OIDD

Subject

OIDD

Type

course

Edition

2026-2027

Source

catalog.upenn.edu

Subject

OIDD

Type

course

Edition

2026-2027

Source

catalog.upenn.edu

and Decisions t STAT 1010 Introductory Business Statistics (or 1 r Honors) or STAT 4300 Probability l or ESE 3010 Engineering Probability

Subject

OIDD

Credits (min)

1

Credits (max)

1

Type

course

Edition

2026-2027

Source

catalog.upenn.edu

This course introduces the construction and use of data analysis tools that are commonly used for business analysis. The course builds on the spreadsheet and analytical skills developed in OIDD1010, providing a much more extensive treatment of spreadsheet application development (using Excel Visual Basic for Applications). In addition, we will cover best practices in programming and analytics generally which can carry over to other tools and languages. Time permitting, we will do an introduction to some advanced analytical methods that show up in complex data analysis tasks and provide a foundation for further study. In prior years, this course was a 1 cu offering combining the content described here with the content of what is now OIDD3150: Databases for Analytics (0.5 cu). Students seeking this experience can take this course along with OIDD3150 either sequentially or concurrently. 0.5 Course Units

Subject

OIDD

Type

course

Edition

2026-2027

Source

catalog.upenn.edu

Perseverance in Ourselves and Others (SNF

Subject

OIDD

Type

course

Edition

2026-2027

Source

catalog.upenn.edu

or OIDD 2210 Optimization and Analytics Complete three course units of Operations Management/

Subject

OIDD

Type

course

Edition

2026-2027

Source

catalog.upenn.edu

3210)

Subject

OIDD

Type

course

Edition

2026-2027

Source

catalog.upenn.edu

This course examines the complex and often novel legal issues surrounding the development and current state of the Internet, information privacy, and cybersecurity. Topics include federal- and state- level regulation and enforcement of Internet and privacy legal concepts, data breaches, online privacy protections, how to legally manage a borderless Internet, and the liability of intermediaries such as network operators, social media services, and search engines.

Subject

OIDD

Type

course

Edition

2026-2027

Source

catalog.upenn.edu

The objective of this seminar course is to help students understand the intersection of management and technology and how it is being translated in practice. It is designed to lay the foundation for an integrated productive learning program at Penn as students adjust to their new educational environment. The seminar is structured to accomplish this through faculty and alumni speakers from different sectors. Enrollment is limited to the freshman students and the few transfer students admitted to the M&T program only.

Subject

OIDD

Type

course

Edition

2026-2027

Source

catalog.upenn.edu

Linking Strategy and Execution

Subject

OIDD

Credits (min)

9

Credits (max)

9

Type

course

Edition

2026-2027

Source

catalog.upenn.edu

The M&T Global Immersive week is designed to provide the students in the program with firsthand experience to a global technology hub to further enhance learnings from both Penn Engineering and Wharton. With the number of technology startups in countries like Israel, India, China, especially the unicorns, the world will soon catch up with United States, if it has not already. Hence, the learnings of our future leaders should include a thorough understanding of the driving forces of the technology landscape in countries with a thriving startup culture. Each year M&T students across four years will go on a weeklong trip to a specific country chosen for that year in the first week of January. The global module will incorporate class lectures, workshops, guest lectures and visits to tech focused companies to meet local business founders and executives. Class will comprise of a group of up to 15 students chosen through an application process. The experiential learning provides the students an opportunity to learn from the leaders while immersing themselves in another culture and building relationships with the alumni in that area. 0.5 Course Units

Subject

OIDD

Type

course

Edition

2026-2027

Source

catalog.upenn.edu

The M&T Global Immersive week is designed to provide the students in the program with firsthand experience to a global technology hub to further enhance learnings from both Penn Engineering and Wharton. With the number of technology startups in countries like Israel, India, China, especially the unicorns, the world will soon catch up with United States, if it has not already. Hence, the learnings of our future leaders should include a thorough understanding of the driving forces of the technology landscape in countries with a thriving startup culture. Each year M&T students across four years will go on a weeklong trip to a specific country chosen for that year in the first week of January. The global module will incorporate class lectures, workshops, guest lectures and visits to tech focused companies to meet local business founders and executives. Class will comprise of a group of up to 15 students chosen through an application process. The experiential learning provides the students an opportunity to learn from the leaders while immersing themselves in another culture and building relationships with the alumni in that area. Two Term Class, Student must enter first term; credit given after both terms are complete 0.25 Course Units

Subject

OIDD

Type

course

Edition

2026-2027

Source

catalog.upenn.edu

The M&T Global Immersive week is designed to provide the students in the program with firsthand experience to a global technology hub to further enhance learnings from both Penn Engineering and Wharton. With the number of technology startups in countries like Israel, India, China, especially the unicorns, the world will soon catch up with United States, if it has not already. Hence, the learnings of our future leaders should include a thorough understanding of the driving forces of the technology landscape in countries with a thriving startup culture. Each year M&T students across four years will go on a weeklong trip to a specific country chosen for that year in the first week of January. The global module will incorporate class lectures, workshops, guest lectures and visits to tech focused companies to meet local business founders and executives. Class will comprise of a group of up to 15 students chosen through an application process. The experiential learning provides the students an opportunity to learn from the leaders while immersing themselves in another culture and building relationships with the alumni in that area. Two Term Class, Student must enter first term; credit given after both terms are complete 0.25 Course Units 2026-27 Catalog | Generated 08/03/26

Subject

OIDD

Type

course

Edition

2026-2027

Source

catalog.upenn.edu

Other Wharton Requirements 33 Total Course Units 37

Subject

OIDD

Type

course

Edition

2026-2027

Source

catalog.upenn.edu

Climate change represents one of the most urgent threats to humanity's future. Transforming the global economy to manage this threat will require trillions of dollars in capital, creating unprecedented risks as well as opportunities in financial markets. This course uses the tools of financial economics to understand strategies for managing risks and financing climate technologies across a range of asset classes, including carbon markets, project finance, venture capital, private equity, public equities, fixed income, and real assets. Students will also explore how financing strategies interact with public policy and political risk in both the developed and emerging market contexts. The course concludes with debates on corporate purpose, including what role businesses and financial institutions should play in addressing climate change.

