Managerial Statistics
- R 9 a.m.-10:30 a.m.
- W 11 a.m.-12:30 p.m.
- W 9 a.m.-10:30 a.m.
- R 11 a.m.-12:30 p.m.
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Instructor:
Paul Glasserman
Info - 1.5 points
Business Analytics
- TR 2:20 p.m.-3:50 p.m.
- TR 10:50 a.m.-12:20 p.m.
- TR 4:10 p.m.-5:40 p.m.
- TR 9 a.m.-10:30 a.m.
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Instructor:
Yashodhan Kanoria
h-index: 18 Info - 1.5 points
OPERATIONS MANAGEMENT
- MW 10:50 a.m.-12:20 p.m.
- MW 2:20 p.m.-3:50 p.m.
- MW 4:10 p.m.-5:40 p.m.
- MW 10:50 a.m.-12:20 p.m.
- MW 2:20 p.m.-3:50 p.m.
- MW 4:10 p.m.-5:40 p.m.
- MW 2:20 p.m.-3:50 p.m.
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Instructor:
Nicole Dehoratius
Info - 1.5 points
Process Improvement and Growth
This class brings business operations and management science classes to the field with real-world experience. Through experiential learning, we will bridge the gap between theory and practice with international case discussions, conversations with guest speakers and hands-on company sponsored projects. Different to most classes in the school, in this class students will be exposed to a series of international cases and examples based on medium-sized, fast-growing entrepreneurial ventures. Each session will also include a guest speaker, often times the protagonist of the case studied, giving the students the opportunity to learn directly from successful entrepreneurs and senior executives.
Additionally, students will put into practice the concept of process improvement by working on a company-sponsored applied project. Teams of 4-5 people, 3-4 MBA/EMBA students and 1-2 engineering (SEAS) students, will work hand in hand with the instructors and company representatives to achieve company goals. For example, teams may be tasked with re-designing the logistical strategy of distribution of the company to get rid of inefficiencies, or identify and find strategies to eliminate areas of waste within the companies’ processes, or analyze customer feedback and design operational solutions to increase customer satisfaction, etc.
Enrollment in this course is by application only. To apply, please follow this link: https://forms.gle/EG6buNZqQYEgN2EH9
- T 6 p.m.-9:15 p.m.
- 3 points
Business Analytics II Half Term
This course extends and deepens the material you learned in business analytics. We will apply these methods in more unstructured and diverse situations, introduce new analytics tools and methods (including Tableau Visualization, text mining, and random forests), and study a modern framework for overfitting reduction called regularization that underlies much of modern machine learning. This course does not require coding or knowledge beyond Business Analytics, but the mathematical sophistication level will be somewhat more advanced.
- M 2:20 p.m.-5:35 p.m.
- T 9 a.m.-12:15 p.m.
- T 2:20 p.m.-5:35 p.m.
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Instructor:
Hongseok Namkoong
h-index: 11 Info - 1.5 points
Operations Strategy
A firm's operations encompass all the activities that are performed in order to produce and deliver a product or a service. An operations strategy refers to a set of operational decisions that a firm makes to achieve a long-term competitive advantage. These decisions may be about the firms facilities, its technology/process choices, its relationships with both upstream and downstream business partners etc. The goal of this course is to provide students with an understanding of how and why operational decisions are integral to a firms success. The course builds on concepts from the core Operations Management course and the core Strategy Formulation course. It is highly relevant to anyone whose work requires the strategic analysis of a firms operations, including those interested in consulting, entrepreneurship, mergers and acquisitions, private equity, investment analysis, and general management. The course consists of four modules. The first module, Strategic Alignment," explores the question of how a firms operations should be structured so as to be consistent with the firms chosen way to compete. The second module, "Firm Boundaries," considers the question of what operational activities should remain in house and what should be done by a business partner and the long-term implications of these decisions on competitive advantage. This module also addresses the issue of managing the business relationships with supply chain partners. The third module, "Internal Operations," considers key decision categories in operations, e.g., capacity decisions, process choices, IT implementation, and managing networks, and shows how these decisions can lead to distinctive capabilities. The final module, "New Challenges," is set aside to address new topics that reflect the current trends in the business environment."
- M 2:20 p.m.-5:35 p.m.
- T 9 a.m.-12:15 p.m.
- T 2:20 p.m.-5:35 p.m.
- W 2:20 p.m.-5:35 p.m.
- R 9 a.m.-12:15 p.m.
- R 2:20 p.m.-5:35 p.m.
- W 9 a.m.-12:15 p.m.
