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PSU Curricular Changes - Effective for AY 2026-2027
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This list submitted to OrACRAO on: 7/1/2026
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PSU Curricular Change Cycle: Annual
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PSU annual submission date: July of each year
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Name & contact info of person updating this template: Andreen Morris andreen@pdx.edu 503-725-4596
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Effective
Term		TypePrefixCourse#Course TitleCreditsCourse DescriptionType of Change (for modified classes only)
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Fall 2026MACTG335Accounting Information Systems and Analytic Fundamentals4Methodology used in information systems to: 1) collect, store, and extract accounting data; and 2) analyze, visualize, and communicate accounting information. Development of the accounting techniques used in the handling of large amounts of information, special journals and controlling accounts, computerized processing of data, and computerized tools for analysis and visualization. Discussion of the challenges to effective accounting information system design in a variety of organizational settings. Prerequisite: BA 213Z, BA 325 or BA 350 or BA 336U.Prerequisite
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Fall 2026MACTG513Managerial Accounting and Control4The course covers managerial accounting and control issues, and focuses on the identification and use of accounting information as well as other information from within the organization.Prerequisite
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Fall 2026NAI112Generative AI Studio4An introduction to the reliable, secure, and ethical use of Generative Artificial Intelligence (AI). Students will leverage Generative AI to automate content creation, content consumption, application generation and task execution. Students will learn strategies for prompting models, techniques for providing context to them, security and privacy issues that are associated with them, and the construction of applications powered by them. Students will leverage AI services to build context-aware conversational chatbots, web applications, learning assistants, and workflow automation agents.
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Fall 2026NAI121AI and Literature4Technology always enables new forms of creative writing. The alphabet, papyrus, printing, typewriters, computers and digital networks all sparked new ways to tell and read stories. Artificial Intelligence extends human storytelling and story analysis into terrain humans couldn’t previously reach, finding patterns in datasets too large for humans to process. This class trains students in pre-AI storytelling tech, AI as a cultural technology, and AI-empowered storytelling.
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Fall 2026NAI122AI and the Humanities4Explores the intersection of artificial intelligence (AI) and the humanities, examining how AI influences and is influenced by cultural, ethical, and societal considerations. Students will engage with applications of AI in areas such as literature, history, ethics, and the arts, while critically analyzing its broader implications for society and human values. Through interdisciplinary discussions and hands-on projects, the course will equip students with the tools to evaluate and leverage AI for socially responsible and culturally aware innovations.
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Fall 2026NAI141Foundations: Computing Systems4Introduces students to how computers work and how those ideas lead to modern artificial intelligence (AI) and machine learning (ML) systems. Students will learn how computers are organized, how data is represented, how programs run, how the memory hierarchy works, how computers implement concurrency and parallelism, and why AI systems use special hardware like GPUs.
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Fall 2026NAI142Foundations: Computation4Explores concepts from linear algebra, mathematical functions, and propositional logic, emphasizing their role in modeling and reasoning within artificial intelligence. Students will explore functions and their relationships, recursion and sequences, and develop an introductory understanding of the relative time complexity of these concepts. They will apply core linear algebra concepts such as solving systems of linear equations, performing vector operations, and exploring vector space properties, to model and analyze problems relevant to AI. Prerequisite: Mth 251Z, Mth 261, and Stat 243Z.
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Fall 2026NAI241Introduction to Artificial Intelligence4Introduces students to the foundational concepts of Artificial Intelligence (AI), with an emphasis on practical application. Students will learn core ideas from data science and machine learning, and explore a range of real-world AI use cases—from predictive modeling and computer vision to responsible AI practices. Through hands-on, collaborative projects, the course focuses on building practical skills for solving problems and creating AI-driven solutions. Prerequisite: AI 141, AI 142, CS 161.
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Fall 2026NAI272Intermediate Programming and Software Development4Builds on CS 161 to develop intermediate Python and software development skills for the AI major and AI 273. Students strengthen problem-solving abilities through intermediate programming techniques and develop software development habits (incremental development, debugging, testing, documentation, code readability). Topics include multi-file programs using modules/packages, file I/O, dictionaries/sets/tuples, classes/objects, iterables/comprehensions, recursion, foundational abstract data types (stacks and queues), keyword arguments, and Python type hints. Prerequisite: CS 161.
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Fall 2026NAI273Advanced Programming: Data Structures and Workflow4Application of core data structures and development concepts to the construction of a basic data pipeline. Students will explore strategies for collecting data from diverse sources, including APIs and external files, and acquire the foundational skills needed to move, store, and manage data within Python programs. The course also introduces data analysis techniques and visualization methods, enabling students to transform their data into actionable insights within their pipelines. Prerequisite: AI 272.