Subject

OIDD

Type

course

Edition

2026-2027

Source

catalog.upenn.edu

This course examines environmental and energy issues from an economist's perspective. Over the last several decades, energy markets have become some of the most dynamic markets of the world economy, as they experienced a shift from heavy regulation to market-driven incentives. First, we look at scarcity pricing and market power in electricity and gasoline markets. We then study oil and gas markets, with an emphasis on optimal extraction and pricing, and geopolitical risks that investors in hydrocarbon resources face. We then shift gears to the sources of environmental problems, and how policy makers can intervene to solve some of these problems. We talk about the economic rationale for a broad range of possible policies: environmental taxes, subsidies, performance standards and cap-and-trade. In doing so, we discuss fundamental concepts in environmental economics, such as externalities, valuation of the environment and the challenge of designing international agreements. At the end of the course, there will be special attention for the economics and finance of renewable energy and policies to foster its growth. Finally, we discuss the transportation sector, and analyze heavily debated policies such as fuel-economy standards and subsidies for green vehicles. Prerequisites: An introductory microeconomics course (ECON1, or another course approved by the instructor) will be sufficient in most cases; BEPP 250 or an equivalent intermediate microeconomics course is recommended. Also Offered As: BEPP 2630 1 Course Unit

Subject

OIDD

Type

course

Edition

2026-2027

Source

catalog.upenn.edu

Complete two course units of BHEC electives 2

Subject

OIDD

Credits (min)

1

Credits (max)

1

Type

course

Edition

2026-2027

Source

catalog.upenn.edu

Complete two course units of Decision Processes electives 2

Subject

OIDD

Credits (min)

1

Credits (max)

1

Type

course

Edition

2026-2027

Source

catalog.upenn.edu

University of Pennsylvania Catalog 439

Subject

OIDD

Type

course

Edition

2026-2027

Source

catalog.upenn.edu

This course examines the use of data to understand and improve how people are managed in organizations. People really are organizations' most important asset, providing the critical link in converting strategy and capital into value. Yet throughout most of our history, most organizations have relied on long-standing traditions, hear-say, political expedience, prejudice and gut instinct to make decisions about how those people should be managed. 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 will provide 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, we will develop 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, we will provide guidance and practice in conducting people analytics, preparing students to gather data of their own, and making them more skilled analysts. We will pursue these goals through a mixture of lecture, case discussion, and hands on exploration of a variety of data sets.

Subject

OIDD

Type

course

Edition

2026-2027

Source

catalog.upenn.edu

This class provides a high-level introduction to the field of judgment and decision making (JDM) and in-depth exposure to the process of doing research in this area. Throughout the semester you will gain hands-on experience with several different JDM research projects. You will be paired with a PhD student or faculty mentor who is working on a variety of different research studies. Each week you will be given assignments that are central to one or more of these studies, and you will be given detailed descriptions of the research projects you are contributing to and how your assignments relate to the successful completion of these projects. To complement your hands-on research experience, throughout the semester you will be assigned readings from the book Nudge by Thaler and Sunstein, which summarizes key recent ideas in the JDM literature. You will also meet as a group for an hour once every three weeks with the class's faculty supervisor and all of his or her PhD students to discuss the projects you are working on, to discuss the class readings, and to discuss your own research ideas stimulated by getting involved in various projects. Date and time to be mutually agreed upon by supervising faculty and students. the 1CU version of this course will involve approx. 10 hours of research immersion per week and a 10-page paper. The 0.5 CU version of this course will involve approx 5 hours of research immersion per week and a 5-page final paper. Please contact Professor Joseph Simmons if you are interested in enrolling in the course: jsimmo@wharton.upenn.edu

Subject

OIDD

Type

course

Edition

2026-2027

Source

catalog.upenn.edu

The last financial crisis and subsequent recession provide ample evidence that failure to properly manage risk can result in disaster. Individuals and firms confront risk in nearly all decisions they make. People face uncertainty in their choice of careers, spending and saving decisions, family choices and many other facets of life. Similarly, the value that firms create by designing and marketing good products is at risk from a variety of sources. The bankruptcy of a key supplier, sharp rise in cost of financing, destruction of an important asset, impact of global warming, or a liability suit can quickly squander the value created by firms. In extreme cases, risky outcomes can bankrupt a firm, as has happened recently to manufacturers of automobile parts and a variety of financial service firms. The events since the Global Financial Crisis also offer stark reminders that risk can impose significant6 costs on individuals, firms, governments, and society as a whole. This course explores how individuals and firms assess and evaluate risk, examines the tolls available to successfuly mange risk and discusses real-world phenomena that limit the desired amount of risk-sharing. Our focus is primarily on explaining the products and institutions that will serve you better when making decisions in your future careers and lives.

