Decision Tools for Engineering Design and Entrepreneurship Course

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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.

Course Syllabus

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 Mini project presentations: modeling production Production Analysis
8 Mar 3 Modeling demand for product attributes, random utility models, logit, probit, independence from irrelevant alternatives Train Ch 1-3,5


Mar 5 Random utility models: utility functional forms, model estimation, maximum likelihood Train Ch 8
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 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 Advanced topics: design for location, corporate technology strategy, corporate social responsibility, public policy implications
F Final Project Presentations Final Project Report Due


Corporate Involvement




Instructor Reference: Course To-Dos

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