Capstone One Portfolio

• Department: Rehabilitation Medicine (RMED)
• Instructor: Dawn Nilsen
  Info
• Instructor: Julia Guzman
  Info
• Instructor: Razan Hamed
  h-index: 8 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.

• Department: Decision, Risk and Operations
• MW noon-1:30 p.m.
• Instructor: Awi Federgruen
  Wikipedia Info
• 3 points

STATISTICAL INFERENCE

Prerequisite: Public Health P8104. Suggested preparation: P6104, P8104 and working knowledge of calculus, population parameters, sufficient statistics. Basic distribution theory. Point and interval estimation. Method of maximum likelihood. Method of least squares regression. Introduction to the theory of hypothesis testing. Likelihood ration tests. Nonparametric procedures. Statistical design theory.

• Department: Biostatistics
• M 1 p.m.-3:50 p.m.
• Instructor: Prakash Gorroochurn
  Info
• 3 points

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.

• Department: Decision, Risk and Operations
• MW 8:30 a.m.-10 a.m.
• MW 10:20 a.m.-11:50 a.m.
• Instructor: Will Ma
  Info
• 3 points

APPLIED REGRESSION II

Prerequisite: Public Health P6104, P8100 and a working knowledge of calculus. An introduction to the application of statistical methods in survival analysis, generalized linear models, and design of experiments. Estimation and comparison of survival curves, regression models for survival data, log-linear models, logit models, analysis of repeated measurements, and the analysis of data from blocked and split-plot experiments. Examples drawn from the health sciences.

• Department: Biostatistics
• MF 10 a.m.-11:20 a.m.
• Instructor: Patrick D Hilden
  Info
• 3 points

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.

• Department: Decision, Risk and Operations
• M 2 p.m.-5:15 p.m.
• Instructor: Harborne Stuart
  h-index: 10 Info
• 3 points

TV PILOT: COMEDY & DRAMA

With the pilot as a focal point, this course explores the opportunities and challenges of telling and sustaining a serialized story over a protracted period of time with an emphasis on the creation, borne out of character, of the quintessential premise and the ongoing conflict, be it thematic or literal, behind a successful series.

Early in the semester, students may be required to present/pitch their series idea. During the subsequent weeks, students will learn the process of pitching, outlining, and writing a television pilot, that may include story breaking, beat-sheets or story outline, full outlines, and the execution of either a thirty-minute or hour-long teleplay. This seminar may include reading pages and giving notes based on the instructor but may also solely focus on the individual process of the writer.  


Students may only enroll in one TV Writing workshop per semester.

• Department: Film
• M 10 a.m.-1 p.m.
• R 2 p.m.-5 p.m.
• R 10 a.m.-1 p.m.
• F 10 a.m.-1 p.m.
• R 10 a.m.-1 p.m.
• Instructor: David Klass
  Info
• Instructor: Benjamin Robbins
  Info
• Instructor: Alice O'Neill
  Info
• Instructor: Emily Hornsby
  Info
• Instructor: Michele Palermo
  Wikipedia Info
• 3 points

SCENE STUDY

SCENE STUDY: ACTORS

• Department: Theatre Arts
• F 10 a.m.-12:50 p.m.
• Instructor: Peter Fernandez
  Wikipedia Info
• 3 points

MEDICAL SCREENING I

This intensive course during the first semester of the DPT curriculum provides students with detailed coverage of human anatomy through lecture and cadaver dissection. The focus of the course is on structure and the integral relationship between structure and function. A comprehensive understanding of normal structure and function provides the foundation for understanding abnormal structure and function. Both the lecture and laboratory components of the course are critical to success in the program and as a competent entry-level clinician. Using a patient case-based approach this course will emphasize utilizing clinical decision making/differential diagnosis skills effectively and efficiently related to the concept of threshold detection to identify impairments or “red flags” in medical screening that warrant referral to other professionals. While they establish examination schemes, students will evaluate patient data in order to select the next-best history question to ask, or the next-best physical examination procedure to help rule out potential pathological processes. Existing medical screening guidelines will be reviewed and applied to the various cases-illustrating appropriate use of the guidelines and also potential limitations. Professional communication skills and strategies with patient/clients and physicians will be applied and practiced throughout course.

• Department: Physical Therapy
• 2 points

WRITING FOR PUBLICATION

• Department: Rehabilitation Medicine (RMED)
• Instructor: Razan Hamed
  h-index: 8 Info
• 2 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.

