THEATRE INTERNSHIP II

• Department: Theatre Arts
• Instructor: Lauren Britt-Elmore
  Info
• 1-3 points

Advanced Clinical Management and Leaders

ADV CLINICAL MANAGEMENT &

This graduate course will focus on health service systems.Students will study the theories, competencies, and concepts of management and leadership. Furthermore students will examine the leadership role related to quality and safety in complex health service delivery systems, the management theories and concepts such as interprofessional communication, teamwork, delegation and supervision.The core role competencies for the nurse leader frame the course activities.

• Department: Nursing
• T 4 p.m.-5:50 p.m.
• Instructor: Anita Volpe
  Info
• 3 points

STATISTICS FOR BASIC SCIENCES

• Department: Pharmacology
• T 1 p.m.-3 p.m.
• 1 points

S PUB EDUC POLICY SEM & PRACT

• Department: Law
• MTWRF 9 a.m.-1 p.m.
• None None-None
• 5 points

S PUB EDUC POLICY SEM & PRACT

• Department: Law
• 2 points

Corporate Transactions and Fin

The main objective of Corporate Transactions and Financial Modelling is for you to acquire a lasting ability to successfully understand, analyze, model, value and creatively think about LBO, M&A, IPO and restructuring activities. We will: 1. explore structural, accounting, regulatory, taxation, institutional and process-related aspects of different transactions 2. develop advanced valuation and financial statements analysis skills 3. prepare full-blown transaction models with integrated B/S, I/S and CFS using Excel 2016. We use these models to study the feasibility of deals, to predict financial ratios and to explore liquidity and profitability consequences of different deal structures and assumptions. We use databases that are commonly used by practitioners and emphasize real-world applications. For example, you receive your own FactSet Desktop license including Excel add-in and we incorporate applications into the course. The overarching goal is to develop an advanced toolbox to succeed in a transactions-related role in IB, PE, consulting, investment management, corporate management or entrepreneurship.

• Department: Accounting (ACCT)
• T 8:30 a.m.-11:45 a.m.
• W 8:30 a.m.-11:45 a.m.
• R 8:30 a.m.-11:45 a.m.
• Instructor: Anne Heinrichs
  Info
• 3 points

MASTERS THESIS

Research in an area of mechanical engineering culminating in a verbal presentation and a written thesis document approved by the thesis adviser. Must obtain permission from a thesis adviser to enroll. Recommended enrollment for two terms, one of which can be the summer. A maximum of 6 points of master’s thesis may count toward an M.S. degree, and additional research points cannot be counted. On completion of all master’s thesis credits, the thesis adviser will assign a single grade. Students must use a department-recommended format for thesis writing.

• Department: Mechanical Engineering
• Instructor: Sunil Agrawal
  Wikipedia h-index: 65 Info
• Instructor: P J Schuck
  Info
• Instructor: Gerard A Ateshian
  Info
• Instructor: Michael Burke
  h-index: 22 Info
• Instructor: Vijay Vedula
  h-index: 17 Info
• Instructor: Matei T Ciocarlie
  Info
• Instructor: James Hone
  CULPA: 11 h-index: 124 Info
• Instructor: Jeffrey W Kysar
  CULPA: 9 h-index: 37 Info
• Instructor: Qiao Lin
  h-index: 41 Info
• Instructor: Richard W Longman
  CULPA: 6 h-index: 45 Info
• Instructor: Bianca N Howard
  Info
• Instructor: Vijay Modi
  CULPA: 3 h-index: 40 Info
• Instructor: Kristin Myers
  CULPA: 3 h-index: 25 Info
• Instructor: Arvind Narayanaswamy
  CULPA: 9 h-index: 26 Info
• Instructor: Sinisa Vukelic
  CULPA: 2 h-index: 11 Info
• Instructor: Y. Lawrence Yao
  CULPA: 3 h-index: 95 Info
• Instructor: Karen Kasza
  h-index: 17 Info
• Instructor: Hod Lipson
  Wikipedia h-index: 79 Info
• 1-3 points

