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Educational Leadership/School Administration |
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ADMN 8160 - Introduction to Educational Administration
Examination of behavioral components of administrative theory, organization, decision-making and planning for educational development including appraisal of significant functions, techniques, practices and problems as they relate to public school systems, social institutions, and the system of social and governmental agencies.
Credit Hours: (3)
Schedule of Classes
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ADMN 8170 - Introduction to the Community College
An overview of the two-year college with an emphasis on the comprehensive community college. Content focuses on the history and evolution of the community college including origin, culture, mission, structure, and governance. Special attention is paid to effective leadership and administration, finances, faculty, curriculum and instruction, student services and access, institutional effectiveness, community education, and economic development.
Credit Hours: (3)
Restriction(s): Admission to a doctoral program and permission of advisor and instructor
Cross-listed Course(s): ADMN 6170
Schedule of Classes
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ADMN 8171 - The American College Student
An examination of issues related to the contemporary American college student. The primary topics include a review of college student development theory, particularly related to identity and intellectual development, approaches to college student engagement, measures for student success, the social identity of college students, and differences among students from various higher education settings.
Credit Hours: (3)
Restriction(s): Doctoral standing and permission of department
Cross-listed Course(s): ADMN 6171
Schedule of Classes
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ADMN 8172 - Higher Education in the United States
A review of the development of American higher education utilizing historical perspectives and relating them to the contemporary system. Topics include: college students, faculty, curriculum, governance, finance, and the context that informs change in American post-secondary education.
Credit Hours: (3)
Cross-listed Course(s): ADMN 6172
Schedule of Classes
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ADMN 8173 - Legal Issues in Higher Education
Examination of the legal context of American higher education and current legal issues of importance to higher education leaders including legal requirements, legal rights, and legal allowances.
Credit Hours: (3)
Restriction(s): Doctoral standing and permission of department
Cross-listed Course(s): ADMN 6173
Schedule of Classes
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ADMN 8174 - Higher Education Finance and Budgeting
Examination of issues at the center of contemporary discussions of higher education finance and the challenges facing the financing of higher education. Topics include: the economic environment of higher education, tuition and affordability, regulations and compliance, budgets, and policy implications.
Credit Hours: (3)
Restriction(s): Doctoral standing and permission of department
Cross-listed Course(s): ADMN 6174
Schedule of Classes
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ADMN 8175 - Non-Traditional Approaches to Higher Education
New approaches to higher education that vary from the traditional higher education model. Examples include: online, for-profit, competency-based credit, corporate educational institutions, and satellite campuses in other states and countries. Access, funding, cost, quality, size, performance, and future directions of these non-traditional approaches are examined.
Credit Hours: (3)
Restriction(s): Doctoral standing and permission of department
Cross-listed Course(s): ADMN 6175
Schedule of Classes
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ADMN 8176 - Women in Higher Education
An overview of the history, current research, and present condition of women students, faculty, administrators, staff, and leaders in higher education institutions in the United States. Includes an exploration of why and how women and men experience higher education differently, drawing on historical, cultural, social and theoretical contexts.
Credit Hours: (3)
Restriction(s): Doctoral standing and permission of Department of Educational Leadership.
Cross-listed Course(s): ADMN 6176
Schedule of Classes
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ADMN 8177 - Student Affairs in Higher Education
An introduction to the student affairs profession within United States higher education. The primary topics include: history and development of student affairs, professional and institutional contexts, theoretical bases for the profession, organization of student affairs and functional units, essential competencies for student affairs educators, and contemporary issues affecting student affairs educators and college students.
Credit Hours: (3)
Cross-listed Course(s): ADMN 6177
Schedule of Classes
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ADMN 8178 - Higher Education Policy and Governance
Examines a range of policy issues and governance issues regarding higher education.
Credit Hours: (3)
Cross-listed Course(s): ADMN 6178
Schedule of Classes
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ADMN 8179 - Contemporary Issues in Higher Education
Examines a wide range of issues that are at the center of contemporary discussions of higher education.
Credit Hours: (3)
Cross-listed Course(s): ADMN 6179
Schedule of Classes
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ADMN 8180 - Teaching Strategies for Adults in a Diverse Society
Explores the practice of teaching adults in its complexity and variety. It is a study of methods and techniques employed in facilitating adult learning as well as an in-depth concentration of the role of philosophical orientation on teaching. Emphasis is placed on the process of designing and delivering effective individual and group learning experiences for adult learners, applying methods to learning objectives, the examining the role of the educators and their philosophies and the influence of context on the teaching of adults.
Credit Hours: (3)
Restriction(s): Doctoral standing and permission of department
Cross-listed Course(s): ADMN 6180
Schedule of Classes
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ADMN 8181 - Equity and Social Justice in Adult Education
Engages learners in critical thought and discussion around issues of equity, social justice, and adult education. Through exploration of concepts such as oppression, discrimination, power, privilege, and hegemony, learners develop an understanding of how markers of difference (e.g., race, gender, class, sexual orientation, etc.) impact one’s sense of fairness, pedagogy, and practice. A core aim of the course is to assist learners in understanding how equity and social justice impact adult education. Through gaining an appreciation for the theoretical underpinnings of social justice education and the manifestations of oppression that necessitated its development, learners develop a sensitivity to adult education as a collaborative endeavor that takes into account the person, the environment (both macro and micro), and the adult educator.
