S PUB EDUC POLICY SEM & PRACT

• Department: Law
• 6 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 9 a.m.-12:15 p.m.
• W 9 a.m.-12:15 p.m.
• R 9 a.m.-12:15 p.m.
• Instructor: Anne Heinrichs
  Info
• 3 points

The Argonautic Tradition

In this seminar, we will read a number of texts in and around the Roman side of the Argonautic tradition—the voyage of the world’s first ship
Argo
, and its tragic aftermath—from the Republic through the Late Empire; and we will end with W.E.B. Du Bois’ first novel,
The Quest of the Silver Fleece
.

• Department: Classics
• F 2:10 p.m.-4 p.m.
• Instructor: Darcy Krasne
  h-index: 5 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: Gerard A Ateshian
  Info
• Instructor: Arvind Narayanaswamy
  CULPA: 9 h-index: 26 Info
• Instructor: Bianca N Howard
  Info
• Instructor: James Hone
  CULPA: 11 h-index: 124 Info
• Instructor: Kristin Myers
  CULPA: 3 h-index: 25 Info
• Instructor: Jeffrey W Kysar
  CULPA: 9 h-index: 37 Info
• Instructor: Michael Burke
  h-index: 22 Info
• Instructor: Vijay Modi
  CULPA: 3 h-index: 40 Info
• Instructor: Qiao Lin
  h-index: 41 Info
• Instructor: Matei T Ciocarlie
  Info
• Instructor: Vijay Vedula
  h-index: 17 Info
• Instructor: Sunil Agrawal
  Wikipedia h-index: 65 Info
• Instructor: Sinisa Vukelic
  CULPA: 2 h-index: 11 Info
• Instructor: P J Schuck
  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 2:20 p.m.-5:35 p.m.
• Instructor: Stephen H Penman
  Info
• 3 points

Human and Social Sciences as History

Human/Social Sciences as

This cross-departmental, intense reading seminar examines new directions in global history of social knowledge and science from 1800 to 1950. We will study science in context with a special focus on producers, objects and circuits of knowledge, and a relationship between knowledge, power and politics. We will critically investigate theoretical and practical implications of some major works in political economy, anthropology, statistics, sociology, psychology and psychiatry, including often overlooked scholars of color and female intellectuals. In particular, the seminar looks at the ways in which scholarly reflection shaped modern practices of classification, measurement, data collection, and immaterial objects of scholarly inquiry such as the self and the unconscious. Among others, we will discuss the cultural impact of the Enlightenment, imperial conquest, colonialism, nation-state building, mass politics, war violence, and communist revolutions in the Soviet Union and China. In conjuction, we will study  shifting understandings of community, wealth and social inequalities, citizenship, race, sexuality, cultural norms of behavior, and the very role of science in a society and across continents (metropolitan Europe and colonial territories, North and South America, Eurasia, and the Islamic world). The seminar welcomes students from all social sciences and humanities departments.

• Department: History
• W 10:10 a.m.-noon
• Instructor: Malgorzata Mazurek
  CULPA: 2 Info
• 4 points

Triumphal Arches: Titus to Ai Weiwei

This seminar will address the many questions posed by arches—an outdated, certainly problematic, and yet everpresent monumental genre—by studying the main extant instances from Roman antiquity and by tackling their historical permutations and parallels up to today. Covered themes include: the arches’ relationship to movement and mobility; arches as boundary markers and as connectors; their diffusion in non-architectural media; the semantics and the pragmatics of the arcuate form; violence, victory, sublimation, and memory. Graduate students from all departments, as well as advanced undergraduates, are most welcome to apply.