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Instructor:
Medini Singh
Info - 3 points
SUPPLY CHAIN ANALYTICS
Supply chain management entails managing the flow of goods and information through a production or distribution network to ensure that the right goods are delivered to the right place in the right quantity at the right time. Two primary objectives are to gain competitive edge via superior customer service and to reduce costs through efficient procurement, production and delivery systems. Supply chain management encompasses a wide range of activities — from strategic activities, such as capacity expansion or consolidation, make/buy decisions and initiation of supplier contracts, to tactical activities, such as production, procurement and logistics planning, to, finally, operational activities, such as operations scheduling and release decisions, batch sizing and issuing of purchase orders.
- TR 2:20 p.m.-3:50 p.m.
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Instructor:
Awi Federgruen
Wikipedia Info - 3 points
Revenue and Supply Chain Management
Supply chain management entails managing the flow of goods and information through a production or distribution network to ensure that the right goods are delivered to the right place in the right quantity at the right time. Two primary objectives are to gain competitive edge via superior customer service and to reduce costs through efficient procurement, production and delivery systems. Supply chain management encompasses a wide range of activities — from strategic activities, such as capacity expansion or consolidation, make/buy decisions and initiation of supplier contracts, to tactical activities, such as production, procurement and logistics planning, to, finally, operational activities, such as operations scheduling and release decisions, batch sizing and issuing of purchase orders.
Game-Theoretic Business Strategy
GAME-THEORETIC BUSINESS S
This course is an introductory business-strategy course designed for analytically-oriented graduate students, particularly students in the joint Business School-IEOR programs. The course has three objectives.:
1 - Provide you with the economic theory to understand why a given company is (or is not) profitable. (For potential entrepreneurs, this theory becomes a tool to assess whether your proposed venture will be profitable in a competitive environment.)
2 - Provide you with perspectives for assessing the sustainability of a given company’s profitability. We will place special emphasis on understanding and evaluating the key assumptions and judgments underpinning your assessments. The course includes historical cases of managing a changing business environment.
3 - Enable you to identify the substantive issues behind the trends and frameworks in the strategy field.
- M 9 a.m.-12:15 p.m.
- R 2:20 p.m.-5:35 p.m.
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Instructor:
Harborne Stuart
h-index: 10 Info - 3 points
Applied Regression Analysis
The goal of this course is to provide students with practical experience in building and analyzing regression models to address business problems.
The course picks up where the core course in Managerial Statistics left off. We will begin with a brief review of regression analysis as covered in the core and then move on to new topics, including model selection, interaction effects, nonlinear effects, classification problems, and forecasting.
All material will be covered through examples, exercises, and cases. In addition, students will work in groups on a final project of their choosing. The goal of the project is to address a specific business problem through statistical analysis.
- R 9 a.m.-12:15 p.m.
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Instructor:
David Juran
Info - 1.5 points
Leading Sustainable Supply Chains and Op
Leading Sust Supply Chain
The importance of designing, building, and leading sustainable organizations is indisputable. Sustainability encompasses not only the environmental footprint of an organization but also the way in which firms treat workers and customers both within their firm and supply chain network. Understanding the role of operational excellence and strategic supply chain management in achieving sustainability is critical for effective leadership.
This course examines a variety of approaches to designing sustainability into an organization’s operations and how to measure and reduce a firm’s operational environmental impact. We also explore themes of risk, accountability, and sustainability within global supply chains. What challenges do firms face in being socially responsible when managing globally distributed supply chains? Three themes comprise this course: (1) designing sustainable operations, (2) drivers and consequences of sustainability, and (3) global sourcing and social responsibility.
• Designing Sustainable Operations. Sample cases include – REI Rentals, All Birds, IndigoAg, Supply Chain Hubs in Humanitarian Logistics.
• Drivers and Consequences of Sustainability. Sample cases include – Fiji Water, Aspen Ski Company.
• Global Sourcing & Social Responsibility. Sample cases include – IKEA, Ready Made Garment Industry, Roche & Tamiflu.
- R 2:20 p.m.-5:35 p.m.
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Instructor:
Nicole Dehoratius
Info - 1.5 points
DIGITAL LITERACY-DECISION MKRS
COURSE DESCRIPTION
Unrelenting technological progress demands entrepreneurs, executives, and managers to continually upgrade their skills in the pursuit of emerging opportunities. As “software eats the world”, executives from all industries are increasingly called upon to be “Full Stack”: capable of making competent decisions across domains as diverse as digital technology, design, product, and marketing.
In this course, we begin with primers on code, design, and product management. Once the foundation is laid, we examine the best practices for building great products and exceptional teams. We conclude with an overview of how technology is changing the way products are marketed, distributed, and monetized. Our goal is to equip “non-technical” executives with the terminology, tools, and context required to effect change in a software and internet-driven world.
