Case Based Application

• Department: Rehabilitation Medicine (RMED)
• Instructor: Julia Guzman
  Info
• Instructor: Danielle J Mahoney
  Info
• Instructor: Colleen M Maher
  Info
• Instructor: Rochelle Mendonca
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• Instructor: Glen Gillen
  Info
• Instructor: Tyra M Banks
  Info
• Instructor: Daniel L Geller
  Info
• 1 points

S Tech & Venture Capital

• Department: Law
• 2 points

GROUP THEORY

• Department: Chemistry
• MW 10:10 a.m.-11:25 a.m.
• Instructor: Jack R Norton
  CULPA: 6 Wikipedia Info
• 2.5 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
• TR 2:20 p.m.-3:50 p.m.
• Instructor: Awi Federgruen
  Wikipedia Info
• 3 points

Statistical Inference

STATISTICAL INFERENCE

This course covers a review of mathematical statistics and probability theory at the Masters level. Students will be exposed to theory of estimation and hypothesis testing, confidence intervals and Bayesian inference. Topics include population parameters, sufficient statistics, basic distribution theory, point and interval estimation, introduction to the theory of hypothesis testing, and nonparametric procedures.

• 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
• TR 2:20 p.m.-3:50 p.m.
• TR 4:10 p.m.-5:40 p.m.
• Instructor: Will Ma
  Info
• 3 points

Applied Regression II

APPLIED REGRESSION II

This course will introduce the statistical methods for analyzing censored data, non-normally distributed response data, and repeated measurements data that are commonly encountered in medical and public health research. Topics include estimation and comparison of survival curves, regression models for survival data, logit models, log-linear models, and generalized estimating equations. Examples are drawn from the health sciences.

• Department: Biostatistics
• M 1 p.m.-3:50 p.m.
• Instructor: Xin Ma
  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 9 a.m.-12:15 p.m.
• R 2:20 p.m.-5:35 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
• F 10 a.m.-1 p.m.
• W 2 p.m.-5 p.m.
• M 2 p.m.-5 p.m.
• Instructor: Alice O'Neill
  Info
• Instructor: Blair Singer
  Info
• Instructor: Lucy Thurber
  Wikipedia Info
• 3 points

SCENE STUDY

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

Medical Screening I

MEDICAL SCREENING I

Pathology continues the scientific foundation thread in the PT curriculum. The course is designed to assist students in understanding how a disease or conditions, especially changes in body tissues and organs that cause disease, might affect an individual’s functional abilities and limitations.

Pathology is a detailed study of select systemic and tissue-specific diseases and disorders. The epidemiology, etiology, pathogenesis, clinical manifestations, and management of each condition are explored. Implications for physical therapists are highlighted throughout the course specific to the medical screening process.

• Department: Physical Therapy
• 2 points

WRITING FOR PUBLICATION

• Department: Rehabilitation Medicine (RMED)
• Instructor: Danielle J Mahoney
  Info
• 1 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 9 a.m.-12:15 p.m.
• 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.

• Department: Decision, Risk and Operations
• R 2:20 p.m.-5:35 p.m.
• Instructor: Nicole Dehoratius
  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.
• None None-None
• F 10 a.m.-1 p.m.
• 3 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.
• 3 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.
• T 6:20 p.m.-9:10 p.m.
• Instructor: Katerina M Yiannibas
  Info
• 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 S Ross
  Info
• 3 points

Analysis of Categorical Data

ANALYSIS OF CATEGORICAL D

A comprehensive overview of methods of analysis for binary and other discrete response data, with applications to epidemiological and clinical studies. It is a second level course that presumes some knowledge of applied statistics and epidemiology. Topics discussed include 2 × 2 tables, m × 2 tables, tests of independence, measures of association, power and sample size determination, stratification and matching in design and analysis, interrater agreement, logistic regression analysis.