• Department: Art History and Archaeology
• T 10:10 a.m.-noon
• Instructor: Francesco de Angelis
  CULPA: 10 Info
• 4 points

Sustainability Reporting

Chal Mmt & Dis of Envr So

Broadly speaking, the goal of this class is to provide students with both the theoretical and practical knowledge to understand the current challenges in accounting for firms’ ESG goals. In this rapidly evolving field, the course will be structured in four modules:

- Module #1 reviews the need for sustainability accounting and provide an overview of the providers of ESG metrics and the limits of current
aggregated ESG data.
- Module #2 present various market-based mechanisms to create ESG standards
- Module #3 discusses regulatory initiatives to create ESG information for listed firms
- Module #4 departs from non-financial disclosure and discuss the limits of current accounting standards and introduce new developments to
incorporate ESG characteristics into traditional financial statements.

While ESG encompasses a vast body of topics, this class will draw examples and discuss about a diverse set of issues ESG, including carbon emissions, employees pay, employees labor-safety, and the role of consumers’ NGO, based on short examples or cases spanning different firms in different industries (e.g., wholesale, aviation) and different countries (e.g., USA, France, Japan).
This half-term course is composed of a mix of lectures, cases and online or in-person interventions by high profile industry guest speakers. The lectures are motivated by (1) rigorous recent academic studies drawing from the accounting literature, but also borrowing from adjacent fields including economics, finance, law and strategy and (2) practitioners notes and examples.

Who should take this course?

Students should take this course if they are interested in ESG in general and/or if they expect to use disclosure of non-financial information in their career. This is particularly relevant for students who want to pursue careers in finance (e.g., investment banking) where firms’ ESG footprint is becoming a scrutinized factor in M&A or investment decisions in general, as well as students going to careers in consulting where corporate decisions will more and more be benchmark against their ESG implications.

Please note that this course does not require students to have pre-existing knowledge about ESG.

• Department: Accounting (ACCT)
• R 9 a.m.-12:15 p.m.
• Instructor: Thomas E Bourveau
  Info
• 1.5 points

Dissertation Research

Full time research for doctoral students.

• Department: Graduate School of Arts and Sciences
• Instructor: Richard Slusarczyk
  Info
• 12 points

GRAD SEM-PREMODERN LITERATURE

Prerequisites: JPNS W4007-W4008 or the equivalent, and the instructors permission.

• Department: East Asian Languages and Cultures
• T 4:10 p.m.-6 p.m.
• Instructor: David B Lurie
  CULPA: 17 Info
• 4 points

GENERAL RELATIVITY

.

• Department: Physics
• TR 2:40 p.m.-3:55 p.m.
• Instructor: Andrei Beloborodov
  Info
• 3 points

VISITING ARTISTS

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

DIR RSCH 20TH-C RUSSIAN LIT II

DIR RSCH RUSSIAN LIT-20TH CENT

Directed Research in Russian Literature of the 20th Century.

• Department: Slavic Languages
• Instructor: Jessica E Merrill
  CULPA: 2 Info
• Instructor: Mark Lipovetsky
  Wikipedia Info
• 2-4 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

S. Rethinking Globalization

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

PARTICLE PHYSICS I

Prerequisites: PHYS G6037-G6038. Basic aspects of particle physics, focusing on the Standard Model.

• Department: Physics
• TR 4:10 p.m.-5:25 p.m.
• Instructor: Robert D Mawhinney
  CULPA: 6 h-index: 49 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

COLLABORATION STUDIO

• Department: Theatre Arts
• Instructor: Brian Kulick
  Info
• 0 points

COLLABORATION STUDIO

Collaboration Studio is meant to foster and encourage creative relationships between and among the six concentration that comprise the Columbia MFA Theatre Program.

The goal of the class is to celebrate the process and presentation of new work.​
 Success is defined by a desire by all participants for working relationships to extend beyond the class and into the world-at-large.