Subject

OIDD

Type

course

Edition

2026-2027

Source

catalog.upenn.edu

Other Wharton Requirements 33 Total Course Units 37 At least two of the electives need to be BEPP courses and could include the remaining two BEPP Fundamentals. Additional course substitutions require the approval of the BEPP department’s undergraduate advisor. Course Title Course

Subject

OIDD

Credits (min)

1

Credits (max)

1

Type

course

Edition

2026-2027

Source

catalog.upenn.edu

of dit. OIDD 3190 Advanced Decision Systems: Evolutionary es or Computation

Subject

OIDD

Type

course

Edition

2026-2027

Source

catalog.upenn.edu

This course is taught with the more descriptive title of "Agents, Games, and Evolution." It explores applications and fundamentals of strategic behavior. Strategic, or game-theoretic, topics arise throughout the social sciences. The topics include--and we discuss--trust, cooperation, market-related phenomena (including price equilibria and distribution of wealth), norms, conventions, commitment, coalition formation, and negotiation. They also include such applied matters as design of logistics systems, auctions, and markets generally (for example, markets for electric power generation). In addressing these topics we focus on the practical problem of finding effective strategies for agents in strategic situations (or games). Our method of exploration will be experimental: we review and discuss experiments, principally computational experiments, on the behavior of boundedly rational agents in strategic (or game- theoretic) situations. Course work includes readings, discussions in class (organized as a seminar), examinations, and a course project on a topic chosen by the participants.

Subject

OIDD

Type

course

Edition

2026-2027

Source

catalog.upenn.edu

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 wil understand its promise and potential.

Subject

OIDD

Type

course

Edition

2026-2027

Source

catalog.upenn.edu

This capstone provides students with the opportunity to solve real-world operations analytics problems. Students will apply the learnings from their prior coursework in the Operations Management / Management Science track to solve problems shared by companies including Amazon, Formlabs, Google, and Intel. Anonymized problems from a cloud computing company, consumer packaged goods company, and food supplier will also be covered in the course. The capstone is designed to provide theoretical and practical skills for students looking to hone their data processing and analytical problem-solving skills. The kinds of analysis we will conduct in this capstone are consistent with the work conducted by first-year consultants. These consultants could be employed by traditional management-consulting firms or they could be hired into internal analytical roles or leadership development programs at companies. MGMT 3010 0.5,1 Course Unit 2026-27 Catalog | Generated 08/03/26

Subject

OIDD

Type

course

Edition

2026-2027

Source

catalog.upenn.edu

Prerequisite

OIDD 1010 AND WH 1010 AND (WH 2010 OR WH 2011) AND

This course number is currently used for several course types including independent studies, experimental courses and Management & Technology Freshman Seminar. Instructor permission required to enroll in any independent study. Wharton Undergraduate students must also receive approval from the Undergraduate Division to register for independent studies. Section 002 is the Management and Technology Freshman Seminar; instruction permission is not required for this section and is only open to M&T students. For Fall 2020, Section 004 is a new course titled AI, Business, and Society. The course provides a 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 (topic covered include Big Data, data warehousing, data-mining, different forms of machine learning, etc). In terms of business applications, we will consider applications of AI in media, Finance, 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.

Subject

OIDD

Type

course

Edition

2026-2027

Source

catalog.upenn.edu

The course centers around a sequence of three projects that each culminate in the design and fabrication of functional objects. A 2D Design, 3D Design, and final "Micro-Manufacturing" project will introduce students to a wide variety of design, engineering, and fabrication l skills made possible by the new Studios @ Tangen Hall. The micro- manufacturing final project will task interdisciplinary student teams to create a "micro-business" where they will design and utilize 3D printed molding and casting techniques to create a small-scale run of functional products. These products will then be showcased in an end of semester exposition, where the teams will merchandise and market their products to the Penn community. This exposition will also be a wonderful inaugural use of the student and alumni retail space on the 1st floor of Tangen Hall and serve as a great university-wide event to show case the work of SEAS students. Requires proficiency in solid modeling software (e.g., SolidWorks, Maya, Rhino), practice with design process, and hands-on fabrication experience. Also Offered As: MEAM 4110 1 Course Unit

Subject

OIDD

Type

course

Edition

2026-2027

Source

catalog.upenn.edu

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, which is launched at an end-of-semester public Design Fair. The course project is a physical good - but most of the tools and methods apply to services and software products. The course is open to any Penn sophomore, junior, senior or graduate student. The course follows a studio format, in which students meet for three hours each week with Professor Marcovitz for lectures and hands-on making, and students will complete 90 minutes of asynchronous, self-paced content from Professor Ulrich on their own time each week. Professor Ulrich gives one in-person lecture during the semester and attends the Design Fair, but is not present at the weekly studio sessions. Also Offered As: MEAM 4150 1 Course Unit

Subject

OIDD

Type

course

Edition

2026-2027

Source

catalog.upenn.edu

This course is devoted to the study of the strategic use of information and the related role of information technology, and designed for students who want to manage and compete in technology-intensive businesses. The topics of the course vary year to year, but generally include current issues in selling digital products, intermediation and disintermediation, competing in online markets, emerging technologies, managing artificial intelligence and data science for business, and technology project management. Heavy emphasis is placed on utilizing information economics to analyze businesses in information-intensive industries. Technology skills are not required, although a background in information technology management, strategic management or managerial economics is helpful. The course is designed to complement OIDD 2100, OIDD 2150, OIDD 2450, and OIDD 255X.

