OIDD611 - Quality and Productivity (Course Syllabus)
Matching supply with demand is an enormous challenge for firms: excess supply is too costly, inadequate supply irritates customers. In the course, we will explore how firms can better organize their operations so that they more effectively align their supply with the demand for their products and services. Throughout the course, we illustrate mathematical analysis applied to real operational challenges--we seek rigor and relevance. Our aim is to provide both tactical knowledge and high-level insights needed by general managers and management consultants. We will demonstrate that companies can use (and have used) the principles from this course to significantly enhance their competitiveness.
OIDD612 - Business Analytics (Course Syllabus)
"Managing the Productive Core: Business Analytics" is a course on business analytics tools and their application to management problems. Its main topics are optimization, decision making under uncertainty, and simulation. The emphasis is on business analytics tools that are widely used in diverse industries and functional areas, including operations, finance, accounting, and marketing.
OIDD613 - Online Business Models and the Information-Based Firm (Course Syllabus)
Information technology has transformed many industries, including media, financial services, and retailing, among others. These technologies have changed not only how we produce services (e.g., outsourcing and offshoring, and their newest extension, cloud computing) but what services we offer (virtual experiences, online advertising, long tail products and services, and social networking). The purpose of this course is to improve understanding of how information technologies enable transformation of business models within existing organizations as well as the development of completely new business models and new organizational forms. The course will serve as an introductory course on information technologies and will serve as a foundation on which students can explore more advanced technology concepts.
OIDD614 - Innovation (Course Syllabus)
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 an 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.
OIDD615 - Operations Strategy (Course Syllabus)
Operations strategy is about organizing people and resources to gain a competitive advantage in the delivery of products (both goods and services) to customers. This course approaches this challenge primarily from two perspectives: 1) how should a firm design their products so that they can be profitably offered; 2) how can a firm best organize and acquire resources to deliver its portfolio of products to customers. To be able to make intelligent decisions regarding these high-level choices, this course also provides a foundation of analytical methods. These methods give students a conceptual framework for understanding the linkage between how a firm manages its supply and how well that supply matches the firm's resulting demand. Specific course topics include designing service systems, managing inventory and product variety, capacity planning, approaches to sourcing and supplier management, constructing global supply chains, managing sustainability initiatives, and revenue management. This course emphasizes both quantitative tools and qualitative frameworks. Neither is more important than the other.
OIDD636 - Scaling Operations: Linking Strategy and Execution (Course Syllabus)
The goal of this course is to make strategic scaling decisions that are grounded in operational reality. We study how to build and evaluate the operational business model of the firm to maximize value with the focus on scaling the firm's operations. We will approach the challenge of scaling by taking a holistic view that incorporates competitive strategy, financial evaluation, and the customer experience. We focus on decisions and challenges that many firms that try to scale their operations face with the focus on assessing the readiness of the firm to scale, and the required steps to scale. In particular, we will discuss whether the firm should build competencies in-house (i.e., investing in a portfolio of assets) or buy them (i.e., developing and implementing a global sourcing strategy and integrating external partners) and the risks associated with scaling these. We will also discuss the organizational implications of scaling. There are no formal pre-requisites to the class. Students who have already taken OIDD 611, OIDD 615, and STAT 613 should be equipped for the class. Other students should have a solid understanding of elementary probability and statistics. For questions regarding the specifics of your background, please contact the instructor.
OIDD642 - Analytics for Services (Course Syllabus)
This course covers a range of analytical methods that are useful tools for capacity management in services, and it will provide you with insights into the economics of a range of services businesses including (i) High-level planning models that account for multiple dimensions of service capacity, (ii) Low-level models of system congestion that capture the relationship between capacity choices, quality of service and, in some cases, system revenue, (iii) Statistical estimation and forecasting models to characterize key measures of future supply and demand. Students who have already taken OIDD 611, OIDD 612, and STAT 613 should be wellequipped for the class. Other students should have a solid understanding of elementary probability, statistics and linear programming. For questions regarding the specifics of your background, please contact the instructor.