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Fall 2026MARH329UIslamic Art: Major Trends4Major themes in Islamic Art and/or Architectural History. May be taught as a broad chronological survey or it may focus on a major period or topic (such as Ottoman art and/or architecture), considered in the global context. Expected preparation: ArH 204 (expected of art and art history majors). Open to non-majors. This course may be repeated for up to 12 credits with different topics.Course number changed from 329 to 329U
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Fall 2026MART270Printmaking: Relief I4Relief I is an introductory course that focuses on the fundamentals of printmaking. Throughout this course, students will complete three projects that explore various carving and image-making techniques: a one-layer linocut, a multicolor jigsaw block, and a two-layer woodblock print. Each project introduces essential skills, including carving, layering, paper registration, and image development. Students will also investigate graphic languages by researching both historical and contemporary influences, which will help them develop their perspective and understanding of graphic design. Upon completing Relief I, students will have the opportunity to progress to the intermediate course, Relief II. May be repeated twice for credit maximum 8 credits.Title changed from Introduction to Printmaking: Relief, change description, change prerequisite
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Fall 2026DART271Introduction to Printmaking: Eco Etching4
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Fall 2026NART273Printmaking: Screen I4This introductory course focuses on the screen printing process. Students will learn the fundamentals of printing, including image layering, tab and hole punch registration, and stencil-making techniques. Throughout the course, projects will be assigned that gradually build skills in creating detailed images, multicolor layering, and specialized inking techniques. Students will also explore graphic languages by researching historical and contemporary influences, which will help inspire and enhance their perspective and understanding of graphic languages.
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Fall 2026MART370Topics in Printmaking4Offers several special topic courses. Special topic courses aim to provide students with in-depth methods of print media that are often not covered in technique-intensive courses. Topic areas may include RISO and Illustration, Painterly Prints, Book Arts, Expanded Materials, and more. Depending on the specific course, students will learn about and experiment with techniques related to that topic. Course may be repeated for credit if taken with different topics. For more information, please contact the Printmaking Area Head and/or the course instructor. Prerequisite: Art 270 or Art 273.Title changed from Topics in Printmaking Techniques, change description, change prerequisite
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Fall 2026DART371Intermediate Printmaking4
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Fall 2026NART375Printmaking: Lithography I4Students will explore Positive Plate Lithography, a technique for creating various imagery, including photographic, digital, and hand-drawn effects. They will learn lithography techniques such as multi-layer images, graphic or photographic imagery, and appliqué or mounted chine collé. Students will complete projects, selecting their concepts, sizes, and images based on demonstrated techniques. They are expected to produce technically proficient work while researching historical and contemporary graphic influences to enhance their understanding of graphic history. May be repeated for up to 8 credits. Prerequisite: Art 270 or Art 273.
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Fall 2026NART376Printmaking: Lithography II4Students will explore the practice and expression of Stone Lithography. Students will learn lithography techniques such as developing multi-layer images, using drawing techniques that resemble the effect of charcoal drawings. Projects will be assigned, allowing artists to select the concepts, sizes, and images for their work based on the demonstrated techniques. Students are expected to produce technically proficient images while researching historical and contemporary graphic influences to deepen their understanding of graphic design in Lithography. May be repeated for up to 8 credits. Prerequisite: Art 270 or Art 273.
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Fall 2026NART377Printmaking: Etching4In this intermediate course, students will learn environmentally conscious methods of etching. Using an electro-etch process combats the need for harsh chemicals while engaging with traditional and non-traditional applications of intaglio. Students will experiment with techniques such as dry point, single and multi-layer images, and aquatint, and learn how to prepare printing plates, ink and pull prints, and troubleshoot issues. The course will also present the history between graphic and visual languages developed through researching historical and contemporary influences. May be repeated for up to 8 credits. Prerequisite: Art 270 or Art 273.
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Fall 2026NART378Printmaking: Screen II4Screen Printing II is an intermediate course that builds on the foundational skills from Screen Printing I. Students will explore intermediate techniques such as complex image layering, color registration, and digital graphics, including photography and graphic languages. The course features projects that allow artists to choose their concepts and sizes, with flexible critique deadlines for refinement. Students are expected to produce technically proficient images while researching historical and contemporary graphic influences. This course may be repeated for up to 12 credits. Prerequisite: Art 273.
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Fall 2026NART379Printmaking: Relief II4Builds on the foundational skills acquired in Relief I. This course will cover intermediate relief techniques, including multi-layer images, graphic or photographic laser cut images, and appliqué or mounted chine collé. Artists will select the concept, size, and images for their projects based on the demonstrated techniques, with flexible critique deadlines to allow for thorough refinement. Students are expected to produce technically proficient images while researching historical and contemporary graphic influences. This course may be repeated for up to 12 credits. Prerequisite: Art 270.