• 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 9 a.m.-12:15 p.m.
• Instructor: Tim Baldenius
  Info
• 3 points

S. Latino/as and Civil Rights Law

S. Latino/as & Civ Rights

• Department: Law
• 1.5-2 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
• T 9 a.m.-12:15 p.m.
• Instructor: Marco A Morales Barba
  Info
• 1.5 points

Programming Generative AI Applications

Web App Programming in Py

Generative Artificial Intelligence is a type of AI that learns patterns from data to create new content in various types of media (text, images, audio, video). At its heart a generative AI system has a large language model (LLM) that is essentially a large (trillions of parameters) neural network that has been trained on a mix of vast amounts of data as well as human input. Applying generative AI to actual problems in business often requires that the LLM underlying the AI be customized to the business problem, either by attaching a data source (e.g., operating procedures, 10k reports, marketing plans, balance sheets, etc.) to the LLM (a process known as Retrieval-Augmented Generation or RAG) or by retraining the neural net with additional data (a process known as fine tuning). adjusting the parameters of the underlying LLM. Embedding generative AI into organizational processes requires
that we gather appropriate data and reprogram the LLM to use the data either through RAG or fine tuning.

The focus of this course is to give you a working knowledge of what it takes to customize and assemble a customized generative AI application. We will use OpenAI’s GPT as our base model and learn how to build a RAG and how to customize using simple fine tuning. About 50% of the class time will be devoted to a group project where you will, in small groups, build your own customized AI application. All programming will be in Python and we will use libraries like tensorflow, langchain and faiss.

STUDENTS WILL NEED TO COMPLETE AN INTRODUCTORY PYTHON CLASS (https://courseworks2.columbia.edu/courses/152704) OR PASS THE BASIC PYTHON QUALIFICATION EXAM (https://cbs-python.com/) BEFORE THE FIRST DAY OF CLASS. SEE https://academics.gsb.columbia.edu/python FOR DETAILS

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

Kinesiology & Biomechanics II

This 16-week course during the second term of the DPT curriculum is the second in a series of Kinesiology and Biomechanics courses. The study of human motion is continued in greater depth with not only biomechanics but also pathomechanics and introductory gait analysis. Although this course is part of the foundational sciences, students will begin to integrate the course materials with clinical cases scenarios.

This course is the second in a series of two Kinesiology and Biomechanics courses. The two courses are offered in the first two semesters of the Doctor of Physical Therapy program. This course has three portions. The first portion covers biomechanical principles, movement analysis, as well as biomechanics and pathomechanics of body movements and functional activities. The second portion introduces normal gait including its kinematics and kinetics. The third portion emphasizes on observational gait analysis and introduces students to pathological gait. The introductory gait analysis this course offers will serve as a foundation for continued gait analysis activities in courses such as Movement Science, Prosthetics, Orthotics, Orthopedics, Pediatrics, Geriatrics and Neurology. An in-depth study of pathological gait is beyond the scope of this course.

• 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

The Religionization of Politics

The aim of the course is to look afresh at the contemporary interplay between religion and politics. Not only has religion not been marginalized as theories of secularization would have made us believe in the 70’s, it is making a comeback, even in the Western world. Modernization is going on, but religion is not disappearing. The course will be structured around three main ideas: 


The polarization of societies. Contemporary societies are crossed by a double dynamic of both weakening and strengthening of religion.

Religion, culture and society. There is a tendency for contemporary religion to become “de-culturalized” --  and thus more global -- while penetrating society from the “bottom” through various means.

The religionization of politics. Politics is more permeated with religion than 30 years ago. The reason has to do both with the activism of religious actors and with the temptation of political leaders to use religion as a legitimization tool for political action. The development of religious nationalism in various parts of the world (India, Turkey, Israel, Poland, Pakistan) is the best illustration of this trend.

• Department: Political Science
• W 2:10 p.m.-4 p.m.
• Instructor: Alain Dieckhoff
  Info
• 4 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. "

• Department: Decision, Risk and Operations
• M 2:20 p.m.-5:35 p.m.
• 1.5 points

Movement Science

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 analysis of postural control, basic mobility tasks (bed mobility, transfers & locomotion) and reach and grasp will be conducted. Principles of motor learning, including learning and practice variables are analyzed.

• Department: Physical Therapy
• 2 points

Biostatistical Methods II

BIOSTATISTICAL METHODS II

Regression analysis is widely used in biomedical research. Non-continuous (e.g., binary or count-valued) responses, correlated observations, and censored data are frequently encountered in regression analysis. This course will introduce advanced statistical methods to address these practical problems. Topics include generalized linear models (GLM) for non-Gaussian response, mixed-effects models and generalized estimating equations (GEE) for correlated observations, and Cox proportional hazards models for survival data analysis. Examples are drawn from biomedical sciences.

