Competency in Python is a critical skill for students interested in data science. All of these factors make service operations end up looking quite a bit different than manufacturing operations, and the task of achieving excellence in them requires specialized analysis frameworks and tools. Additional topics may include biases in individual decision-making; field experiments in development economics; and happiness, neuroeconomics, and behavioral/experimental welfare economics. In this course, we extend the study and practice of negotiations and we develop a deeper understanding for how specific aspects of the negotiation process (e.g., emotions, deadlines, trust violations) impact outcomes. Please review Wharton’s undergraduate program also offers a secondary concentration in The Nonprofit Sector: Economic Challenges & Strategic ResponsesConsumers, Firms and Markets in Developing CountriesHealth Care Strategy & Management: The Business Of Health CareGlobal Social Enterprise Consulting Project: A Wharton Undergraduate CapstonePolitical and Social Environment of the Multinational FirmInternational Real Estate Development and Investment: Focus on Emerging Market EconomiesManaged Care and the Industrial Organization of Health CarePrivate Sector Development in Global Health DevelopmentAdvanced Study Project: Management of Health Care Service BusinessesBusiness, Social Responsibility and the EnvironmentPolitical and Social Environment of the Multinational FirmAdvanced Study Project: Retail Ecosystem Action Learning ProjectsInternational Real Estate Development and Investment: Focus on Emerging Market Economies Retailing is a huge industry that has consistently been an incubator for new business concepts.

Uncertainty, and how to deal with it in model-based decision making, is an overarching theme of the course. We will cover discrete state space problems, over finite or infinite time horizon, with and without discounting. Topics and problems include reachability and connectivity, setcovering, graph coloring, location of centers, location of medians, trees, shortest path, circuits, traveling salesman problem, network flows, matching, transportation, and assignment problems.In-depth review of solution methods: Lagrangean relaxation and column generation, Benders partitioning, cross-decomposition, surrogate relaxation, cutting planes and valid inequalities, logical processing, probing, branch-and-bound, branch-and-price. This course emphasizes both quantitative tools and qualitative frameworks. Applications from problem areas in which optimization plays a key role are also introduced. It explores the role of decision analysis as well as the use of scenarios for dealing with these problems. However, admittance does require completing an online, written application. The course will focus on the formulation and execution of such strategies for a collection of firms in the context of the current dynamics of global competition. We will explore public policy surrounding risk management and how the public and private sector can successfully work together to build resilience, particularly to changing risks. This course will examine how retailers understand their customers' preferences and respond with appropriate products through effective supply chain management. It is important for modern managers to understand the opportunities and challenges introduced by data and AI so that they can credibly communicate about these issues with others. These listings are subject to change. This requirement may be fulfilled with MBA courses such as This course examines the use of data to improve how people are managed within organizations. Students should seek permission from the instructor if the background requirements are not met. Neither is more important than the other. The course follows an overall product design methodology, including the identification of customer needs, generation of product concepts, prototyping, and design-for-manufacturing. help. In this course, models for hedging, asset allocation, and multi-period portfolio planning are developed, implemented, and tested. The aims of Grit Lab are two-fold: (1) equip you with generalizable knowledge about the science of passion and perseverance (2) to help you apply these insights to your own life. Cross-listed with MGMT 691/OIDD 691/LGST 806. This course provides an overview of topics related to corporate sustainability with a focus on how environmentally sustainable approaches can create value for the firm. Students will spend time inside and outside of the classroom combining data and code to provide a foundation for understanding the deep challenges that this will bring to organizations.This course is designed to introduce students to the role of risk assessment, risk perception and risk management in dealing with uncertain health, safety and environmental risks including the threat of terrorism. The goal of this course is to equip students with the knowledge and tools to utilize information systems to pursue a firm's strategic and organizational goals. See department for course description. The course will spend time on risk financing, including insurance markets. This course is designed to introduce fundamental quantitative decision-making tools for a broad range of managerial decision problems. The target audience for this course is advanced undergraduate students interested in behavioral science research and particularly those hoping to learn about using social science to change behavior for good. Students who have already taken OIDD 611, OIDD 615, and STAT 613 should be equipped for the class. Topics covered include linear, nonlinear, and discrete optimization, dynamic programming, and simulation. Permission of the instructor and some prior knowledge of logic or Prolog.Seminar on principles of knowledge-based systems including expert systems. This course develops managerial negotiation skills by mixing lectures and practice, using cases and exercises in … Prerequisites: No prior programming experience is expected, but statistics, through the level of multiple regression is required. See M. L. Fisher, A. Raman and A. McClelland, "Rocket Science Retailing is Coming - Are You Ready?," Harvard Business Review, July/August 2000 for related research.Notes: Lectures, case discussion, guest speakers. Global Modular Courses with a significant Strategic Management focus may be counted toward the major.

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