MASTERS RESEARCH OR PROJECT

Prerequisite(s): Approval by a faculty member who agrees to supervise the work. Independent work involving experiments, computer programming, analytical investigation, or engineering design.

• Department: Industrial Engineering and Operations Research
• Instructor: Adam N Elmachtoub
  CULPA: 1 h-index: 13 Info
• Instructor: Yuri Faenza
  h-index: 11 Info
• Instructor: Donald Goldfarb
  CULPA: 1 Wikipedia h-index: 55 Info
• Instructor: Vineet Goyal
  h-index: 21 Info
• Instructor: Ali Hirsa
  h-index: 8 Info
• Instructor: Garud Iyengar
  CULPA: 6 h-index: 30 Info
• Instructor: Hardeep Johar
  Info
• Instructor: Cedric Josz
  CULPA: 2 h-index: 13 Info
• Instructor: Soulaymane Kachani
  CULPA: 12 Info
• Instructor: Christian Kroer
  h-index: 16 Info
• Instructor: Daniel Lacker
  CULPA: 4 h-index: 13 Info
• Instructor: Henry Lam
  h-index: 17 Info
• Instructor: Uday Menon
  Info
• Instructor: Jay Sethuraman
  CULPA: 10 Info
• Instructor: Karl Sigman
  CULPA: 15 Info
• Instructor: Clifford Stein
  CULPA: 31 Wikipedia h-index: 53 Info
• Instructor: Wenpin Tang
  h-index: 6 Info
• Instructor: Van Anh Truong
  CULPA: 2 Info
• Instructor: Kaizheng Wang
  CULPA: 1 h-index: 8 Info
• Instructor: David D Yao
  CULPA: 5 Info
• Instructor: Yi Zhang
  CULPA: 2 Info
• Instructor: Xunyu Zhou
  h-index: 54 Info
• Instructor: Carmen Ng
  Info
• 1-3 points

MADE IN AMER: MAFIA IN CINEMA

In this course (whose title is taken from the name of the final episode of The Sopranos) we focus on America’s three greatest practitioners of the so-called “Mafia Movie.” In the first half of the course we examine representations of Mafia in the films of Coppola and Scorsese; in the second half, we perform a comprehensive reading of The Sopranos, a serial that redefined not only the gangster genre, but the aesthetic possibilities of television itself. In addition to our close-readings of the primary cinematic texts, we will pay attention to literary, historical, and anthropological sources on Mafia, both in America and in Italy. In the unit on The Sopranos, we will also consider connections to other contemporary representations of American gangsterism, particularly in the medium of television. Critical avenues privileged will include gender, sexuality, criminal and political economy, poetics of place, internationalism, dialect, plurilingualism and the politics of language, ethnicity and race, diaspora, philosophies of violence, philosophies of power.

• Department: Summer Session (SUMM)
• MW 1 p.m.-4:10 p.m.
• Instructor: Stefan Pedatella
  CULPA: 36 Info
• 3 points

Beginner Medical Spanish

BEGINNER MEDICAL SPANISH

This class is designed for the beginner student to gain working level knowledge of basic Spanish vocabulary, verb conjugation, and medical terminology for use in a clinical setting. In addition to short lectures to facilitate grammar and usage patterns, class time will be used for intensive speaking practice to improve pronunciation, enhance comprehension, and build confidence in using Spanish through the use of hypothetical scenarios, student presentations, and small group discussions to improve Spanish language and Spanish language proficiency.

• Department: Nursing
• T 4:30 p.m.-5:50 p.m.
• Instructor: Ana I Esteban Gonzalez
  Info
• 1 points

Intermediate Medical Spanish

INTERMEDIATE MEDICAL SPAN

This class is designed for the intermediate student to gain a more advanced level knowledge of Spanish vocabulary, verb conjugation, and medical terminology for use in a clinical setting. In addition to short lectures to facilitate grammar and usage patterns, class time will be used for intensive speaking practice to improve pronunciation, enhance comprehension, and build confidence in using Spanish through the use of hypothetical scenarios, student presentations, and small group discussions to improve Spanish language and Spanish language proficiency.