Accounting for Value

This course is about handling accounting information in value investing. The issue is straightforward: How do I infer value from such numbers as earnings, book value, cash flows, return on equity, and return on assets? What are the pitfalls? When can I be led astray? How do I make valid inferences? "Profitability" is an important valuation attribute, but does reported accounting profitability convey real profitability? If not, how do I handle the deficiency? The answers to these questions require, first, an understanding of the integrity of the numbers that financial statements report and, second, an understanding of what a "clean" number tells us and what it does not tell us. The first question is the issue of so-called "earnings quality." While we will be sensitive to the quality of the accounting in this courseand indeed develop some striking criticisms and make adjustmentsour focus will largely be on the second, the issue of appreciating the value implications of accounting numbers. (There is a detailed course on earnings quality at Columbia Business School, Earnings Quality and Fundamental Analysis, B8008.) Accounting numbers, used appropriately, are powerful aids to the value investor in understanding a business and the value in that business. However, they can be easily misused. A P/E ratio, for example, serves as an important input to a value investor, but the investor is in danger of being falsely cued if he or she does not appreciate what that ratio actually captures. A too-simple form of "value investing" trades on P/E and price-to-book (P/B) under the label, "Value versus Growth" investing, but the uninitiated is in danger of falling into the Value Trap. In this course you will understand the Value Trap and how to avoid it. More importantly, you will appreciate how a dedicated approach to value investing deals with accounting numbers to understand when price is different from value. Indeed, the course will show how to bring the appropriate (possibly adjusted) accounting numbers together to challenge the market price and thus avoid the greatest risk in investing, the risk of paying too much. The course title is that of my book, Accounting for Value. This easy-read develops the themes and the course flushes them out. By the end of the course, you should have the answers to the following questions: How do I understand the profitability of a business from the financial statements and what does that imply for the value of the business? Apple Inc. trades at a forward P/E of 11.5. What does that tell me? Is t

• Department: Accounting (ACCT)
• M 2 p.m.-5:15 p.m.
• Instructor: Stephen H Penman
  Info
• 3 points

PRE-MODERN CHINESE FICTION

• Department: East Asian Languages and Cultures
• M 2:10 p.m.-4 p.m.
• Instructor: Wei Shang
  CULPA: 4 Wikipedia h-index: 96 Info
• 4 points

Dissertation Research

Full time research for doctoral students.

• Department: Graduate School of Arts and Sciences
• 12 points

ADVANCED STATISTICAL MECHANICS

Advanced statistical mechanics.

• Department: Physics
• MW 2:40 p.m.-3:55 p.m.
• Instructor: Andrew Millis
  CULPA: 5 h-index: 99 Info
• 3 points

DIR RSCH 19TH-C RUSSIAN LIT I

• Department: Slavic Languages
• Instructor: Liza Knapp
  CULPA: 28 Info
• Instructor: Irina Reyfman
  CULPA: 5 Info
• 2-4 points

VISITING ARTISTS

• Department: Theatre Arts
• T 10 a.m.-noon
• Instructor: Mark Russell
  Info
• 3 points

CLASSICAL CHINESE POETRY

This graduate seminar aims to introduce students to early medieval poetry and poetics, tracing the changes and transformations of poetic language and social functions of shi-poetry from the third century to the seventh century CE. While the course presents a diachronic and historical perspective in the structuring of material, starting from the Jian’an Era (196-220 CE) and concluding at the Sui dynasty (581-619), it is also issue-driven, seeking to highlight important literary historical phenomena during these centuries, including the dialectic between reclusion and government service, landscape, court composition, trauma writing, and literary imitation. Students will also learn methodologies and general approaches to early medieval literature.

Readings include primary texts in classical Chinese and secondary scholarship. Prerequisite: students should have at least two years of experience in learning classical Chinese.