Subject

OIDD

Type

course

Edition

2026-2027

Source

catalog.upenn.edu

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 Undergraduate courses such as Stat 1020, Stat 1120. Also Offered As: STAT 4770 Mutually Exclusive: PHYS 1100 0.5-1 Course Unit University of Pennsylvania Catalog 2429

Subject

OIDD

Type

course

Edition

2026-2027

Source

catalog.upenn.edu

Convex optimization has become a real pillar of modern data science and has transformed algorithm designs. A wide spectrum of problems in statistics, machine learning, and engineering can be formulated as optimization tasks that exhibit favorable convexity properties, which admit standardized and efficient solutions. This course aims to introduce the elements of convex optimization, concentrating on modeling aspects and algorithms that are useful in data science applications. Topics include convex sets, convex functions, linear and quadratic programs, semidefinite programming, optimality conditions and duality theory. We will visit important applications in statistics and machine learning to demonstrate the wide applicability of convex optimization. We will also cover effective optimization algorithms like gradient descent and Newton's method. Prerequisites: Basic linear algebra (Math 3120, 3130, 3140 or equivalent), basic calculus (Math 2400 or equivalent), basic probability (STAT 4300 or equivalent), and knowledge of a programming language like MATLAB or Python to conduct simulation exercises. Also Offered As: STAT 4810 1 Course Unit

Subject

OIDD

Type

course

Edition

2026-2027

Source

catalog.upenn.edu

The last financial crisis and subsequent recession provide ample evidence that failure to properly manage risk can result in disaster. Individuals and firms confront risk in nearly all decisions they make. People face uncertainty in their choice of careers, spending and saving decisions, family choices, and many other facets of life. Similarly, the value that firms create by designing and marketing good products is at risk from a variety of sources. The bankruptcy of a key supplier, sharp rise in cost of financing, destruction of an important asset, impact of global warming, or a liability suit can quickly squander the value created by firms. In extreme cases, risky outcomes can bankrupt a firm, as has happened recently to manufacturers of automobile parts and a variety of financial service firms. The events since the Global Financial Crisis also offer stark reminders that risk can impose significant costs on individuals, firms, governments, and societ6y as a whole. This course explores how individuals and firms assess and evaluate risk, examines the tools available to successfully manage risk, and discusses real-world phenomena that limit the desired amount of risk-sharing. Our focus is primarily on explaining the products and institutions that will serve you better when making decisisions in your future careers and lives. Also Offered As: BEPP 5050 Mutually Exclusive: BEPP 3050, BEPP 8050, OIDD 3050, OIDD 8050 1 Course Unit

Subject

OIDD

Type

course

Edition

2026-2027

Source

catalog.upenn.edu

The course centers around a sequence of three projects that each culminate in the design and fabrication of functional objects. A 2D Design, 3D Design, and final "Micro-Manufacturing" project will introduce students to a wide variety of design, engineering, and fabrication skills made possible by the new Studios @ Tangen Hall. The micro- manufacturing final project will task interdisciplinary student teams to create a "micro-business" where they will design and utilize 3D printed molding and casting techniques to create a small-scale run of functional products. These products will then be showcased in an end of semester exposition, where the teams will merchandise and market their products to the Penn community. This exposition will also be a wonderful inaugural use of the student and alumni retail space on the 1st floor of Tangen Hall and serve as a great university-wide event to show case the work of SEAS students. Requires proficiency in solid modeling software (e.g., SolidWorks, Maya, Rhino), practice with design process, and hands-on fabrication experience. Also Offered As: IPD 5110 1 Course Unit 2026-27 Catalog | Generated 08/03/26

Subject

OIDD

Type

course

Edition

2026-2027

Source

catalog.upenn.edu

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, which is launched at an end-of-semester public Design Fair. The course project is a physical good - but most of the tools and methods apply to services and software products. The course is open to any Penn sophomore, junior, senior or graduate student. The course follows a studio format, in which students meet for three hours each week with Professor Marcovitz for lectures and hands-on making, and students will complete 90 minutes of asynchronous, self-paced content from Professor Ulrich on their own time each week. Professor Ulrich gives one in-person lecture during the semester and attends the Design Fair, but is not present at the weekly studio sessions. Also Offered As: IPD 5150 1 Course Unit

Subject

OIDD

Type

course

Edition

2026-2027

Source

catalog.upenn.edu

for Energy and Sustainability

Subject

OIDD

Type

course

Edition

2026-2027

Source

catalog.upenn.edu

Quantitative methods have become fundamental tools in the analysis and planning of 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). Mutually Exclusive: OIDD 3530, OIDD 6530 0.5,1 Course Unit

Subject

OIDD

Type

course

Edition

2026-2027

Source

catalog.upenn.edu

Prerequisite

OIDD 2210

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. Also Offered As: STAT 5770 Mutually Exclusive: OIDD 4770, OIDD 7770, STAT 4770, STAT 7770 0.5-1 Course Unit

Subject

OIDD

Type

course

Edition

2026-2027

Source

catalog.upenn.edu

Convex optimization has become a real pillar of modern data science and has transformed algorithm designs. A wide spectrum of problems in statistics, machine learning, and engineering can be formulated as optimization tasks that exhibit favorable convexity properties, which admit standardized and efficient solutions. This course aims to introduce the elements of convex optimization, concentrating on modeling aspects and algorithms that are useful in data science applications. Topics include convex sets, convex functions, linear and quadratic programs, semidefinite programming, optimality conditions and duality theory. We will visit important applications in statistics and machine learning to demonstrate the wide applicability of convex optimization. We will also cover effective optimization algorithms like gradient descent and Newton's method. Prerequisites: Basic linear algebra, basic calculus, basic probability, and knowledge of a programming language like MATLAB or Python to conduct simulation exercises. Also Offered As: STAT 5810 1 Course Unit

Subject

OIDD

Type

course

Edition

2026-2027

Source

catalog.upenn.edu

Select 1 of the following:

Subject

OIDD

Credits (min)

1

Credits (max)

1

Type

course

Edition

2026-2027

Source

catalog.upenn.edu

4 course units from the following:

Subject

OIDD

Type

course

Edition

2026-2027

Source

catalog.upenn.edu

This course is devoted to the study of the strategic use of information and the related role of information technology. It is designed for students who want to manage and compete in technology-intensive businesses. Heavy emphasis is placed on applying information economics principles and theoretical rigor to analyze businesses in information-intensive industries using both qualitative and quantitative techniques. We will study information-based industries like digital media, social networks, financial services, and online retail as well as traditional businesses that are being changed by new digital capabilities. There are four broad themes for the course: the economics of information goods and services, information and consumer behavior, markets and market design, and network economics. Each day we will discuss a core topic in one or more of these themes, with an emphasis on bridging theoretical ideas to real world applications. Application topics might include applying artificial intelligence, platform economics, and cryptocurrencies. Technology skills are not required, although a background in information technology management, strategic management, data science, or managerial economics is helpful.

