes a more mathematical approach than Math 322.

Complex numbers, analytic functions, harmonic functions, elementary functions, complex integration, Cauchy's integral theorem, series representations for analytic functions,residue theory, conformal mapping, applications.

Set theory (countability/uncountability), topological spaces and continuous maps, metric spaces, connectedness and compactness, separability axioms and Hausdorff spaces, Tychonoff product theorem, introductory topics from algebraic topology (homotopy, fundamental group) or category theory.

[Taught Fall semester in even-numbered years] Undirected and directed graphs, connectivity, circuits, trees, partitions, planarity, coloring problems, matrix methods, applications in diverse disciplines.

[Taught Spring semester in even-numbered years]. Introduction to cryptosystems and cryptanalysis. Basic number theory and finite fields. Basic complexity theory and probability. RSA and Diffie-Hellman protocols, factorization and discrete log attacks. Advanced encryption standard. Additional topics as times allows.

[Taught Spring semester in odd-numbered years]. Divisibility properties of primes, congruences, quadratic residues, number-theoretic functions, primality, factoring, applications to crytopgraphy, introduction to algebraic numbers.

[Taught Spring semester in odd-numbered years]. Enumeration and construction of arrangements and designs; generating functions; principle of inclusion-exclusion; recurrence relations; a variety of applications.

General theory of initial value problems, linear systems and phase portraits, linearization of nonlinear systems, stability and bifurcation theory, an introduction to chaotic dynamics.

Properties of partial differential equations and techniques for their solution: Fourier methods, Green's functions, numerical methods.

Analysis of cash flows from an actuarial viewpoint. Interest theory, annuities, bonds, loans, and related fixed income portfolios, rate of return, yield, duration, immunization, and related concepts.

Probability spaces, random variables, weak law of large numbers, central limit theorem, various discrete and continuous probability distributions.

Sampling theory. Point estimation. Limiting distributions. Testing Hypotheses. Confidence intervals. Large sample methods.

Applications of Gaussian and Markov processes and renewal theory; Wiener and Poisson processes, queues.

This course will focus on the mathematical modeling of fluid flows through and around organs and organisms, with an emphasis on topics of current medical and environmental interest. The natural world is replete with examples of cells, organs, and organisms whose shape influences flow to their benefit.

Development, analysis, and evaluation of mathematical models for physical, biological, social, and technical problems; both analytical and numerical solution techniques are required.

MCB 101 is a three-unit course for students with an emphasize in biotechnology including career in biotechnology, history and applications of recombinant DNA technology and the human genome project, and laboratory safety practices.

MCB 102 is a three-unit course for students with an emphasize in human genetics and biotechnology including career exploration, history and applications of recombinant DNA technology, the human genome project, and laboratory safety practices. This course is a continuation of Biotechnology Techniques.

In the first half of the course, the topics will include the mechanisms of genetic transmission, basis of traits, genome replication, and gene expression.

The structure and function of eukaryotic cells with a focus on relationships to developmental biology and experimental analysis. Concepts will be illustrated by demonstrating links to processes important for the development of multi-cellular organisms and disease progression.

The course encompasses foundational material for the study of Molecular and Cellular Biology. It will be one of three core courses required for the MCB major. The focus will be on the fundamental concepts governing the interaction of biological macromolecules required for the central dogma of molecular biology: DNA > RNA > protein.

This one-semester introductory course covers key principles of molecular and cellular biology, with an emphasis on contemporary quantitative approaches such as systems biology and genomic analysis. Discussions will explore readings in current scientific literature.

This course is designed to help intermediate students understand the biology of cancer. The course will cover the disease of cancer from the aspects of molecular and cellular biology, as well as experimental models of cancer and drug development. Honors section available.

Biotechnology is the use of biological systems to transform raw materials into useful products. Humans have been practicing biotechnology for much longer than the term 'biotechnology' has been around, using yeasts to make alcohol from fruits and grains, for example.

Survey of the fundamental concepts of plant physiology and how those concepts are supported by evidence from physiological, biochemical, biophysical, molecular and genomic experiments. The emphasis is on \"whole plant\"" physiology and how plants work in the real world."

Laboratory exercises in plant physiology.

Overview of common marketing research techniques and their usage in making effective marketing decisions; topics include collection and analysis of data, interpretation and reporting of results.

Overview of how fundamental concepts, principles and theories from psychology, sociology, anthropology can be used to understand why customers purchase products, the decision processes they use, and the social influences upon them.

The theory and practice of advertising with an emphasis on methods used by advertising professionals to enhance informational and persuasive communication.