• Department: Biostatistics
• TR 10 a.m.-11:20 a.m.
• Instructor: Wenpin Hou
  Info
• 3 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 4:10 p.m.-5:40 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

STATISTICAL GENETIC MODEL

This course explores the theoretical foundations underlying the models and techniques used in mathematical genetics and genetic epidemiology. Topics include use and interpretation of likelihood methods, formulation of mathematical models, segregation analysis, ascertainment bias, linkage analysis, genetic heterogeneity, and complex genetic models. The course includes lectures, discussions, homework problems, and a final exam. My single most important objective for this course is for students to be able to break down any mathematical modeling problem logically into all its component parts, to express each part" accurately, and to know how to "add" all the pieces back up and to check the accuracy of their result."

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

Introduction to Randomized Clinical Tria

INTRO TO RAND CLINICAL TR

Students in this course will learn and practice the fundamental methods and concepts of the randomized clinical trial: protocol development, randomization, blindedness, patient recruitment, informed consent, compliance, sample size determination, crossovers, 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

Foundations of AI for Business

• Department: Decision, Risk and Operations
• M 9 a.m.-12:15 p.m.
• Instructor: Hongseok Namkoong
  h-index: 11 Info
• 1.5 points

Pharmaceutical Statistics

PHARMACEUTICAL STATISTICS

The drug development from compound discovery to marketing and commercialization registration is a lengthy and complex process in which statisticians play an important role from the beginning to the end. The main objective of this course is to provide students with working knowledge of methodological and operational issues that arise in different stages of the drug development that involve statistical contributions.
Topics include: Introduction of drug development; design and analysis of non-clinical studies (toxicology, pharmacokinetics and pharmacodynamics) and Phase I/II/III studies; issues in clinical studies including non-inferiority, meta-analysis, and endpoint selection; overview of safety reporting systems such as MedDRA (Medical Dictionary for Regulatory Activities), CTC version 3 (Common Terminology Criteria for Adverse Events), and preparation for the FDA advisory committee drug approval process. In addition, the views and positions of different regulatory bodies, such as the FDA or EMEA, on design and analysis issues will be discussed.

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

Applying Healthcare IT and Digital Healt

Apply Healthcare IT & Dig

• Department: Decision, Risk and Operations
• W 2:20 p.m.-5:35 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
• M 9 a.m.-12:15 p.m.
• M 2:20 p.m.-5:35 p.m.
• Instructor: Charles R Guetta
  Info
• 1.5 points

ACTING TECHNIQUES

ACTING FOR CAMERA

• Department: Theatre Arts
• T 2:10 p.m.-6 p.m.
• Instructor: James Calleri
  Info
• 3 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
• R 6 p.m.-9:15 p.m.
• T 2:20 p.m.-5:35 p.m.
• Instructor: David L Bendes
  Info
• Instructor: Mattan Griffel
  Info
• 1.5 points

England and Wider World 1550 to 1815

England/Wider World 1550-

This colloquium explores the evolution of English overseas enterprise from the Protestant Reformation through the end of the Napoleonic Wars.  Topics include the origins and organization of the early British Empire, the production of wealth through colonial settlement and overseas trade, the development of consumer markets for tropical commodities, the relationship between European and imperial spheres of endeavor, the relationship between overseas enterprise and evolving definitions of British identity, and new problems of governance and administration in the late eighteenth century that accompanied colonial expansion in North America, South Asia, the Caribbean, and West Africa.

• Department: History
• R 2:10 p.m.-4 p.m.
• Instructor: Christopher L Brown
  CULPA: 5 Info
• 4 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.

• Department: Decision, Risk and Operations
• T 6 p.m.-9:15 p.m.
• Instructor: Yashodhan Kanoria
  h-index: 18 Info
• 1.5 points

Topics in Advanced Statistical Computing

TPCS IN ADVNCD STAT COMPU

As statistical models become increasingly complex, it is often the case that exact or even asymptotic distributions of estimators and test statistics are intractable. With the continuing improvement of processor speed, computationally intensive methods have become invaluable tools for statisticians to use in practice. This course will cover the basic modern statistical computing techniques and how they are applied in a variety of practical situations. Topics to be covered include numerical optimization, random number generation, simulation, Monte Carlo integration, permutation tests, jackknife and bootstrap procedures, Markov chain Monte Carlo methods in Bayesian settings, and the EM algorithm.