Credit Hours: (3)
Schedule of Classes
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ADMN 8410 - Advanced Internship in Educational Leadership Part I
Internship experiences planned and guided cooperatively by University and school personnel, including some work in private, community, or social service organizations. Accompanying cohort seminar for integrating and synthesizing knowledge and skills useful to practicing school leaders.
Credit Hours: (3)
Prerequisite(s): ADMN 8110 , ADMN 8120 , ADMN 8130 , and ADMN 8140 .
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ADMN 8439 - Practicum in Adult Education
Explore and expand an identified area of adult education that builds on professional and/or academic experiences previously engaged in or studied. Includes a variety of activities and experiences developed by the student in consultation with the instructor. These enable students to extend skills or develop new competencies as they work with adults in selected contexts in the community.
Credit Hours: (3)
Prerequisite(s): ADMN 8101 , admission to the doctoral program, and permission of the advisor and instructor.
Repeatability: May be repeated for credit two times.
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ADMN 8489 - Practicum in Staff Development
Examination of techniques of delivering in-service training and development of leadership for in-service educational programs including design and implementation of a staff development program in a school setting.
Credit Hours: (3)
Schedule of Classes
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ADMN 8610 - Interdisciplinary Seminar
Ideas, values, cultures, and contemporary issues affecting society generally and education particularly and principles and practices for responding to the public with whom school leaders interact.
Credit Hours: (3)
Restriction(s): Admission to Ed.D. in Educational Leadership.
Repeatability: May be repeated for credit.
Schedule of Classes
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ADMN 8660 - Instructional Leadership Seminar
Investigation and evaluation of current trends and issues in instruction as they relate to the role of the educational leader, with special attention to the role of facilitating the teaching/learning process.
Credit Hours: (3)
Schedule of Classes
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ADMN 8695 - Advanced Seminar in Teaching and Learning
Examination of a number of current teaching models to provide a framework for choosing those appropriate for a given classroom setting with special attention to the relationship between teaching strategies and learning outcomes.
Credit Hours: (3)
Schedule of Classes
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ADMN 8699 - Dissertation Proposal Seminar
Identification and definition of a research area and development of a proposal draft for an original research study appropriate for the dissertation requirement.
Credit Hours: (3)
Restriction(s): Completion of research requirements.
Schedule of Classes
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ADMN 8800 - Individual Study in Educational Administration
Independent study under the supervision of an appropriate faculty member.
Credit Hours: (1 to 6)
Restriction(s): Permission of the student’s advisor.
Repeatability: May be repeated for credit.
Schedule of Classes
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ADMN 8999 - Dissertation Research
Execution of original research study that addresses the solution to an educational or school-related problem or that addresses a substantive educational leadership or programmatic issue.
Credit Hours: (3)
Restriction(s): Permission of Ed.D. Program Director.
Grading Method: Graded on a Satisfactory Progress/Unsatisfactory Progress basis each term.
Schedule of Classes
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Educational Research, Measurement, and Evaluation |
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RSCH 6101 - Research Methods
An orientation to designs and procedures utilized in educational research, emphasizing basic principles for conducting research, interpreting and evaluating published articles representative of educational problems and issues.
Credit Hours: (3)
Schedule of Classes
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RSCH 6109 - Assessment and Evaluation Methods
Fundamentals of individual and group assessment, including selection, administration, and interpretation of norm-referenced and criterion-referenced assessment instruments and demonstration of competencies prescribed by the State of North Carolina and other professional organizational standards.
Credit Hours: (3)
Prerequisite(s): RSCH 6101 or equivalent.
Schedule of Classes
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RSCH 6110 - Descriptive and Inferential Statistics
Identification of objective reporting and decision-making statistics; application of descriptive and inferential methods; illustration of elementary parametric and nonparametric techniques in hypothesis testing; and, demonstration of the fundamentals of data processing.
Credit Hours: (3)
Prerequisite(s): RSCH 6101 or equivalent.
Schedule of Classes
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RSCH 6120 - Advanced Statistics
Application of advanced topics in probability and statistics as a basis for objective decision-making, with emphasis on the following practices through analysis of prepared data: multiple correlation and regression, one-way and n-way analysis of variance and covariance, advanced ANOVA designs, advanced non-parametric methods, and, selected multivariate statistical procedures.
Credit Hours: (3)
Prerequisite(s): RSCH 6101 and RSCH 6110 or equivalent.
Schedule of Classes
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RSCH 6130 - Presentation and Computer Analysis of Data
Fundamentals of data presentation and analysis using computer-based statistical packages (e.g., SPSS, SYSTAT, BMDP, SAS); application of basic descriptive statistics, correlational and associational measures, and inferential statistics emphasized in a series of analyses of prepared data; description of data sets and preparation of graphic presentations.
Credit Hours: (3)
Schedule of Classes
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RSCH 6800 - Independent Study in Research
Faculty-directed independent study of topics not provided by other research course offerings and/or to examine, extend, and enrich extant research knowledge through supervised individual study.