• Department: Nursing
• T 6 p.m.-7:20 p.m.
• Instructor: Ana I Esteban Gonzalez
  Info
• 1 points

REVOL/RAD POLITICS-MARX-MAY'68

This seminar will expose students to classical texts in political theory relating to revolutionary action, political ethics and social militancy from the Communist Manifesto to 1968. The course will explore the idea of revolutionary ethics as conceived by Western and non-Western political philosophers and militants. The discussion will stress the connection between philosophers and revolutionary leaders and the transformation of the idea of radical politics through the dialogue between these two discourses (the philosophical and the militant) and the public reception of revolutionary events in the media and commemorative writings. Authors will be examined according to their historical context and their role in the tradition of political thought and the history of radical politics from 1848 to the mid-sixties. Students will be exposed to different discourses of political militancy and radical politics and to reflect on the ethical implications of the history of radical thought and action in comparative perspective.

• Department: Summer Session (SUMM)
• TR 1 p.m.-5 p.m.
• Instructor: Alheli Alvarado-Diaz
  CULPA: 9 Info
• 4 points

TOPICS IN COMPUTER SCIENCE

ML W/ APPLICATIONS IN FINANCE

Prerequisites: Instructor's permission. Special topics arranged as the need and availability arises. Topics are usually offered on a one-time basis. Since the content of this course changes each time it is offered, it may be repeated for credit. Consult the department for section assignment.

• Department: Computer Science
• MW 5:30 p.m.-8:40 p.m.
• Instructor: German G Creamer
  CULPA: 3 h-index: 15 Info
• 3 points

TOPICS IN COMPUTER SCIENCE

C++ FOR C PROGRAMMERS

Prerequisites: Instructor's permission. Special topics arranged as the need and availability arises. Topics are usually offered on a one-time basis. Since the content of this course changes each time it is offered, it may be repeated for credit. Consult the department for section assignment.

• Department: Computer Science
• TR 4:10 p.m.-7:20 p.m.
• Instructor: Jae W Lee
  CULPA: 42 Info
• 3 points

TOPICS IN COMPUTER SCIENCE

From algorithm to dev

Prerequisites: Instructor's permission. Special topics arranged as the need and availability arises. Topics are usually offered on a one-time basis. Since the content of this course changes each time it is offered, it may be repeated for credit. Consult the department for section assignment.

• Department: Computer Science
• TR 5:30 p.m.-8:40 p.m.
• Instructor: Brian Borowski
  Info
• 3 points

TOPICS IN COMPUTER SCIENCE

Advanced Deep Learning

Prerequisites: Instructor's permission. Special topics arranged as the need and availability arises. Topics are usually offered on a one-time basis. Since the content of this course changes each time it is offered, it may be repeated for credit. Consult the department for section assignment.

• Department: Computer Science
• MW 1 p.m.-4:10 p.m.
• Instructor: Iddo Drori
  CULPA: 3 h-index: 15 Info
• 3 points

TOPICS IN COMPUTER SCIENCE

ML W/ APPLICATIONS IN FINANCE

Prerequisites: Instructor's permission. Special topics arranged as the need and availability arises. Topics are usually offered on a one-time basis. Since the content of this course changes each time it is offered, it may be repeated for credit. Consult the department for section assignment.

• Department: Video Network
• Instructor: German G Creamer
  CULPA: 3 h-index: 15 Info
• 3 points

TOPICS IN COMPUTER SCIENCE

C++ FOR C PROGRAMMERS

Prerequisites: Instructor's permission. Special topics arranged as the need and availability arises. Topics are usually offered on a one-time basis. Since the content of this course changes each time it is offered, it may be repeated for credit. Consult the department for section assignment.

• Department: Video Network
• Instructor: Jae W Lee
  CULPA: 42 Info
• 3 points

TOPICS IN COMPUTER SCIENCE

Advanced Deep Learning

Prerequisites: Instructor's permission. Special topics arranged as the need and availability arises. Topics are usually offered on a one-time basis. Since the content of this course changes each time it is offered, it may be repeated for credit. Consult the department for section assignment.

• Department: Video Network
• Instructor: Iddo Drori
  CULPA: 3 h-index: 15 Info
• 3 points

SUPERVISED INDIVIDUAL RESEARCH

• Department: Ethnicity and Race, Center for
• Instructor: Judith Russell
  CULPA: 49 Info
• 1-4 points

MS PROJECTS IN MECH ENGINEER

MS PROJECTS IN MECH ENGINEERIN

Master's level independent project involving theoretical, computational, experimental, or engineering design work. May be repeated, subject to Master's Program guidelines. Students must submit both a project outline prior to registration and a final project write-up at the end of the semester.