Other Information: Class participation, case write-ups, online quizzes, self-study exercises and a final exam.
OIDD643 - Analytics for Revenue Management (Course Syllabus)
This course introduces you to the essential concepts and techniques required tounderstand and implement revenue management (RM). The need for repeated, rapid and cycles of estimation and optimization has driven the development of a set of analytical tools that are particularly well suited for RM. This course focuses on those tools. Prerequisites: Students who have already taken OIDD 612 and STAT 613 should be well equipped for this class. Other students should have a solid understanding of elementary probability, statistics and constrained optimization. For questions regarding the specifics of your background, please contact the instructor.
Other Information: Class participation, case write-ups, online quizzes, self-study exercises and a final exam.
OIDD652 - Design and Development of Web-Based Products and Services
This course is designed as an introduction to the process of product design with a focus on Web-based desktop and mobile consumer products and services. This is a course on designing products as distinct from (and complementary to) building a business. The course is implemented as a team-based experiential learning exercise; students learn the design process by developing multiple prototypes of a Web/mobile-based product or service. Teams will apply different prototyping techniques (paper, wireframes, landing pages) over multiple iterations of their project. This is not a course on Web engineering. Technical skills are not a prerequisite. Neither should students expect to learn specific programming tools or techniques. This is not an entrepreneurship course. Students do not analyze business models, market size, pricing, costs, etc. This class introduces an iterative, data-driven, experiment-based design process. Through their project, students will practice multiple design iterations and gain exposure to tools for designing digital products and services.
Prerequisites: OIDD 614
OIDD653 - Mathematical Modeling and its Application in Finance (Course Syllabus)
Quantitative methods have become fundamental tools in the analysis and planningof financial operations. There are many reasons for this development: the emergence of a whole range of new complex financial instruments, innovations in securitization, the increased globalization of the financial markets, the proliferation of information technology and the rise of high-frequency traders, etc. In this course, models for hedging, asset allocation, and multi-period portfolio planning are developed, implemented, and tested. In addition, pricing models for options, bonds, mortgage-backed securities, and other derivatives are studied. The models typically require the tools of statistics, optimization, and/or simulation, and they are implemented in spreadsheets or a high-level modeling environment, MATLAB. This course is quantitative and will require extensive computer use. The course is intended for students who have strong interest in finance. The objective is to provide students the necessary practical tools they will require should they choose to join the financial services industry, particularly in roles such as: derivatives, quantitative trading, portfolio management, structuring, financial engineering, risk management, etc. Prospective students should be comfortable with quantitative methods, such as basic statistics and the methodologies (mathematical programming and simulation) taught in OIDD 612 Business Analytics or OIDD 321 Management Science (or equivalent). Students should seek permission from the instructor if the background requirements are not met.
Prerequisites: OIDD 321 OR OIDD 612
OIDD654 - Product Management (Course Syllabus)
The course provides the student with a number of tools and concepts necessary for the contemporary practice of product management. The course is most relevant to those who hope to work as product managers, as well as for entrepreneurs who will typically serve as their venture's initial product managers. General managers and other functional managers may also find the course valuable to better understand the product management function. The key modules in the course comprise (a) creating something from nothing, (b) design and design thinking, (c) performance measurement and the communication of quantitative information, (d) agile development processes, and (e) managing growth. Alumni guest speakers in interesting product management roles will typically be scheduled weekly in the course. Many examples, tools, and methods will come from technology-based industries, but applications will also be drawn from financial services and consumer products. Most assignments will be completed for a focal product selected by each student, which could be an entrepreneurial project, something related to current or prior employment, or simply a product of personal interest. A recent Canvas site for the course is here, and should be viewable by the public. https://canvas.upenn.edu/courses/1529286 Other Information: Pedagogy includes lectures, small-group discussion, current and historical cases, podcasts, documentary films, and application of tools to a focal product. Most assignments are individual.
