Decision Tools for Engineering Design and Entrepreneurship Course
From DDL Wiki
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| Modeling demand for product attributes, [[random utility models]], [[logit]], [[probit]], [[independence from irrelevant alternatives]] | | Modeling demand for product attributes, [[random utility models]], [[logit]], [[probit]], [[independence from irrelevant alternatives]] | ||
|| [http://elsa.berkeley.edu/books/choice2.html Train] Ch 1-3,5 | || [http://elsa.berkeley.edu/books/choice2.html Train] Ch 1-3,5 | ||
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! rowspan="2" | 8 | ! rowspan="2" | 8 | ||
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| [[Random utility models]]: utility functional forms, model estimation, [[maximum likelihood]] | | [[Random utility models]]: utility functional forms, model estimation, [[maximum likelihood]] | ||
|| [http://elsa.berkeley.edu/books/choice2.html Train] Ch 8 | || [http://elsa.berkeley.edu/books/choice2.html Train] Ch 8 |
Revision as of 20:36, 4 January 2008
Carnegie Mellon University course number 19-484, 19-784, 24-484, 24-784
This course provides engineers with a multidisciplinary mathematical foundation for integrated modeling of engineering design and enterprise planning decisions in an uncertain, competitive market. Topics include economics in product design, manufacturing and operations modeling and accounting, consumer choice modeling, survey design, conjoint analysis, decision tree analysis, optimization, game theory, model integration, and professional communication skills. Students will apply theory and methods to a team project for a new product or emerging technology of their choice, developing a business plan to defend technical and economic competitiveness. Students may choose to select emerging technologies from research at Carnegie Mellon for study in the course, and in some years venture capitalists and other industry leaders will take part in critiquing student projects. This course assumes fluency with calculus and some prior programming experience. Graduate students will conduct an additional independent research project.
Course Syllabus
- Class Information
- Class Guidelines and Policies
- DTEDE Textbooks
- DTEDE Resources
- DTEDE Project Guidelines
- Course Overview
Winter 2008 Schedule
Wk | Date | Topic | Reading Due | Homework Due |
---|---|---|---|---|
1 | Jan 14 | Course introduction, Projects: task, selection, and scope | ||
Jan 16 | Engineering economics: Profit, Time-value of money, NPV, Discount rate | Ch 11, 12, 13 ESA | ||
2 | Jan 21 | Market economics: monopoly, oligopoly, perfect competition, price and demand agency | Pindyck and Rubinfeld? | Team Selection |
Jan 23 | Production economics: technical feasible regions, production functions, cost functions, marginal products, marginal cost, economies of scale and scope | Ch 2&4 ESA, Pindyck and Rubinfeld? | PS1 | |
3 | Jan 28 | Mini project presentations: project selection and scope | Team presentations, peer reviews | |
Jan 30 | Introduction to optimization - basic concepts, formulation, problem classification, Excel solver | PS2 | ||
4 | Feb 4 | Optimization 2 - unconstrained convex programming: optimality conditions, numerical methods | Ch3 ESA | Project proposal |
Feb 6 | Optimization 3 - constrained convex programming: optimality conditions, numerical methods, sensitivity analysis | |||
5 | Feb 11 | Optimization 4 - overview of advanced topics: integer programming, nonconvexities, dynamic programming, stochastic algorithms, global optimization | ||
Feb 13 | Introduction to operations management | Factory Physics, Ch 1 | PS 3 Optimization | |
6 | Feb 18 | Technical cost modeling I | Articles: technical cost modeling, process-based cost modeling | |
Feb 20 | Technical cost modeling II | |||
7 | Feb 25 | Design for location, technical cost modeling workshop | ||
Feb 27 | Modeling demand for product attributes, random utility models, logit, probit, independence from irrelevant alternatives | Train Ch 1-3,5 | ||
8 | Mar 3 | Random utility models: utility functional forms, model estimation, maximum likelihood | Train Ch 8 | |
Mar 5 | Mini project presentations: modeling production | Production Analysis | ||
Mar 10 | Spring break - no class | |||
Mar 12 | Spring break - no class | |||
9 | Mar 17 | Survey design: conjoint analysis, design of experiments, fractional factorial designs | ||
Mar 19 | Rating, ranking and choice designs, D-efficiency, the outside good and the no choice option | PS discrete choice theory | ||
10 | Mar 24 | Heterogeneity, mixed logit, basic econometrics | Train Ch 6 | Survey due to classmates |
Mar 26 | Decision analysis | CH16 ESA | Return completed surveys | |
11 | Mar 31 | Value of information | Ch16 ESA | |
Apr 2 | Mini project presentations: modeling demand | Demand analysis | ||
12 | Apr 7 | Competition, game theory | PS on decision trees, value of information | |
Apr 9 | Competition, game theory | |||
13 | Apr 14 | Business plan creation, model integration | PS on competition, game theory | |
Apr 16 | Business plan creation, model integration | |||
14 | Apr 21 | Business plan creation, model integration | ||
Apr 23 | Advanced topics: design for location, corporate technology strategy, corporate social responsibility, public policy implications | |||
15 | Apr 28 | Advanced topics: design for location, corporate technology strategy, corporate social responsibility, public policy implications | ||
Apr 30 | Graduate student independent research presentations | |||
F | Final Project Presentations | Final Project Report Due |