• Department: Decision, Risk and Operations
• R 8:30 a.m.-11:45 a.m.
• Instructor: David Juran
  Info
• 1.5 points

SEM-NEGOTIATION WORKSHOP

This is a Law School course. For more detailed course information, please go to the Law School Curriculum Guide at: http://www.law.columbia.edu/courses/search

• Department: Law
• F 10 a.m.-1 p.m.
• R 6:20 p.m.-9:10 p.m.
• F 10 a.m.-1 p.m.
• 3 points

Risk Management

• Department: Decision, Risk and Operations
• MW 6 p.m.-7:30 p.m.
• Instructor: Evan C Picoult
  Info
• 3 points

S ADV NEGIATION WORKSHOP

course decription

• Department: Law
• W 6:20 p.m.-9:10 p.m.
• Instructor: David Ross
  Info
• 3 points

ANALYSIS OF CATEGORICAL DATA

This is a Public Health Course. Public Health classes are offered on the Health Services Campus at 168th Street. For more detailed course information, please go to Mailman School of Public Health Courses website at http://www.mailman.hs.columbia.edu/academics/courses

• Department: Biostatistics
• MR 4 p.m.-5:20 p.m.
• Instructor: Kay See Tan
  Info
• 3 points

Accounting for Consultants

This elective course covers accounting tools useful to consultants, as well as for students with an interest in a firm’s finance function, general management, or private equity.
There will be a particular focus on performance measurement and management.
Performance measurement is a key determinant of success for today’s companies that sell a wide range of products and services to a wide range of customers differentiated in their needs. While financial accounting (GAAP) information is a useful shortcut toward gaining some understanding of a firm’s financial health, consultants and managers need a more solid understanding of the firm’s strategy and mission, as well as disaggregated information that helps assess how the firm is performing along its strategic objectives.
There is overlap between this course and the half-semester course “Financial Planning & Analysis (FP&A)” course. This course expands on many of the concepts taught in FP&A and supplements them with industry insights and guest speakers. For this reason, this course is mutually exclusive with the elective course “B8007 – Financial Planning & Analysis”. If you have taken FP&A, you will not be able to enroll in this course for credit. Please contact me immediately in case of such a conflict.
The following specific topics will be addressed:
• Profitability analysis to assess individual products
• Customer relationship management using customer lifetime value (CLV)
• Budgeting and variances
• Performance evaluation for profit centers and investment centers
• Performance-based pay: team incentives, relative performance evaluation, etc.
• Corporate governance: the C-suite and the role of compensation consultants
• The “War of Metrics”: Cash Flow, EVA, Balanced Scorecards, etc.
• Innovative ways to deviate from GAAP rules to better measure value creation
• Issues specific to multinational enterprises (MNEs), e.g., taxation
• Industry-specific insights: performance measurement in key industries

• Department: Accounting (ACCT)
• MW 8:30 a.m.-11:45 a.m.
• Instructor: Tim Baldenius
  Info
• 3 points

S. Latino/as and Civil Rights Law

S. Latino/as & Civ Rights

• Department: Law
• W 4:20 p.m.-6:10 p.m.
• 2 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.

• Department: Decision, Risk and Operations
• M 6 p.m.-9:15 p.m.
• 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

• Department: Decision, Risk and Operations
• TWRFS 9 a.m.-5 p.m.
• Instructor: Hardeep Johar
  Info
• 3 points

KINESIOLOGY & BIOMECHANICS II

Biomechanics

This is the second in a series of Kinesiology and Biomechanics courses in which the study of normal human motion is continued in greater depth with an emphasis on solving clinical biomechanics problems and introductory gait analysis. Although this course is part of the foundational sciences, students will begin to integrate this material with clinical cases and scenarios. Lectures are combined with team-based learning activities and out of classassignments in order to promote collaboration, higher-order thinking skills and affective behaviors required in the clinic.

• Department: Physical Therapy
• 3 points

S INTL ARBITRATION IN LAT AMER

• Department: Law
• W 4:20 p.m.-6:10 p.m.
• Instructor: Alejandro M Garro
  Info
• 2 points

Healthcare Investment and Entr

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. "

• Department: Decision, Risk and Operations
• M 2 p.m.-5:15 p.m.
• 1.5 points

CHEMISTRY OF NANOCRYSTALS

This course will provide a discussion of the thermodynamics and kinetics of colloidal crystallization and stabilization, the physical properties of quantum confined semiconductor and metal nanocrystals, methods of nanocrystal characterization, and examples of nanocrystals in technological applications. Prospective students should be familiar with basic principles of quantum mechanics, thermodynamics of phase transitions, and inorganic chemistry - particularly molecular orbital theory. Undergraduate students interested in this course should obtain approval from the instructor prior to registering.

• Department: Chemistry
• TR 11:40 a.m.-12:55 p.m.
• Instructor: Jonathan S Owen
  CULPA: 7 h-index: 40 Info
• 2.5 points

MOVEMENT SCIENCE

This course adds to the basic science curriculum while beginning the process of translation to clinical practice. Psychological literature of skill acquisition is integrated with neuroscience and biomechanics literature of motor control. Beginning application to clinical practice is emphasized.  Conceptual framework of movement science, including normal motor control, and skill acquisition will be formulated. Principles of motor control, including neurophysiological, biomechanical and behavioral levels of analysis are discussed. An analysisof postural control, locomotion and reach and grasp will be conducted. Principles of motorlearning, including learning and practice variables are analyzed.