• Department: Theatre Arts
• Instructor: Brian Kulick
  Info
• 3 points

Public Health Practice Seminar II

PH Practice Seminar II

The internship course provides a substantive opportunity for students to practice applying their expertise and skills in a real world setting. The course allows students to work with practitioners and public health/healthcare experts to explore their interests in more depth and to expand their knowledge of current environments in their fields. Students will reflect on their interests, values, and skills and how their internship, past experiences, and studies align with their goals. The course will provide the opportunity for reflection on work advancement, progress of skill development, connection to current coursework, and exposure to areas within their field. The course includes self-reflection and career interests assessment exercises, and builds on communication skills to train students to respond to challenging questions that they may encounter in the job search process. The seminar provides a supportive framework designed to enhance students’ applied, field-based learning experience by exploring common themes encountered in the fieldwork setting. The seminar will address the public health core competencies of leadership, communication (via recorded and live oral presentations), professionalism, systems thinking, interprofessional education. • Describe the Theory of Vocational Choice by John Holland and explain how it can help you choose a career in alignment with your interests. • Prioritize your career interests, values, and mission areas of interest and describe how they relate to your current internship. • Identify three current job descriptions that match your interests, values, and mission areas of interest. • Write at least three effective bullet points for your resume based on your current internship and based on your job market research. • List 3 sources of salary and job market research and information. • Negotiate your salary. • Communicate your short term and long term goals and three steps you plan to take to achieve them. • Describe how your internship has contributed towards your achievement of these goals.

• Department: Public Health
• F 11:30 a.m.-1 p.m.
• Instructor: Heather Krasna
  h-index: 5 Info
• 0.5 points

Tutorial in general public health

TUTORIAL GENERAL PUBLIC H

Tailored to the particular interests and needs of individual students, the tutorials take many forms-literature reviews, research projects, field trips, and other special studies or learning experiences. Their objective is to enrich the student’s program. General public health subject areas for tutorials might include dental public health, health education, international health, nutrition, drug abuse, and other topical concerns not specifically dealt with in formal courses or in departmental or other study programs.

• Department: General Public Health
• Instructor: Stephen P Kachur
  Info
• 0-6 points

M.A. ESSAY DIRECTION

• Department: French
• 6 points

Epidemiology: Synthetical, Methodologica

Epi in the Age of Big Dat

The overall objective of this course is to build on previous knowledge acquired by students in the core quantitative lasses, and familiarize students with novel synthetical, methodological and analytical approaches to (clinical) epidemiology in the age of big-data, emphasize the import of critical thinking, while putting it into social, person-centered context. key concepts of clinical epidemiology, and particularly of clinical epidemiology. The Course will provide both the foundations in methods utilized in epidemiology in our quest for scientific truth, initial skills allowing the separation of truth from noise, introduce students to traditional as well as new approaches related to big data in our changing world -both prospects and pitfalls-, discuss the import of Patient-related Outcomes Measures (PROMs) and Patient-related Experience Measures (PREMs) for both research and patient-centered care and provide the basis for discussions of the ethics and privacy-related issues emerging in epidemiology as it relates to precision health.

• Department: General Public Health
• R 5:30 p.m.-6:50 p.m.
• Instructor: Moise Desvarieux
  Info
• 3 points

Communicating Health Risks to the Public

This course explores health risk communication approaches and strategies, focusing on their practical application in real-world scenarios. Students learn how to use the power of effective communication to advance informed decision-making about public health issues. With a keen eye on the dynamics of interpersonal, organizational, and mediated channels, students delve into the nuances of crafting impactful messages that evoke predictable effects and facilitate positive outcomes. Students gain insights into how communication shapes the public’s experience of health risks, as well as how to manage emotions and conflicts and address contemporary communication issues, including infodemics and misinformation.

Additionally, a trauma-informed approach is utilized to gain insights into the prevalence and consequences of trauma, how it influences behaviors and decision-making, and the intersection with crisis communication. One of the highlights of this course is its focus on cultivating public speaking skills. Students learn to navigate complex public health topics with confidence, empathy, and a commitment to clear, authentic, and trustworthy communication.

This course is highly experiential, offering ample opportunities to put theory into practice. A diverse range of communication materials will be produced, encompassing written documents and multimedia presentations. Students will gain the skills necessary to create compelling, evidence-based, and accessible content tailored to diverse stakeholders.

