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Course Criteria
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3.00 Credits
Staff. Evolutionary computation is an exciting new technology that applies principles of evolution - such as natural selection, genetic recombination and mutation - to discover solutions to problems, adapt to the environment, and even make it possible for computers to program themselves. This seminar explores genetic algorithms, genetic programming, and classifier systems. It focuses on practical applications of this technology, including: discovering profitable investment strategies, formulating strategies for multilateral negotiations, managing a transcontinental pipeline, modeling decision processes of consumers, and multiobjective planning and scheduling of production. Students apply this technology to sample problems and work in groups on larger term projects of their own choice. Common Lisp is used for all projects, and is learned during the semester. To help students learn Lisp, we will discuss readings from the Lisp textbook and work through generic code written in Lisp for evolutionary computation.
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3.00 Credits
Staff. Decision making is becoming increasingly quantitative; hence the use and abuse of quantitative techniques is an important concern of management. Emphasis in this course is placed on understanding the formulation, analysis, and implementation of management science tools for a broad range of managerial decision problems. Topics covered include mathematical programming, decision making under uncertainty, and simulation. This course is concerned with methodological issues relating to the design and control of operations.
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3.00 Credits
Staff. Prerequisite(s): OPIM 101 or equivalent. This course focuses on agent-based computational models in the social sciences, especially in economic, in commercial and in strategic (game-theoretic) contexts. This relatively recent and now rapidly-developing form of computer simulation seeks to explain and predict complex social phenomena "from the ground up", through interactions of comparatively simple agents. The course reviews experimental and theoretical results, and exposes the students to modern development environments for this form of simulation. Students have the opportunity to design and implement agent-based simulations. Programming, however, is not required. This course aims to integrate various topics in agent-based simulation, while developing an appreciation of the problems that are particularly characteristic of this form of simulation so that students will understand its promise and potential.
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3.00 Credits
See description under OPIM 697.
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3.00 Credits
The course will examine how retailers understand their customers' preferences and respond with appropriate products through effective supply chain management. The course class sections will deal with the following major items: (1) linking finance and operations in retailing, (2) what assortment of products should a retailer carry in each store, (3) optimizing the inventory carried of each SKU in each store, (4) markdown pricing, (5) store execution and (6) supply chain design. In addition, we will consider a broad range of issues facing two retailers, Mothers Work, and Best Buy, when we are visited by current and past senior executives from these firms. The course is highly recommended for students interested in careers in: (1) Retailing and retail supply chains, (2) Businesses like banking, consulting and information technology that provide services to retail firms, (3) Manufacturing companies that sell their products through retail firms. Even if you don't expect to work for a retailer, this course can be useful to you in two ways. First, because retailers are such dominant players in many supply chains today, it is important that the processes they follow be understood by manufacturers and distributors, or by the consultants and bankers that service retailers and their suppliers. Second, the problems retailers face (e.g., making data accessible, interpreting large amounts of data, reducing lead-times, eliciting the best efforts from employees, and so forth), are shared by firms in many other industries. It's easier to understand these issues through case studies in retailing because we all experience the industry as consumers and can readily relate to chronic problems such as stock outs and markdowns. The course will be highly interactive, using case discussions in more than half of the classes and including senior retail executives in a number of the class sessions.
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3.00 Credits
1 c.u. By appointment. Decision science majors read and report on a bibliography of works in their field of specialization provided by a faculty member.
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3.00 Credits
This course provides tools and methods for creating new products. The course is intended for students with a strong career interest in new product development , entrepreneurship, and/or technology development. The course follows an overall product design methodology, including the identification of customer needs, generation of product concepts, prototyping, and design-for-manufacturing. Weekly student assignments are focused on the design of a new product and culminate in the creation of a prototype. The course is open to juniors and seniors in SEAS or Wharton.
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3.00 Credits
The course is devoted to the study of the strategic use of information and the related role of information technology. The topics of the course vary year to year, but generally include current issues in selling digital products, intermediation, and disintermediation, designing and competing in electronic markets, outsourcing, and technology project management. Heavy emphasis is placed on utilizing information economics to analyze new and existing businesses in information-intensive industries. Technology skills are not required, although a background in information technology management (equivalent to OPIM210), strategic management or managerial economics is helpful.
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3.00 Credits
Decision Models and Uncertainty
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3.00 Credits
Prerequisite(s): OPIM 621, 631. The course is first and foremost an intensive, integrative, project course in which student teams create one or more real businesses. Some businesses spun out of the course and now managed by alumni include Terrapass Inc. and Smatchy Inc. The project experience is and exciting context in which to learn key tools and fundamentals useful in innovation, problem solving, and design. Examples of these tools and fundamentals are: problem definition, identification of opportunities, generating alternatives, selecting among alternatives, principles of data graphics, and managing innovation pipelines. The course requires a commitment of at least 10 hours of work outside of class and comfort working on unstructured, interdisciplinary problems. Students with a strong interest in innovation and entrepreneurship are particularly encouraged to enroll. Please read carefully the syllabus posted on-line before registering for this course.
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