Subject

OIDD

Type

course

Edition

2026-2027

Source

catalog.upenn.edu

2026-27 Catalog | Generated 08/03/26

Subject

OIDD

Type

course

Edition

2026-2027

Source

catalog.upenn.edu

The remaining 2.5 credit units must come from the following elective courses: Code Title Course

Subject

OIDD

Credits (min)

0.5

Credits (max)

0.5

Type

course

Edition

2026-2027

Source

catalog.upenn.edu

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. 0.5-1 Course Unit

Subject

OIDD

Type

course

Edition

2026-2027

Source

catalog.upenn.edu

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. 0.5 Course Units 2026-27 Catalog | Generated 08/03/26

Subject

OIDD

Type

course

Edition

2026-2027

Source

catalog.upenn.edu

This course introduces you to the essential concepts and techniques required to understand 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. 0.5 Course Units

Subject

OIDD

Type

course

Edition

2026-2027

Source

catalog.upenn.edu

in Finance

Subject

OIDD

Credits (min)

1

Credits (max)

1

Type

course

Edition

2026-2027

Source

catalog.upenn.edu

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/1575358 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. PLEASE NOTE: Only Wharton MBA students may register for OIDD 6540.

Subject

OIDD

Type

course

Edition

2026-2027

Source

catalog.upenn.edu

r NURS Case Study: Innovation in Health: 3570/5730 Foundations of Design Thinking & Equity- centered Design

Subject

OIDD

Type

course

Edition

2026-2027

Source

catalog.upenn.edu

Total Course Units 10 The curriculum is comprised of 6 core courses and 4 additional courses; one in design, one in business and two in engineering. • Since the program is cross-disciplinary, students who do not have the requisite background in the three areas, engineering, design arts, and business, may be required to enroll in additional foundational courses in these areas. • The core curriculum is comprised of 6 foundational courses that are required of all students regardless of their undergraduate degree. Select 4 additional courses; one in design, one in business and two in engineering from the preapproved list in the handbook. For more information about design, engineering and business courses see the Course Directory (https://ipd.me.upenn.edu/courses/).

Subject

OIDD

Credits (min)

1

Credits (max)

1

Type

course

Edition

2026-2027

Source

catalog.upenn.edu

Health care operations focuses on how managers design and run care delivery systems in environments characterized by high uncertainty, complex processes, and significant human and financial stakes. This course examines the distinctive operational challenges of health care, including variability in patient demand and acuity, patient flow and wait times, capacity and resource constraints, workforce design and staffing, and supply chain management. Using core operations management frameworks—such as process analysis, queueing, and capacity planning—students will learn to diagnose operational problems and evaluate tradeoffs among quality, access, cost, and workforce sustainability. The course applies these tools to a range of settings, including ambulatory care, hospitals, emergency services, among others. The will course emphasizes managerial decision-making rather than technical optimization, with learning driven by cases, applied analyses, and class discussion. By the end of the course, students will be equipped to assess and improve health care delivery operations and to contribute effectively to operational design and improvement initiatives in health care organizations. Also Offered As: HCMG 6650 0.5 Course Units

Subject

OIDD

Type

course

Edition

2026-2027

Source

catalog.upenn.edu

Total Course Units 3 In addition to these electives and with the permission of the BUAI faculty advisors, at most 0.5 CU in total can come from each of a relevant Global Modular

Subject

OIDD

Type

course

Edition

2026-2027

Source

catalog.upenn.edu

2026-27 Catalog | Generated 08/03/26

Subject

OIDD

Type

course

Edition

2026-2027

Source

catalog.upenn.edu

The financial services industry is a foundational pillar of both the U.S. and global economies, providing critical infrastructure for capital markets, credit intermediation, risk management, and financial planning. In the United States, the sector accounts for approximately 7.5% of GDP (excluding real estate), contributing over $2.2 trillion annually, and employs more than 8.5 million people. This course explores how process and technology management can be applied to improve efficiency, productivity and quality of this sector. We will take the traditional process view of operations to study how to design, deliver and innovate financial service processes with advances in technology. Drawing on the lessons from research and best practices, and from the perspective of financial institutions and regulators, the following topics will be covered: Designing Financial Services, Operational Risk Management in Financial Services, Innovating Financial Services. The course content blends rigorous quantitative and qualitative analysis, theories and practices, and practitioner and regulatory perspectives. The goal of this course is to cultivate the skills mandated by today’s increasingly complex and challenging environment facing financial services organizations. 0.5 Course Units

Subject

OIDD

Type

course

Edition

2026-2027

Source

catalog.upenn.edu

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. 0.5-1 Course Unit

Subject

OIDD

Type

course

Edition

2026-2027

Source

catalog.upenn.edu

erall Statistics oral STAT 6130 Regression Analysis for Business 1 imum or STAT 6210 Accelerated Regression Analysis for Business will Management Communication Select one of the following options: 0.5

Subject

OIDD

Credits (min)

2

Credits (max)

2

Type

course

Edition

2026-2027

Source

catalog.upenn.edu

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 6910/OIDD 6910/LGST 8060. Format: Lecture, class discussion, simulation/role play, and video demonstrations. Materials: Textbook and course pack. f Fall or Spring Also Offered As: LGST 8060, MGMT 6910 1 Course Unit 2026-27 Catalog | Generated 08/03/26

Subject

OIDD

Type

course

Edition

2026-2027

Source

catalog.upenn.edu

This is a course the builds on the basic Negotiation course. In this course, we explore 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.