• Department: East Asian Languages and Cultures
• T 12:10 p.m.-2 p.m.
• Instructor: Lu Kou
  Info
• 4 points

THEATRE PRACTICUM II

REIMAGINING AMERICAN THEATRE

TBD

• Department: Theatre Arts
• F 2:10 p.m.-5 p.m.
• 3 points

THEATRE PRACTICUM II

ELEVATED & CONTEMPORARY TEXTS

TBD

• Department: Theatre Arts
• TR 10 a.m.-12:50 p.m.
• Instructor: Scott V Whitehurst
  Info
• 3 points

DIR RSCH 20TH-C RUSS CULTURE

• Department: Slavic Languages
• Instructor: Mark Lipovetsky
  Wikipedia Info
• 2-4 points

SEM-SOURCES IN CHINESE HISTORY

• Department: East Asian Languages and Cultures
• W 4:10 p.m.-6 p.m.
• Instructor: Robert P Hymes
  CULPA: 8 Info
• 3 points

S. Rethinking Globalization

• Department: Law
• M 4:20 p.m.-6:10 p.m.
• Instructor: Charles Sabel
  Wikipedia h-index: 77 Info
• 3 points

Graduate Seminar in Japanese Cinema and

Grad Seminar Japanese Cin

In this course, we will examine a series of key writings on cinema and visual culture in Japan from the 1910s to the late 1960s.  Major topics will include:

1. Cinema and its technology/technics (sound, color, and film form)

2. Cinema and its intersection with politics and aesthetics (Marxism and the Proletarian Film Movement, cinematic realism, colonialism, Third Worldism, and Japanese New Wave)

3. The articulations of cinema in broader intellectual, technological, socio-cultural, and institutional discourse (film education, documentary, and 
bunka eiga
)

In an attempt to explore the transitional position of cinema and media culture in Japanese cultural history, the course also critically approaches contact points between cinema, theatre (especially
shingeki
), literature, photography, and television.  All mandatory readings each week will be primary sources in Japanese, and additional scholarly and/or theoretical writings in English will also be assigned or provided for reference.

• Department: East Asian Languages and Cultures
• M 4:10 p.m.-6 p.m.
• Instructor: Takuya Tsunoda
  Info
• 4 points

S READING THE CONSTITUTION

• Department: Law
• T 2:20 p.m.-4:10 p.m.
• Instructor: Akhil R Amar
  Info
• 2 points

PUBLIC HEALTH PRACTICE SEMINAR

• Department: Public Health
• Instructor: Heather Krasna
  h-index: 5 Info
• 0.5 points

TUTORIAL GENERAL PUBLIC HEALTH

• Department: General Public Health
• Instructor: Marina Catallozzi
  Info
• 0-6 points

M.A. ESSAY DIRECTION

• Department: French
• Instructor: Madeleine Dobie
  CULPA: 14 Info
• 6 points

INDIV PROJECTS IN MUSICOLOGY

INDIV PROJECT IN MUSICOLOGY

Sec. 1: Ethnomusicology; Sec. 2: Historical Musicology; Sec. 3: Music Theory; Sec. 4: Music Cognition; Sec. 5: Music Philosophy.

• Department: Music
• Instructor: Susan Boynton
  CULPA: 18 Info
• Instructor: Julia Doe
  Info
• Instructor: Joseph P Dubiel
  CULPA: 3 Info
• Instructor: Kevin Fellezs
  CULPA: 4 Info
• Instructor: Aaron A Fox
  CULPA: 7 Info
• Instructor: Walter M Frisch
  CULPA: 17 Info
• Instructor: Mariusz Kozak
  CULPA: 4 h-index: 5 Info
• Instructor: George Lewis
  CULPA: 10 Wikipedia h-index: 18 Info
• Instructor: Benjamin A Steege
  Info
• Instructor: Christopher J Washburne
  CULPA: 31 Info
• 3 points

APPLIED REGRESSION I

Prerequisite: Public Health P6103 or P6104. The study of linear statistical models. Regression and correlation with one independent variable. Partial and multiple correlation. Multiple and polynomial regression. Single factor analysis of variance. Simple logistic regression

• Department: Biostatistics
• R 1 p.m.-3:50 p.m.
• Instructor: Martina Pavlicova
  h-index: 30 Info
• 3 points

ADVANCED TOPICS IN IEOR

High-dimensional Prob w/Applic

Selected topics in IEOR. Content varies from year to year. May be repeated for credit.

• Department: Industrial Engineering and Operations Research
• MW 11:40 a.m.-12:55 p.m.
• Instructor: Kaizheng Wang
  CULPA: 1 h-index: 8 Info
• 3 points

ADVANCED TOPICS IN IEOR

ADVANCED TOPICE IN IEOR

Selected topics in IEOR. Content varies from year to year. May be repeated for credit.

