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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.

Winter 2008 Course Information

Instructors:

• Professor Erica Fuchs, Baker-131E
• Professor Jeremy Michalek, SH-323

Administrative Assistant:

• Nancy Beatty, SH-316, 8-2908
• Susan Stringfellow, 8-6115

Lecture:

• BH-A53
• MW 12:30-2:20

Office Hours:

• TBA

Course Resources

• DTEDE project guidelines

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, Demand		Team Selection
	Jan 23	Production Economics: Technical feasible regions, production functions, cost functions, marginal products, marginal cost	Ch 2&4 ESA, Pindyck and Rubinfeld?	PS1
3	Jan 28	Mini project presentations: Project selection and scope		Team Presentations, Peer Reviews
	Jan 30	Optimization I - Unconstrained convex programming: optimality conditions, numerical methods		PS2
4	Feb 4	Optimization II - Constrained convex programming: optimailty conditions, numberical methods		Project Proposal
	Feb 6	Optimization III - Overview of advanced topics: integer programming, nonconvexities, dynamic programming, strochastic algorithms, global optimization
5	Feb 11	Applications: (Excel Solver)		PS3 (Optimization)
	Feb 13	Basic operations management	Factory Physics, Ch 1
6	Feb 18	Technical cost modeling I	Articles: Technical Cost Modeling, Process-Based Cost Modeling	PS4 (Execel Solver?)
	Feb 20	Technical cost modeling II
7	Feb 25	Design for Location, Technical Cost Modeling Workshop
	Feb 27	Modeling demand for attributes, random utility models
8	Mar 3	Random utility models
	Mar 5	Random utility models
	Mar 10	Spring break - no class
	Mar 12	Spring break - no class
9	Mar 17	Mini project presentations: modeling production		Production Analysis
	Mar 19	Heterogeneity
10	Mar 24	Heterogeneity
	Mar 26	Decision analysis	CH16 ESA
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		PS on Competition, Game Theory
13	Apr 14	Business plan creation, model integration
	Apr 16	Business plan creation, model integration
14	Apr 21	Business plan creation, model integration
	Apr 23	Design for location? Corporate Technology Strategy?, Corporate Social Responsibility? Policy implications?
15	Apr 28	Design for location? Corporate Technology Strategy?, Corporate Social Responsibility? Policy implications?
	Apr 30	Design for location? Corporate Technology Strategy?, Corporate Social Responsibility? Policy implications?
Finals Week		Final Project Presentations		Final Project Report Due