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Fall 2026MART479Printmaking: Advanced4This intensive studio course is designed to provide students with dedicated time and support to develop projects that build upon the skills, techniques, and concepts learned in previous printmaking classes. Emphasizing independent projects, this course offers personalized studio visits with the professor, providing constructive feedback. Each Artist will work on self-directed projects that reflect their individual artistic vision, conceptual interests, and research goals. This course aims to foster a collaborative and focused environment where students can refine their work, push their boundaries, and fully realize their creative perspective. May be repeated for up to 8 credits. Prerequisite: Student must take two of the following 300-level courses: Art 370, Art 375, Art 376, Art 377, Art 377, Art 378, Art 379.Title changed from Advanced Printmaking - Working Place, description changed, prerequisite changed
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Fall 2026MBA300Communication for Career Success2Equips students with the conceptual framework and practical tools for effective communication across a range of business careers. Students will develop an understanding of their personal strengths and weaknesses, and a plan to hone communication skills necessary to succeed in their chosen career path. Subsequent engagement with school of business career services and area-specific career opportunities will be encouraged. Prerequisite: BA 101Z, Comm 111Z.Title changed from Business and Professional Communication, description and prerequisite changed
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Fall 2026MBA301Research and Analysis of Business Problems4Development and use of business tools and techniques as applied to business problems. Students will identify business problems, articulate the issues, research, develop, and evaluate solution alternatives relevant to the problem, and present the results orally and in writing. Students will integrate and reinforce their skills in logical and analytical processing, critical thinking, and communication. Prerequisite: BA 169Z, BA 213Z, Ec 202Z, Stat 241 or Stat 243Z, and BA 300 or BA 205 or concurrent registration in BA 300.Prerequisite
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Fall 2026MBA302Organizational Behavior4Focuses on issues that are relevant to the three levels of organizational behavior (i.e., individual, group, and organizational). Key topics include: the nature and dynamics of teams, personal values and employee job attitudes, communication, conflict resolution, motivation, leadership, decision making, employee effectiveness, and the impact of organizational level issues such as policies, structure, design, and culture. Techniques used to facilitate learning may include role plays, cases, presentations, organizational simulations, teamwork, and/or term research papers. Prerequisite: BA 300 or BA 205 or concurrent registration with BA 300.Prerequisite
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Fall 2026MBA303Business Finance4Development and study of a decision framework for financial management with special emphasis on small- and medium-sized businesses. Topics include analysis of financial health, planning for future financial performance, evaluation of investment opportunities, and analyses of risk. Financing of firm growth and valuation will be introduced. An integration of the concepts of financial management into a total system approach to business decision making will be facilitated with the use of cases, as appropriate. Prerequisite: BA 301 or concurrent registration with BA 301.Prerequisite
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Fall 2026MBA311Marketing Management4Basic marketing concepts from the perspective of the marketing manager. Key focus is to examine the marketing planning and analysis necessary to develop sound marketing plans and strategies. Specific topics include the role of marketing within the firm, analysis of marketing opportunities, selection of target markets and market segmentation, marketing strategies in a global marketplace, use of technology in marketing, and marketing mix decisions. Experiential learning approaches for class participation will be used. Prerequisite: BA 169Z, BA 301 or concurrent registration with BA 301.Prerequisite
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Fall 2026MBA327Data Visualization and Information Systems2Prepares students to work in today’s technology-enabled organizations through two modules: 1) Data Visualization, and 2) Information Systems. The Data Visualization module teaches students to effectively represent business information, including its contents, relationships, and insights. Students engage in hands-on practice and application. The Information Systems module teaches students how information systems support collaborative business process and decision-making. The course emphasizes conceptual understanding; helping students develop informed, managerial perspectives on how organizations use information systems for competitive advantage. Prerequisite: BA 169Z, BA 301 or concurrent registration with BA 301.Title changed from Data Analysis & Visualization, description and prerequisite changed
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Fall 2026MBA339Supply Chain Management4Develops an understanding of the various issues and strategies involved in the operation of a service or manufacturing organization. These considerations include the support by the operation’s organization of corporate strategy through design and operating decisions. Issues such as global supply sources, worldwide business system influences, continuous improvement, and total quality management will be discussed. Prerequisite: BA 301 or concurrent registration with BA 301.Prerequisite
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Fall 2026MBA350Business Analytics4Focuses on addressing business problems by using quantitative models and computer software to analyze data. Through the use of business scenarios, students develop the skills to structure decision making and assess their findings. Using datasets from industry, the course provides students with working knowledge and a broad overview of applications that facilitate analysis. Particular emphasis is placed on the application of quantitative analysis tools to real-world datasets, the ability of students to make managerial recommendations based on these analyses. Prerequisite: BA 169Z, BA 301 concurrent with BA 301.Course subject code changed from BTA, title changed from Business Problem Solving with Analytics and Visualization, description and prerequisite changed
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Fall 2026MBA495Business Strategy6Capstone course for the SBA; should be taken in the student’s final term. This course meets University Studies’ Capstone requirement. Students learn to systematically analyze a real-world problem. Students engage with community partners to formulate and implement business/organization strategies. Students join an interdisciplinary team to: pool their knowledge, skills, and interests; understand diverse management and stakeholder interpretations; and craft integrative solutions. Prerequisite: BA 300 or BA 205; BA 301, BA 302, BA 303, BA 311, BA 325 or BA 350, BA 327, BA 339, and BA 385.Description and prerequisite
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Fall 2026NBA496Business Strategy w/ Data Analytics6Capstone course for the SBA; should be taken in the student’s final term. This course meets University Studies’ Capstone requirement. Students use data analytic techniques to systematically analyze a real-world problem. Students engage with community partners to formulate and implement business/organization strategies. Students join an interdisciplinary team to: pool their knowledge, skills, and interests; understand diverse management and stakeholder interpretations; and craft integrative solutions. Prerequisite: BA 300 or BA 205, BA 301, BA 302, BA 303, BA 311, BA 325 or BA 350, BA 327, BA 339, and BA 385.