The role of personal selling techniques, customer relationships, and negotiation in organizations; the application of personal selling skills in sales occupations, business interactions and personal development.

Overview of various topics in digital marketing communications to include public relations, direct marketing, collateral materials, event marketing, and guerilla marketing techniques.

Integration of the knowledge and skills from the required marketing and business courses; the creation of a marketing plan is the primary learning activity in this course.

This course is designed to introduce students to the challenges and opportunities associated with developing innovations in an entrepreneurial environment. The course will cover the basic theories and practices of innovation and entrepreneurship in the retailing industry.

Marketing concepts and strategies unique to organizations in the sports industry; focus will be on the management of various marketing activities and creation of marketing plans for sports teams.

Role of marketing in the economy and in business and nonprofit organizations; environmental factors affecting marketing; nature of marketing management decisions.

Quantitative and analytical skills related to marketing; includes use of statistical packages and analysis with common marketing and financial metrics.

MSE 109 introduces students to the central principles of materials science and materials chemistry. The course covers the foundations of solid state chemistry with a focus on engineering applications. The course is designed to provide students with a direct connection to real life problematics in a wide range of engineering applications.

Fundamental principles of the chemistry of condensed states of matter including metals, polymers, molecular solids and ceramics.

3-D Printing (also known as Additive Manufacturing (AM)) involves the direct conversion of 3-D computer aided designs into physical objects with applications impacting such fields as aerospace, architecture, microelectronics, medicine, and space exploration.

Introduction to the structure of materials and how structure influences properties. Elementary crystallography, crystal chemistry, and microstructure effects are covered. Examples are taken from all classes of materials: metals, semiconductors, ceramics, polymers, glasses, and composites.

If historical trends continue, by the end of this century the world's population will have nearly doubled, and the demand for energy will have quadrupled.

All human communities consume, produce, recycle, and discard our planet's raw materials. Today's world depends on and interacts with earth materials (minerals, renewable resources, water) in complex ways, through choices, whether explicit or implicit.

You will learn to blow and form glass vessels and objects in the lab, and in lecture we will investigate the structure, composition, coloring and technological history of glass. You will practice some of the off-hand furnace glassblowing techniques that have been practiced for the last 2000 years.

Laboratory exercises involving the materials science of art and archaeological objects.

This course provides an introduction to scientific and engineering computing for studying the structure-property-processing relations of materials. Using MATLAB as the primary programming language, electronic, phononic, thermodynamic and transport properties of solid-state materials will be modeled.

The chemistry of materials, reactions, and unit operations in semiconductor manufacturing.

The chemistry of materials, reactions, and unit operations in semiconductor manufacturing II.

The chemistry of defect formation, adhesion, and prevention in semiconductor manufacturing.

Fundamental concepts and techniques of fluid mechanics, electromagnetism, and thermodynamics required to understand the environment of non-thermal, low-temperature, and equilibrium plasmas used in semiconductor manufacturing. Plasma chemistry and surface processes that occur during both plasma depostition and etching.

This course examines the fundamental reliability mechanisms of concern for CMOS silicon devices as well as the intrinsic and extrinsic reliability mechanisms. Case studies will be reviewed to demonstrate how to utilize this knowledge to design experiments and to formulate accurate risk assessments.

Introduction to the manufacturing of engineering materials and how structure influences processing types and parameters. Heat treating, cold-working, hot-working, machining, welding, casting, forming, and forging. Examples are taken from all material classes with an emphasis on metals, glass, ceramics, and semiconductors.

Introduction to the laws of thermodynamics, entropy, free energy, and the concept of equilibrium as applied to materials for conventional and advanced technological applications.

Introductory solid-state theory for describing thermal, electrical, optical and magnetic properties of materials.

This course covers the fundamental principles of elasticity, plasticity and fracture mechanics in order to develop an understanding of the response of metals, ceramics, glasses, polymers and composites to external mechanical forces.

Introductory Physics, without calculus, for liberal arts students and biological science majors. Students needing a laboratory should register for Physics 181.

Introductory Physics, without calculus, for liberal arts students and biological science majors. Students needing a laboratory should register for Physics 182.

This course is introductory physics, without calculus, for liberal arts students and biological science majors. It is taught in a studio style with an integrated laboratory component.

This course is the second semester of introductory physics, without calculus, for liberal arts students and biological science majors. It is taught in a studio style with an integrated laboratory component.

Physics 139 is an introductory calculus-based physics laboratory course designed to teach students fundamental concepts of physics by performing actual experiments. The students will get hand-on experience using various equipment to collect the data that they need for their experiments.