• Department: Mechanical Engineering
• Instructor: Gerard H Ateshian
  CULPA: 3 Info
• Instructor: Arvind Narayanaswamy
  CULPA: 9 h-index: 26 Info
• Instructor: Yevgeniy Yesilevskiy
  h-index: 7 Info
• Instructor: James Hone
  CULPA: 11 h-index: 124 Info
• Instructor: Kristin Myers
  CULPA: 3 h-index: 25 Info
• Instructor: Richard W Longman
  CULPA: 6 h-index: 45 Info
• Instructor: Jeffrey W Kysar
  CULPA: 9 h-index: 37 Info
• Instructor: Vijay Modi
  CULPA: 3 h-index: 40 Info
• Instructor: Peter J. Schuck
  Info
• Instructor: Y. Lawrence Yao
  CULPA: 3 h-index: 95 Info
• Instructor: Qiao Lin
  h-index: 41 Info
• Instructor: Matei T Ciocarlie
  Info
• Instructor: Michael J Massimino
  Wikipedia Info
• Instructor: Michael Burke
  h-index: 22 Info
• Instructor: Sunil Agrawal
  Wikipedia h-index: 65 Info
• Instructor: Sinisa Vukelic
  CULPA: 2 h-index: 11 Info
• Instructor: Hod Lipson
  Wikipedia h-index: 79 Info
• Instructor: Karen Kasza
  h-index: 17 Info
• Instructor: Vijay Vedula
  h-index: 17 Info
• 1-3 points

MS PROJECTS IN MECH ENGINEER

MS PROJECTS IN MECH ENGINEERIN

Master's level independent project involving theoretical, computational, experimental, or engineering design work. May be repeated, subject to Master's Program guidelines. Students must submit both a project outline prior to registration and a final project write-up at the end of the semester.

• Department: Mechanical Engineering
• 1-3 points

SUPERVISED READINGS

• Department: Physics
• Instructor: Gustaaf Brooijmans
  CULPA: 11 Info
• 3 points

SUPERVISED INTERNSHIP

Only for masters students in the Department of Applied Physics and Applied Mathematics who may need relevant work experience a part of their program of study. Final report required. May not be taken for pass/fail or audited.

• Department: Applied Physics and Applied Mathematics
• Instructor: Michael E Mauel
  CULPA: 9 Info
• Instructor: Kui Ren
  CULPA: 2 Info
• Instructor: Klaus A Hamacher
  Info
• 1-3 points

FIELDWORK

Only for BMEN graduate students who need relevant work experience as part of their program of study. Final reports required. May not be taken for pass/fail credit or audited.

• Department: Biomedical Engineering
• Instructor: Clark T Hung
  CULPA: 5 h-index: 65 Info
• 1-2 points

FIELDWORK

• Department: Chemical Engineering
• Instructor: Kathy Marte-Garcia
  Info
• 1-3 points

FIELDWORK

May be repeated for credit, but no more than 3 total points may be used for degree credit. Only for Civil Engineering and Engineering Mechanics graduate students who include relevant off-campus work experience as part of their approved program of study. Final report and letter of evaluation required. May not be taken for pass/fail credit or audited.

• Department: Civil Engineering and Engineering Mechanics
• 1-2 points

FIELDWORK

Only EAEE graduate students who need relevant off-campus work experience as part of their program of study as determined by the instructor. Written application must be made prior to registration outlining proposed study program. Final reports required. This course may not be taken for pass/ fail credit or audited. International students must also consult with the International Students and Scholars Office.

• Department: Earth and Environmental Engineering
• Instructor: Athanasios Bourtsalas
  Info
• 1 points

SUPERVISED INDIVIDUAL RSRCH

• Department: English and Comparative Literature
• Instructor: Julie Crawford
  CULPA: 24 Info
• 3 points

INDEPENDENT STUDY

• Department: English and Comparative Literature
• Instructor: David M Yerkes
  CULPA: 41 Info
• 1-4 points

FIELDWORK

Only for IEOR graduate students who need relevant work experience as part of their program of study. Final reports required. May not be taken for pass/fail credit or audited.