• 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

INTEGRATIVE CAPSTONE EXPE

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

RELATIONAL DATABASES AND

In this course, you will learn to design and build relational databases in MySQL and to write and optimize queries using the SQL programming language. Application of skills learned in this course will be geared toward research and data science settings in the healthcare field; however, these skills are transferable to many industries and application areas. You will begin the course examining the pitfalls of using Excel spreadsheets as a data storage tool and then learn how to build properly-designed relational databases to eliminate the issues related to spreadsheets and maintain data integrity when storing and modifying data. You will then learn two aspects of the SQL programming language: 1) the data manipulation language (DML), which allows you to retrieve data from and populate data into database tables (e.g., SELECT, INSERT INTO, DELETE, UPDATE, etc.), and 2) the data definition language (DDL), which allows you to create and modify tables in a database (e.g., CREATE, ALTER, DROP, etc.). You will additionally learn how to optimize SQL queries for best performance, use advanced SQL functions, and utilize SQL within common statistical software programs: R and SAS.

• Department: Biostatistics
• T 5:30 p.m.-8:20 p.m.
• W 5:30 p.m.-8:20 p.m.
• Instructor: Zoe Verzani
  Info
• 3 points

Capstone Consulting Seminar

CAPSTONE CONSULTING SEMIN

The Capstone Consulting Seminar is a required course for the M.S. Theory and Methods track and M.P.H. students in Biostatistics. It provides experience in the art of consulting and in the proper application of statistical techniques to public health and medical research problems. Students will bring together the skills they have acquired in previous coursework and apply them to the consulting experience. Learning will take place by doing. Over the course of the semester students will attend consultation sessions of the department's Biostatistics Consultation Service. Students will participate in the consultation interaction and will present their report in class for discussion or comment on another student's presentation.

• 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

Financial Management

The course introduces students to budgeting and financial control as a means of influencing the behavior of 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 and 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 in budgeting and financial management.

• Department: International and Public Affairs
• M 6:10 p.m.-8 p.m.
• R 9 a.m.-10:50 a.m.
• Instructor: Rebecca E Koike
  Info
• 3 points

S ROLE OF INSIDE COUNSEL

• Department: Law
• 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
• R 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
• 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

SEM IN MOVING IMAGE AND RELATED MEDIA

SEM IN MOVING IMAGE & REL

The Graduate Seminar in Moving Image is a forum for concentrated discussion of the issues underlying an expanded view of moving image practice today. 

What is at stake when we endeavor to use this time-based medium in 2020? We will use your particular artistic production as starting points for navigating larger questions surrounding language, space, time and meaning. At the heart of the seminar will be the belief that theory and practice are inseparable. Therefore, we will be reading contemporary theory as we experiment with the making of lens and non-lens-based images. We will explore a wide range of artistic uses of the moving image as well as its use in the larger societal context, (films, movies, television, TikTok, etc.), as the basis for speculating about new ways of working with the moving image. The seminar will be a supportive environment for students to develop ideas and explore applications in dialogue with the group. Participants will support each other in formulating and refining the thought processes behind their work, and situating their practices within larger contexts of cultural production.

• Department: Visual Arts
• W 9 a.m.-noon
• Instructor: Lukas Brasiskis
  Info
• 3 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
• W 5:30 p.m.-8:20 p.m.
• Instructor: Heather M Butts
  Info
• 1.5 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 2:20 p.m.-5:35 p.m.
• Instructor: Jason Buckweitz
  Info
• 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

POL ECON OF INSTITUTIONS

Prerequisites: the instructors permission prior to registration. This course will prepare graduate students in political science and economics who have completed their basic formal and quantitative training for research in formal political theory. The specific substantive focus of the course will depend on the distribution of students interests, but topics will include: electoral and legislative institutions, autocratic politics, political behavior, persuasion, and conflict. The topics should be of broad relevance for graduate students interested in political economy.

• Department: Political Science
• W 2:10 p.m.-4 p.m.
• Instructor: Carlo Prato
  h-index: 11 Info
• 4 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
• M 9 a.m.-12:15 p.m.
• Instructor: Gernot Wagner
  Wikipedia Info
• 1.5 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 8:30 a.m.-11:20 a.m.
• Instructor: Catherine Foster
  Info
• 1.5 points

Professional Leadership & Practice II

PROFESSIONAL LEAD & PRAC

This 8-week course during the second term of the DPT I curriculum is the second of the four Professional Leadership and Practice courses. The course 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 a health promotion advocate and interprofessional team member. Topics covered in the series include health promotion, interprofessional collaborative practice, leadership, structural determinants of health, reflective practice, cultural humility, and the role of bias in clinical care.