Credit Hours: (3)
Schedule of Classes
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RSCH 6890 - Special Topics in Research
Faculty-directed study and in-depth analysis of a selected area of research.
Credit Hours: (3)
Schedule of Classes
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RSCH 7111 - Qualitative Research Methods
Demonstration of historical, philosophical, biographical, ethnographic, and case study methods; location of information sources, application of methods of data collection and analysis, field techniques, and strategies for writing research results.
Credit Hours: (3)
Cross-listed Course(s): RSCH 8111 .
Schedule of Classes
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RSCH 7112 - Survey Research Methods
Techniques of survey research, including developing proposals, addressing ethical issues, selecting direct and indirect methods, preparing questionnaires, sampling, analyzing and presenting data, writing research reports, extending applications to program evaluation.
Credit Hours: (3)
Prerequisite(s): RSCH 6101 or equivalent.
Cross-listed Course(s): RSCH 8112 .
Schedule of Classes
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RSCH 7113 - Single-Case Research
In-depth study of single-case research methods, including data collection, research designs, data display and analysis, and report writing.
Credit Hours: (3)
Schedule of Classes
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RSCH 7121 - Qualitative Data Collection and Analysis
An advanced qualitative research methods course introducing various qualitative data collection and analysis techniques. Multiple analytic strategies are surveyed and compared from a range of social sciences. Also provides a practical introduction to the use of computer packages for qualitative data analysis.
Credit Hours: (3)
Prerequisite(s): RSCH 7111 or permission of instructor.
Schedule of Classes
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RSCH 7140 - Multivariate Statistics
Multiple regression, multivariate analysis of variance, discriminant function analysis, factor analysis, and other multivariate methods applied to descriptive, correlational, and experimental research problems.
Credit Hours: (3)
Prerequisite(s): RSCH 6101 , RSCH 6110 , and RSCH 6120 , or equivalent.
Cross-listed Course(s): RSCH 8140 .
Schedule of Classes
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RSCH 7150 - Structural Equation Modeling
Applies general statistical modeling techniques to establish relationships among variables. Topics include: regression models, path analysis models, exploratory and confirmatory factor analyses, latent variables, basic steps in structural equation modeling, multiple indicators and multiple causes (MIMIC) model, multi-group model, multilevel model, mixture model, structured mean model, second order factor model, latent variable growth model, and dynamic factor model.
Credit Hours: (3)
Prerequisite(s): RSCH 6110 and RSCH 6120 , or equivalent
Cross-listed Course(s): RSCH 8150
Schedule of Classes
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RSCH 7160 - Hierarchical Linear Models in Education
An applied course in hierarchical linear models. Emphases are placed on practical issues, such as selecting appropriate statistical analyses to investigate research questions, using SPSS, HLM, and SAS to analyze data, interpret results, and applying the analyses in research areas of interest.
Credit Hours: (3)
Prerequisite(s): RSCH 6110 and RSCH 6120
Cross-listed Course(s): RSCH 8160
Schedule of Classes
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RSCH 7196 - Program Evaluation Methods
Examination of principles, strategies, and techniques of program evaluation in order to identify, clarify, and apply defensible criteria that indicate a program’s value, quality, utility, effectiveness, and/or significance.
Credit Hours: (3)
Cross-listed Course(s): RSCH 8196 .
Schedule of Classes
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RSCH 7197 - Design and Analysis of Experimental and Quasi-Experimental Evaluations
Critical examination of the theoretical, ethical, and practical strategies involving the design and analysis of experiments and quasi-experiments to promote causal inference in evaluation studies and lead to defensible claims of effectiveness, practical significance, and value.
Credit Hours: (3)
Prerequisite(s): RSCH 6101 and RSCH 6110 or equivalents
Cross-listed Course(s): RSCH 8197
Schedule of Classes
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RSCH 8110 - Descriptive and Inferential Statistics
Identification of objective reporting and decision-making statistics; application of descriptive and inferential methods; illustration of elementary parametric and nonparametric techniques in hypothesis testing; and, demonstration of the fundamentals of data processing.
Credit Hours: (3)
Prerequisite(s): RSCH 8210 or equivalent.
Schedule of Classes
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RSCH 8111 - Qualitative Research Methods
Demonstration of historical, philosophical, biographical, ethnographic, and case study methods; location of information sources, application of methods of data collection and analysis, field techniques, and strategies for writing research results.
Credit Hours: (3)
Cross-listed Course(s): RSCH 7111 .
Schedule of Classes
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RSCH 8112 - Survey Research Methods
Techniques of survey research, including developing proposals, addressing ethical issues, selecting direct and indirect methods, preparing questionnaires, sampling, analyzing and presenting data, writing research reports, extending applications to program evaluation.
Credit Hours: (3)
Prerequisite(s): RSCH 8210 or equivalent.
Cross-listed Course(s): RSCH 7112 .
Schedule of Classes
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RSCH 8113 - Single-Case Research
In-depth study of single-case research methods (i.e., data collection, research designs, data display and analysis, and proposal writing), using single-case research to establish evidence-based practices, and effect size metrics for single-case research.
