ERM CAPSTONE
Teams will work through a case assignment, demonstrating mastery of key learnings gained throughout the program on an integrated basis. A simulated case study is used: this is a combination of publicly-available information of an actual company and simulated ERM program details, based on a blend of current ERM programs and practices in the marketplace. Each team will assess the case study and recommend enhancements.
- Department: Enterprise Risk Management
- R 8:10 p.m.-10 p.m.
- W 6:10 p.m.-8 p.m.
- M 6:10 p.m.-8 p.m.
- T 8:10 p.m.-10 p.m.
- M 8:10 p.m.-10 p.m.
- R 6:10 p.m.-8 p.m.
- W 8:10 p.m.-10 p.m.
-
Instructor:
Xue Bai
Info -
Instructor:
Aristargos Christodoulou
Info -
Instructor:
Rajeev Dave
Info -
Instructor:
Benjamin M Perlman
Info -
Instructor:
Matthew Dorin
Info -
Instructor:
Bruce Fox
Info -
Instructor:
Aristargos Christodoulou
Info - 3 points
ERM CAPSTONE
ERM CAPSTONE (ONLINE)
Teams will work through a case assignment, demonstrating mastery of key learnings gained throughout the program on an integrated basis. A simulated case study is used: this is a combination of publicly-available information of an actual company and simulated ERM program details, based on a blend of current ERM programs and practices in the marketplace. Each team will assess the case study and recommend enhancements.
- Department: Enterprise Risk Management
- W 8:10 p.m.-10 p.m.
- R 6:10 p.m.-8 p.m.
-
Instructor:
David P McCarthy
Wikipedia Info -
Instructor:
Rich Lauria
Info - 3 points
INSURANCE RISK MANAGEMENT
- Department: Insurance Management
-
Instructor:
Kenneth Radigan
Info - 3 points
CAPSTONE
In the fourth semester, students will develop a comprehensive financial plan based
upon a specific client case, taking all elements of a client’s financial profile into
consideration. Students will be expected to demonstrate foundational knowledge
of all aspects of the wealth management curriculum in this course in order to
develop this financial plan. The capstone experience for this program is a dualfocus
on both the written as well as the oral components of the financial plan.
- Department: Wealth Management
-
Instructor:
Jason R Papier
Info - 3 points
INDEPENDENT STUDY
- Department: Visual Arts
-
Instructor:
Seth Cluett
h-index: 4 Info -
Instructor:
Miya Masaoka
Wikipedia Info -
Instructor:
James Hoff
Info - 1-6 points
INDEPENDENT STUDY
- Department: Visual Arts
-
Instructor:
Gregory Amenoff
CULPA: 6
Wikipedia
Info
-
Instructor:
Matthew E Buckingham
Wikipedia Info -
Instructor:
David A Cruz
Info -
Instructor:
Delphine A Fawundu
Wikipedia Info -
Instructor:
Jon Kessler
CULPA: 5 Wikipedia Info -
Instructor:
Shelly Silver
CULPA: 1 Info -
Instructor:
Rirkrit Tiravanija
Wikipedia Info -
Instructor:
Tomas Vu Daniel
CULPA: 4
Info
-
Instructor:
Dana J Lok
Info - 1-3 points
SUPERVISED INTERSHIP IN SPORTS MANAGEMEN
INTERNSHIP IN SPORTS MGMT
- Department: Sports Management
-
Instructor:
Jacqueline A Bartolomeo
Info - 3 points
Findability, Semantic Modeling, and Comp
FindabilitySemanticModeli
The fusion of traditional information science principles with advanced AI technologies is revolutionizing knowledge management. This course explores how artificial intelligence, particularly Large Language Models (LLMs), is transforming information organization, retrieval, and utilization in digital environments.
Students explore the world of AI-enhanced findability, learning to architect intelligent knowledge platforms that maximize the value of structured and unstructured data. The course covers:
Large Language Models (LLMs) and their game-changing applications in information retrieval
Vector databases and cognitive search capabilities
Advanced Natural Language Processing (NLP) and semantic technologies
Knowledge graphs and how they are being used to add meaning to LLMs
Machine learning for sophisticated classification and categorization
Ethical considerations in AI-powered information systems
Through hands-on projects culminating in the design of real-world applications, students will gain practical experience in architecting AI-enhanced information systems. You'll learn to make informed decisions about integrating AI technologies into information architecture, balancing traditional methods with cutting-edge solutions.
This course is ideal for future knowledge strategists, information architects, and AI enthusiasts who want to lead the next generation of intelligent information systems. Join us to explore the intersection of AI and information science and prepare to shape the future of knowledge work.