An introductory course in calculus-based Newtonian mechanics; introduces freshman-level students to the statics and dynamics of point particles, rigid bodies, and fluids.

A first course in Newtonian mechanics; introduces freshman-level students to the statics and dynamics of point particles, rigid bodies, and fluids.

A freshman-level course in the fundamental properties of light and heat and related applications such as optical instruments and heat engines; introduces students to the propagation of light and heat.

Temperature scales, heat, thermodynamics, heat engines and kinetic theory; geometrical optics, lenses, mirrors and optical instruments; physical optics, diffraction, interference and wave theory.

Quantitative experiments in physics, both illustrative and exploratory. Designed to accompany 102 or 131; sections are established corresponding to each course.

Quantitative experiments in physics, both illustrative and exploratory. Designed to accompany 103 or 132; sections are established corresponding to each course.

This course shows students how to cook well using scientific observation, experiment and hypothesis testing. Lectures introduce the conceptual science behind kitchen technology and the cooking process, including heat transfer, phase changes, and material properties of foods.

Mathematical techniques used in upper division physics courses. Complex numbers, Taylor series, coordinate systems, elementary probability, Fourier series, Linear algebra, vector operators, partial differential equations.

Physics 239 is an introductory calculus-based physics laboratory course designed to teach students fundamental concepts of physics by performing actual experiments. The students will get hand-on experience using various equipment to collect the data that they need for their experiments.

An introductory calculus-based course in electromagnetic fields and their applications. Topics include: Coulomb's and Gauss' Law, electric fields and potentials, electrical and magnetic properties of matter, Ampere's and Faraday's laws, elementary DC and AC circuits, Maxwell's equations and electromagnetic waves.

A first course in electromagnetic fields and their applications. Coulomb's and Gauss' Law, electric fields and potentials, electrical and magnetic properties of matter, Ampere's and Faraday's laws, elementary DC and AC circuits, Maxwell's equations.

A first course in relativistic and quantum concepts developed in the 20th century. Lorentz transformation, relativistic kinematics, basic relativistic dynamics, quantization of energy and angular momentum, atomic and molecular structure, nuclear and elementary particle physics, quantum statistics.

Introduction to numerical techniques for solving physics problems. Introduction to a high-level programming language, numerical integration, finding roots, ordinary differential equations, least squares fitting. This course is a prerequisite for the following courses: PHYS332, PHYS426, PHYS472.

A study of electromagnetic waves in their generation, propagation and superposition that lead to the understanding of ray optics, polarization, interference, diffraction, and coherence, geometrical optics, and to the applications in optical instruments, including lasers, fiber optics, imaging techniques, dispersion and holography.

A mid-level course in classical mechanics using Newtonian, Lagrangian and Hamiltonian formulations. Motions studied include: simple, damped and forced harmonic oscillators, conservation laws and collisions, central forces, gravitation and planetary orbits, rotation of rigid bodies. Non-inertial reference frames are examined.

The study of static electric and magnetic fields separately in vacuum and in matter leads to Maxwell's equations, which relate electric and magnetic fields when time-dependence sets in. Vector calculus in curvilinear coordinates is an indispensable tool throughout the course.

The second half of a course in electricity and magnetism. Topics cover electrodynamics, conservation laws, electromagnetic waves, potentials and fields, and continuous media. Maxwell's equations in differential form are applied to dynamic systems, especially, radiation.

A mid-level course starts with Schrödinger's equation and waves applied to one particle in one-dimensional potential wells and ends with the hydrogen atom in three dimensions. Partial differential equation and linear algebra are basic tools.

Designed to develop experimental skills and to demonstrate important concepts in classical and modern physics by measuring fundamental physical constants, as well as the importance of error estimation and propagation.

Survey of planetary physics, planetary motions, planetary interiors, geophysics, planetary atmospheres, asteroids, comets, origin of the solar system.

Electronics techniques used in experimental physics. Emphasizes computer aided schematic capture and simulation. Topics include diodes and transistors, op-amps, D/A and A/D conversion, combinatorial logic, sequential logic, programmable logic.

A second semester of Newtonian mechanics. It begins with the description, statics and dynamics of deformable solids, and proceeds to the mechanics of fluids.

A study of the energetics and the relations among bulk properties of macroscopic systems in terms of the energies available to the individual microscopic constituents. Classical and quantum statistics are applied to systems in thermal equilibrium to derive their bulk properties.

A survey of basic biological processes and the advanced physical techniques to study these processes, primarily at the single-molecule scale.