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Fall 2026MBA524Leadership Immersion1A business simulation or live case experience designed to assess students’ technical and leadership skills. This course can only be taken as a pass/no pass grading option. Prerequisite: BA 521 and Fin 513 and completion of 32 credits of MBA core classes.Description and prerequisite
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Fall 2026MBA525Capstone Consulting Project1-4Under the direction of a faculty member, students work in teams over two terms to apply MBA knowledge, skills and leadership competencies to an actual organizational problem in a consulting framework. This course requires two consecutive terms to complete. Prerequisite: Mgmt 511, Fin 513, and completion of at least 32 hours of the MBA core sequence..Prerequisite
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Fall 2026MBA550Special Topics in Advanced Leadership1-4Selected topics in Advanced Leadership for Career Advancers. Potential topics include Global Leadership, Executive Dilemmas and Decisionmaking, Leading Corporate Sustainability Initiatives. Course may be repeated for up to 12 credits. Prerequisite: BA 521, GSCM 522 or MGMT 520.Prerequisite
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Fall 2026DBI211Principles of Biology: Biology of Cells4
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Fall 2026DBI212Principles of Biology: The biology of organisms4
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Fall 2026DBI213Principles of Biology: Evolution and ecology of living organisms4
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Fall 2026DBI214Principles of Biology Lab I1
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Fall 2026DBI215Principles of Biology Lab II1
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Fall 2026DBI216Principles of Biology Lab III1
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Fall 2026MBI380Microbiology4Fundamental concepts and techniques of microbiology. The general principles of microbial cell structure and function, physiology and biochemistry, growth, survival, classification, and diversity are emphasized. Prerequisite: Completion of Bi 221Z, Bi 222Z, and Bi 223Z with C- or above in each section. Prerequisites cannot be taken concurrently.Prerequisite
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Fall 2026MBST212Oregon African American History4Examination of the black experience in Oregon history. Topics include the slavery controversy in early Oregon development, contributions of blacks to the growth of the state, black migration during World War II, the Vanport flood, and various legislative actions related to black status in Oregon.Course number changed from BST 412
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Fall 2026NBST222The Black Radical Tradition4The Black radical tradition is a rich body of knowledge arising out of liberation movements that sought to understand and fight enslavement, racism, colonialism, and other forms of oppression. It dates to early slave revolts in Africa and crosses continents and centuries including the Civil Rights Movement and Black Lives Matter. This course provides an essential entry point for first- and second-year students to explore the origins and evolution of the Black radical tradition.
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Fall 2026NBST297Foundations of Black Cinema4Throughout the seventeenth, eighteenth, and nineteenth centuries there evolved a collection of negative racial stereotypes in the United States that were created and attached to the Black race to rationalize and justify patterns of discriminatory racial behavior. In the early 20th century stereotypes were infused into cinematic treatments that were a part of the newly invented cinema industry to the exclusion of a realistic and honest portrayal of the Black experience. Students will examine the history, nature, and impact of these stereotypes on both the cinema industry and U.S. culture.
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Fall 2026MBST396Methods, Methodologies, and Theoretical Approaches in Black and Africana Studies4Introduces students to the process of conducting research using qualitative research methods in the humanities and social sciences. Exploration of research methods including, but not limited to, interviewing, content analysis, archival research, library research, Internet research, and participant-observation. Prerequisites: BSt 202, BSt 203, BSt 204 or BSt 206 and upper-division standing.Title changed from Research Methodologies in Black Studies
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Fall 2026NBST446The Harlem Renaissance4In-depth study of the literature of the Harlem Renaissance in its cultural context. Includes poetry, essays, and fiction by both prominent figures of the Harlem Renaissance and those who have been recently rediscovered. For context, the course might include dance, visual arts, music and/or film. Also offered for graduate-level credit as BSt 546 and may be taken only once for credit. This is the same course as Eng 446 and may be taken only once for credit. Prerequisite: Upper division standing.
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Fall 2026NBST546The Harlem Renaissance4In-depth study of the literature of the Harlem Renaissance in its cultural context. Includes poetry, essays, and fiction by both prominent figures of the Harlem Renaissance and those who have been recently rediscovered. For context, the course might include dance, visual arts, music and/or film. Also offered for undergraduate-level credit as BSt 446 and may be taken only once for credit. This is the same course as Eng 546 and may be taken only once for credit.
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Fall 2026MBSTA512Linear Models4This course focuses on linear models and develops an understanding of regression analysis using simple and multiple linear regression. The course emphasizes theoretical foundations for appropriate interpretation and application of regression models. Model interpretations will include relationships between a continuous outcome and continuous covariates, categorial covariates, and interaction terms between covariates. Through coding, the course builds skills in fitting regression models, interpreting coefficients, making predictions, and diagnosing potential model issues. Also offered as Bsta 612 for doctoral students. Prerequisite: BSTA 511/BSTA 611, PUBH 522, or EPI 525.Description and prerequisite
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Fall 2026MBSTA513Categorical Data Analysis4This course builds on regression analysis from BSTA 512 by extending models to categorical outcomes. The course introduces risk and odds ratios through contingency tables and develops the theoretical foundations needed to interpret and apply logistic regression appropriately. Emphasis is placed on fitting logistic regression models, interpreting coefficients, predicting probabilities and outcomes, and diagnosing potential model issues. Related regression approaches, including log-binomial and Poisson regression, are also covered. Also offered as Bsta 613 for doctoral students.Description