Credit Hours: (3)
Schedule of Classes
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RSCH 8120 - Advanced Statistics
Application of advanced topics in probability and statistics as a basis for objective decision-making, with emphasis on the following practices through analysis of prepared data: multiple correlation and regression, one-way and nway analysis of variance and covariance, advanced ANOVA designs, advanced non-parametric methods, and, selected multivariate statistical procedures.
Credit Hours: (3)
Prerequisite(s): RSCH 8210 and RSCH 8110 or equivalent.
Schedule of Classes
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RSCH 8121 - Qualitative Data Collection and Analysis
An advanced qualitative research methods course introducing various qualitative data collection and analysis techniques. Multiple analytic strategies are surveyed and compared from a range of social sciences. Also provides a practical introduction to the use of computer packages for qualitative data analysis.
Credit Hours: (3)
Prerequisite(s): RSCH 8111 or permission of instructor.
Schedule of Classes
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RSCH 8130 - Presentation and Computer Analysis of Data
Fundamentals of data presentation and analysis using computer-based statistical packages (e.g., SPSS, SYSTAT, BMDP, SAS); application of basic descriptive statistics, correlational and associational measures, and inferential statistics emphasized in a series of analyses of prepared data; description of data sets and preparation of graphic presentations.
Credit Hours: (3)
Schedule of Classes
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RSCH 8140 - Multivariate Statistics
Multiple regression, multivariate analysis of variance, discriminant function analysis, factor analysis, and other multivariate methods applied to descriptive, correlational, and experimental research problems.
Credit Hours: (3)
Prerequisite(s): RSCH 8210 , RSCH 8110 , and RSCH 8120 or equivalent.
Cross-listed Course(s): RSCH 7140 .
Schedule of Classes
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RSCH 8150 - Structural Equation Modeling
Applies general statistical modeling techniques to establish relationships among variables. Topics include: regression models, path analysis models, exploratory and confirmatory factor analyses, latent variables, basic steps in structural equation modeling, multiple indicators and multiple causes (MIMIC) model, multi-group model, multilevel model, mixture model, structured mean model, second order factor model, latent variable growth model, and dynamic factor model.
Credit Hours: (3)
Prerequisite(s): RSCH 8110 and RSCH 8120 , or equivalent.
Cross-listed Course(s): RSCH 7150
Schedule of Classes
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RSCH 8160 - Hierarchical Linear Models in Education
An applied course in hierarchical linear models. Emphases are placed on practical issues, such as selecting appropriate statistical analyses to investigate research questions, using SPSS, HLM, and SAS to analyze data, interpret results, and applying the analyses in research areas of interest.
Credit Hours: (3)
Prerequisite(s): RSCH 8110 and RSCH 8120
Cross-listed Course(s): RSCH 7160
Schedule of Classes
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RSCH 8196 - Program Evaluation Methods
Examination of principles, strategies, and techniques of program evaluation in order to identify, clarify, and apply defensible criteria that indicate a program’s value, quality, utility, effectiveness, and/or significance.
Credit Hours: (3)
Cross-listed Course(s): RSCH 7196 .
Schedule of Classes
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RSCH 8197 - Design and Analysis of Experimental and Quasi-Experimental Evaluations
Critical examination of the theoretical, ethical, and practical strategies involving the design and analysis of experiments and quasi-experiments to promote causal inference in evaluation studies and lead to defensible claims of effectiveness, practical significance, and value.
Credit Hours: (3)
Prerequisite(s): RSCH 8110 and RSCH 8210 or equivalents
Cross-listed Course(s): RSCH 7197
Schedule of Classes
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RSCH 8210 - Applied Research Methods
Advanced study of qualitative (e.g., Case Study, Ethnography, Grounded Theory) and quantitative (e.g., Experimental, Single Subject, Descriptive, Correlational, Causal-Comparative) research methods and evaluation research approaches.
Credit Hours: (3)
Schedule of Classes
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RSCH 8220 - Educational and Psychological Measurement
Focuses on the basic principles of educational and psychological measurement. Concepts needed to evaluate and interpret results from standardized measures are emphasized. The course is devoted to developing fundamental measurement concepts and an understanding of common issues such as standard settings, differential item functioning, computerized adaptive testing, and scale linking and equating.
Credit Hours: (3)
Prerequisite(s): RSCH 8110 or equivalent
Schedule of Classes
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RSCH 8230 - Theory and Applications of Measurement
Primary focus on methods of constructing instruments used in educational and psychological contexts for evaluation purposes, particularly instruments designed to measure student achievement and psychological constructs. Various stages of instrument development are considered with a focus on optimizing validity and reliability of scores. In addition, some fundamental psychometric theories including classical test theory, item response theory, and/or generalizability theory are also covered.
Credit Hours: (3)
Prerequisite(s): RSCH 8110 or equivalent
Schedule of Classes
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RSCH 8410 - Internship in Educational Research
Issues and concepts in statistical consulting, educational research design, and educational measurement are applied to practical problems in the field. This course supports the professional development of doctoral students as they gain experience applying educational research methods to research projects for school systems and related agencies.
Credit Hours: (3)
Prerequisite(s): RSCH 8140 or equivalent
Grading Method: Graded on a Pass/Unsatisfactory basis.