• Department: Physical Therapy
• 2 points

BIOSTATISTICAL METHODS II

• Department: Biostatistics
• F 1 p.m.-3:50 p.m.
• Instructor: Bin Cheng
  h-index: 32 Info
• 3 points

THE JEWISH BOOK IN EARLY MOD WORLD

This course will situate the Jewish book within the context of the theoretical and historical literature on the history of the book: notions of orality and literacy, text and material platform, authors and readers, print and manuscript, language and gender, the book trade and its role in the circulation of people and ideas in the early age of print.

• Department: History
• T 12:10 p.m.-2 p.m.
• Instructor: Elisheva Carlebach
  CULPA: 6 Wikipedia Info
• 4 points

S ADV INTER COMM ARBITRATION

• Department: Law
• W 4:20 p.m.-6:10 p.m.
• Instructor: Robert H Smit
  CULPA: 13 Info
• 2 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.

• Department: Decision, Risk and Operations
• R 3:50 p.m.-5:20 p.m.
• R 6 p.m.-7:30 p.m.
• Instructor: Mattan Griffel
  Info
• 1.5 points

S. INTERNATIONAL BANKING AND F

• Department: Law
• F 1:40 p.m.-3:30 p.m.
• Instructor: Georges Ugeux
  Wikipedia Info
• 2 points

STATISTICAL GENETIC MODELING

Prerequisites: At least one course each in probability and genetics and the instructors permission. The theoretical foundations underlying the models and techniques used in mathematical genetics and genetic epidemiology. Use and interpretation of likelihood methods; formulation of mathematical models; segregation analysis; ascertainment bias; linkage analysis; genetic heterogeneity; and complex genetic models. Lectures, discussions, homework problems, and a final examination.

• Department: Biostatistics
• T 1 p.m.-3:50 p.m.
• Instructor: Shuang Wang
  Info
• 3 points

Data Analytics in Python

The collection, interpretation, and analysis of data has always been a central pillar of business decision making. Historically, this has followed a two step process, statisticians gather data, organize it, run analytics and prepare reports. At some future point, a decision maker examines these reports, interprets the results and makes decisions. However, with the advent of powerful and inexpensive computing platforms, the collection and analysis of data has moved into the continuous decision making cycle itself, with decisions being constantly updated as new data is instantly analyzed and acted upon. Consequently, decision makers can no longer isolate themselves from the grungy side of data and they need to know where the data originated, how it was transformed, what is the nature, the strengths and the limitations of the analytical techniques used. Today, to be effective, decision makers need an intuitive understanding of the statistics, the math, and the programming that underlie this “live” analytical and decision making process.
The objective of this course is to give you an understanding of the analytical side of the decision making cycle, focusing on programming as the element that “glues” the collection, transformation, visualization, and analysis of data. We will see how to get data from common sources (APIs, web scraping), examine the rudiments of data visualization (charts, maps), and get an intuitive understanding of the types of analytical tools in use today (machine learning, deep learning, analysis of networks, analyzing natural language texts).
With its extensive collection of libraries, Python is fast becoming the platform of choice for data analytics so Python will be our language for this course. The course is very hands on, and you should expect a lot of programming work, all of it fairly intense. A basic understanding of how to write programs in Python is therefore a must for this class. But, the primary takeaway from the course is not the programming but rather an understanding of the mechanics, the vocabulary, and the techniques in data analytics. Even if you find programming a frustrating and head banging exercise, you can get a lot out of the class (if you’re willing to suffer a bit!).
STUDENTS WILL NEED TO EITHER HAVE PASSED B8154 (PYTHON FOR MBAS) OR THE ADVANCED PYTHON QUALIFICATION EXAM (https://www8.gsb.columbia.edu/courses/python#advanced_qual) BEFORE THE FIRST DAY OF CLASS

• Department: Decision, Risk and Operations
• T 2 p.m.-5:15 p.m.
• Instructor: Hardeep Johar
  Info
• 3 points

INTRO TO RAND CLINICAL TRIALS

Prerequisite: Public Health P6104 or the equivalent. Fundamental methods and concepts of the randomized clinical trial; protocol development, randomization, blindedness, patient recruitment, informed consent, compliance, sample size determination, cross-overs, collaborative trials. Each student prepares and submits the protocol for a real or hypothetical clinical trial.