Subject

OIDD

Type

course

Edition

2026-2027

Source

catalog.upenn.edu

Select 5.5 course units of electives

Subject

OIDD

Type

course

Edition

2026-2027

Source

catalog.upenn.edu

Building Skills in Ourselves and Others How do people purposefully improve their personal and professional behavior as adults? For example, how do they take ideas from a classroom (or a corporate training, or a weekend retreat) and into their lives in a way that makes a real difference? What factors promote or inhibit the success of these efforts? These are fundamental questions for most people at some point in their lives. They are especially important questions for adults as they move beyond formal educational systems and take more responsibility for their own development. These are also vital questions for leaders in organizations working to promote the development of their colleagues and teams. What can be done to help those we work with maximize their potential? In this course we draw on a variety of fields – from developmental and social psychology to behavioral economics and professional sports – to muster resources for those cultivating their own growth as well as the growth of those they work with. As a major component of the course, participants construct, undertake and evaluate a 30-day pilot project for improving some behavior in their own life. This course is designed to be downstream of any other course teaching soft skills. The course is a vehicle for deepening a student’s practice of anything they have learned from another course – in leadership, decision-making, influence, etc. – and want to improve. In the process we aim for students to learn the science and practice of skill building they can use the rest of their lives. 0.5 Course Units

Subject

OIDD

Type

course

Edition

2026-2027

Source

catalog.upenn.edu

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.

Subject

OIDD

Type

course

Edition

2026-2027

Source

catalog.upenn.edu

Artificial intelligence is rapidly changing the negotiation landscape. From AI-assisted preparation and analytics to negotiating directly with algorithmic counterparts, negotiators increasingly interact with intelligent systems rather than solely with other humans. This course examines how AI is reshaping negotiation planning, process, and outcomes. Students will learn when and how AI meaningfully improves negotiation outcomes, when it undermines them, and how to integrate AI responsibly and strategically into real-world negotiations.

Subject

OIDD

Type

course

Edition

2026-2027

Source

catalog.upenn.edu

OIDD/BEPP Climate Risks and Opportunities 7610 OIDD/LGST Environmental Sustainability and Value 7620 Creation

Subject

OIDD

Type

course

Edition

2026-2027

Source

catalog.upenn.edu

1 With Grit:

Subject

OIDD

Credits (min)

0.5

Credits (max)

0.5

Type

course

Edition

2026-2027

Source

catalog.upenn.edu

Climate change represents one of the most urgent threats to humanity’s future. Transforming the global economy to manage this threat will require trillions of dollars in capital, creating unprecedented risks as well as opportunities in financial markets. This course uses the tools of financial economics to understand strategies for managing risks and financing climate technologies across a range of asset classes, including carbon markets, project finance, venture capital, private equity, public equities, fixed income, and real assets. Students will also explore how financing strategies interact with public policy and political risk in both the developed and emerging market contexts. The course concludes with debates on corporate purpose, including what role businesses and financial institutions should play in addressing climate change.

Subject

OIDD

Type

course

Edition

2026-2027

Source

catalog.upenn.edu

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.

Subject

OIDD

Type

course

Edition

2026-2027

Source

catalog.upenn.edu

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. Also Offered As: BEPP 7630 1 Course Unit University of Pennsylvania Catalog 2435

Subject

OIDD

Type

course

Edition

2026-2027

Source

catalog.upenn.edu

University of Pennsylvania Catalog 951 0.5 STAT 7010 Modern Data Mining 0.5 STAT 7730 Data Science Using ChatGPT STAT/OIDD Convex Optimization for Statistics and 5810 Data Science 0.5 STAT 5850 Foundations of Deep Learning with

Subject

OIDD

Type

course

Edition

2026-2027

Source

catalog.upenn.edu

Traditionally, the problem of decision-making under uncertainty is presented in terms of the cognitive limitations of the decision-maker. This course explores the problem in terms of how information is manipulated, withheld, and outright fabricated by those controlling the information flow. Environments rich in corrupted information generate a unique suite of challenges for the decision-maker, among them how to interpret expert testimony, scientific data, advertisements, and claims from business leaders and media. Beginning with the foundational issue of information asymmetry, this course provides a wide-ranging review of the many ways that uncertainty is used to stymie our ability to draw unbiased conclusions. Topics covered include: the weaponization of confidence and doubt, spin, the modern attention economy, deep fakes, and how to distinguish experts from frauds. We will examine various strategies for balancing skepticism with trust, particularly in corrupted systems. By the end of the course, you will have an understanding of the theoretical underpinnings of corrupted information, and a toolkit for navigating the obstacles it places between the decision-maker and the truth.

Subject

OIDD

Type

course

Edition

2026-2027

Source

catalog.upenn.edu

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. Also Offered As: MGMT 7930 0.5 Course Units 2026-27 Catalog | Generated 08/03/26

Subject

OIDD

Type

course

Edition

2026-2027

Source

catalog.upenn.edu

The last financial crisis and subsequent recession provide ample evidence that failure to properly manage risk can result in disaster. Individuals and firms confront risk in nearly all decisions they make. People face uncertainty in their choice of careers, spending and saving decisions, family choices, and many other facets of life. Similarly, the value that firms create by designing and marketing good products is at risk from a variety of sources. The bankruptcy of a key supplier, sharp rise in cost of financing, destruction of an important asset, impact of global warming, or a liability suit can quickly squander the value created by firms. In extreme cases, risky outcomes can bankrupt a firm, as has happened recently to manufacturers of automobile parts and a variety of financial service firms. The events since the Global Financial Crisis also offer stark reminders that risk can impose significant costs on individuals, firms, governments, and societ6y as a whole. This course explores how individuals and firms assess and evaluate risk, examines the tools available to successfully manage risk, and discusses real-world phenomena that limit the desired amount of risk-sharing. Our focus is primarily on explaining the products and institutions that will serve you better when making decisisions in your future careers and lives.

