Course Description: Special topics in graduate engineering will vary based upon student and faculty interests.

Course Description: Covers data pipeline: techniques to collect data, organize, query & apply the data, and generate products that describe the insights. Topics include Python environments, containers using Docker, data wrangling with pandas, data acquisition via flat files, APIs, JSON formats, and webscraping, relational, document, and graph databases, exploratory data analysis including static & interactive data visualization, dashboards, and cloud computing.

Course Description: This course introduces students to the underlying histories and theoretical dimensions of urban design as a creative spatial practice. By exploring a wide range of urban interventions at multiple scales, the course contextualizes contemporary design practice within the social, environmental, and political forces acting on the urban environment.

Course Description: The course will not only teach the components of doing a transaction but also the skills necessary to negotiate effectively and work with legal partners. Agreement types important to the technology sector will be explored. Students will learn from readings, case studies, projects, and in-class discussions.

Course Description: A first graduate course in principles of communications engineering. Topics include a brief review of random process theory, principles of optimum receiver design for discrete and continuous messages, matched filters and correlation receivers, signal design, error performance for various signal geometries, Mary signaling, linear and nonlinear analog modulation, and quantization. The course also treats aspects of system design such as propagation, link power calculations, noise models, RF components, and antennas. Prerequisite: Undergraduate course in probability.

Course Description: Detailed study of a selected topic determined by the current interest of faculty and students. Offered as required. Prerequisite: As specified for each offering.

Course Description: Detailed study of a selected topic, determined by the current interest of faculty and students. Offered as required.

Course Description: Analyzes the role of statistics in science; hypothesis tests of significance; confidence intervals; design of experiments; regression; correlation analysis; analysis of variance; and introduction to statistical computing with statistical software libraries. Prerequisite: Admission to graduate studies.

Course Description: Introduces the fundamental principles of particulate mechanics with an emphasis on soil strength, consolidation behavior, and fluid flow. Concepts of theoretical soil mechanics and soil physics. Prerequisites: CE 2310.

Course Description: A study of different transportation systems management strategies with specific emphasis on their impact on safety, including methods of obtaining and analyzing crash data. Emphasis is also placed on the interaction of human and vehiclecharacteristics and the road environment on safety.

Course Description: Studies the development of lighting design, from script analysis through concept to completed production.

Course Description: The purpose of this course is to prepare teachers to work with students (K-12) for whom English is not their native language. Work will include examining instruments used to assess English proficiency and the interpretation of those assessments. The curriculum design aspect of the course will be based on a differentiation model and will include methods aimed at helping students gain English language skills necessary for success in general content areas. Discussions will include topics such as cultural differences in personal interactions, strategies for working with families, and effective strategies for facilitating the learning of English by speakers of other languages and dialects. Practical experience will be gained through observations and fieldwork in public schools. Projects will be assigned according to the age-level with which the teacher hopes to work.

Course Description: Role of statistics in science, hypothesis tests of significance, confidence intervals, design of experiments, regression, correlation analysis, analysis of variance, and introduction to statistical computing with statistical software libraries. Cross-listed as APMA 6430. Prerequisite: Admission to graduate studies or instructor permission.

Course Description: A critical analysis of important issues in political analysis and research design from diverse perspectives. Issues include: framing research questions, causal analysis, rational choice, comparative historical institutionalism, interpretivism, case studies, and quantitative analysis. Prerequisite: Admission to Politics Honors Program

Course Description: Includes Chi-square tests for contingency tables, correlation, multiple regression, analysis of variance of one-way and factorial designs including repeated measures experiments, and analysis of covariance. Extension work with SPSS and MANOVA computer routines. Prerequisite: PSYC 7710 or equivalent.