• Department: Industrial Engineering and Operations Research
• 1-2 points

FIELDWORK

Only for ME graduate students who need relevant off-campus work experience as part of their program of study as determined by the instructor. Written application must be made prior to registration outlining proposed study program. Final reports required. May not be taken for pass/fail credit or audited. International students must consult with the International Students and Scholars Office.

• Department: Mechanical Engineering
• Instructor: Hod Lipson
  Wikipedia h-index: 79 Info
• 1 points

WORKPLACE COMMUNICATION IN ENGLISH

WORKPLACE COMM IN ENGLISH

English communication proficiency is important for academic achievement and career success. Columbia Engineering provides English communication instruction for students who would like to improve their communication skills in English. In a small group setting (15-20 students), enrollees will obtain opportunities to interact with the instructor and fellow classmates to improve communication skills.

• Department: Engineering
• TR 10:10 a.m.-11:50 a.m.
• Instructor: Hyoseon Lee
  Info
• 0 points

Financial Accounting

• Department: Accounting (ACCT)
• FS 9 a.m.-10:15 a.m.
• Instructor: Radha Radhakrishna
  Info
• 3 points

Financial Accounting

• Department: Accounting (ACCT)
• FS 9 a.m.-10:15 a.m.
• MS 9 a.m.-10:15 a.m.
• None None-None
• Instructor: Radha Radhakrishna
  Info
• Instructor: Amir Ziv
  Info
• Instructor: Faculty
  h-index: 37 Info
• 3 points

INTRODUCTION TO FINANCE

Students will be introduced to the fundamental financial issues of the modern corporation. By the end of this course, students will understand the basic concepts of financial planning, managing growth; debt and equity sources of financing and valuation; capital budgeting methods; and risk analysis, cost of capital, and the process of securities issuance.

• Department: School of Professional Studies (DVSP)
• TR 6:10 p.m.-8 p.m.
• T 6:10 p.m.-8 p.m.
• Instructor: Stephen Hurley
  Info
• Instructor: Benedict O Okoh
  CULPA: 1 Info
• 3 points

PROFESSIONAL PRESENTATION

• Department: Engineering
• TR 1 p.m.-2:40 p.m.
• MW 7 p.m.-8:40 p.m.
• Instructor: Hyoseon Lee
  Info
• 0 points

PROFESSIONAL COMMUNICATION IN ENGLISH

PROFESSIONAL COMM IN ENGL

• Department: Engineering
• TR 3 p.m.-4:40 p.m.
• Instructor: Hyoseon Lee
  Info
• 0 points

CORPORATE FINANCE

Prerequisites: BUSI PS5001 Introduction to Finance/or Professor Approval is required Students will learn the critical corporate finance concepts including financial statement analysis; performance metrics; valuation of stocks and bonds; project and firm valuation; cost of capital; capital investment strategies and sources of capital, and firm growth strategies. At the end of this course students will understand how to apply these concepts to current business problems.

• Department: School of Professional Studies (DVSP)
• MW 6:10 p.m.-8 p.m.
• T 8:10 p.m.-10 p.m.
• Instructor: John D Van Ness
  Info
• Instructor: Kevin Sweeney
  Info
• 3 points

FINANCIAL ACCOUNTING

Students will examine the generally accepted account principles (GAAP) underlying financial statements and their implementation in practice. The perspective and main focus of the course is from the users of the information contained in the statements, including investors, financial analysts, creditors and, management. By the end of this class students will be able to construct a cash flow statement, balance sheet and decipher a 10K report.

• Department: School of Professional Studies (DVSP)
• MW 10:10 a.m.-noon
• W 8:10 p.m.-10 p.m.
• Instructor: Christos I Giannikos
  Info
• Instructor: Rebecca Shaffer
  Info
• 3 points

INDEPENDENT STUDY

• Department: Engineering
• T 2 p.m.-3:40 p.m.
• Instructor: Hyoseon Lee
  Info
• 0 points

MANAGING HUMAN BEHAVIOR IN THE ORGANIZAT

Students will gain an overview of major concepts of management and organization theory, concentrating on understanding human behavior in organizational contexts, with heavy emphasis on the application of concepts to solve managerial problems. By the end of this course students will have developed the skills to motivate employees, establish professional interpersonal relationships, take a leadership role, and conduct performance appraisal.