Applications of physics in medicine. Physics of the human body, mechanics, thermodynamics, light and radiation and their roles in biological systems, biomedical applications.

An introduction to the study of the nucleus and elementary particles.

Modern theory of crystalline solids.

An introduction to Einstein's theory of General Relativity for seniors or beginning graduate students.

Continuation of PHYS371. Topics include matrix formulation of quantum mechanics, theory of angular momentum, spin, addition of angular momenta, variational methods, the periodic table, molecules, stationary state perturbation theory, fine structure, of hydrogen, time dependent perturbation theory, transition rates, Fermi's golden rule.

Experimental techniques to generate, analyze and detect photons from X-ray to infrared; interpretation of spectra from gases, liquids, solids and biological macromolecules; light scattering, polarization.

Mathematical techniques and their physical applications. Topics include partial differential equations, complex variables, Fourier analysis, calculus of variations, tensors and tensor calculus, special functions. Additional topics may include numerical analysis, group theory and probability or stochastic systems.

Basic theory and interpretation of nuclear magnetic resonance (NMR) methods from a multidisciplinary perspective. The course covers experimental NMR methods; nuclear spin interactions; relaxation and dynamics; solid state NMR; liquid state NMR; and magnetic resonance imaging (MRI).

This course covers Microsoft Office 365 and more. Its major objective is to give students the learning experience developing skills in cyber competencies they need to enhance productivity in their tenure at the university and in the workplace after graduation.e., hardware and software, different apps, and the Windows operating system.

Many toxic compounds exist in nature. These toxins are produced by living organisms, yet the toxins are often not harmful to the organisms themselves, but they may be toxic to other creatures, including humans, when consumed, or encountered. These toxic compounds have diverse biological functions and toxicity.

This course is an introduction to hydroponics--the future of sustainable food production! Learn how to grow plants with less water, fertilizer, and pesticides! This course covers the principles of hydroponics, including systems, substrates, and nutrient solutions.

This course aims to introduce students to science-based principles and practices that pertain to the cultivation and management of ornamental and edible plants in urban landscapes and gardens.

This course deals with plant form and function from an evolutionary point of view and is intended for majors in all fields of biology. Emphasis is placed on understanding basic processes of metabolism, evolution, reproduction, growth, development, and physiology of nonvascular and vascular plants.

In this course, students will learn about the origins of agriculture and crops, be introduced to the scientific concepts of plant biology and genomics, and understand how this knowledge has created modern industrial agriculture and engineered crops.

[Taught alternate years beginning 2000] Course will address specialized cultural management practices and relevant construction principles for golf course and sports turf fields. Students will develop organizational strategies used for maintenance of the above areas.

This course will cover applied aspects of weed management in the low deserts of Arizona. The focus will be on chemical and non-chemical techniques used in the production of field and vegetable crops. Weed identification and classification will be covered. Field projects will be conducted.

This course will provide an academic foundation on the botanical, ethnobotanical, evolutionary, and scientific aspects of Cannabis. A historical perspective since antiquity on the genus Cannabis and the current sociocultural status of the species, will be reviewed.

Humans cultivate trees for many purposes including beauty, shade, wildlife habitat, and food. This course introduces students to the field of arboriculture, which is the study, cultivation, and management of trees and other perennial woody plants.

An examination of the fundamental aspects of plant science as applied to crop production. Laboratory exercises will be field-oriented and will involve several field trips.

In this course, students will learn to apply the perspective of the plant scientist to questions about the deep origins and domestication of modern crop plants. This active field of research offers us the opportunity to work with quantitative information in a variety of ways, such as creating and interpreting data sets and graphs.

A survey of the Agave, Cacti, and other succulents of southern Arizona both native and common landscaping plants. The course will include the natural history, identification, and physiology as well as the practices for propagation and common uses.

Foundational transmission and molecular genetics of animal and plant systems, with a focus on problem-solving.

Plant propagation integrates art with science by applying principles of plant biology and cultural practices to create and multiply plants using seeds, cuttings, grafting, budding and tissue culture systems. This course provides a comprehensive presentation of principles, techniques and systems used in plant propagation and culture.

This course will be offered every other year in the fall semester. The course will provide a general introduction to the field of Virology, inclusive of bacterial, animal, and plant viruses.

Biotechnology is the use of biological systems to transform raw materials into useful products. Humans have been practicing biotechnology for much longer than the term 'biotechnology' has been around, using yeasts to make alcohol from fruits and grains, for example.

Species adaptability, growth and development, establishment and cultural practices affecting use.