Other Information: Lectures, case and problem analyses, group presentations, the development of a new product to the prototype stage.
OIDD658 - Service Operations Management
The service sector represents the largest segment of most industrial economies. In the U.S., for example, it accounts for approximately 70% of GDP and 70% of employment. In addition to this "pure" service sector, the operations and competitive positions of many manufacturing firms are becoming increasingly service-oriented. While operational excellence is critical for success in most industries today, in a wide range of service industries this is particularly true. For example, recent, significant deregulation in banking, health care, and communications has led to intensified competition and pressure on operations. At the same time, the rapid evolution of information technology has enabled firms to operate in a fashion - and offer a level of service - that has not been previously possible. Elements common to most services make the management of their operations complex, however. In particular, services are intangible, not storable or transportable, and often highly variable. Frequently their delivery involves distributed operations with a significant amount of customer contact. 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. This course covers a mix of qualitative and quantitative models that provide the necessary tools. The class will focus on simple models that should help you to better understand both the difficulty of managing and the underlying economics of the service operations being considered. You will have the opportunity to apply these course tools in a group service assessment field project. Prerequisite: Courses in operations management, linear programming, probability and statistics
OIDD659 - Advanced Topics
The specific content of this course varies from semester to semester, dependingon student and faculty interest. Recent topics have included global operations, product design and development, quality management, and logistics strategy. See department for course description. Prerequisites for the course change semester to semester depending on the course content.
OIDD662 - Enabling Technologies (Course Syllabus)
This course is about understanding emerging technology enablers with a goal of stimulating thinking on new applications for commerce. The class is self-contained (mainly lecture-based) and will culminate in a class-driven identification of novel businesses that exploit these enablers. No prerequisite or technical background is assumed. Students with little prior technical background can use the course to become more technologically informed. Those with moderate to advanced technical background may find the course a useful survey of emerging technologies. The course is recommended for students interested in careers in consulting, investment banking and venture capital in the tech sector.
Other Information: Lectures, discussions, assignments and class participation.
OIDD663 - Databases for Analytics
Relational databases are the primary way in which business data is stored and processed. This course focuses on the analysis of data in databases and the development of databases to support analytical tasks. Over the course of the semester, students will learn the database language SQL and use this language to perform analytical tasks on existing and self-created databases. In addition, we will cover database scripting languages and extensions. The course is intended as students with little or no database background and does not presume prior computer science or coding experience. This course is nearly all hands-on coding. Students interested in more conceptual discussions of technology should consider other OIDD offerings such as OIDD 662.
OIDD667 - A.I., Business, and Society
The course provides an overview of AI and its role in business transformation. The purpose of this course is to improve understanding of AI, discuss the many ways in which AI is being used in the industry, and provide a strategic framework for how to bring AI to the center of digital transformation efforts. In terms of AI overview, we will go over a brief technical overview for students who are not actively immersed in AI (topics covered include Big Data, data warehousing, datamining, machine learning, etc). In terms of business applications, we will consider applications of AI in Media, Finance, Healthcare, Retail, and other industries. Finally, we will consider how AI can be used as a source of competitive advantage. We will conclude with a discussion of ethical challenges and a governance framework for AI. No prior technical background is assumed but some interest in (and exposure to) technology is helpful. Every effort is made to build most of the lectures from the basics.
OIDD673 - Global Supply Chain Mgmt. (Course Syllabus)
Several forces, ranging from technology that has dramatically reduced the cost of communication, to political developments such as the opening up of China, Vietnam, and Eastern Europe, have created an avalanche of outsourcing and offshoring and lead to supply chains that stretch halfway around the world. This course will study the many questions that arise in the management of such global supply chains, including: Which design and production activities to do in-house and which to outsource? Where to locate various activities around the world? How to forecast the many factors that influence these decisions, including inflation in cost factors such as labor and freight, and the likelihood of future government regulation or political instability? How to keep the supply chain flexible so as to adapt to change? How to manage a geographically disbursed supply chain, including what relationships to have with vendors to ensure low cost, high quality, flexibility, safety, humane labor practices and respect for sustainability of the environment? The course is highly interactive, using case discussions in most classes and senior supply chain executives in many sessions. Grades are based one-third each on class participation, individual write-ups of the discussion questions for 3 of the class sessions, and a course paper.