Subject

OIDD

Type

course

Edition

2026-2027

Source

catalog.upenn.edu

Total Course Units 9.5 Students must take at least one of these courses.

Subject

OIDD

Credits (min)

1

Credits (max)

1

Type

course

Edition

2026-2027

Source

catalog.upenn.edu

Global Modular Course (GMC) - MBA

Subject

OIDD

Type

course

Edition

2026-2027

Source

catalog.upenn.edu

10 CU of electives at the 5000-level or above. 10 Electives can include any Wharton course or PSYC, COMM, EDUC, CIS, or ESE courses.

Subject

OIDD

Credits (min)

1

Credits (max)

1

Type

course

Edition

2026-2027

Source

catalog.upenn.edu

to OID

Subject

OIDD

Credits (min)

0.5

Credits (max)

1

Type

course

Edition

2026-2027

Source

catalog.upenn.edu

This course will help prepare you to run your own economics laboratory and field experiments. Experimental methods have been widely adopted by economists to develop new insights, and some economic theories and hypotheses are uniquely well-suited for testing with experimental tools and data. Achieving high internal and external validity requires careful experimental design. Substantive areas of application in the course will include market equilibrium, asset bubbles, learning in games, public good provision, and labor market relationships. Additional topics may include biases in individual decision-making; field experiments in development economics; and happiness, neuroeconomics, and behavioral/experimental welfare economics. Economists' typical interests in strategic and market-based interactions raise particular methodological challenges and opportunities. Not Offered Every Year Also Offered As: BEPP 9040 1 Course Unit

Subject

OIDD

Type

course

Edition

2026-2027

Source

catalog.upenn.edu

Advanced seminar focusing on topics in Operations,Information and

Subject

OIDD

Type

course

Edition

2026-2027

Source

catalog.upenn.edu

This course covers the basics of linear optimization. You will learn what linear programs (LPs) are, what they are used for, and how they are solved. During the course, you will also find connections between LPs and some of the basics of microeconomic theory. The mathematical prerequisites for the course are few. You should understand the basics of linear algebra, and we will review matrix operations, linear independence, and matrix inversion. While not strictly necessary, an understanding of partial derivatives will also help you to appreciate certain topics.

Subject

OIDD

Type

course

Edition

2026-2027

Source

catalog.upenn.edu

See advisor for other options 7 CUs of Electives at the 5000 level or above 2026-27 Catalog | Generated 08/03/26 Electives can include any Wharton course or PSYC, COMM, EDUC, CIS or ESE courses

Subject

OIDD

Type

course

Edition

2026-2027

Source

catalog.upenn.edu

In-depth study of the theory and algorithms related to the solution of linear programming problems. Optimality conditions, duality and sensitivity analysis. Primal and dual simplex methods. Interior point methods. Large-scale optimization. Dantzig-Wolfe decomposition. Not Offered Every Year 1 Course Unit

Subject

OIDD

Type

course

Edition

2026-2027

Source

catalog.upenn.edu

Prerequisite

OIDD 9100 OR ESE 5040

Convex sets and functions. Tangent cones. Polar cones. Optimality conditions and duality theory. Methods for unconstrained and constrained optimization. Interior and exterior penalty methods. Lagrangean and augmented Lagrangean methods. Not Offered Every Year 1 Course Unit

Subject

OIDD

Type

course

Edition

2026-2027

Source

catalog.upenn.edu

Prerequisite

OIDD 9100

Deals mainly with algorithmic and computational aspects of graph theory. 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. Not Offered Every Year 1 Course Unit

Subject

OIDD

Type

course

Edition

2026-2027

Source

catalog.upenn.edu

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. Study of special problems and applications: matching, location, generalized assignment, traveling salesman, forest planning, production scheduling. Prerequisite: OIDD 910/ESE 504 or equivalent. Please email the instructor for any questions regarding the prerequisite. Not Offered Every Year 1 Course Unit University of Pennsylvania Catalog 2437

Subject

OIDD

Type

course

Edition

2026-2027

Source

catalog.upenn.edu

Prerequisite

OIDD 9100 OR ESE 5040

Empirical research in Operations Management has been repeatedly called for over the last 10-15 years, including calls made from the academic thought leaders in the field as well as by many of the editors of the top academic journals. Remarkably though, most researchers in the field would be pressed to name even three empirical papers published in such journals like Management Science or Operations Research. But, has there really been so little published related to empirical Operations Management (you might be surprised to learn that all five bullets listed above has been addressed by Management Science papers)? What types of problems in operations are interesting and worthwhile studying from an empirical viewpoint? How can one get started with an empirical research project in Operations Management? These are the questions that are at the heart of this course. Specifically, the objective of this course is to (a) expose doctoral students to the existing empirical literature and (b) to provide them with the training required to engage in an empirical study themselves. 0.5 Course Units

Subject

OIDD

Type

course

Edition

2026-2027

Source

catalog.upenn.edu

or OIDD 9310Stochastic Processes ll or OIDD 9340Dynamic Programming and Stochastic Models or STAT 9310Stochastic Processes

Subject

OIDD

Type

course

Edition

2026-2027

Source

catalog.upenn.edu

Extension of the material presented in OIDD930 to include renewal theory, martingales, and Brownian motion.