A consideration of the molecular-genetic and cellular biology of growth and development in plants and their response to biotic and abiotic stresses, with a primary focus on processes unique to plants. Experimental approaches will be emphasized.

Whether you will work with plants as a physiologist, pathologist, ecologist, agronomist, horticulturist, or molecular biologist, you will need to know how a plant is constructed, how it grows, and how it functions. Depending on the need and your interests, you may work at the subcellular, cellular, tissue, organ, or whole plant level.

Survey of the fundamental concepts of plant physiology and how those concepts are supported by evidence from physiological, biochemical, biophysical, molecular and genomic experiments. The emphasis is on \"whole plant\"" physiology and how plants work in the real world."

Laboratory exercises in plant physiology.

This course introduces students to the practice of identifying plants through observing differences in morphology among plant characteristics. The skills are used to review the common wildland plants across North America. These combined skills, plant identification and knowledge of common plants, are sought-after skills by employers.

Survey of psychology including history, systems, and methods; structure and functions of the nervous and endocrine systems; learning; motivation and emotion; perception; memory; thought and language; personality; development; social cognition and behavior; psychopathology and psychotherapy.

An examination of human psychological and behavioral development across the lifespan with a focus on how the processes of evolution have influenced individual development.

Fundamentals of linguistics; phonetics, phonology, morphology, syntax, semantics and language acquisition; provides basis for further study in the field.

Analysis of gender differences and their source in biology and culture.

Students will explore and better understand the bases of thinking. They will become aware of how to detect and avoid decision manipulation traps. They will become more aware of understand the brains correlation between cognition and decision-making. Students will gain understanding on the evolution of cognition.

Does sleep improve memory? Does having friends improve mental health? These questions can be examined through controlled scientific experiments. This course will teach students the methods of statistics that are used for exploring data collected in experiments and for evaluating scientific hypotheses.

This course is a survey of research and theory in child development. We will examine age-related changes in the social, emotional, cognitive, and linguistic domains from infancy to adolescence.

Introduction to theory and research on the psychology of love and spirituality, with applications to mental, physical, and spiritual health.

Psychological theories, research, and intervention strategies relevant to performing in life settings as diverse as academics, career, athletics, performing arts, and interpersonal relations.

Interdisciplinary consideration of the origins, definitions, operations, theories, and trajectories of law and legal systems in contemporary society. Excellent preparation for upper-division courses on law and law related topics in the social and behavioral sciences or public administration.

This course is, in essence, a user guide to your brain. Major topics will include sensation and perception, motor control, attention, learning and memory, language, executive functions, and social cognition. Cognitive neuroscience is one of the most fascinating and active fields of research today.

Survey of the basic principles of nervous system function in relation to perception, learning, memory, emotion, and thinking.

Introduces students to basic mechanisms of behavioral evolution. Emphasis is on adaptive problems and how humans of various ages, sexes, and development stages solve them.

The coordinated activities of the 80-billion neurons in our brain produce our thoughts, memories, perceptions, and actions. These interactions generate waves of electrical activity, and this activity can be measured from electrodes placed on the scalp or deep within the brain.

Survey of psychological research on non-human primates; includes sensory processes, learning, development, social and abnormal behaviors.

Humans have used mind-altering drugs for thousands of years. These mind altering drugs come in many forms, ranging from common drugs such as caffeine, Adderall, and alcohol, to illicit drugs such as LSD and heroin.

Humans and animals easily adapt to changes in their world through learning. The focus of this course is to learn science based principles of learning and how to apply them to to training pets, raising children, improving relationships, improving study skills, behavior therapy and more.

There is growing interest in studying how the injured central nervous system reorganizes due to brain rehabilitation. Students will learn about brain rehabilitation protocols for different populations. Grades are based on quizzes, leading class discussion, participation in class discussions, literature review, and final presentation.

This course is an introduction to the scientific study of aging. In it, students will learn about the intricacies of aging from a biological, psychological, and sociological perspective and will consider the social impact of increasingly older population demographics throughout the United States and the World.

Introduction to the experimental analysis of the information processing systems underlying human cognition, language and memory.

Introduction to scientific study of human memory including structures and processes, memory failures, acquisition and retention of knowledge, memory development, and memory disorders.

Introduction to research concerning how we perceive the external world through our senses of vision, audition, smell, taste and touch, with an emphasis on vision.

Examines the effects of experience on perceptual processing. Topics include spatial adaptation, after effects of ventriloquism, perceptual discrimination learning, generalization, growth, and comparison to other learning processes. This is a Writing Emphasis Course.