• Department: Industrial Engineering and Operations Research
• T noon-1 p.m.
• Instructor: Vineet Goyal
  h-index: 21 Info
• 0 points

FICTION THESIS WORKSHOP

• Department: Writing
• R 1:10 p.m.-4:10 p.m.
• R 10 a.m.-1 p.m.
• T 10 a.m.-1 p.m.
• T 1:10 p.m.-4:10 p.m.
• M 1:10 p.m.-4:10 p.m.
• W 2 p.m.-5 p.m.
• Instructor: Paul Beatty
  Wikipedia Info
• Instructor: Anelise I Chen
  Info
• Instructor: Rivka R Galchen
  CULPA: 6 Info
• Instructor: Heidi S Julavits
  CULPA: 1 Wikipedia Info
• Instructor: Benjamin Marcus
  Info
• Instructor: Gary Shteyngart
  Wikipedia Info
• 9 points

Introduction to Health Data Science

Intro to Health Data Scie

This course will introduce students to core data science skills and concepts through the exploration of applied biostatistics. The course will begin with an introduction to the R programming language and the RStudio IDE, focusing on contemporary tidyverse functions and reproducible programming methods. Then, the course will instruct students in contemporary data manipulation and visualization tools while systematically covering core applied biostatistics topics, including confidence intervals, hypothesis testing, permutation tests, and logistic and linear regression. Finally, the semester will end with an introduction to machine learning concepts, including terminology, best practices in test/training sets, cross-validation, and a survey of contemporary classification and regression algorithms.

• Department: Biostatistics
• MW 4 p.m.-5:20 p.m.
• Instructor: Cale N Basaraba
  Info
• 3 points

Ex. In-House Counsel

• Department: Law
• M 4:20 p.m.-6:10 p.m.
• None None-None
• T 6:20 p.m.-8:10 p.m.
• None None-None
• 2 points

TOPICS IN APPLIED STATISTICS

Applied Causality

.

• Department: Statistics
• M 1:10 p.m.-3 p.m.
• Instructor: David Blei
  Wikipedia h-index: 98 Info
• 3 points

Process Improvement and Growth

This class brings business operations and management science classes to the field with real-world experience. Through experiential learning, we will bridge the gap between theory and practice with international case discussions, conversations with guest speakers and hands-on company sponsored projects. Different to most classes in the school, in this class students will be exposed to a series of international cases and examples based on medium-sized, fast-growing entrepreneurial ventures. Each session will also include a guest speaker, often times the protagonist of the case studied, giving the students the opportunity to learn directly from successful entrepreneurs and senior executives.
Additionally, students will put into practice the concept of process improvement by working on a company-sponsored applied project. Teams of 4-5 people, 3-4 MBA/EMBA students and 1-2 engineering (SEAS) students, will work hand in hand with the instructors and company representatives to achieve company goals. For example, teams may be tasked with re-designing the logistical strategy of distribution of the company to get rid of inefficiencies, or identify and find strategies to eliminate areas of waste within the companies’ processes, or analyze customer feedback and design operational solutions to increase customer satisfaction, etc.
Enrollment in this course is by application only. To apply, please follow this link: https://forms.gle/EG6buNZqQYEgN2EH9

• Department: Decision, Risk and Operations
• T 6 p.m.-9:15 p.m.
• 3 points

SEM-HISTORCL MUSICLGY-MID AGES

• Department: Music
• F 10 a.m.-1 p.m.
• Instructor: Susan Boynton
  CULPA: 18 Info
• 3 points

VISUAL ART LAB, SPRING

VISUAL ART LAB SPRING

Students meet with the professor and pave the transition from graduate students to seeing themselves as artists with a long term working creative perspective beyond academia. The professor will work to contextualize the students body of work in the arena of an international art conversation. VISUAL ART LAB will be led by Sarah Sze in the Spring.

Schedule:
Priority will be given to all second-year students who submit a short presentation of their work. Should there be remaining room for first year students they will be admitted upon review. To apply please submit a brief description of work, current research and interest in taking the seminar, along with 5 - 10 images. There will be one half hour meeting for each student with professor Sze throughout the Spring Semester.

Requirements:
Rigorous development of students' own body of work.