• Department: School of Professional Studies (DVSP)
• TR 4:10 p.m.-6 p.m.
• T 6:10 p.m.-8 p.m.
• Instructor: Jacqueline Strayer
  Info
• Instructor: Skye Cleary
  Info
• 3 points

MANAGING HUMAN BEHAVIOR IN THE ORGANIZAT

MNG HUMAN BEHAVIOR IN THE

• Department: Enterprise Risk Management
• W 6:10 p.m.-8 p.m.
• R 6:10 p.m.-8 p.m.
• Instructor: Susan Parker
  Info
• Instructor: Patti Ippoliti
  Info
• 3 points

DATA ANALYSIS WITH PYTHON

This course is meant to provide an introduction to regression and applied statistics for the social sciences, with a strong emphasis on utilizing the Python software language to perform the key tasks in the data analysis workflow. Topics to be covered include various data structures, basic descriptive statistics, regression models, multiple regression analysis, interactions, polynomials, Gauss-Markov assumptions and asymptotics, heteroskedasticity and diagnostics, data visualization, models for binary outcomes, models for ordered data, first difference analysis, factor analysis, and cluster analysis. Through a variety of lab assignments, students will be able to generate and interpret quantitative data in helpful and provocative ways. Only relatively basic mathematics skills are assumed, but some more advanced math will be introduced as needed. A previous introductory statistics course that includes linear regression is helpful, but not required.

• Department: Summer Session (SUMM)
• MW 9 a.m.-12:10 p.m.
• Instructor: Gregory M Eirich
  CULPA: 1 Info
• 3 points

INTRODUCTION TO MARKETING

Students will learn fundamental marketing concepts and their application. By the end of this class you will know: the elements of a market, company strategy, how to identify customers and competition, the fundamental elements of the marketing mix (product, price, placement and promotion) how to research consumer behavior, and pricing strategies. Students will have extensive use of case study projects. Please note that there are separate online and in-person versions of the course, and the modalities offered may vary by semester. Be sure to check the modalities of the sections offered and enroll in the correct modality for your situation.

• Department: School of Professional Studies (DVSP)
• MW 6:10 p.m.-8 p.m.
• Instructor: Beth Hirschhorn
  Info
• 3 points

THEORY & PRACTICE OF LIFE CYCLE ASSESSME

THEORY & PRAC LIFE CYCL ASSMNT

Life Cycle Assessment (LCA), a methodology to assess the environmental impact of products, services, and industrial processes is an increasingly important tool in corporate sustainability management. This course teaches both the theoretical framework as well as step-by-step practical guidelines of conducting LCAs in companies and organizations. Particular emphasis is placed on separating the more academic, but less practically relevant aspects of LCA (which will receive less focus) from the actual practical challenges of LCA (which will be covered in detail, including case studies). The course also covers the application of LCA metrics in a companies’ management and discusses the methodological weaknesses that make such application difficult, including how these can be overcome. Product carbon footprinting (as one form of LCA) receives particular focus, owing to its widespread practical use in recent and future sustainability management.

• Department: Sustainability Management
• MW 6:10 p.m.-8 p.m.
• 3 points

MARKETING STRATEGY

Prerequisites: BUSI PS5020 Introduction to Marketing/or Professor Approval is required Students will develop analytical skills used to formulate and implement marketing driven strategies for an organization. Students will develop a deeper understanding of marketing strategies and how to implement tactics to achieve desired goals. Students will work on case study projects in both individual and a team based projects. By the end of this course you will be able to develop a marketing strategy based market assessments and company needs.

• Department: School of Professional Studies (DVSP)
• M 6:10 p.m.-8 p.m.
• Instructor: Sandy Becker
  Info
• 3 points

CORPORATE SUSTAINABILITY REPORTING AND S

CORP SUST REPORTING & STR

The purpose of this course is to provide an overview of trends and best practices in corporate communications relating to sustainability, with a particular focus on global sustainability reporting frameworks and green marketing communications. It is designed for those who hold/will hold positions in organizations with responsibilities for communicating the sustainability goals, challenges and achievements, as well as accurately and honestly communicating the environmental aspects of an organization's products and services. Increasingly, large corporations are creating c-suite roles or dedicated departments to oversee this function. More typically, multiple functions contribute information such as: Corporate Communications, Marketing, Community Affairs, Public Policy, Environmental Health & Safety, R&D, Facilities, Operations and Legal. Benefits of reporting range from building trust with stakeholders, and uncovering risks and opportunities; to contributing to stronger long-term business strategy, and creating new products and services.