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Fall 2026MBSTA514Statistical Analysis of Time-to-Event Data3This course introduces students to analysis of time-to-event (i.e. survival) data, covering methods for estimation, hypothesis testing, and regression methods for censored data with covariates. Methods widely used in the health sciences are covered, including Kaplan-Meier (empirical) estimate of the survival function and its associated statistical tests. The Cox proportional hazards regression model is presented in detail, along with some extensions of this model. As time allows, other topics will be introduced including parametric survival models, frailty models and/or models incorporating competing risks. Power and sample size computations for time-to-event data will also be introduced. Most assignments will be completed using statistical computing software. Contextualizing results in the context of health sciences problems and research questions is stressed throughout the course. Prerequisites: BSTA 512 or BSTA 612.Prerequisite
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Fall 2026MBSTA517Statistical Methods for Clinical Trial Design3Starting with an overview of clinical trials, the course focuses on phase I, II and III trials including most commonly used single-stage, two-stage and randomized controlled designs. The course will also cover recent advancements in trial designs and analysis considerations, design-specific sample size and power computations, and special topics such as adaptive designs, biomarker driven trials and pragmatic clinical trials. Bayesian approaches will be discussed where applicable across different design frameworks. This course will illustrate various trial designs through examples and case studies. Prerequisite: BSTA 511/BSTA 611, PUBH 522, or EPI 525, or instructor approval.Title changed from Statistical Methods in Clinical Trials, description changed, prerequisite changed
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Fall 2026MBSTA519Applied Longitudinal Data3This course is designed for students who have taken the basic applied statistical courses and wish to learn the more advanced statistical methods for longitudinal data. Longitudinal data consist of measurements of response variables at two or more points in time for many individuals. This course covers the statistical properties of longitudinal data and special challenges due to the repeated measurements on each individual, exploratory methods and statistical models for longitudinal data as well as some exposure to estimation methods and statistical properties of coefficient estimates. For statistical methods, the course will briefly mention the traditional repeated measure analysis of variance (ANOVA) approach for continuous data, and focus more on mixed effects model approach and estimation based on generalized estimating equation. Real life examples will be used to explain the concept and application of these models by using continuous, binary and count data. Homework assignments and final class project play a central role to understand and appropriately apply the methods covered in the course. Prerequisite: BSTA 512/BSTA 612 and BSTA 513/BSTA 613, or instructor approval.Prerequisite
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Fall 2026MBSTA526R Programming for Health Data Science3This course aims to develop programming skills in R, a powerful statistical programming language. This course assumes some prior familiarity with R and ranges from advanced beginner topics to intermediate topics. It will cover practical data science skills in R that are useful for a career in statistics, epidemiology, or data science, including loading data, data wrangling, visualization, automation, machine learning, and running statistical models. A laptop is required for class to participate in coding exercises. Prerequisite: BSTA 511/BSTA 611, EPI 525, PUBH 523/PUBH 623, or instructor approval.Prerequisite
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Fall 2026MBSTA530Biostatistics Lab3This course is a culminating experience for students in Graduate Certificate in biostatistics program and may serve as an elective for other interested students. The experience allows students to demonstrate program competencies acquired during prior applied courses. Students will be exposed to real-life research and professionally interact with staff biostatisticians and content experts (e.g. principal investigators, researchers). Students will learn about comprehensive data sources and systems commonly used in modern health sciences research, responsible conduct in research training curricula, and the equitable and ethical use of data. Students should be reasonably proficient in statistical programming prior to enrollment. Prerequisite: BSTA 512.Description
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Fall 2026MBSTA550Intro to Probability3This course is an introduction to the methods and concepts of probability theory, including conditional probability and independence, combinatorics, discrete and continuous random variables, probability distributions, joint distributions, expectation, transformations of random variables, and the central limit theorem. Students will apply probability concepts and develop statistical reasoning through simulations in R. Prerequisite: Acceptance to MS in Biostatistics program.Description
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Fall 2026MBSTA551Theory of Statistical Inference4This course provides an introduction to the theoretical foundation in biostatistics. Topics will include distributions of random variables (location-scale families and exponential families), data reduction (sufficiency and completeness of statistics), methods of estimation (method of moment estimators and maximum likelihood estimators), convergence, finite and large sample properties of estimators, interval estimation, hypothesis testing, and asymptotic tests (likelihood-ratio tests, score tests, and Wald tests). Students will also learn how to conduct statistical simulations to evaluate statistical methods. Prerequisite: BSTA 550.Prerequisite
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Fall 2026MBSTA612Linear Models4This course focuses on linear models and develops an understanding of regression analysis using simple and multiple linear regression. The course emphasizes theoretical foundations for appropriate interpretation and application of regression models. Model interpretations will include relationships between a continuous outcome and continuous covariates, categorial covariates, and interaction terms between covariates. Through coding, the course builds skills in fitting regression models, interpreting coefficients, making predictions, and diagnosing potential model issues. Also offered for graduate-level credit as BSTA 512. Prerequisite: BSTA 511/BSTA 611, PUBH 522, or EPI 525.Description and prerequisite
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Fall 2026MBSTA613Categorical Data Analysis4This course builds on regression analysis from BSTA 512 by extending models to categorical outcomes. The course introduces risk and odds ratios through contingency tables and develops the theoretical foundations needed to interpret and apply logistic regression appropriately. Emphasis is placed on fitting logistic regression models, interpreting coefficients, predicting probabilities and outcomes, and diagnosing potential model issues. Related regression approaches, including log-binomial and Poisson regression, are also covered. Also offered for graduate-level credits as BSTA 513 and may be taken only once for credit.Description
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Fall 2026MBTA328Data Privacy, Security and Ethics4Examines topics of information privacy and data security that are of fundamental importance in modern organizations from an ethical lens. The theories, concepts, and practices relating to the deployment and management of information security systems, and the collection and use of data. Topics include threat analysis and risk management; encryption and security technology; data use and reuse, data brokering; and the legal, ethical, and social implications of data-driven environments.Course number changed from 428, prerequisite changed