Repeatability: May be repeated for credit up to 6 hours.
Schedule of Classes
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RSCH 8411 - Internship in Teaching Educational Research
Issues and concepts in teaching adults and preparing educational researchers are applied in the college teaching experience. This course supports doctoral students as they experience a graduated co-teaching process ultimately resulting in assumption of full college teaching responsibilities for university courses in educational research topics.
Credit Hours: (3)
Prerequisite(s): RSCH 8210
Grading Method: Graded on a Pass/Unsatisfactory basis.
Schedule of Classes
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RSCH 8699 - Dissertation Proposal Design
Identification and definition of a research area and development of a proposal draft for an original research study appropriate for the dissertation requirement.
Credit Hours: (3)
Grading Method: Graded on a Pass/Unsatisfactory basis.
Schedule of Classes
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RSCH 8800 - Independent Study in Research
Faculty-directed independent study of topics not provided by other research course offerings and/or to examine, extend, and enrich extant research knowledge through supervised individual study.
Credit Hours: (3)
Schedule of Classes
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RSCH 8890 - Special Topics in Research
Faculty-directed study and in-depth analysis of a selected area of research.
Credit Hours: (3)
Schedule of Classes
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RSCH 8999 - Dissertation
Under the direction of a dissertation advisor and committee, students are expected to design and execute an original research study. This study should address a significant issue or program related to educational research.
Credit Hours: (1 to 6)
Grading Method: Graded on a Satisfactory Progress/Unsatisfactory Progress basis each term.
Repeatability: May be repeated for credit up to 6 credit hours.
Schedule of Classes
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Electrical and Computer Engineering |
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ECGR 5090 - Special Topics
Directed study of current topics of special interest.
Credit Hours: (1 to 6)
Repeatability: May be repeated for credit.
Schedule of Classes
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ECGR 5100 - Research Tools and Techniques in Computer Engineering
Introduces students to the fundamentals of computer engineering research and the practical tools required collect, analyze, and report research results. Key engineering mathematics topics are covered such as the propositional and predicate calculus, analysis of algorithms, and graph theory. Students are exposed to compiling software packages and device drivers as well as the conventions for developing similar software. Credit for ECGR 5100 will not be given where credit has been given for ECGR 4100.
Credit Hours: (3)
Restriction(s): Graduate standing
Cross-listed Course(s): ECGR 4100
Schedule of Classes
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ECGR 5101 - Advanced Embedded Systems
An advanced course in embedded system design utilizing advanced microprocessors. Architecture, software, and interface techniques. This course is project-oriented, involving the use of a logic analyzer and hardware design tools. Credit will not be given for ECGR 5101 where credit has been given for ECGR 4101.
Credit Hours: (3)
Restriction(s): Graduate standing
Cross-listed Course(s): ECGR 4101
Schedule of Classes
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ECGR 5102 - Engineering Simulation
A wide range of simulation related topics will be introduced including the theory of simulation, characteristics of simulators, and tradeoffs in simulation studies. Continuous and discrete simulation with primary emphasis on application of simulation techniques to engineering problems. Simulation of actual problems based on students’ interest and experience areas. Credit will not be given for ECGR 5102 where credit has been given for ECGR 4102.
Credit Hours: (3)
Prerequisite(s): ECGR 2103 or equivalent.
Schedule of Classes
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ECGR 5103 - Applied Computer Graphics
Interactive graphics; raster, character, vector, graphics, display technologies; rotation, scaling, translating of graphics image; image processing/enhancement; feature extraction; 3-D graphics. Credit will not be given for ECGR 5103 where credit has been given for ECGR 4103.
Credit Hours: (3)
Prerequisite(s): ECGR 3111 or permission of department.
Schedule of Classes
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ECGR 5104 - Computational Methods in Power Systems
Numerical techniques for analysis, operation and planning of power systems. Sparse matrix techniques applied to power flow algorithms. Economic operation of power systems. Optimum power flow. Credit will not be given for ECGR 5104 where credit has been given for ECGR 4104.
Credit Hours: (3)
Prerequisite(s): ECGR 4142 or equivalent.
Schedule of Classes
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ECGR 5105 - Introduction to Machine Learning
Machine learning is a sub-field of Artificial Intelligence that gives computers the ability to learn and/or act without being explicitly programmed. This course covers the necessary theory, principles, and algorithms for machine learning. Topics include: supervised, unsupervised learning approaches (including deep learning), optimization procedures, and statistical inference. Students digest and practice their knowledge and skills by class discussion, homework, and exams, as well as obtain in-depth experience with a particular topic through a final project.
Credit Hours: (3)
Cross-listed Course(s): ECGR 4105
Schedule of Classes
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ECGR 5106 - Real-Time Machine Learning
An interactive practical introduction to real-time machine learning and deep learning inference based on leveraging Nvidia Jetson platform. Introduces Convolutional Neural Networks (CNNs) and Recurrent Neural Networks (RNNs) inference algorithms for real-time computer vision and scene analysis, including object detection, pose estimation, and activity analysis. Examines basic deep learning constructs based on current design tools (e.g., Pytorch and Real-time Tensorflow libraries).