• Department: Biostatistics
• W 1 p.m.-3:50 p.m.
• Instructor: John L Thompson
  h-index: 61 Info
• 3 points

ACTING IV

TBD

• Department: Theatre Arts
• MW 2:10 p.m.-5 p.m.
• Instructor: Peter Fernandez
  Wikipedia Info
• 3 points

PHARMACEUTICAL STATISTICS

• Department: Biostatistics
• T 2:30 p.m.-5:20 p.m.
• Instructor: Naitee Ting
  Info
• 3 points

Healthcare IT Principles and O

• Department: Decision, Risk and Operations
• W 2 p.m.-5:15 p.m.
• 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

• Department: Decision, Risk and Operations
• T 8:30 a.m.-11:45 a.m.
• T 2 p.m.-5:15 p.m.
• Instructor: Ciamac Moallemi
  h-index: 24 Info
• 1.5 points

Persons, States, Corporations

In a discipline with few uncontested assumptions, most political scientists are committed to some form of methodological individualism, namely the idea that “nothing but individual opportunities, beliefs, and motivations can enter into the explanation of… behavior.” (Elster 1985: 137) And yet, the idea that various sorts of collectives like states, nations, firms, and parties (or even civilizations) display a unitary identity and exercise autonomous agency comparable is pervasive in political science and everyday discourse. Are there analytically cogent reasons for treating groups, states, and other organizations as agents capable of intention and will, as having cognitive and emotional states? Or is this evidence of intellectual laziness or (gasp!) reliance on tacit metaphysical premises? When we talk about states as displaying fear and distrust, ascribe responsibility to nations for injustices committed generations ago, declaim the self-determination rights of colonized peoples, or hold corporations accountable for crimes, do we assume that these collectives are superorganisms with minds of their own, or do we simply engage in metaphorical (“as if”) thinking? Which attributes must collectives possess in order to be treated as subjects: intentionality, personhood, agency, rationality, moral status...? Do these attributes justify ascribing certain rights and duties to them? Are collectives more than the sum of their members or reducible to them? Should we treat organized collectives like corporations as mini-states or as individuals writ large? Is there anything distinctive about the state or is it simply one form of association? Are state and individual the only analytical and normative templates available to political theory? These are among the vexing questions to which this graduate colloquium in political theory will seek to provide systematic answers.

• Department: Political Science
• R 2:10 p.m.-4 p.m.
• Instructor: Turkuler Isiksel
  CULPA: 3 h-index: 9 Info
• 4 points

ACTING TECHNIQUES

ACTING FOR CAMERA

• Department: Theatre Arts
• T 2:10 p.m.-5 p.m.
• Instructor: James Calleri
  Info
• 0-3 points

Readings in African Masculinities

Readings/African Masculin

Several generations of rich and varied scholarship on gender in Africa has been key to transforming our understanding of families, communities and power.  Yet by and large gender has remained largely synonymous with women.  Scholars note the importance of gender as a relational construct, but the rich empirical exploration of gendered relations and formations have tended to focus largely on women and girls. In this seminar we read and theorize the construction of masculinities on the continent. Readings provide and introduction to some of the key texts and historiographical trends in this field over the past 30 years.

In addition to providing students with the opportunity to familiarize themselves with key literatures on masculinities and the social, economic, political and cultural forces that have shaped and transformed them on the African continent, the course also provides students with the opportunity to delve into a cache of primary sources and produce the first draft of an original research paper. Students can analyze representations of masculinities in a piece of literature, film or art, or explore their changing social constructions utilizing newspapers, colonial documents, missionary archives or other primary sources.  If utilizing primary sources, the aim is to produce a paper of 10-12 pages that might serve as a draft for a conference paper. Students may also opt to produce a lengthier (15-20 page) historiographical essay on a theme of interest, or a paper situating a sub-set of Africanist scholarship within a wider and broader theoretical field.  

Course Requirements
: A lively seminar is dependent on your
active and consistent participation
.  You are expected to come to each class and to arrive with a firm grasp of the week’s assigned texts and list of questions/issues you would like to discuss.  We will take turns leading discussion, but each week you should come prepared with a list of issues/questions you would like to discuss.

• Department: Middle Eastern, South Asian and African Studies
• T 2:10 p.m.-4 p.m.
• Instructor: Laura Fair
  h-index: 15 Info
• 4 points

People Analytics: Creating Business Valu

• Department: Decision, Risk and Operations
• W 6 p.m.-9 p.m.
• Instructor: Neha Shah
  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.

• Department: Decision, Risk and Operations
• F 5:30 p.m.-8:30 p.m.
• 1.5 points

LATENT-VAR-STRUC EQUATION MODL

• Department: Biostatistics
• W 8:30 a.m.-11:20 a.m.
• Instructor: Melanie Wall
  Wikipedia h-index: 101 Info
• 3 points

TPCS IN ADVNCD STAT COMPUTING

• Department: Biostatistics
• M 8:30 a.m.-11:20 a.m.
• Instructor: Ying Wei
  Wikipedia Info
• 3 points

S DRAFT NEGOTIATE INTEL PRO DOC

• Department: Law
• W 7:20 p.m.-9:10 p.m.
• Instructor: Mavis K Fowler
  Info
• 2 points

INTEGRATIVE CAPSTONE EXPERIENCE

In this course students will synthetize knowledge from the core with knowledge from both specific department required courses and from certificate required courses. The course deliverable is a written paper combining analyses of a student’s selected data set that uses two of the following methods: (linear regression, logistic regression, nonlinear modeling, mixed effect modeling, machine learning, survival analyses). Students will demonstrate understanding of summarizing (numerically and graphically) data for purposes of specific analyses, presenting results, and interpreting them in the context of public health. Finally, students will also demonstrate the ability to present various stages of the analyses, to ask questions in large collaborative settings, and to troubleshoot their work.