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Fall 2026MBTA380Data Communications4Topics include communication between people and machines, transmission systems, protocols for communication technologies, and digital communication and networks. Application areas reviewed include data communications, voice and electronic mail, Internet, and mobile systems. Management issues covered include cost/benefit analysis, organizational impact, international systems, and emerging technologies. Prerequisite: BA 325 or BA 350, CS 106.Prerequisite
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Fall 2026MBTA415Database Management4Introductory database management course for undergraduates in business. The course covers theories of data modeling, techniques for database analysis, design, development, and implementation; Structured Query Language (SQL), and management of databases. Although all major database management systems, including hierarchical, network, relational, and object-oriented will be covered; the focus will be on relational database systems. Students will learn both the theory and practice of successful design, development and implementation of databases. Prerequisite: BTA 350, BA 327.Prerequisite
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Fall 2026MBTA419Business Analytics with Programming4Introduces structured design and programming in order to solve business problems. Through hands-on development using Python programming language, students learn fundamental concepts and implementations of programming relevant to business today. Students will be prepared to understand the nature of coding, what sorts of things are easy or hard to code, what makes coders more or less productive, what sorts of problems arise, and how hard it is to maintain code. Emphasis will be placed on developing the understanding of business people who manage or work with software developers and programmers. The course focuses on developing skills relevant to the design and development of interactive business analytics using Python. Students will learn how to use the principles of programming, especially in Python to develop applications for business. Prerequisite: BTA 350, BA 327.Prerequisite
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Fall 2026NBTA423Advanced Business Analytics with AI Tools4Offers a hands-on exploration of the theoretical foundations and practical applications of predictive analytics models. Students will learn the complete process of building, evaluating, and deploying models to predict future outcomes, identify patterns, and support data-driven decisions across various industries. Students will use historical data, Artificial intelligence tools, supervised machine learning models for numerical and categorical predictions, as well as unsupervised machine learning models for data mining purposes. Prerequisite: BTA 419.
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Fall 2026NBTA450Emerging Topics in Business Analytics4In this course, students will master the deployment of advanced analytical methods on unstructured business data. This course equips them with the methodologies to harness complex data streams often overlooked in traditional predictive analytics. Students will learn to clean, preprocess, and analyze high-dimensional data using cutting-edge Machine Learning models. From semantic understanding to generative applications, students will develop the versatile skills needed to implement adaptive analytical systems that drive decision-making in a rapidly evolving digital landscape. Prerequisite: BTA 419.
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Fall 2026MCCJ208Careers in Criminal Justice4Provides an overview of criminology and criminal justice career opportunities, including policing and regulatory enforcement, courts and law, probation and parole, institutional corrections, crime prevention and crime analysis, offender counseling, victim assistance, and social services. Weekly guest speakers will help students explore CCJ career opportunities and understand the academic, volunteer, internship, and/or professional experiences to gain entry into the field. Students will examine their strengths, formulate goals, create professional documents, and connect with career advisors to prepare for employment in criminology and criminal justice.Course number changed from CCJ 308
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Fall 2026NCCJ287Murder In America4An exploration of Murder through its historical roots, theoretical foundations, legal contexts, and social consequences. Students investigate serial and mass killings, domestic and gang violence, white-collar crime, media portrayals, and the influence of culture on public perception. The course also examines cold cases and forensic advancements that shape modern investigations. By studying both notorious cases and current issues, students develop an understanding of the complex forces that shape homicide in the United States.
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Fall 2026MCCJ304Crime and Justice in Film and TV4Students will examine how film and television portray crime, law enforcement, and the justice system, and how these portrayals influence our understanding of real-world justice (accurate or not), and shape public views and ideals about the criminal justice system. Students will explore a range of films and TV series—from classic crime dramas to contemporary true crime and investigative storytelling—to analyze how media stories reflect and influence ideas about guilt, punishment, fairness, and social values.Title changed from Crime and the Media. Description changed.
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Fall 2026MCCJ311Law & Courts in the 21st Century4Students will explore how law, the courts, and the judiciary shape modern life. Study how courts respond to today’s challenges, including technological innovation, social justice movements, global crises, and shifting politics. Through landmark decisions, emerging legal trends, and real-world case studies, examine how legal institutions both influence and reflect the 21st-century world. Emphasis on the dynamic relationship between legal precedent, court practice, and societal change.Title changed from Defense, Prosecution, & Justice, description changed
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Fall 2026NCCJ346Criminal Procedure4Learn how the Constitution shapes what police, lawyers, and courts can and cannot do during a criminal case. Students look at police procedures such as searches, seizures, and interrogations, and learn the role that prosecutors, defense attorneys, and judges have in the criminal justice process. The class reviews major Supreme Court cases and explores how the justice system seeks to protect individual rights while maintaining public safety. Case examples and activities help students connect legal rules to real situations.
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Fall 2026NCCJ347Wrongful Convictions4The American criminal justice system is designed to protect innocent people, yet wrongful convictions still occur. In this course, students examine real-world cases of wrongful convictions to understand how and why innocent people are convicted and later exonerated. The class also explores what happens after exoneration, including the personal and social impacts of these cases, and considers reforms aimed at preventing similar errors in the future.