This course will serve as an introduction to empirical and theoretical research on the psychology of judgment, choice, and decision-making. The primary goal of this course is to teach students about the research methods that are used to study judgment and decision making processes, and the findings of scientific research on this topic.

Explore the intricate interplay between psychology and exemplary performances, delving into theories, practical applications, and career pathways through dynamic lectures, collaborative behavioral consulting experiences, and inspiring guest speaker sessions.

Ever wonder why you believe what you believe? Ever been puzzled as to why other people believe such outrageous things? Spirituality, Psychology, and Mind (SPM) investigates the nature of beliefs and practices from a multidisciplinary perspective. SPM will not try to prove or disprove any religious, spiritual, agnostic, or atheist claims.

In this course you will learn how young children learn to think, starting in infancy and extending into early and middle childhood, along with theories and experimental methods used to study cognitive development.

Introduction to theory and research on language development, with emphasis on word learning and grammatical development.

This course focuses on dementias and other conditions that commonly compromise cognition and memory in older adults, how these disorders impact daily functioning, and the warning signs that an individual may need additional care.

This course is to serve as an introduction to the relation between brain and behavior during normal and abnormal child development.

This lecture course will provide a broad overview of how sleep/wake rhythms factor into everyday cycles of behavior and physiology, underpinned by the larger solar and weather cycles that prevail in terrestrial, coastal, and oceanic environments.

Basic concepts and issues in personality theory and research; approaches to personality description and assessment.

Examines the psychology of religion and spirituality, addressing theory, research and applications to health, virtue, and love. Integrates empirical science and personal experience; features how psychology enriches our understanding of religion and spirituality, and how religion and spirituality enriches our understanding of psychology.

Introduction to theory and research on both normal and altered states of consciousness, from a natural science and cognitive psychology viewpoint. Topics reviewed include philosophical foundations, brain systems and consciousness, introspection, sleep and dreaming, hypnosis, meditation, and psychedelic drugs.

Introduction to the major theories and research findings of social psychology. Specific topics covered in the class include the self, social cognition, attitudes, interpersonal relations, group processes, prejudice, and aggression.

Social-psychological and developmental aspects of human sexuality. Examples of topics include: courtship, pregnancy and delivery, sexual health, and sex education.

A study of cultural differences in perception, motivation, expression, verbal and non-verbal behavior, and values and meaning systems, and the implications of these differences for cultural interaction and understanding of current research.

In this course, students will examine conceptions of healthy aging within the United States and cross-culturally. Students will explore how social factors like changing relationships and changing self-concept contribute to aspects of aging.

This course is intended to be an introduction to the scientific study of the psychology of terrorism.

Basic concepts in environmental psychology; the relationship between the individual and the large-scale environment.

Application of the principles of psychology to industrial and social organizations, including personnel, human factors, organizational and consumer psychology.

This course provides basic training in the optimal design of the user interface to human-machine systems, particularly human-computer systems. This course will also provide the student with an understanding of User Interface Design as an important career opportunity within Psychology.

This course will address general intersections of various areas of psychology and law. In particular, lessons from developmental, social, clinical, and cognitive psychology will be applied to important substantive issues in criminal law and criminal defenses. As such, alternative forms of antisocial behavior (e.g.g.

Divorce and permanent relationship separations directly and indirectly, through family and friends, affect the majority of people in society. Finally, the legal processes involved will also be explored.

This course will serve as a broad introduction to the topic of child maltreatment from a psychological perspective. The course will examine the history of child maltreatment in the United States as well as the numerous roles that professionals play in the prevention, investigation, and treatment of maltreatment.

Abnormal psychology is a branch of psychology that empirically studies abnormalities in cognition, emotion, and behavior. This course is intended to provide a broad overview of mental illness, with a special emphasis on the classification of mental illness by the Diagnostic and Statistical Manual 5 (DSM-5).

Despite the general improvement in national health, racial/ethnic health disparities remain a growing challenge in the United States. These disparities are caused by a combination of individual, genetic, and social/environmental risk factors (Olden & White, 2005).

The main aim of Health Psychology is to introduce students to the broad theories, terminology, and substantive research findings of the field through consideration of the psychological influences on illness and wellness, as well as the effects of physical health on psychosocial functioning.

Positive Psychology is the scientific study of the kinds of things that lead to well-being, resilience, and happiness. We will also consider how well-being is measured and assessed, from questionnaires and self-reflection to physiological tests.