• Department: Biostatistics
• W 2 p.m.-3:50 p.m.
• Instructor: Martina Pavlicova
  h-index: 30 Info
• 2 points

RELATIONAL DATABASES AND SQL PROGRAMMING

Prerequisites: Public Health P6104. Introduction to the principles of research data management and other aspects of data coordination using structured, computer-based exercises. Targeted to students with varying backgrounds and interests: (1) established and prospective investigators, scientists, and project leaders who want to gain a better understanding of the principles of data management to improve the organization of their own research, make informed decisions in assembling a data management team, and improve their ability to communicate with programmers and data analysts; and (2) students considering a career in data management, data analysis, or the administration of a data coordinating center.

• Department: Biostatistics
• T 5:30 p.m.-8:20 p.m.
• W 5:30 p.m.-8:20 p.m.
• Instructor: Jile An
  Info
• Instructor: Charlene Thomas
  Wikipedia Info
• 3 points

SEMINAR DEALS LITIGATION

• Department: Law
• M 6:20 p.m.-8:10 p.m.
• 2 points

CAPSTONE CONSULTING SEMINAR

• Department: Biostatistics
• T 1 p.m.-1:50 p.m.
• T 2 p.m.-2:50 p.m.
• W 1 p.m.-1:50 p.m.
• W 2 p.m.-2:50 p.m.
• Instructor: Shing M Lee
  Info
• 1 points

S PRE-TRIAL COMMERCIAL LITGTN

• Department: Law
• W 6:20 p.m.-8:10 p.m.
• 2 points

S. Intellectual Property Transactions Wo

S. IP Transactions Worksh

• Department: Law
• M 6:20 p.m.-8:10 p.m.
• 2 points

Climate Change and the Energy Transition

Climate Change & Energy

For better or worse, climate change is already affecting American and global business. Some industries will be transformed by climate change and the policies that respond to it. For example, the coal industry, a mainstay of advanced economies since the start of the industrial revolution, is already collapsing. The oil and gas industry will be radically transformed and reduced in scale. The automobile industry will be transformed, with the growth of electric vehicles leading to the entry of new players in both vehicle production and component production for the first time in half a century. Construction and real estate will also be transformed. Tourism and many other leisure activities will undergo profound changes, and agriculture is already experiencing major challenges. This course will provide a framework for thinking about climate change and its consequences for business. The perspective taken will be that of senior executives or CEOs in industries affected by climate change. The course is intended for students who are interested in consulting careers, who are likely to encounter these issues as they move between companies and industries. It is also relevant for students interested in corporate strategy, which in many cases will be affected by the issues in the course. And for students going into fund management, who will need to think about the challenges that climate will pose for the firms that they invest in and to analyze which companies will be well-placed to cope with these. The course is also relevant for students interested in impact investing, green investing/SRI, and careers that have a direct relationship to environmental issues. It will also be of relevance to those seeking careers in the investment, consulting, or even general management area, where there will be issues relative to a firms or investor's social-responsibility, or to project choice in the face of environmental impacts, that even mid-level managers will have to worry about.

• Department: Business Economics
• M 8:30 a.m.-11:45 a.m.
• Instructor: Gernot Wagner
  Wikipedia Info
• 1.5 points

Financial Management

The course provides an introduction to budgeting and financial control as a means of influencing the behavior of public organizations. Concepts include the budget process and taxation, intergovernmental revenues, municipal finance, bonds, control of expenditures, purchasing, debt management, productivity enhancement, and nonprofit finance. Students learn about the fiscal problems that managers typically face, and how they seek to address them. Students also gain experience in conducting financial analysis and facility with spreadsheet programs. Case materials utilize earth systems issues as well as other policy issues. A computer lab section is an essential aspect of the course, as it teaches students to use spreadsheet software to perform practical exercises regarding the budgeting and financial management of a hypothetical state environmental agency.

• Department: International and Public Affairs
• M 6:10 p.m.-8 p.m.
• R 6:10 p.m.-8 p.m.
• Instructor: Rebecca E Koike
  Info
• 3 points

Critical Read of Biological Clinical Lit

Fall: Review of current literature providing complementary information pertinent to other nutrition areas, with a view to developing a critical approach to the assimilation of scientific information. Spring: Obesity: Etiology, Prevention, and Treatment. Controversies involving regulation of weight and energy balance. Interaction between genetics and the environment are considered as well as clinical implications of our current knowledge.