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Fall 2026NCCJ565Human Behavior & the Law3The legal system makes many assumptions about human behavior – are they accurate? Students will examine issues related to crime and criminal justice that can be addressed through applying psychological theories and research, and critique some of the most recent research related to these topics. This course will provide students with an appreciation for the uses of behavioral science research in contributing information about criminal justice public policy.
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Fall 2026NCCJ566Actual Innocence3The American criminal justice system maintains numerous safeguards to prevent the conviction of innocent individuals – nevertheless wrongful convictions persist. This seminar will focus on what we have learned about the conviction and exoneration of innocent defendants. Drawing on landmark cases, empirical research, and real-world exonerations, the course critically examines the role of post-conviction remedies (e.g., compensation), as well as policies aimed at preventing miscarriages of justice before they occur.
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Fall 2026MCE367Environmental Sustainability4Applications of the principles of energy transfer, mass transfer, and thermodynamics to environmental systems. Topics include mass balance and residence times; heat, work, and internal energy; phase transitions; heat transfer; and renewable energy systems. Prerequisite: Upper Division Standing and "C" or higher in Ch 222Z, MTH 256, and Ph 213.Prerequisite
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Fall 2026NCE413Reliability and Risk Analysis in Civil and Environmental Engineering4Fundamentals of probability theory; Probability distributions used in CE; Functions of random variables; Reliability analysis of high-reliability civil systems: (a) general formulation, (b) Monte Carlo simulation, and (c) approximate methods such as FOSM and FORM; Introduction to risk assessment; Visualization of statistical data with matplotlib and seaborn; Advanced Monte Carlo methods; Bayesian analysis. Also offered for graduate-level credit as CE 513 and may be taken only once for credit. Prerequisite: CE 316.
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Fall 2026MCE417Timber Design4Design of solid and glued-laminated beams, columns and arches; shear walls and diaphragms; connections; design provisions for wind and seismic forces. Also offered for graduate-level credit as CE 517 and may be taken only once for credit. Prerequisite: CE 324.Prerequisite
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Fall 2026NCE422Principles of Infrastructure Management4Infrastructure management agency goals; performance measures; database structure and management; deterioration modeling; life-cycle analysis; dynamic programming for network-level planning; integer programming for project-level selection; decision theory and analysis; engineering economics; bridge management systems. Also offered for graduate-level credit as CE 522 and may be taken only once for credit. Prerequisite: CE 316.
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Fall 2026NCE451Introduction to Smart Cities: Design, Technology, and Mobility4Explores the foundations of Smart Cities with emphasis on design principles and data-driven technologies shaping modern urban transportation systems. Students examine multimodal capacity, intelligent infrastructure, and urban mobility trade-offs to understand how technology and planning intersect in practice. Emphasis is placed on applying analytical methods to design sustainable and efficient smart city networks. Also offered for graduate-level credit as CE 551 and may be taken only once for credit. Prerequisite: CE 351.
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Fall 2026NCE452Transportation Systems Simulation and Modeling4Fundamentals of python programming, random numbers, simulation, statistical analysis and models for continuous, count, and discrete data and structural equations using transportation data. Introduction to transportation geospatial data and supervised and unsupervised machine learning. Utilization of large language models (LLMs) for coding and data collection. Applications to transportation systems design. Also offered for graduate-level credit as CE 552 and may be taken only once for credit. Prerequisite: CE 351.
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Fall 2026MCE478Civil Engineering Construction Management and Estimating1Prepares students for CE 484 and CE 494 Project Management and Design I and II. Topics include: engineering project lifecycle; critical path method scheduling; quantity takeoffs; cost estimating and forecasting; and, construction administration. Prerequisite: Completion of or concurrent enrollment in, at minimum, two of the following courses: CE 364, CE 450 (or CE 451, or CE 452, or CE 458, or CE 459, or CE 462, or CE 493), CE 432 (or CE 434 or CE 417), CE 444.Title changed from Civil & Environmental Engineering Construction Management and Estimating, prerequisite
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Fall 2026MCE479Fate and Transport of Toxics in the Environment4Chemical, physical, and biological principles that govern the behavior of toxic materials such as heavy metals and synthetic organic compounds in the environment. Course emphasizes practical ways to represent chemical processes in models of pollutant behavior. Topics include: adsorption of pollutants on soils and sediments; transport across sediment-water and air-water interfaces; bioamplification of pollutants; multiphase fugacity models of organics; case studies of contaminated surface water, sediment and groundwater. Expected preparation: ESM 321 or CE 371. Prerequisite: Upper-division standing.Description and prerequisite
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Fall 2026MCE480Chemistry of Environmental Toxins4The transport and long-term fate of toxic compounds in the environment. Classification, nomenclature, reactivity, equilibrium, chemical thermodynamics, mass transfer, phase transfer, partitioning, and accumulation. The physical and chemical mechanisms/processes associated with air-water exchange, organic-liquid exchange, sorption and desorption. Focus on box models, priority pollutants and risks to drinking water quality. Prerequisite: CE 367 and CE 371.Description and prerequisite