• Department: Sustainability Management
• TR 6:10 p.m.-8 p.m.
• 3 points

ENTREPRENEURSHIP: DEVELOP/IMPLEMENT NEW

This course is designed for students interested in entrepreneurship and becoming CEO/Founders or leaders in industry as innovators and operators. The class is appropriate for those with a strong interest in new ventures or innovation at the corporate level, or for those who want to develop an entrepreneurial mindset even if you have no plans to start a business. This includes potential entrepreneurs, those interested in the financing of new ventures, working in new ventures, or a portfolio company, or in broader general management of entrepreneurial firms. Entrepreneurial topics include: the entrepreneurial journey, founders & co-founders, the art of the pitch, shaping opportunities, traditional business models, business models for the greater good, the lean startup method and the hypothesis-driven approach, technology strategy, product testing, marketing strategy, entrepreneurial marketing, venture financing and emerging developments. Academic readings, analysis of case studies, class discussions, independent exercises, reading assessments, team work, guest speakers, investor panels, weekly deliverable options and a final investor pitch are the main modalities used to help you learn and assist you on your entrepreneurial path. There are no prerequisites for this course.

• Department: School of Professional Studies (DVSP)
• R 6:10 p.m.-8 p.m.
• Instructor: Michael E Jr McGuire
  Info
• 3 points

DECISION MODELS & MANAGEMENT

This course provides an introduction to computer-based models for decision-making.  The emphasis is on models that are widely used in diverse industries and functional areas, including finance, accounting, operations, and marketing.  Applications will include advertising planning, revenue management, asset-liability management, environmental policy modeling, portfolio optimization, and corporate risk management, among others. The applicability and usage of computer-based models have increased dramatically in recent years, due to the extraordinary improvements in computer, information and communication technologies, including not just hardware but also model-solution techniques and user interfaces.  Twenty years ago working with a model meant using an expensive mainframe computer, learning a complex programming language, and struggling to compile data by hand; the entire process was clearly marked “experts only.”  The rise of personal computers, friendly interfaces (such as spreadsheets), and large databases has made modeling far more accessible to managers.  Information has come to be recognized as a critical resource, and models play a key role in deploying this resource, in organizing and structuring information so that it can be used productively.

• Department: Sustainability Management
• MW 6:10 p.m.-8 p.m.
• Instructor: Lucius J Riccio
  CULPA: 4 Info
• 3 points

GHG EMISSIONS: MEASURING AND MINIMIZING

GHG EMISSIONS CARBON FOOT

Global greenhouse gas (GHG) emissions are now at a record high, and the world’s scientific community agrees that continued unabated release of greenhouse gases will have catastrophic consequences. Many efforts to curb greenhouse gas emissions, both public and private, have been underway for decades, yet it is now clear that collectively these efforts are failing, and that far more concerted efforts are necessary. In December 2015, the world’s nations agreed in Paris to take actions to limit the future increase in global temperatures well below to 2°C, while pursuing efforts to limit the temperature increase even further to 1.5°C. Achieving this goal will require mitigation of greenhouse gas emissions from all sectors, both public and private. Critical to any attempt to mitigate greenhouse gas emissions is a clear, accurate understanding of the sources and levels of greenhouse gas emissions. This course will address all facets of greenhouse gas emissions accounting and reporting and will provide students with tangible skills needed to direct such efforts in the future. Students in this course will gain hands-on experience designing and executing greenhouse gas emissions inventories for companies, financial institutions and governments employing all necessary skills including the identification of analysis boundaries,  data collection, calculation of emissions levels, and reporting of results. In-class workshops and exercises will complement papers and group assignments. A key component of this course will be critical evaluation of both existing accounting and reporting standards as well as GHG emissions reduction target setting practices. This course will introduce many of the challenges facing carbon accounting practitioners and will require students to recommend solutions to these challenges derived through critical analysis. Classes will examine current examples of greenhouse gas reporting efforts and will allow students the opportunity to recommend improved calculation and reporting methods.