• Department: Human Nutrition, Institute of
• Instructor: Rajasekhar Ramakrishnan
  Info
• 3 points

Theoretical Statistics

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• Department: Statistics
• T 3 p.m.-5:20 p.m.
• Instructor: Samory Kpotufe
  CULPA: 2 Info
• 3 points

Theoretical Statistics

TOPICS IN THEORETICAL STAT

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• Department: Statistics
• W 4 p.m.-6 p.m.
• Instructor: Bodhisattva Sen
  h-index: 24 Info
• 3 points

S ROLE OF INSIDE COUNSEL

• Department: Law
• TR 10:35 a.m.-12:05 p.m.
• 1 points

OBESITY:ETIOLOGY,PREVENT,TREATMNT

• Department: Human Nutrition, Institute of
• Instructor: Ari Shechter
  CULPA: 2 h-index: 23 Info
• 2 points

Strategy for Health Policy

Strategic concepts and frameworks are necessary components of analytic thinking for students working in domestic and global health policy, healthcare and health systems. This course will address the intersection of health policy and strategy. Class sessions will consider how policy decisions and potential regulations impact an organization as well as questions related to strategic planning.

• Department: Health Policy & Management
• W 1 p.m.-3:50 p.m.
• 1.5 points

Venture Capital: Funding Innovation in H

Venture capital has played a major role in shaping many of the innovations that form our modern society, ranging from the ideas that spawned the tech giants to life-saving medications. In recent years, there has also been an explosion of venture investment in new areas of healthcare – namely digital health and tech-enabled healthcare services.

 

This course aims to provide some insight into the world of venture capital through a healthcare lens. We will explore a range of topics, from fund formation, to identifying an investment target, to negotiating and closing an investment, to managing growth, to achieving an exit. One class will focus on what makes venture investment different in healthcare than in other industries. All along the way, we’ll look at some notable successes and failures to learn how venture capital can create enormous value, and where – and why – it has come up short.

 

The course will conclude with a VC pitch session to give students the experience of presenting their ideas to real venture investors. Students will work in groups to create and present their pitches and will learn what this experience is like for both entrepreneurs and investors. Afterwards, the investors will also discuss their experiences in the field and provide some insights to students from a career perspective.

• Department: Health Policy & Management
• W 1 p.m.-3:50 p.m.
• Instructor: Jonathan Gordon
  Info
• 1.5 points

Non-Profit Law, Taxation and Policy

NON-PROFIT LAW TAXATION P

See CLS Curriculum Guide

• Department: Law
• TR 1:20 p.m.-2:40 p.m.
• Instructor: David M Schizer
  Wikipedia Info
• 3 points

BIOCHEM-PHYSCL BASIS NUTRTN II

• Department: Human Nutrition, Institute of
• Instructor: Ruben A Igal
  Info
• 3 points

SEM IN PAINTING AND RELATED MEDIA

Paintings unfold only at the speed of your participation and like a body demand that you be there simply by being there, and like a body hold time. To build a sympathetic, critical, open practice, it is necessary to interrogate the status of your painting as an object in syntax: its individual material and gestural operations, how it means without you and within and against the architectures that hold it, its relationship to disciplinary history and to contemporary art, and extrapolating out to address systemic historical restrictions in access to discourse, markets, critical contexts, academic training, and sites of display (entrance and exhibition) constructed and enforced on economic, geographic, racist, sexist, homophobic, ableist and many other lines. If painting is to be entangled with the world and to be art it must be, a question for us is inside or outside. For whom, how. The object does not end unless it is destroyed, but to be art it must be in the light and who holds the light, how is the roof kept over the light, who might come. An object is not an image. An image is simply the surface of an event, like a lid. Infinitely reproducible, circulable, partial. For what. 

Painting is your big dead ardent self-loathing sign, but also a verb. The act of painting’s procedural foci of touch, response, immediacy, attention, scale, structure, care, and the pitting of wet materiality against hard-edged photographic image are otherwise useful for life. We will look at the act, at the space of the studio and the capacity to be alone with a public roaring on outside, at the metaphorical staging of griefs, furies, indigestions, inertias, habits, and rehearsals from their seedlings as desire to their efflorescence onto the plane of expression, with help from patron saints Yoko Ono, Georges Perec, Martin Buber, Yvonne Rainer, Emma Hauck, Kara Walker, Amy Sillman, Corita Kent, Martine Syms, TJ Clark, Herbert Marcuse (thesis advisor to Angela Davis!), Pope L., Jen Bervin, June Jordan, Kippenberger, Agnes Varda, Rilke, Vuillard, Norman Bryson, Judith Butler, Sontag, Barthes, Benjamin, Flusser, and many others who we either will read or not read but who will guide our feelings against flat, authenticating authority in hopes of some serious play, if not actual freedom. The act of painting takes place in time, and ends. It can and should be done without buying paint. All are welcome in this course. It is an expanded field.