Subject

OIDD

Type

course

Edition

2026-2027

Source

catalog.upenn.edu

This course presents the mathematical foundations for the analysis of queueing systems. We will study general results like Little's law and the PASTA property. We will analyze standard queueing systems (Markovian systems and variations thereof) and simple queueing networks, investigate infinite server models and many server approximations, study GI/G/1 queues through random walk approximations, and read papers on applied queueing models. Spring, even numbered years only 0.5 Course Units

Subject

OIDD

Type

course

Edition

2026-2027

Source

catalog.upenn.edu

Prerequisite

OIDD 9300

The course goal is to provide a brief but fairly rigorous introduction to the formulation and solution of dynamic programs. Its focus is primarily methodological. We will cover discrete state space problems, over finite or infinite time horizon, with and without discounting. Structured policies and their theoretical foundation will be of particular interest. Computational methods and approximation methods will be addressed. Applications are presented throughout the course, such as inventory policies, production control, financial decisions, and scheduling.

Subject

OIDD

Type

course

Edition

2026-2027

Source

catalog.upenn.edu

to Everyday Challenges in Behavioral

Subject

OIDD

Type

course

Edition

2026-2027

Source

catalog.upenn.edu

Concepts, models, and theories relevant to the management of the processes required to provide goods or services to consumers in both the public and private sectors. Includes production, inventory and distribution functions, scheduling of service or manufacturing activities, facility capacity planning and design, location analysis, product design and choice of technology. The methodological basis for the course includes management science, economic theory,organization theory, and management information system theory.

Subject

OIDD

Type

course

Edition

2026-2027

Source

catalog.upenn.edu

Seminar on distribution systems models and theory. Reviews current research in the development and solution of models of distribution systems. Emphasizes multi-echelon inventory control, logistics management, network design, and competitive models.

Subject

OIDD

Type

course

Edition

2026-2027

Source

catalog.upenn.edu

0.5 Course Units

Subject

OIDD

Type

course

Edition

2026-2027

Source

catalog.upenn.edu

Provides doctoral students in Operations and Information Management and other related fields with a perspective on modern information system methodologies, technologies, and practices. State-of-the-art research on frameworks for analysis, design, and inplementation of various types of information systems is presented. Students successfully completing the course should have the skills necessary to specify and implement an information system to support a decision process.

Subject

OIDD

Type

course

Edition

2026-2027

Source

catalog.upenn.edu

Seminar on the elements of formal logic necessary to read and contribute to the Logic modeling literature, as well as the implementation principles for logic models. The primary topics include elements of sentence and predicate logic, elements of modal logics, elements of semantics, mechanical theorem proving, logic and database, nonmonotonic reasoning, planning and the frame problem, logic programming, and metainterpreters. Permission of the instructor and some prior knowledge of logic or Prolog. Not Offered Every Year 1 Course Unit 2026-27 Catalog | Generated 08/03/26

Subject

OIDD

Type

course

Edition

2026-2027

Source

catalog.upenn.edu

Seminar on principles of knowledge-based systems including expert systems. Topics include basics of expert systems, knowledge representation, meta-level reasoning, causal reasoning, truth maintenance systems, model management, planning systems and other applications. Permission of instructor and knowledge of logic and Prolog or Lisp. Not Offered Every Year 1 Course Unit

Subject

OIDD

Type

course

Edition

2026-2027

Source

catalog.upenn.edu

In the social sciences we often use the word "explanation" as if (a) we know what we mean by it, and (b) we mean the same thing that other people do. In this course we will critically examine these assumptions and their consequences for scientific progress. In part 1 of the course we will examine how, in practice, researchers invoke at least three logically and conceptually distinct meanings of "explanation:" identification of causal mechanisms; ability to predict (account for variance in) some outcome; and ability to make subjective sense of something. In part 2 we will examine how and when these different meanings are invoked across a variety of domains, focusing on social science, history, business, and machine learning, and will explore how conflation of these distinct concepts may have created confusion about the goals of science and how we evaluate its progress. Finally , in part 3 we will discuss some related topics such as null hypothesis testing and the replication crisis. We will also discuss specific practices that could help researchers clarify exactly what they mean when they claim to have "explained" something, and how adoption of such practices may help social science be more useful and relevant to society. Also Offered As: CIS 7980, COMM 8980 1 Course Unit

Subject

OIDD

Type

course

Edition

2026-2027

Source

catalog.upenn.edu

10 CUs of electives at the 5000 level or above Electives can include any Wharton course or PSYC, COMM, EDUC, CIS or ESE courses

Subject

OIDD

Type

course

Edition

2026-2027

Source

catalog.upenn.edu

areas in information strategy such as the information and organizational economics, information technology and firm performance, search cost and pricing, information and incentives, coordination costs and the boundary of the firm, and the economics of information goods (including pricing and intellectual property protection). In addition, promising empirical approaches such as the use of intelligent agents for data collection or clickstream data analysis will be discussed. 1 Course Unit

Subject

OIDD

Type

course

Edition

2026-2027

Source

catalog.upenn.edu

Subject

OIDD

Type

course

Edition

2026-2027

Source

catalog.upenn.edu

The specific content of this course varies form semester to semester, depending on student and faculty interests. Not Offered Every Year 0.5-1 Course Unit

Subject

OIDD

Type

course

Edition

2026-2027

Source

catalog.upenn.edu

This seminar exposes students to the central issues in conflict management research. This course covers both analytic and behavioral perspectives of conflict management, and describes how the field has developed. Through discussions of theory and empirical research, the course aims to develop a foundation for understanding the extant literature and how common methodological tools have shaped the types of questions conflict management scholars have investigated - and neglected.

Subject

OIDD

Type

course

Edition

2026-2027

Source

catalog.upenn.edu

Total Course Units 19 2026-27 Catalog | Generated 08/03/26

Subject

OIDD

Credits (min)

3

Credits (max)

3

Type

course

Edition

2026-2027

Source

catalog.upenn.edu

Independent Study0-3 Course Units

Subject

OIDD

Type

course

Edition

2026-2027

Source

catalog.upenn.edu