Credit Hours: (3)
Restriction(s): A background in programming is required.
Cross-listed Course(s): ECGR 4106
Schedule of Classes
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ECGR 5111 - Control Systems
Mathematical models and characteristics of control systems. Performance and stability of linear feedback systems. Root locus and frequency response techniques. Stability in frequency domain. Time domain analysis. Design and compensation of control systems. Credit will not be given for ECGR 5111 where credit has been given for ECGR 4111.
Credit Hours: (3)
Restriction(s): Permission of instructor.
Schedule of Classes
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ECGR 5112 - Nonlinear Analysis
Solution of nonlinear problems using numerical and graphical methods, phase plane plots, analysis of singular points and analytical techniques. Forced oscillating systems. Stability of nonlinear systems. Use of analog and digital computer to study nonlinear problems.
Credit Hours: (3)
Prerequisite(s): ECGR 3111 or equivalent.
Schedule of Classes
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ECGR 5113 - Network Synthesis
The positive real concept, properties and methods of testing. Realizability conditions on driving point functions. Methods of synthesis of one-port. Physical realizability and properties of two-port networks. Transfer function synthesis. Approximation methods. Credit will not be given for ECGR 5113 where credit has been given for ECGR 4183.
Credit Hours: (3)
Prerequisite(s): ECGR 4113 or equivalent.
Schedule of Classes
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ECGR 5114 - Device Characterization, Parameterization and Modeling
Advance device and circuit analysis; device and circuit simulation using SPICE, ECAP or equivalent. Parametric modeling of active devices. Device characterization and parameterization; temperature effects; thermal cycling. Analysis of device failure modes. Credit will not be given for ECGR 5114 where credit has been given for ECGR 4184.
Credit Hours: (3)
Prerequisite(s): ECGR 3132 and ECGR 4134 or their equivalents.
Schedule of Classes
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ECGR 5115 - Convex Optimization and AI Applications
This course focuses on the theory and the algorithmic aspects of convex optimization. Topics include
convex sets, convex functions, and convex optimization problems; duality theory and optimality conditions;
algorithms for solving convex problems; use of numerical tools to solve problems; and if time permits, we
will discuss non-convex optimization problems.
Throughout this course, we will discuss applications of the materials to engineering topics (as time
permits) such as signal processing, control, robotics, machine learning, statistics, and related engineering
problems.
Credit will not be given for ECGR 5115 where credit has been given for ECGR 4115.
Credit Hours:
Prerequisite(s): MATH 2164, ECGR 2103, or equivalent courses.
Cross-listed Course(s): ECGR 4115
Schedule of Classes
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ECGR 5121 - Antennas
Radiation into free space, the point source, thin linear antenna, arrays of linear elements, aperture antennas, impedance, methods of feeding, matching and termination. Antenna systems. Credit will not be given for ECGR 5121 where credit has been given for ECGR 4121.
Credit Hours: (3)
Prerequisite(s): ECGR 3122 or equivalent.
Schedule of Classes
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ECGR 5122 - Random Processes and Optimum Filtering
Review of probability, univariate and multivariate distribution functions; random processes, discrete and continuous time processes, widesense stationary, ergodicity; time- and frequency-domain analysis; linear systems, optimum filtering, Wiener filters, Kalman filters; application. Credit will not be given for ECGR 5122 where credit has been given for ECGR 4422.
Credit Hours: (3)
Prerequisite(s): ECGR 3111 and STAT 3128 or permission of department.
Cross-listed Course(s): ECGR 5122 .
Schedule of Classes
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ECGR 5123 - Advanced Electromagnetic Field Theory
Maxwell’s equations and propagation. Properties of guided and surface waves. Wave properties of light; physical and fiber optics. Credit will not be given for ECGR 5123 where credit has been given for ECGR 4185.
Credit Hours: (3)
Prerequisite(s): ECGR 3122 or equivalent.
Schedule of Classes
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ECGR 5124 - Digital Signal Processing
Sampling and signal recovery in linear systems; analysis of sampled systems; discrete and fast Fourier transforms; ztransform; discrete convolution; design of digital FIR and IIR filters. Credit will not be given for ECGR 5124 where credit has been given for ECGR 4124.
Credit Hours: (3)
Prerequisite(s): ECGR 3111 or equivalent.
Schedule of Classes
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ECGR 5125 - Foundation of Optical Engineering
The engineering aspects and applications of modern optics, optical communications, optical materials, optical devices, basic optical fiber and integrated optics, optical signals, and optical modulation, multiplexing, and related networks, basic Fourier optics and its application in optical images and information. Credit will not be given for ECGR 5125 where credit has been given for ECGR 4125.
Credit Hours: (3)
Prerequisite(s): ECGR 3121 and PHYS 3141, with a grade of C or above or permission of department.
Schedule of Classes
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ECGR 5127 - Machine Learning for the Internet of Things
The concepts and skills necessary to design, train, and deploy machine learning models in resource-constrained devices are explored. Topics include: analysis of the computational requirements of machine learning models; requirements of edge-deployed machine learning; techniques to reduce storage, computation, and latency; and software tools available. The concepts are applied through a series of projects.