In this course we will have white-wall crits, a weekly discussion of readi

• Department: Visual Arts
• W 1 p.m.-4 p.m.
• Instructor: Dana M Deguilio
  Info
• 3 points

INTEGRATIVE NUTRITION & PATHOPHYSIOLOGY

Prerequisite: registration as a nutrition degree candidate or instructors permission. Discussion of pathology, symptomatology, and clinical manifestations with case presentations when possible. Laboratory assessments of each condition. Principles of nutritional intervention for therapy and prevention.

• Department: Human Nutrition, Institute of
• 3 points

TOPICS IN GEOMETRIC ANALYSIS

Topics of linear and non-linear partial differential equations of second order, with particular emphasis to Elliptic and Parabolic equations and modern approaches.

• Department: Mathematics
• Instructor: Simon Brendle
  CULPA: 1 Wikipedia Info
• 4.5 points

BIOSTAT IN NUTR THRU CASE STDY

• Department: Human Nutrition, Institute of
• Instructor: Rajasekhar Ramakrishnan
  Info
• 3 points

The Untold Stories in US Health Policy H

Untld Stries US Hlth Pol

This course introduces students to persons of color whose impact on public health have largely been left out of US history. From African American physicians whose work has gone unnoticed to policy makers whose legacy has yet to be written, this course will review unsung heroes, their impact, the discrimination and structural racism they faced, and the work they left behind. Students will also engage in oral history projects highlighting the works of these policymakers.

• Department: Health Policy & Management
• R 5:30 p.m.-8:20 p.m.
• Instructor: Heather M Butts
  Info
• 1.5 points

PARTIAL DIFFERENTIAL EQUATIONS

Prerequisites: MATH GR8209 MATH G8209. Prerequisites: Math GR8209. Topics of linear and non-linear partial differential equations of second order, with particular emphasis to Elliptic and Parabolic equations and modern approaches.

• Department: Mathematics
• TR 11:40 a.m.-12:55 p.m.
• Instructor: Panagiota Daskalopoulos
  CULPA: 19 Wikipedia Info
• 4.5 points

The Digital Economy: Regulatory Conflict

This course covers a subject that is crucial for management success in the future: how government policy and regulation affect the online-based industry and its users, and how the industry in turn can affect government action. The skills needed to navigate this interaction are critical for managers in the emerging digital economy, as well as to forward-looking policy making. This course takes an innovative approach, bringing together several strands of the MBA program, together with public policy and technology management, and applies them to the online media and information sector. It aims to give students the MBA tools to run or use digital and online businesses in an environment full of government initiatives and restrictions. The course is valuable for future entrepreneurs, investors, creators, marketers, advertisers, users, and public officials.

• Department: Business Economics
• R 6 p.m.-9:15 p.m.
• 3 points

Race and Public Policy: Interpreting Sub

RACE AND PUBLIC POLICY

Racism in the United States may be, as often alleged, “systemic,” but it plays out sub-systemically—in distinct patterns in different policy arenas. The aim of this course is to examine the influence of racial considerations in the formulation and implementation of policies in five arenas: health care, housing, education, employment, and law enforcement. In each of the areas students will analyze the nature of policy challenges, the role(s) of race in defining and addressing them, and the requisites of and prospects for more equitable policies and outcomes. The course will feature lectures and class discussions.

• Department: Health Policy & Management
• T 1 p.m.-3:50 p.m.
• Instructor: Lawrence D Brown
  Info
• 1.5 points

Climate Policy

Climate change is the world’s most perfect public policy problem: it’s more global, more long-term, more uncertain, and more irreversible than most others. It stands alone in the combination of all four. That also turns it into the world’s most perfect global externality problem: the benefits of fossil-fuel use are internalized, the costs largely externalized. And while misguided market forces are the root cause of climate change, guiding them in the right direction is fundamental to the solution. In this course we explore the fast-changing global climate policy landscape shaping business. We explore the economic principles at work, analyze individual corporate and finance efforts to lead, dive into the regulatory environments around the world, and look to how the clean-energy race creates unique challenges and opportunities.

• Department: Business Economics
• W 8:30 a.m.-11:45 a.m.
• Instructor: Gernot Wagner
  Wikipedia Info
• 3 points

Digital Health Revolution

DIGITAL HEALTH REVOLUTION

Digital health is the use of any and all digital resources to improve health by making it safer, more efficient, maximize outcomes and lower costs. It is transforming the delivery of healthcare and behaviors of all health sectors.  The size and scope are fast growing and difficult to define at this point in its history. The Covid-19 pandemic has magnified the importance and uses of digital health.

 

This course provides an overview of digital healthcare in the US, focusing on how and why digital health is revolutionizing healthcare for providers, patients and payors.  Students will be equipped with the vocabulary, concepts and tools to understand the dynamic aspects of digital healthcare in today's environment, including its definition, its role in improving patient outcomes, provider satisfaction, reduction in costs and why this is accelerating. Students are encouraged to take the perspective of the executive and policy-maker in class discussions.  In addition, the course surveys current digital tools and investment strategies in digital health.