COURSE LEARNING OBJECTIVES
To provide an understanding of the technologies that we encounter everyday, and how history can inform the technology decisions executives face today.
To become familiar the concepts that underpin modern computer programming, empowering managers to engage with engineers credibly and confidently.
To shed light on the processes and tools designers use to solve user-facing design and architecture challenges.
To clarify what product managers do, walk through the nitty-gritty of managing software development, and equip executives with the best practices for evaluating and improving their products.
To prepare managers to identify, recruit, and nurture the technical talent they will need to succeed in today’s highly competitive labor market.
To familiarize students with the dynamic context in which technology products live, ensuring the profitable and widespread delivery of those products.
- T 9 a.m.-12:15 p.m.
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Instructor:
Marco A Morales Barba
Info - 1.5 points
Web App Programming in Python
A Web App is application software that runs remotely on a server on the world wide web and is delivered locally to users on their browsers. The application consists, broadly speaking, of three main software layers. A presentation layer delivered to the browser using HTML and JavaScript (or other browser compatible scripting language). An application layer, usually written in a scripting language like Python, that resides on the remote server and encapsulates the logic (“smarts”) of the app. And a database layer where application data is stored.
Since the advent of the web and web browsers, web apps have become the single most important means of b2c and b2b communication and the goal of this class is to give you a working knowledge of what it takes to assemble the three layers into a web app. We will learn the basics of JavaScript and HTML and will use the python-based web framework, Django, to build an application. About 50% of the class time will be devoted to a group project where you will, in small groups, build a web app (assisted by TAs) that you will present to the class at the end of the week. While the course is programming heavy (though we will, briefly, review the basics of Python, some prior exposure to Python is necessary) the focus is on understanding what goes into building web applications and thinking creatively about your app rather than on mere technical perfection.
STUDENTS WILL NEED TO COMPLETE AN INTRODUCTORY PYTHON CLASS (https://courseworks2.columbia.edu/courses/152704) OR PASS THE BASIC PYTHON QUALIFICATION EXAM (https://www8.gsb.columbia.edu/courses/python#basic_qual) BEFORE THE FIRST DAY OF CLASS. SEE gsb.columbia.edu/courses/python FOR DETAILS
- TWRFS 9 a.m.-5 p.m.
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Instructor:
Paul Bulkley-Logston
Info - 3 points
Healthcare Venture Capital And Private E
Healthcare Venture Cap &
This course analyzes the unique characteristics and strategies of investing in the healthcare sector from the perspectives of venture capital firms investing in early-stage healthcare enterprises, entrepreneurs creating and managing such business entities, and private equity firms seeking to build value-creating health care platforms. The course is focused on innovative business models of early to mid-stage healthcare services companies (payers, providers, HCIT firms) that improve quality of patient care, lower costs, and facilitate access to such services, as well as the opportunities and challenges of early-stage biotechnology companies discovering and developing novel compounds. It considers how investors and entrepreneurs can assess, value and manage the inherent risks to succeed in this large, complex, and dynamic sector. This course will address these issues through a mixture of lectures, case studies, and guest speakers (investors and entrepreneurs) from the healthcare sector. Note: Some understanding and prior experience in the healthcare/pharma industry will be highly useful. Students need to attend the first class session to understand material covered later in the course. Evaluation is 25% class participation, 25% mid-term assignment (short paper on questions or case study), and 50% final (individual) paper. "
- M 2:20 p.m.-5:35 p.m.
- 1.5 points
Intro to Databases for Busines
We don’t think about databases much, right? At least not when they’re working right. But they’re all around us. They’re in every product we use. And when they don’t work (think about the iCloud, LinkedIn, or Ashley Madison data breaches in which hundreds of millions of emails and passwords were exposed) the consequences can be extreme.
Every modern company stores their data in a database (it’s like a really big version of Excel), and if you want to analyze the data, you may be expected to know how to access it yourself. In fact, at many companies are requiring even their business leaders to have an understanding of databases. At the very least, knowing how to set up and interact with databases will improve your ability to GSD (get stuff done), strengthen your understanding of how technology works, and make you less of a pain for developers to work with.
In this class, we’ll explore basic SQL (the most common database language) for business analytics. At the end of the course, students should have a deeper understanding of how databases work, how they fit into the general technology stack, how to connect to databases, and know how to browse and exporting data from databases.
- R 4:10 p.m.-5:40 p.m.
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Instructor:
Mattan Griffel
Info - 1.5 points
Foundations of AI for Business
- M 9 a.m.-12:15 p.m.