This course combines lecture, independent reading, group discussion, active experiential learning activities, small-group seminars, and written assignments to provide students with the opportunity to promote health behavior change with effective communication strategies and cultural humility. Course topics will include health promotion, behavior change theory, motivational interviewing, structural determinants of health, reflective practice, and the role of explicit and implicit bias in delivery of high-quality care. Students will be asked to engage in reflective writing and reflective listening during class discussions, small group activities and on-line activities to develop skills that optimize shared meaning, motivation, and self-efficacy. Students are also expected to participate in the campus-wide interprofessional day activities and develop e-Portfolio content and reflections as part of the three-year professional development e-portfolio project.

• Department: Physical Therapy
• 2 points

HERODOTUS

• Department: Classics
• R 4:10 p.m.-6 p.m.
• Instructor: Elizabeth K Irwin
  CULPA: 7 Info
• 3 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
• W 1 p.m.-3:50 p.m.
• Instructor: Howard Tarre
  Info
• 1.5 points

INTRO TO CINEMATOGRAPHY

• Department: Film
• W 9:30 a.m.-12:30 p.m.
• Instructor: Tal Lazar
  Info
• 1.5 points

Case Competition Fundamentals

CASE COMPETITION FUNDAMEN

The Course introduces students to the fundamentals of case competitions and prepares them to compete in select case competitions over the course of the year. Case competitions afford students the opportunity to apply classroom learning to dynamic health care organizational and industry problems. The Course covers topics ranging from the framework for breaking down cases to common analytical techniques and presentation skills. We will build the foundational skills for students to prepare and deliver comprehensive, professional analyses in competitive settings.

• Department: Health Policy & Management
• W 4 p.m.-5:20 p.m.
• Instructor: John McHugh
  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
• 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.
• Instructor: Maria Doval
  Info
• 3 points

Microeconomics and Policy Analysis II

Microecon & Policy Analysis II

This two-semester course demonstrates that it is both possible and useful to think about public policy rigorously: to examine underlying assumptions; to understand how formal models operate; to question vagueness and clichés; and to make sophisticated ethical arguments. An important goal of the class is to have students work in groups as they apply microeconomic concepts to current public policy issues having to do with urban environmental and earth systems. The course includes problem sets designed to teach core concepts and their application. In the spring semester, the emphasis is on the application of concepts to analyze contemporary policy problems. Some time is also devoted to international trade and regulation, and industrial organization issues. Students not only learn microeconomic concepts, but also how to explain them to decision-makers. Student groups take on specific earth system policy issues, analyze options through the use of microeconomic concepts, and then make oral presentations to the class.

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

Healthcare Leadership: Leading with Equi

HLTHCRE LDRS: LEADING W E

The events over year and a half have brought a renewed focus and an increased sense of urgency to recognize and address inequality in our society and institutions. These events have challenged organizational leaders to respond with comprehensive strategies to promote equity and embed racial and social justice within their organizational domains of influence. To achieve this and advance equity, an intentional and dedicated focus that recognizes the harmful effects of systemic inequities is required.

Historically in healthcare, structural inequities have resulted in disproportionately poor outcomes for marginalized groups in our society.  The intersections of race, ethnicity, sexual orientation, gender identity gender expression, language, disability, religion and other characteristics further identifies disadvantages and poor outcomes for marginalized groups—notably those with less access to power and resources. Additionally, false notions of racial superiority, white supremacy culture, and explicit or implicit biases contribute to disparities in patient outcomes among people of color and other socially marginalized groups.

This course will explore how leaders are able to effectively advance health equity by dismantling systems of oppression and racism in health care. The focus will be to examine leadership imperatives to establish a collaborative consciousness to instill and promote just policies and practices. To this end, the course will require students to develop an understanding of self-identity and an awareness of how one’s individual actions impact interactions between colleagues, team members and others. The course will provide strategies for effective leaders to establish a foundation to advance diversity management, promote equity and establish inclusion best practices within organizations.  In particular, the emphasis will be on leadership accountability to initiate conversations and set forth strategic actions to sustain organizational change.

• Department: Health Policy & Management
• W 1 p.m.-3:50 p.m.
• Instructor: Pamela Y Abner
  Info
• 1.5 points