• Department: General Public Health
• R 7:50 p.m.-8:20 p.m.
• Instructor: Carina Schmid
  Info
• 1.5 points

ADV MPH Online Integrative Learning Expe

Integrative Learning Exp.

The Council on Education for Public Health (CEPH), the institution that accredits public health schools and programs in the United States, requires that all students complete an Integrated Learning Experience (ILE) to earn an MPH degree. The ILE, submitted as students near completion of their degree, is considered the culminating experience providing students the opportunity to highlight proficiencies and to make connections between significant elements of the MPH education. As students progress towards fulfilling degree requirements, they, in consultation with their advisors, identify foundational and program specific competencies to support their education and career goals. The ILE requirement stipulates students demonstrate the acquisition and synthesis of competencies they have identified with their faculty advisors through the submission of a high-quality written document.

• Department: General Public Health
• Instructor: Stephanie A Grilo
  Info
• 0 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: Alessandra M Ciucci
  CULPA: 1 Info
• Instructor: Julia Doe
  Info
• Instructor: Joseph P Dubiel
  CULPA: 3 Info
• Instructor: Kevin Fellezs
  CULPA: 4 Info
• Instructor: Walter M Frisch
  CULPA: 17 Info
• Instructor: Giuseppe Gerbino
  CULPA: 12 Info
• Instructor: Knar Abrahamyan
  Info
• Instructor: Mariusz Kozak
  CULPA: 4 h-index: 5 Info
• Instructor: George Lewis
  CULPA: 10 Wikipedia h-index: 18 Info
• 3 points

INDIV PROJECTS IN MUSICOLOGY

INDIV PROJ MUSICLGY/COMPOSITN

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

• Department: Music
• 3 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: Elaine Sisman
  CULPA: 13 Wikipedia Info
• Instructor: Benjamin A Steege
  Info
• Instructor: Christopher J Washburne
  CULPA: 31 Info
• Instructor: Ruth Opara
  Info
• 3 points

Applied Regression I

APPLIED REGRESSION I

This course will provide an introduction to the basics of regression analysis. The class will proceed systematically from the examination of the distributional qualities of the measures of interest, to assessing the appropriateness of the assumption of linearity, to issues related to variable inclusion, model fit, interpretation, and regression diagnostics. We will primarily use scalar notation (i.e. we will use limited matrix notation, and will only briefly present the use of matrix algebra).

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

ADVANCED EDITING WORKSHOP

• Department: Film
• M 2 p.m.-5 p.m.
• T 6 p.m.-9 p.m.
• Instructor: Elizabeth Kling
  Info
• 3 points

ADVANCED TOPICS IN IEOR

Market Design

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

• Department: Industrial Engineering and Operations Research
• MW 2:40 p.m.-3:55 p.m.
• Instructor: Jay Sethuraman
  CULPA: 10 Info
• 3 points

ADVANCED TOPICS IN IEOR

Causal Machine Learning

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: Anish Agarwal
  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
• TR 2:40 p.m.-3:55 p.m.
• Instructor: Kaizheng Wang
  CULPA: 1 h-index: 8 Info
• 3 points

ADVANCED TOPICS IN IEOR

High-Perf Computing: OR

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

• Department: Industrial Engineering and Operations Research
• F 2 p.m.-3:10 p.m.
• Instructor: Daniel Bienstock
  h-index: 38 Info
• 3 points

FICTION THESIS WORKSHOP

• Department: Writing
• F 10 a.m.-1 p.m.
• T 10 a.m.-1 p.m.
• F 10 a.m.-1 p.m.
• M 1:10 p.m.-4:10 p.m.
• T 1:10 p.m.-4:10 p.m.
• W 2 p.m.-5 p.m.
• T 1:10 p.m.-4:10 p.m.
• Instructor: Hannah L Assadi
  Info
• Instructor: Nana Adjei-Brenyah
  Info
• Instructor: Anelise I Chen
  Info
• Instructor: Samuel Lipsyte
  CULPA: 5 Info
• Instructor: Benjamin Marcus
  Info
• Instructor: Gary Shteyngart
  Wikipedia Info
• Instructor: Adam Z Wilson
  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
• 1-2 points