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Fall 2026MCE484Civil Engineering Project Management and Design I3Civil engineering design process including owner design, professional-constructor relationships, procurement procedures, project evolution; contracts, dispute resolution, bonds, warranties; construction documents, including specifications; group process, diversity, and leadership. One lecture, one project laboratory period. CEL course. Prerequisite: Completion of CE 478, and at minimum, two of the following courses: CE 364, CE 450 (or CE 451, or CE 452, or CE 458, or CE 459, or CE 462, or CE 493), CE 432 (or CE 434, or CE 417), CE 444.Title changed from Civil & Environmental Engineering Project Management and Design I, description and prerequisite changed
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Fall 2026MCE486Environmental Chemistry4Survey of chemical aspects of major environmental issues: stratospheric ozone holes and chlorofluorocarbons; air pollution; global climate change; fossil fuel energy/"carbon footprint"; renewable energy; nuclear energy/radioactivity; toxic chemicals (pesticides, PCBs); endocrine disruptors; surfactants, chemical dispersants/oil spills; biodegradability of chemicals; chemistry of natural waters/acid rain; toxic heavy metals. This is the same course as Ch 486 and can be taken only once for credit. Prerequisites: CE 371 or Ch 334 with a grade of "C-" or higher.Prerequisite
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Fall 2026MCE488Air Quality4An overview of urban air quality issues facing cities in the US and globally. Examine effects of air pollution on public health and environment, as well as technologies and regulatory practices. Review pollution measurement and modeling techniques. This course is the same as ESM 460 and may only be taken once for credit. Also offered for graduate-level credit as CE 588 and may be taken only once for credit. Prerequisite: Upper Division Standing; ESM 230 or CE 371 or equivalent.Prerequisite
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Fall 2026MCE490Soil and Groundwater Restoration4Methods for restoring contaminated soil and groundwater; Factors and processes influencing the efficacy of remediation systems. Emphasis on the scientific principles upon which soil and groundwater remediation is based. Containment, pump and treat, cosolvents and surfactants, soil venting, in-situ physical and chemical treatment. Also offered for graduate-level credit as CE 590 and may be taken only once for credit. Prerequisite: CE 364 and CE 371 or instructor approval.Prerequisite
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Fall 2026MCE494Civil Engineering Project Management and Design II3Synthesis of civil engineering specialties in a diverse multi-disciplinary project. Teamwork approach in design of components and systems to meet stated objectives. Consideration of alternative solutions, methods, and products including constraints such as economic factors, safety, reliability, and ethics. Preparation of design documents, including: memoranda, computations, drawings, cost estimates, specifications, bidding materials; written and oral presentations. One lecture, one design project laboratory period. CEL course. Prerequisite: CE 484.Title changed from Civil & Environmental Engineering Project Management and Design II, description changed
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Fall 2026NCE513Reliability and Risk Analysis in Civil and Environmental Engineering4Fundamentals of probability theory; Probability distributions used in CE; Functions of random variables; Reliability analysis of high-reliability civil systems: (a) general formulation, (b) Monte Carlo simulation, and (c) approximate methods such as FOSM and FORM; Introduction to risk assessment; Visualization of statistical data with matplotlib and seaborn; Advanced Monte Carlo methods; Bayesian analysis. Also offered for undergraduate-level credit as CE 413 and may be taken only once for credit. Prerequisite: Graduate standing.
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Fall 2026NCE522Principles of Infrastructure Management4Infrastructure management agency goals; performance measures; database structure and management; deterioration modeling; life-cycle analysis; dynamic programming for network-level planning; integer programming for project-level selection; decision theory and analysis; engineering economics; bridge management systems. Also offered for undergraduate-level credit as CE 422 and may be taken only once for credit. Prerequisite: Graduate Standing.
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Fall 2026MCE523Vibration Analysis in Structural Engineering4Fundamentals of vibration theory; applications in structural engineering. Free, forced, and transient vibration of single and multi-degrees of freedom systems including damping, normal modes, coupling, and normal coordinates. Also offered for undergraduate-level credit as CE 423 and may be taken only once for credit. Prerequisite: Graduate standing.Prerequisite
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Fall 2026MCE524Matrix and Computer Methods in Structural Analysis4Analysis of statically determinate and indeterminate 2D (planar) framed structures utilizing a matrix structural analysis approach; Topics covered include: create stiffness matrices for axial, beam, and frame elements (both Euler and Timoshenko formulations are implemented); create structure stiffness matrices; analyze trusses, beams, and frames using the direct stiffness method; compute deflections; introduction to plastic analysis of beams and frames. All analyses are performed in MATLAB or Python, a computer program like SAP 2000 is used for comparison. Also offered as CE 624 and may be taken only once for credit. Prerequisite: CE 325.Description
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Fall 2026NCE527Sensing and Monitoring: Fundamentals4Fundamentals of sensing and monitoring for non-destructive testing and structural health monitoring of structures, environmental monitoring, as well as experimental testing. Students will learn about various sensor technologies, data acquisition methods, and signal processing techniques. Topics include: Sensors, data acquisition, sampling, discrete signals, digital signal processing, time domain analysis, frequency domain analysis, and data visualization and interpretation. This course is a prerequisite for CE 528. Prerequisite: Graduate standing.
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Fall 2026NCE528Sensing and Monitoring: Applications4Applications of non-destructive testing methods for examining concrete, steel, and timber structures. Methods include: Visual inspection, rebound hammer, infrared thermography, impulse response testing, ultrasonic testing, ground penetrating radar, half-cell potential, and electrical resistivity. Additionally, structural health monitoring techniques based on strain, motion, and ultrasonic waves are introduced. Each method is discussed by its physics principle, instrumentation, data processing and visualization, and applications and limitations, followed by hands-on laboratory sessions. Prerequisite: CE 527.