• Department: Sustainability Management
• TR 6:10 p.m.-8 p.m.
• Instructor: Jonathan C Dickinson
  CULPA: 1 Info
• 3 points

SECURITY ANALYSIS

Prerequisites: BUSI PS5001 Intro to Finance and BUSI PS5003 Corporate Finance or Professor Approval required. If you have not taken PS5001 or PS5003 at Columbia University, please contact the course instructor for approval. Students will learn about the valuation of publicly traded equity securities. By the end of the semester students will be able to perform fundamental analysis (bottoms-up, firm-level, business and financial analysis), prepare pro forma financial statements, estimate free cash flows and apply valuation models.

• Department: School of Professional Studies (DVSP)
• MW 6:10 p.m.-8 p.m.
• Instructor: Hany S Guirguis
  CULPA: 3 Info
• Instructor: Perry Beaumont
  h-index: 4 Info
• 3 points

INTRODUCTION TO HEALTH CARE NEGOTIATION

TBA

• Department: Negotiation & Conflict Resolution
• Instructor: Rodney K Jr. Erb
  Info
• 3 points

Entrepreneurial Principles and Quantitat

Entrepren & Quant Reasoni

This course is structured around class-wide and individual exercises that introduce students to the key principles of entrepreneurial thinking, such as identifying problems and opportunities, thinking creatively, developing minimally viable products (MVPs) and low fidelity prototypes, creating a reliable workflow, pivoting and course-correcting, finding valuable help, and developing productive habits. In addition, students are introduced to the key tools of quantitative reasoning, including surveys, observational data, experiments, simulation and projections, data analysis, statistical reasoning, organized researching, and persuasive and authoritative writing – and how those tools support entrepreneurial projects. Students should leave the class equipped with the sense that they themselves can produce constructive change in their world, along with a blueprint for how to go about getting it started.

• Department: Summer Session (SUMM)
• TR 9 a.m.-12:10 p.m.
• Instructor: Gregory M Eirich
  CULPA: 1 Info
• 3 points

NATURAL LANG PROCESSING SOCIAL SCIENCES

Social scientists need to engage with natural language processing (NLP) approaches that are found in computer science, engineering, AI, tech and in industry. This course will provide an overview of natural language processing as it is applied in a number of domains. The goal is to gain familiarity with a number of critical topics and techniques that use text as data, and then to see how those NLP techniques can be used to produce social science research and insights. This course will be hands-on, with several large-scale exercises. The course will start with an introduction to Python and associated key NLP packages and github. The course will then cover topics like language modeling; part of speech tagging; parsing; information extraction; tokenizing; topic modeling; machine translation; sentiment analysis; summarization; supervised machine learning; and hidden Markov models. Prerequisites are basic probability and statistics, basic linear algebra and calculus. The course will use Python, and so if students have programmed in at least one software language, that will make it easier to keep up with the course.

• Department: Summer Session (SUMM)
• MT 5:30 p.m.-8:40 p.m.
• Instructor: Patrick Houlihan
  Info
• 3 points

MACHINE LEARNING SOC SCI

Prerequisites: basic probability and statistics, basic linear algebra, and calculus This course will provide a comprehensive overview of machine learning as it is applied in a number of domains. Comparisons and contrasts will be drawn between this machine learning approach and more traditional regression-based approaches used in the social sciences. Emphasis will also be placed on opportunities to synthesize these two approaches. The course will start with an introduction to Python, the scikit-learn package and GitHub. After that, there will be some discussion of data exploration, visualization in matplotlib, preprocessing, feature engineering, variable imputation, and feature selection. Supervised learning methods will be considered, including OLS models, linear models for classification, support vector machines, decision trees and random forests, and gradient boosting. Calibration, model evaluation and strategies for dealing with imbalanced datasets, n on-negative matrix factorization, and outlier detection will be considered next. This will be followed by unsupervised techniques: PCA, discriminant analysis, manifold learning, clustering, mixture models, cluster evaluation. Lastly, we will consider neural networks, convolutional neural networks for image classification and recurrent neural networks. This course will primarily us Python. Previous programming experience will be helpful but not requisite. Prerequisites: basic probability and statistics, basic linear algebra, and calculus.

• Department: Summer Session (SUMM)
• MW 1 p.m.-4:10 p.m.
• Instructor: Michael Parrott
  Info
• 3 points