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Course Criteria
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3.00 - 6.00 Credits
Field study placements in national, state, local government or private agencies. Primarily for junior or senior political science concentrators or other qualified applicants. Maximum of 20 students selected each term. Students must also register for CRJ 494. Only six hours of internship is allowed toward concentration requirement. (F,W,S). 3.000 TO 6.000 Credit hours 3.000 TO 6.000 Other hours Levels: Undergraduate Schedule Types: Independent Study CASL - Administration Department Course Attributes: Upper Division
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6.00 Credits
Field placements in Washington, D.C. Course is offered only in summer semester. Primarily for junior or senior political science concentrators or other qualified applicants. Only six hours of internship credit is allowed toward concentration requirement. 3.000 TO 6.000 Credit hours 3.000 TO 6.000 Lecture hours Levels: Undergraduate Schedule Types: Lecture CASL - Administration Department Course Attributes: Upper Division
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1.00 - 6.00 Credits
Directed individual study of any subject agreed upon by the student and the instructor. May not duplicate a formal course offering. 1.000 TO 6.000 Credit hours 1.000 TO 6.000 Lecture hours Levels: Undergraduate Schedule Types: Independent Study CASL - Administration Department Course Attributes: Upper Division
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3.00 Credits
To introduce fundamental concepts and methods in data analysis, probability, estimation, and statistical inference for application in management and management science. Topics include: basic probability theory, discrete and continuous random variables and distributions, sampling and data analysis, sampling distributions, estimation, confidence intervals and hypothesis testing, introductory regression analysis and utilization of statistical software packages. 3.000 Credit hours 3.000 Lecture hours Levels: Undergraduate Schedule Types: Lecture Management Studies Department Course Attributes: Upper Division
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3.00 Credits
To continue from DS 300, during the first half of the course, the study of the concepts and methods in data analysis and statistical inference, as well as to introduce, in the second half of the course, basic linear optimization methods and models applied in the formulation, quantification, analysis, and solution of management decision problems. Topics include: simple and multiple linear regression, analysis of variance, sampling, correlation, formulation and solution of linear programming problems, transportation and transshipment models, utilization of software packages for statistical analysis and optimization. 3.000 Credit hours 3.000 Lecture hours Levels: Undergraduate Schedule Types: Lecture Management Studies Department Course Attributes: Upper Division
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3.00 Credits
To continue, from DS 350, the study of optimization methods and models applied in the formulation, quantification, analysis and solution of management decision problems. Topics include: network analysis (including PERT-CPM), goal and multi-objective linear programming, integer programming, dynamic programming, Markovian decision processes, nonlinear programming. 3.000 Credit hours 3.000 Lecture hours Levels: Undergraduate Schedule Types: Lecture Management Studies Department Course Attributes: Upper Division
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3.00 Credits
To introduce the concepts and methods of discrete-event simulation for the modeling and analysis of complex systems. Topics include: basic simulation modeling, modeling complex systems, simulation languages, selection of input probability distributions, random-number generators, generating random variable values, output data analysis for a single system, statistical techniques for comparing alternative systems, validation of simulation models, variance-reduction techniques, experimental design and optimization. 3.000 Credit hours 3.000 Lecture hours Levels: Undergraduate Schedule Types: Lecture Management Studies Department Course Attributes: Upper Division
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1.00 - 3.00 Credits
To provide students with an opportunity for intensive study in current selected areas related to the research activities and/or professional activities of faculty members. Permission of School of Management. 1.000 TO 3.000 Credit hours 1.000 TO 3.000 Lecture hours Levels: Undergraduate Schedule Types: Seminar Management Studies Department Course Attributes: Upper Division
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1.00 - 3.00 Credits
To provide the advanced student with the opportunity to undertake a research project under the supervision of a faculty member. At least two weeks prior to registration in the term when such a course is to be elected, an interested student must submit to the dean of the school a written request for permission to elect a research course, on a form available from the school office. The dean will review the proposal with faculty members to ascertain availability of relevant faculty supervision and to establish appropriate credit. 1.000 TO 3.000 Credit hours 1.000 TO 3.000 Other hours Levels: Undergraduate Schedule Types: Independent Study Management Studies Department Course Attributes: Upper Division
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4.00 Credits
Fundamental laws, electrical elements and sources, energy and power. DC analysis of linear circuits. Node and mesh analysis. Operational amplifiers and op-amp circuits, Thevenin and Norton theorems. Sinusoidal steady-state response and the phasor concept. Introductory concepts on complex frequency, average power in AC circuits. Transient responses. Three lecture hours per week and one three-hour laboratory per week. 4.000 Credit hours 3.000 Lecture hours 3.000 Lab hours Levels: Undergraduate Schedule Types: Laboratory, Lecture Electrical & Computer Engin Department Course Attributes: Lower Division
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