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Instructor:
Hongseok Namkoong
h-index: 11 Info - 1.5 points
Applying Healthcare IT and Digital Healt
Apply Healthcare IT & Dig
- W 2:20 p.m.-5:35 p.m.
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Instructor:
Raymond G Falci
Info - 1.5 points
The Analytics Advantage
This class will focus on how analytics have generated value in a broad range of industries. Each class will be taught by a different faculty member with specific subject matter expertise and will focus on one specific industry and on how it has been transformed through the use of analytics.
DROMB8152
- M 9 a.m.-12:15 p.m.
- M 2:20 p.m.-5:35 p.m.
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Instructor:
Charles R Guetta
Info - 1.5 points
Python for MBAs
From the ads that track us to the maps that guide us, the twenty-first century runs on code. The business world is no different. Programming has become one of the fastest-growing topics at business schools around the world. This course is an introduction to business uses of Python for MBA students. In this course, well be learning how to write Python code that automates tedious tasks, parses and analyzes large data sets, interact with APIs, and scrapes websites. This might be one of the most useful classes you ever take. Required Course Material Students must have a laptop that they can bring to class - Mac or PC is fine, as long as your operating system is up to date (at least Windows 10 and Mac OS 11). This course does not require a textbook. (Optional Reading: Python for MBAs, Griffel and Guetta) Any required readings will be provided via Canvas. Slides and files will be uploaded to Canvas after each class.
Students will need to complete an introductory Python class (https://courseworks2.columbia.edu/courses/152704) and pass the Basic Python Qualification exam (https://www8.gsb.columbia.edu/courses/python#basic_qual) before the first day of classes.
- R 6 p.m.-9:15 p.m.
- T 2:20 p.m.-5:35 p.m.
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Instructor:
David L Bendes
Info -
Instructor:
Mattan Griffel
Info - 1.5 points
Digital Marketplaces
This course will cover some of the fundamental product decisions together with the basic analytic and data science tools to support them that are currently being used to run the most exciting online marketplaces in the world. More specifically, among others, we will address the following questions: How does Uber or Lyft match drivers to passengers? How does Airbnb select the set of listings to show to a guest in a search? How can we build an algorithmic, scalable reputation and trust system in an e-commerce platform such as Amazon? How should advertisers optimize their decisions in today’s online advertising marketplaces run by Google and others?
Verticals of interest include the following:
• Matching platforms like those for ride-hailing, lodging, dating, labor, and food delivery.
• Internet advertising platforms including search engine advertising, display advertising, and sponsored products.
• Retail platforms including those for physical goods like Amazon, Etsy, and possibly also those for virtual goods like the App Store/Play Store and gaming platforms.
- T 6 p.m.-9:15 p.m.
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Instructor:
Yashodhan Kanoria
h-index: 18 Info - 1.5 points
(PhD) Foundations of Stochasti
This course covers basic concepts and methods in applied probability and stochastic modeling. The intended audience is master's and doctoral students in programs such as EE, CS, IEOR, Statistics, Mathematics, and those in the DRO division in the Business School. In terms of prerequisites, basic familiarity with probability theory and stochastic processes will be assumed (an ideal preliminary course is IEOR 6711: Stochastic Modeling I, but a more basic substitute will do as well). The topics and material covered in this course complement those covered in IEOR 6712: Stochastic Modeling II, hence the two courses can be taken simultaneously. The exposition will be (mostly) rigorous, yet intentionally skirting some measure-theoretic details; for those interested in such details they can be found in measure theoretic textbooks and other courses (e.g., Probability Theory I/II given in the statistics/math department).
- W 9 a.m.-12:15 p.m.
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Instructor:
Assaf Zeevi
h-index: 40 Info - 5 points
(DRO) Topics Seminar
The purpose of the course is to broadly cover topics in Operations Management and Operations Research, as well as areas of interest to the Decision, Risk, and Operations division at CBS. It will consist of 3-hour sessions, each on a different topic, with the intent to introduce you to the topic, pique your interest, expose you to the methodologies and research areas people are working on, and help you think about what types of courses to take in the future in order to prepare yourself for this course. We will ask students to submit a one-page summary of each session or a particular paper discussed in the session. PhD students are invited to take the course and/or select certain sessions to attend. Spring 2022 Faculty instructors (each teaching one session) will be Mark Broadie, Paul Glasserman, Fanyin Zheng, Jing Dong, Will Ma, Hongyao Ma.
- M 2:20 p.m.-5:35 p.m.
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Instructor:
Yashodhan Kanoria
h-index: 18 Info - 1.5 points