Credit Hours: (3)
Prerequisite(s): ECGR 4105 or ECGR 5105
Cross-listed Course(s): ECGR 4127
Schedule of Classes
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ECGR 5132 - Analog Integrated Circuit Design
Topics include: analog MOS modeling, design of current mirrors, references, and operational amplifiers. Both hand analysis and SPICE simulation utilized. Credit will not be given for ECGR 5132 where credit has been given for ECGR 4132.
Credit Hours: (3)
Prerequisite(s): ECGR 4131 or equivalent.
Schedule of Classes
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ECGR 5133 - VLSI Systems Design
Analysis, design, and synthesis of very large scale integrated circuits. A project-oriented course relying heavily on computer-aided design tools for logic, layout design, and simulation. Credit will not be given for ECGR 5133 where credit has been given for ECGR 4433.
Credit Hours: (3)
Prerequisite(s): ECGR 2181 and 3131 or their equivalents.
Schedule of Classes
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ECGR 5134 - Advanced VLSI Systems Design
A project-oriented course dealing with advanced topics in VLSI systems design and analysis such as circuit design techniques, array structures, performance estimation, automated routing and device electronics. Credit will not be given for ECGR 5134 where credit has been given for ECGR 4188.
Credit Hours: (3)
Prerequisite(s): ECGR 5133 or permission of department.
Schedule of Classes
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ECGR 5135 - Physical Electronics
Dynamics of charged particles; electron motion in electromagnetic fields; types of electron emission; beam focusing; longitudinal and transverse beam waves; microwave generation; plasma parameters. Credit will not be given for ECGR 5135 where credit has been given for ECGR 4135.
Credit Hours: (3)
Prerequisite(s): ECGR 3122 or equivalent.
Schedule of Classes
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ECGR 5136 - Semiconductor Optoelectronic Materials and Devices
Direct and indirect bandgap materials; Compound and wide bandgap semiconductors; Electronic properties; Optical properties; Generation and recombination; Junction theory; Light emitting devices; Optical detectors. Credit will not be given for ECGR 5136 where credit has been given for ECGR 4136.
Credit Hours: (3)
Prerequisite(s): ECGR 3133 with grade of C or above, or permission of department.
Schedule of Classes
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ECGR 5137 - Device Electronics for Integrated Circuits
The basic operating principles of electronic devices in integrated circuits are treated. The physical models of these devices are discussed. Graduate students are required to carry out laboratory experimentation. Credit will not be given for ECGR 5137 where credit has been given for ECGR 4137.
Credit Hours: (3)
Prerequisite(s): ECGR 3132 and ECGR 4134 or their equivalents.
Schedule of Classes
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ECGR 5138 - Electronic Thin Film Materials and Devices
Applications of thin films in microelectronics / optoelectronics manufacturing processes; vacuum technology, deposition techniques, and the characterization methods relevant to optoelectronic applications; thin film applications such as metallization, silicide formation, light emitting diodes (LED) and lasers, and doping of semiconductors. Credit will not be given for ECGR 5138 where credit has been given for ECGR 4138.
Credit Hours: (3)
Prerequisite(s): ECGR 4133 or 3132, or equivalent.
Schedule of Classes
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ECGR 5139 - Digital Communication Systems
Topics include: digital data transmission systems, signal and system representation, digital system performance characterization, pulse code modulation, and statistical communications theory. Credit will not be given for ECGR 5139 where credit has been given for ECGR 4139.
Credit Hours: (3)
Prerequisite(s): ECGR 3111 or equivalent.
Schedule of Classes
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ECGR 5140 - Introduction to VLSI Processing
Microelectronic fabrication; relevant materials, processes, and tools; fabrication of a simple structure in the VLSI clean room/lab. Credit will not be given for ECGR 5140 where credit has been given for ECGR 4140.
Credit Hours: (3)
Prerequisite(s): Permission of department.
Schedule of Classes
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ECGR 5142 - Power Generation: Operation and Control
Characteristics of power generation units, steam, nuclear reactor and hydroelectric. Economic and thermal system dispatch. Transmission losses, load flow problems. Hydro scheduling, hydro-plant models. Energy production cost models. Interchange evaluation. Credit will not be given for ECGR 5142 where credit has been given for ECGR 4190.
Credit Hours: (3)
Prerequisite(s): ECGR 4142 or equivalent.
Schedule of Classes
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ECGR 5143 - Dynamic and Transient Analysis of Power Systems
Large-scale systems state descriptions and hierarchical control. State space models, dynamic stability and testing. Stability of simple and multimachine systems. Transient phenomena in electrical power systems. Transient stability problem. Credit will not be given for ECGR 5143 where credit has been given for ECGR 4191.
Credit Hours: (3)
Prerequisite(s): ECGR 4142 or equivalent.
Schedule of Classes
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ECGR 5144 - Power Electronics I
Topics include: power transfer, DC/DC converters, DC/AC inverters for use in resonant converters and motor drives, AC/DC rectifiers, gate-drive circuits for linear and switching amplifiers, pulse-width modulators, introduction to power supply design correction Credit will not be given for ECGR 5144 where credit has been given for ECGR 4144.