OIDD680 - Operations Strategy Practicum (Course Syllabus)
This course will focus on the management of operations at manufacturing and service facilities of domestic corporations and foreign multinational companies. Our emphasis will be on the evolving patterns of operations strategies adopted by firms for producing products, sourcing manufacturing, distributing products, delivering services and managing product design as well as on programs for enhancing quality, productivity and flexibility. 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. The course consists of a set of site visits and in-class sessions which include lectures, case discussions and management speakers who will describe their company's current strategy.
OIDD690 - Managerial Decision Making (Course Syllabus)
The course is built around lectures reviewing multiple empirical studies, class discussion,and a few cases. Depending on the instructor, grading is determined by some combination of short written assignments, tests, class participation and a final project (see each instructor's syllabus for details).
Other Information: Crosslisted with MGMT 690.
OIDD691 - Negotiations (Course Syllabus)
This course examines the art and science of negotiation, with additional emphasis on conflict resolution. Students will engage in a number of simulated negotiations ranging from simple one-issue transactions to multi-party joint ventures. Through these exercises and associated readings, students explore the basic theoretical models of bargaining and have an opportunity to test and improve their negotiation skills. Cross-listed with MGMT 691/OIDD 691/LGST 806. Format: Lecture, class discussion, simulation/role play, and video demonstrations. Materials: Textbook and course pack.
Other Information: Crosslisted with LGST 806, MGMT 691. Lectures, cases, presentations, and written assignments.
OIDD692 - Advanced Topics Negotiation
This is a course the builds on the basic Negotiation course. In this course, weexplore a wide range of negotiation topics from crisis and hostage negotiations, to the role of emotions including anxiety, envy and anger in negotiations, to backlash effects for women in negotiations, and the role of alcohol in negotiations. We will survey many aspects of current negotiation research, discuss historic negotiation cases, and students will participate in role-play exercises. Many of the role play exercises will involve multi-party negotiations and afford opportunities to hone skills in team-based negotiations.
Other Information: Cases, presentations, lecture and discussion.
OIDD693 - Influence (Course Syllabus)
Building, protecting and using influence is critical for achieving your goals. This requires good personal decision making as well as understanding others' decision-making, proficiency at the negotiation table as well as with the tacit negotiations before and after sitting at the table. In this course, we focus on building your facility with a wide range of influence tools to help with these efforts. Topics include power and status, informal networks, coalitions and persuasion.
OIDD695 - Semester in San Francisco Regional Seminar
As part of the Wharton Semester in San Francisco (SSF) program, this course is designed to (i) provide integrative material that emphasizes links between finance, marketing, product design, negotiations, and other themes in the SSF academic curriculum; (ii) link classroom theories and principles to actual practice by reflecting on the academic literature and (iii) highlight the unique characteristics of, and the programs proximity to, the Bay Area economy. All students participating in the SSF are required to register for this Regional Seminar.
OIDD697 - Retail Supply Chain Management (Course Syllabus)
This course is highly recommended for students with an interest in pursuing careers in: (1) retailing and retail supply chains; (2) businesses like banking, consulting, information technology, that provides services to retail firms; (3) manufacturing companies (e.g. P&G) that sell their products through retail firms. Retailing is a huge industry that has consistently been an incubator for new business concepts. This course will examine how retailers understand their customers' preferences and respond with appropriate products through effective supply chain management. Supply chain management is vitally important for retailers and has been noted as the source of success for many retailers such as Wal-mart and Home Depot, and as an inhibitor of success for e-tailers as they struggle with delivery reliability. 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.