This course will serve as a broad introduction to the many ethical issues present in the care of older adults. We will examine the topic from a psychological perspective, raising questions about autonomy, rights, obligations, and standards of care.

This course, designed for upper-level undergraduates, covers the basic concepts of caregiving for older adults. The emphasis is on self-care and stress management for older adults, professional caregivers, and family caregivers. Specific self-care techniques and real-world experiences will be shared throughout the course.

The purpose of this course is to provide undergraduates who wish to pursue graduate studies in academic psychology with a thorough grounding in research methods. This course focuses on the students' ability to conduct scientific research rather than on their ability to understand and evaluate research produced by others.

This course prepares students to become peer leaders as they advocate for the use of research-based study strategies that foster learning. The course involves learning how the strategies work, implementing activities and discussions about the strategies with peer groups, and reporting on the outcomes of the peer coaching activities.

Students will explore the core focus areas of Industrial Engineering (IE), including design and manufacturing, operations research, engineering economic analysis, control of production systems and logistics, ergonomics and human factors, and engineering management.

This course introduces students to the discipline of systems engineering.

Fundamentals of economic analysis and the time value of money for engineers. Construction of financial models in EXCEL including Income, Cash Flow, and Balance Sheet. Estimation of required capital and project acceptance criteria.

Basics of data structures, transformations, computer methods, their implementation in MATLAB, and their applications in solving engineering problems.

Modeling and design of complex systems using all views of the Unified Modeling Language (UML). Most effort will be in the problem domain (defining the problem). Some effort will be in the solution domain (producing hardware or software).

Axioms of probability, discrete and continuous distributions, sampling distributions. Engineering applications of statistical estimation, hypothesis testing, confidence intervals.

Probability, Markov chains, Poisson processes, queuing models, reliability models.

Linear programming models, solution techniques, sensitivity analysis and duality.

Strategic, tactical and operational planning; innovation and technological cycles; the elements of entrepreneurship, and human relations topics for technical managers.

Boolean algebra, combinational and sequential logic circuits, finite state machines, simple computer architecture, assembly language programming, and real-time computer control. The computer is used as an example of systems engineering design; it is analyzed as a system, not as a collection of components.

Rapid prototyping of decision support systems using Visual Basic for Applications (VBA) and Excel. Use of VBA, Excel, and external packages to solve optimization problems, to perform simulations, and to perform forecasting.

Introduction to the integrated manufacturing enterprise and automation. Topics include computer-aided design, process planning, computer numerical control machining, machine vision, application of robots and automation.

This course will encourage students to think critically about how society shapes and constrains human behavior through the lens of a social scientist. As a field, sociology focuses on the systematic understanding of social interaction, social organization, social institutions, and social change.

This course examines how artificial intelligence (AI), especially large language models and generative AI, is reshaping social life. Students gain insight into how AI systems work and use this knowledge to analyze inequality, surveillance, and governance.

Basic concepts of population studies; analysis of social trends, problems and solutions in relation to environmental factors, with reference to both advanced and developing nations.

Why are some people healthier than others? Biology and medicine tell us that some people are biologically or genetically predisposed to be more or less healthy. Psychology tells us that some personality traits are healthier than others. This course connects different perspectives on health.

This course explores how the process of aging through a sociological lens. We will examine a variety of gerontological theories, with a focus toward life course and critical perspectives. This course will require students to think critically about social forces that shape the aging experience and individual health outcomes.

Introductory survey of the literature, history, culture and social issues affecting Black Americans.

This course will provide a general survey of significant issues in the health, human services and public management fields. Secondary emphasis will be placed on how policy is made and implemented in the three subject areas. The use of and interpretation of data and practical examples will be stressed.

The sociological study of how gender identities form and influence interactions in friendships, intimate relations, families, education, and other institutions.

The sociological study of the relations between individuals and society, including the formation of self and identity, interactions in groups, and the reciprocity between individuals and the social structure.

This course is designed as a general survey of the criminal justice system in the United States. We begin with a general discussion of the goals, historical development, and transformation of the justice system over time.

Analysis of minority relations and mass movements in urban society; trends in the modern world, with special reference to present-day race problems and social conflict.

The course explores how social factors produce variation in school practices; and how variation in school practices affect student outcomes.

Critical review of the works of leading sociologists.

This course explores relevant sociological literature and empirical research on sports as social and cultural phenomena. This class will survey issues on participation in sports, the meaning of sports, and social inequality.

Organization of health care in the U.S.; its impact on patients and society; health care practitioners; medical industries; policy debates.