• Department: Visual Arts
• R 1 p.m.-4 p.m.
• Instructor: Autumn Knight
  Info
• 3 points

POR CAREER DEVELOPMENT COLLOQUIUM

• Department: Biostatistics
• T 3 p.m.-3:50 p.m.
• 0.5 points

Business Analytics II Half Term

This course extends and deepens the material you learned in business analytics. We will apply these methods in more unstructured and diverse situations, introduce new analytics tools and methods (including Tableau Visualization, text mining, and random forests), and study a modern framework for overfitting reduction called regularization that underlies much of modern machine learning. This course does not require coding or knowledge beyond Business Analytics, but the mathematical sophistication level will be somewhat more advanced.

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

NEUROSCIENCE

This intensive course during the second semester of the DPT curriculum provides students with detailed coverage of neuroscience through lecture and one human cadaver prosection lab. The focus of the course is on the integral relationship between structure and function, as it relates to the neural basis for perception, movement, behavior, and cognition.  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. This course uses a primarily systems approach to study neuroscience.  The first part of the course covers essential concepts, such as neurobiology, neurohistology, neurophysiology, neurodevelopment, and neuroanatomy.  The second part of the course covers perception.  The third part of the course covers movement.  The fourth part of the course covers homeostasis, behavior, cognition, and alterations (i.e. healing and aging).  Functional consequences of lesions to various parts of the nervous system will be discussed.

• Department: Physical Therapy
• 4 points

DATA SCIENCE II

• Department: Biostatistics
• TR 4 p.m.-5:20 p.m.
• Instructor: Yifei Sun
  h-index: 7 Info
• 3 points

Operations Strategy

A firm's operations encompass all the activities that are performed in order to produce and deliver a product or a service. An operations strategy refers to a set of operational decisions that a firm makes to achieve a long-term competitive advantage. These decisions may be about the firms facilities, its technology/process choices, its relationships with both upstream and downstream business partners etc. The goal of this course is to provide students with an understanding of how and why operational decisions are integral to a firms success. The course builds on concepts from the core Operations Management course and the core Strategy Formulation course. It is highly relevant to anyone whose work requires the strategic analysis of a firms operations, including those interested in consulting, entrepreneurship, mergers and acquisitions, private equity, investment analysis, and general management. The course consists of four modules. The first module, Strategic Alignment," explores the question of how a firms operations should be structured so as to be consistent with the firms chosen way to compete. The second module, "Firm Boundaries," considers the question of what operational activities should remain in house and what should be done by a business partner and the long-term implications of these decisions on competitive advantage. This module also addresses the issue of managing the business relationships with supply chain partners. The third module, "Internal Operations," considers key decision categories in operations, e.g., capacity decisions, process choices, IT implementation, and managing networks, and shows how these decisions can lead to distinctive capabilities. The final module, "New Challenges," is set aside to address new topics that reflect the current trends in the business environment."

• Department: Decision, Risk and Operations
• M 2 p.m.-5:15 p.m.
• T 8:30 a.m.-11:45 a.m.
• T 2 p.m.-5:15 p.m.
• R 2 p.m.-5:15 p.m.
• MW 6 p.m.-7:30 p.m.
• W 2 p.m.-5:15 p.m.
• R 8:30 a.m.-11:45 a.m.
• Instructor: Medini Singh
  Info
• 3 points

S SOCIAL MEDIA

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

Case Based Application

• Department: Rehabilitation Medicine (RMED)
• Instructor: Patricia Precin
  Info
• Instructor: Daniel L Geller
  Info
• Instructor: Annamaria Norweg
  Info
• Instructor: Tyra M Banks
  Info
• Instructor: Katherine Dimitropoulou
  Info
• Instructor: Dawn Nilsen
  Info
• Instructor: Razan Hamed
  h-index: 8 Info
• Instructor: Danielle J Mahoney
  Info
• Instructor: Julia Guzman
  Info
• 1 points

S Tech & Venture Capital

• Department: Law
• MTWRF 9 a.m.-1 p.m.
• 1 points

Capstone One Portfolio

• Department: Rehabilitation Medicine (RMED)
• Instructor: Patricia Precin
  Info
• Instructor: Daniel L Geller
  Info
• Instructor: Katherine Dimitropoulou
  Info
• 1-3 points