Other Information: Lectures, case discussion, guest speakers. Class participation, papers, and a team report.
OIDD761 - Risk Analysis and Environmental Management (Course Syllabus)
This course will introduce students to concepts in risk governance. We will delve into the three pillars of risk analysis: risk assessment, risk management, and risk communication. The course will spend time on risk financing, including insurance markets. There will be particular emphasis on climate risk management, including both physical impact risk and transition risk, although the course will also discuss several other examples, including management of environmental risks, terrorism, and cyber-security, among other examples. The course will cover how people perceive risks and the impact this has on risk management. 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.
Other Information: Cross-listed with OIDD 261, BEPP 261, 761, 961, and ESE 567
OIDD762 - Environmental Sustainability and Value Creation (Course Syllabus)
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. The course explores trends in corporate practices and students consider specific examples of such practices to examine the interactions between the firm and the environment. This course has three objectives: to increase students' knowledge of sustainability practices and their impact on firm performance; to teach students to think strategically and act entrepreneurially on environmental issues; and to help students design business approaches to improve environmental outcomes, while simultaneously creating value.
OIDD763 - Energy Markets & Policy (Course Syllabus)
Over the last several decades, energy markets have become some of the most dynamic markets of the world economy. Traditional fossil fuel and electricity markets have been seen a partial shift from heavy regulation to market-driven incentives, while rising environmental concerns have led to a wide array of new regulations and "environmental markets". The growth of renewable energy could be another source of rapid change, but brings with it a whole new set of technological and policy challenges. This changing energy landscape requires quick adaptation from energy companies, but also offers opportunities to turn regulations into new business. The objective of this course is to provide students with the economist's perspective on a broad range of topics that professionals in the energy industry will encounter. Topics include the effect of competition, market power and scarcity on energy prices, the impact of deregulation on electricity and fossil fuel markets, extraction and pricing of oil and gas, geopolitical uncertainty and risk in hydrocarbon investments, the environmental impact and policies related to the energy sector, environmental cap-and-trade markets, energy efficiency, the economics and finance of renewable energy, and recent developments in the transportation sector.
OIDD777 - Introduction to Python for Data Science
The goal of this course is to introduce the Python programming language within the context of the closely related areas of statistics and data science. Students will develop a solid grasp of Python programming basics, as they are exposed to the entire data science workflow, starting from interacting with SQL databases to query and retrieve data, through data wrangling, reshaping, summarizing, analyzing and ultimately reporting their results. Competency in Python is a critical skill for students interested in data science. Prerequisites: No prior programming experience is expected, but statistics, through the level of multiple regression is required. This requirement may be fulfilled with MBA courses such as STAT 613/621; or by waiving MBA statistics.
OIDD793 - People Analytics (Course Syllabus)
This course examines the use of data to improve how people are managed within organizations. Recent years have seen a growing movement to bring more science to how we manage people. In some cases, that means ensuring that whatever practices and approaches we adopt are backed up by solid evidence as to their effectiveness. Often, organizations will seek to go further, analyzing their own data to identify problems and learn what is working and what is not in their own context. This course applies the insights of the people analytics movement to help students become better managers and more critical analysts within their organizations. The course aims to develop students in three specific ways. First, it provides students with an up-to-the-minute grounding in current evidence about managing people, providing a knowledge base that can ensure that their future management is guided by best practices. Second, it develops the skills and understanding necessary to be thoughtful, critical consumers of evidence on people management, allowing them to make the most of the analysis available to them as they make people decisions. Third, it provides guidance and practice in conducting people analytics, preparing students to gather data of their own, and making them more skilled analysts. The course addresses these topics through a mixture of lecture, case discussion, and hands on exploration of a variety of data sets.
OIDD895 - GLOBAL BUSINESS WEEK
OIDD898 - Advanced Topics
The specific content of this course varies from semester to semester, depending on student and faculty interest.