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DS 553: Managerial Stats and Opt II
3.00 Credits
University of Michigan-Dearborn
To develop basic competence and judgment in the application of quantitative analysis to the solution of decision problems. Topics include: univariate and multivariate regression analysis, one-way analysis of variance (ANOVA), linear programming, integer programming, and network models. Selected software packages are used in homework and laboratory exercises.
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DS 553 - Managerial Stats and Opt II
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DS 570: Management Science
3.00 Credits
University of Michigan-Dearborn
To develop basic competence in introductory management science and operations research. Topics include: problem formulation and model development in optimization, linear programming (LP), duality theory, economic interpretation, and sensitivity analysis, introduction to integer programming (IP), special linear programs, network modeling, and introduction to non-linear programming (NLP). Selected software packages are used in laboratory exercises and in optimization project.
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DS 570 - Management Science
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DS 630: Applied Forecasting
3.00 Credits
University of Michigan-Dearborn
This course explores various quantitative modeling methods used in forecasting. Topics include: moving averages, various smoothing techniques, trend- and seasonal forecasting, univariate- and multivariate regression based time series analysis (ARMA, ARIMA). Selected software packages are used in laboratory exercises and in an applied forecasting project.
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DS 630 - Applied Forecasting
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ECE 210: Circuits
4.00 Credits
University of Michigan-Dearborn
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.
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ECE 210 - Circuits
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ECE 210L: Circuits Lab
0.00 Credits
University of Michigan-Dearborn
Laboratory component of ECE 210. Must be taken concurrently with ECE 210.
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ECE 210L - Circuits Lab
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ECE 270: Computer Methods in ECE I
4.00 Credits
University of Michigan-Dearborn
Covers structured and object-oriented computer programming concepts in the context of the C/C++ programming language and engineering applications. Four lecture hours per week with programming assignments.
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ECE 270 - Computer Methods in ECE I
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ECE 273: Digital Systems
4.00 Credits
University of Michigan-Dearborn
Introduction to digital logic. Topics include numbers and coding systems; Boolean algebra with applications to logic systems; Karnaugh and Quine-McCluskey minimization; combinatorial logic design; flip-flops; sequential network design; and design of digital logic circuits. Three lecture hours per week and one three-hour laboratory per week.
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ECE 273 - Digital Systems
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ECE 273L: Digital Systems Lab
0.00 Credits
University of Michigan-Dearborn
Loboratory component of ECE 273. Must be taken concurrently with ECE 273.
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ECE 273L - Digital Systems Lab
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ECE 276: Discrete Math in Computer Engr
4.00 Credits
University of Michigan-Dearborn
An introduction to fundamental concepts of discrete mathematics for computer engineering. Topics will be chosen from set theory, partially ordered sets, lattices, Boolean algebra, semi-groups, rings, graphical representation of algebraic systems, graphs, and directed graphs. Applications in various areas of computer engineering will be discussed. (YR).
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ECE 276 - Discrete Math in Computer Engr
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ECE 299: Internship
3.00 Credits
University of Michigan-Dearborn
This is a Cooperative Education course. Students wishing to experience a work experience before graduation may elect to participate in the Cooperative Education Program (minimum of two terms). (F,W,S).
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ECE 299 - Internship
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