This class explores inequality in sports based on race, class and gender. Key topics include Title IX, sexuality, and sports inequality race/ethnic relations, social mobility, accessibility and social change.

This course will examine the relationship between society and the environment, including the social roots and societal impacts of environmental issues, as well as efforts to address those issues.

Cultural and psychological dimensions of human development and human behavior.

Study of riots, panics, crazes, reform and revolutionary movements; their origins, social bases, careers and consequences.

This course examines nonprofit organization and philanthropic behavior from a sociological perspective. Topics include the motivations for, and consequences of, volunteer work and charitable giving as well as the role of nonprofit organizations in markets, political arenas and civil society.

Current competing theories of socio-political institutions.

This course will examine youth socialization, peer influence, parents, and families; community institutions, youth bodies, and deviant behavior associated with childhood and youth sport involvement.

The place of popular culture in mass society; literature, film, popular music, and the life of the mind in general.

On the surface, music can appear to be a \"secondary\"" non-consequential element of life and/or an individualized phenomenon. In fact

The goal of this course is to investigate women's representation in the professions. Women make up half the population and have earned more than half of all undergraduate degrees in the U.S. since the early 1980s; yet women constitute only 17% of the U.S. For women of color, these numbers are considerably lower.

Analysis of families and their characteristics in various social and historical settings.

Religion as a social institution with special reference to industrial societies.

This course provides an overview and introduction to the sociology view of \"generations.\"" There are many different views of what a generation is-including biological

The social construction and historical emergence of gender and sexual identities, attitudes, norms, and behaviors. Impact of individual and community sexual attitudes and behaviors on other sociological and psychological functioning.

This course is meant to be an in-depth examination of men's lives and an exploration of sociological perspectives on masculinity.

Survey of the changing nature of work in America, with emphasis on labor relations, unionization, and workplace discrimination.

Today's multicultural religious imagination is analyzed and explored by subjecting movies to sociological analysis.

Study of processes that form, maintain, and dissolve groups, including their objectives, cohesion, norms, role leadership and power structures, communication patterns, interpersonal relations, problem solving, and effectiveness.

This course focuses on civic leadership in the context of social movements, with special attention on non-profit and informal grassroots contexts. Students will learn how leadership emerges and how it evolves. They will also learn how community leaders face opposition from powerful interests in society.

The objective of this class is to enhance students' understanding of what makes leaders effective in organizational settings.

This course examines guns from historical, criminological, political, legal, sociological and cultural perspectives. Grounded in the American context, the course focuses on the relationship between gun rights and gun rules; between crime and self-defense; and between the past and present politics of guns.

Policing is a complex, multifaceted social phenomenon: it is at once a rarefied social institution (i.e., public law enforcement); a billion dollar industry (e.g., the private policing & private security industries); a social sorting mechanism (e.g.g., surveillance).

Nature, causes, and consequences of delinquent behavior.

Study of the social origins of criminal law, criminal behavior, and reactions to crime.

Study of rights, justice and law as social institutions with special reference to legal and social change.

This course examines the influence of globalization on sports. Topics include: Nationalism, international relations, sports institutions, politics and ideology.

A history of crime in America from early Virginia through the present, with emphasis on violent crime, regional differences in crime, chronological changes, and causes of the same.

This course examines the relationships between human health and the environment from a sociological viewpoint. Using an interdisciplinary sociological perspective, we will explore the increasing number of illnesses linked to environmental contamination and disasters.

Migration is a phenomenon of central interest and an important area of study in the social sciences. It has also become a fiercely debated politic topic in the United States and across the globe. We will then analyze key debates about the consequences of migration for sending countries and receiving countries alike.

However elusive the state of happiness may be for most people, happiness remains a fundamental goal in American society.

This course will pursue a critical, sociological account of punishment that links its power and practice with broader social and historical factors. By doing so, we will explore the effects, meanings, and realities structured by punishment as a social institution. Special focus will be given to carceral punishments in the U.S.

This course examines power relations and cultural ideologies in sports, leisure and exercise. Students will explore individual and collective identities, the cultural meaning of sports, issues of violence, risk, reward and the role of the media.

In this course, students explore the characteristics, geographic distribution, and growth/decline of population at local, regional, national, and global scales. Specific emphasis is placed on demographic processes and contemporary population issues throughout the world through the lens of social/racial justice, diversity and equity.

Problems of conceptualization and measurement of social phenomena; design of research projects; techniques of data collection and analysis.

Techniques of statistical description and elementary statistical inference as applied to sociological data.

Analysis of how different waves of globalization from 1500 to the present have affected the economic and political development of Latin America.