• Department: Health Policy & Management
• T 10 a.m.-11:20 a.m.
• Instructor: Catherine Foster
  Info
• 1.5 points

PROFESSIONAL LEADERSHIP & PRACTICE II

PROFESSIONAL LEAD & PRAC

This 15-week course is the second of the four Professional Leadership and Practice courses. The course occurs in the second semester of the DPT curriculum and is designed to educate students about the multiple dimensions of professional practice in physical therapy. The course will examine the professional roles of the physical therapist as an interprofessional team member and health promotion advocate. Topics covered in the series include behavior change, motivational interviewing, health promotion, team decision-making, and narrative medicine. This hybrid course combines lecture, independent reading, group discussion, active experiential learning activities, narrative medicine seminars and written assignments to provide students with the opportunity to effectively promote health behavior change with effective communication strategies and cultural humility. Students will be asked to engage in reflective writing and reflective listening during class discussions, small group activities and on-line activities in order to develop skills that optimize shared meaning, motivation, and self- efficacy. Students will participate in the campus-wide interprofessional day activities and will develop e-Portfolio content and reflections as part of the three-year professional development e-portfolio project.

• Department: Physical Therapy
• 2 points

Health Claims Data Analytics: Real-World

HEALTH CLAIMS DATA ANALYT

Integrated individual-level health claim, biometric and risk data have many business uses across insurance, consulting, disease management, engagement and other digital healthcare organizations. The purpose of this course is to provide training to meet the data analytical job demands of these organizations with practical, hands-on experience exploring real corporate longitudinal data.

• Department: Health Policy & Management
• R 1 p.m.-3:50 p.m.
• Instructor: Howard Tarre
  Info
• 1.5 points

Applied Geopolitics: Risk Analysis

Geopolitics-Risk Analysis

The course introduces students to political risk analysis risks by exploring three key concepts and related frameworks for understanding this phenomenon at the international, country, and sectorial levels respectively: G-ZERO, J-Curve, and state capitalism. The course also equips students with key qualitative and quantitative techniques for doing political risk analysis, including the identification of top risks, fat tails, and red herrings, as well as the construction of political risk indices, models, and game-theory simulations. In addition, these concepts and techniques are further applied to analyzing and forecasting current, real-world problems and business concerns, such as market entry or portfolio investment allocation. These concepts and techniques are further practiced in the course practicums, which include interactive activities that invite students to grapple with the challenges of identifying and forecasting the range of outcomes of current, real-world risks as those come up at the time of the course. In the process, the course explores a range of political-risk topics on the macro- and micro-economic impacts of geopolitics—including issues of international and civil war, international trade, unconventional conflict, and a shifting global political order—as well as of politics at the national and sub-national level, including elections and political transitions, social unrest, the social and political drivers of economic and investment policies, and emerging vs developed markets dynamics.

• Department: International and Public Affairs
• M 4:10 p.m.-6 p.m.
• 1.5 points

ECONOMICS OF STRATEGIC BEHAVIOR

This course examines the underlying economics of successful business strategy: the strategic imperatives of competitive markets, the sources and dynamics of competitive advantage, managing competitive interactions, and the organizational implementation of business strategy.
The course combines case discussion and analysis (approximately two thirds) with lectures (one third). The emphasis is on the ability to apply a small number of principles effectively and creatively, not the mastery of detailed aspects of the theory. The course offers excellent background for all consultants, managers and corporate finance generalists.

• Department: Business Economics
• TWRFS 9 a.m.-5 p.m.
• R 8:30 a.m.-11:45 a.m.
• R 2 p.m.-5:15 p.m.
• Instructor: Jacopo Perego
  Info
• Instructor: Maria Doval
  Info
• 3 points

Microeconomics for Policy Analysis II

Microecon & Policy Analysis II

This is a core economics course for the MPA in Environmental Science and Policy. The course explores the use of the tools of economic analysis in the discussion and evaluation of environmental policies. It builds on the microeconomic framework developed in Microeconomics and Policy Analysis I and extends it in a few directions. First, we deepen the discussion of theoretical issues particularly relevant for the analysis of environmental policies, such as externalities and public goods. Second, we explore how the theoretical concepts covered can be measured and used in actual environmental policy, and discuss real world examples of such applications. And finally, we discuss some aggregate implications related to – and the available evidence on – the two-way relationship between natural resources and economic growth. The objective of the course is to provide students with the necessary background for an understanding of the logic underlying the economic perspective on environmental policies. This is important to develop the skills necessary to conceptualize the trade-offs implicit in such policy decisions and to give a glimpse of the tools available to evaluate such trade-offs. As a result, it also helps build knowledge useful in a critical reading of policy proposals and evaluations in the environmental field.

• Department: International and Public Affairs
• W 6:10 p.m.-8 p.m.
• R 4:10 p.m.-6 p.m.
• Instructor: Eren Selcuk
  h-index: 4 Info
• 3 points