Credit Hours: (3)
Restriction(s): Graduate standing and knowledge of fundamentals of electric circuit analysis and electronics, or permission of department. High power solid state circuits.
Schedule of Classes
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ECGR 5146 - Introduction to VHDL
Introduction to VHSIC Hardware Description Language (VHDL) including VHDL-based high-level design of microelectronic systems, VHDL programming, and VHDL synthesis; emphasis on learning and using industry-standard VHDL tools running on VNIX workstations. Credit will not be given for ECGR 5146 where credit has been given for ECGR 4146.
Credit Hours: (3)
Prerequisite(s): ECGR 2182 or equivalent and knowledge of a computer language.
Schedule of Classes
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ECGR 5161 - Control of Robotic Manipulators
Control of industrial robots including linear, nonlinear, and adaptive control of robot’s motion plus control of forces and torques exerted by the end-effector. Additional topics include computer animation of the controlled behavior of industrial robots, actuator and sensor types, robot vision, and control computer/robot interfacing. Credit will not be given for ECGR 5161 where credit has been given for ECGR 4162.
Credit Hours: (3)
Prerequisite(s): ECGR 4161 and 4111 or their equivalents.
Cross-listed Course(s): MEGR 7128 and MEGR 8128 .
Schedule of Classes
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ECGR 5165 - Laser Electronics I
Basic principles of quantum electronics, interaction of light with atoms, properties of laser light, laser applications. Electromagnetic aspects of lasers, Maxwell’s Equations and beam, ray optics, matrix methods for the analysis and synthesis of optical systems. Laser resonator design, oscillations modes, mode frequency and stability. Credit will not be given for ECGR 5165 where credit has been given for ECGR 4165.
Credit Hours: (3)
Prerequisite(s): ECGR 3122 and PHYS 3141 or their equivalents.
Schedule of Classes
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ECGR 5171 - Introduction to Energy Systems
Overview of energy systems: energy types, generation, conversion, storage, transportation/transmission, and utilization. Principles, physical structure, processes, and utilization of fossil fuel, nuclear, and renewables for transportation, thermal, and electrical energy generation are discussed along with associated performance metrics. The course also provides an introduction to environmental impacts of energy production, life-cycle analysis, energy efficiency concepts and metrics, transmission systems, grid reliability, and the impact of smart grid technologies. All topics are presented in the context of industry standards as well as federal and state regulations. Credit will not be given for ECGR 5171 where credit has been given for ECGR 4171.
Credit Hours: (3)
Restriction(s): Graduate standing or permission of the department.
Schedule of Classes
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ECGR 5172 - Energy Markets
Energy and power systems in regulated and competitive environments and implications on business decisions for firms in these industries. Topics include: mechanism of energy markets; comparative market systems; determination of prices under different market structures; gas, oil, coal, and electricity market architecture; electricity market design; dispatch and new build decisions; smart grid and renewable energy in electricity markets; risk and risk management in energy including demand and price volatility and use of financial derivatives; and the impact of financial market trends and current and proposed policies on the energy industry. Credit will not be given for ECGR 5172 where credit has been given for ECGR 4172.
Credit Hours: (3)
Pre- or Corequisite(s): ECGR 4171 or equivalent; MATH 1241; ECON 2101; or permission of the department.
Schedule of Classes
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ECGR 5181 - Computer Architecture
Latest research and development in the area of computer architecture; multiprocessor architecture, multicomputers, interconnection networks, branch prediction, instruction-level, data-level and thread-level parallelism, and memory hierarchy; high-performance machines and special purpose processors. Credit will not be given for ECGR 5181 where credit has been given for ECGR 4181.
Credit Hours: (3)
Prerequisite(s): ECGR 3183 or permission of department.
Schedule of Classes
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ECGR 5182 - Digital System Testing
Introduction to VLSI testing, test process and automatic test equipment, test economics and product quality, test economics, fault modeling, logic and fault simulation, testability measures, combinational and sequential circuit test generation, memory test, analog test, delay test, IDDQ test, design for testability, built-in self test, boundary scan, analog test bus, system test and core test. Credit will not be given for ECGR 5182 where credit has been given for ECGR 4182.
Credit Hours: (3)
Prerequisite(s): ECGR 3181 with a grade of C or above or permission of department.
Schedule of Classes
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ECGR 5187 - Data Communications and Networking II
Principles of data communication networks; computer communications network architecture (layering) with emphasis on the network layer, transport layer, and application layer; local area networks; medium access control; routing; data transport; Internet applications. Credit will not be given for ECGR 5187 where credit has been given for ECGR 4187.
Credit Hours: (3)
Prerequisite(s): .
Schedule of Classes
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ECGR 5188 - Modeling and Analysis of Dynamic Systems
Models and dynamical properties of mechanical, thermal, and fluid systems, utilizing by analogy the properties of electrical circuit theory. Emphasis on the formulation of circuit models and the development of terminal equations of system components. Dynamic response to step, pulse, and sinusoidal driving functions using Laplace transforms. Sinusoidal steadystate and frequency response of systems. Credit will not be given for ECGR 5188 where credit has been given for ECGR 4113.
Credit Hours: (3)
Prerequisite(s): ECGR 3111 or equivalent.
Schedule of Classes
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