Ex. In-House Counsel

• Department: Law
• 1-2 points

Ex. In-House Counsel

• Department: Law
• 1-2 points

Ex. In-House Counsel

• Department: Law
• 1-2 points

TOPICS IN APPLIED STATISTICS

Interpretable ML

.

• Department: Statistics
• M 10:10 a.m.-noon
• Instructor: Genevera Allen
  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

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
• Instructor: Sarah M Sze
  CULPA: 1 Wikipedia Info
• 3 points

Patient Oriented Research Career Develop

POR CAREER DEVELOPMENT CO

The main objective of this course is to provide Columbia University's Clinical & Translational Science award trainees, students, and scholars with skills and knowledge that will optimize their chances of entering into a satisfying academic career. The course will emphasize several methodological and practical issues related to the development of a science career. The course will also offer support and incentives by facilitating timely use of CTSA resources, obtaining expert reviews on writing and curriculum vitae, and providing knowledge and resources for the successful achievement of career goals.

• Department: Biostatistics
• T 3 p.m.-3:50 p.m.
• Instructor: Marisa N Spann
  Info
• 0.5 points

Business Analytics II: Foundations of AI

Business Analytics II Hal

Business analytics refers to the ways in which enterprises such as businesses, non-profits, and governments use data to gain insights and make better decisions. Business analytics is applied in operations, marketing, finance, and strategic planning among other functions. Modern data collection methods – arising in bioinformatics, mobile platforms, and previously unanalyzable data like text and images – are leading an explosive growth in the volume of data available for decision making. The ability to use data effectively to drive rapid, precise, and profitable decisions has been a critical strategic advantage for companies as diverse as Walmart, Google, Capital One, and Disney. Many startups are based on the application of AI & analytics to large databases. With the increasing availability of broad and deep sources of information – so-called “Big Data” – business analytics are becoming an even more critical capability for enterprises of all types and all sizes. AI is beginning to impact every dimension of business and society. In many industries, you will need to be literate in AI to be a successful business leader. The Business Analytics sequence is designed to prepare you to play an active role in shaping the future of AI and business. You will develop a critical understanding of modern analytics methodology, studying its foundations, potential applications, and – perhaps most importantly – limitations.

• Department: Decision, Risk and Operations
• M 2:20 p.m.-5:35 p.m.
• T 9 a.m.-12:15 p.m.
• T 2:20 p.m.-5:35 p.m.
• Instructor: Hongseok Namkoong
  h-index: 11 Info
• 1.5 points

SEM-HIST MUSICOLOGY:MUSIC,MIND

• Department: Music
• W 10:10 a.m.-noon
• Instructor: Giuseppe Gerbino
  CULPA: 12 Info
• 3 points

Neuroscience

NEUROSCIENCE

This intensive 16-week course during the second term of the DPT curriculum provides students with detailed coverage of neuroscience. 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.  

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

DATA SCIENCE II

With the explosion of “Big Data” problems, statistical learning has become a very hot field in many scientific areas. The goal of this course is to provide the training in practical statistical learning. It is targeted to MS students with some data analysis experience.

• 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 2:20 p.m.-5:35 p.m.
• T 9 a.m.-12:15 p.m.
• T 2:20 p.m.-5:35 p.m.
• W 2:20 p.m.-5:35 p.m.
• R 9 a.m.-12:15 p.m.
• R 2:20 p.m.-5:35 p.m.
• W 9 a.m.-12:15 p.m.
• Instructor: Medini Singh
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• 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: Phyllis R Simon
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• Instructor: Katherine Dimitropoulou
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• Instructor: Patricia Precin
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• 1 points