No programming experience is required—just your curiosity and readiness to engage with the forefront of information technology.
- Department: Information & Knowledge Strat
- R 6:10 p.m.-8 p.m.
-
Instructor:
Ralph Poole
h-index: 0 Info - 3 points
APPLIED WRITING
- Department: Narrative Medicine
- M 6:10 p.m.-9 p.m.
- R 3:10 p.m.-6 p.m.
-
Instructor:
Catherine G Rogers
Info - 4 points
SUPERVISED PROJECT IN SPORTS MANAGEMENT
FC BAYERN MUNCH
Projects are research intensive and vary according to partners and specialty.
Advanced standing in the Sports Management program, with at least 12 points/credits (4 courses) completed is required. A student may not exceed 6 points/credits (2 courses) of Supervised Projects, or take more than 3 points/credits (1 course) per semester.
- Department: Sports Management
- W 6:10 p.m.-8 p.m.
-
Instructor:
Grant J Son
Info - 3 points
SUPERVISED PROJECT IN SPORTS MANAGEMENT
SUPERVISED PROJ IN SPORTS
Projects are research intensive and vary according to partners and specialty.
Advanced standing in the Sports Management program, with at least 12 points/credits (4 courses) completed is required. A student may not exceed 6 points/credits (2 courses) of Supervised Projects, or take more than 3 points/credits (1 course) per semester.
- Department: Sports Management
- W 4:10 p.m.-6 p.m.
-
Instructor:
Laurajean Holmgren
Info - 3 points
MASTER THESIS WORKSHOP
MASTER THESIS WKSHP (1 CREDIT)
- Department: Bioethics
- F 11:30 a.m.-1:30 p.m.
-
Instructor:
Arthur Kuflik
Info - 1 points
LEADING LARGE COMPLEX PROJECTS
Project management has been important to many types of missions, projects, and activities for many years; however, it has been especially critical to the success of large complex projects across decades and centuries. Large complex projects span the globe across all industries and sectors. They also span concepts, product design, development, manufacturing, operations, and logistics, etc. Products may include hardware, software, services, product support, systems, and systems of systems, etc.
The primary focus of this course will be around project leadership as projects are planned and executed (project management). The course will start by recognizing the need and benefits of project management for large complex global projects, explore characteristics of project managers, and study the commonality and differences in types of projects. The course will continue with understanding the essential capabilities of project management, and analyze the variations in project lifecycles. The course will address managing risk throughout the project lifecycle, controls, and performance measurement, and maximizing the use of knowledge. Lastly, the course will visualize the future of projects and project management structure and core capabilities.
Our fundamental goal is to better prepare leaders for large complex global projects. This will be gained via readings; real-world case studies; and study, research, analysis, and exploration by the students. Therefore, the course will require students to engage in reflection, discussion, activities, and assignments aimed at personal unlearning and learning. The assignment and class discussions will be quite provocative to drive maximum learning.
- Department: Information & Knowledge Strat
- T 6:10 p.m.-8 p.m.
-
Instructor:
Gregory Robinson
Info - 3 points
MASTER THESIS (2 CREDIT)
Thesis requirement for Bioethics program. Taken with the Thesis Workshop (BIET K5991).
- Department: Bioethics
-
Instructor:
Sameer H Ladha
Info - 2 points
AI AND THE KNOWLEDGE-DRIVEN ORGANIZAT
AI & THE KNOWLEDGE-DRI
OVERVIEW: Artificial Intelligence is one of the most important technological developments in decades and has already begun to demonstrate significant improvements in healthcare, military, finance, retail, and the arts. In this class we will cover an intro to artificial intelligence with a specific lens on how knowledge driven organizations can benefit from AI. This course is not a coding or a computer science course, but does touch on high level concepts in statistics, data science, and software engineering, though no experience is necessary in these fields.
CONTENT & OBJECTIVES: You will learn how AI works, what are the best and worst use cases for AI, and the implications of implementing AI. As exciting as this space can be, there are real risks, ethical considerations, and new challenges that we will cover and discuss. By the end of the course, you will have a clear understanding of the possibilities with AI, how to implement AI in a knowledge driven organization, and the global nature of this technology. You will build on previous coursework of knowledge strategy and learn how AI accelerates knowledge management including search ranking, content recommendations, and people analytics.
LOGISTICS
:
Class meets once a week.
- Department: Auditing
- R 8:10 p.m.-10 p.m.
-
Instructor:
Benjamin P Royce
Info - 0 points
AI AND THE KNOWLEDGE-DRIVEN ORGANIZAT
AI & THE KNOWLEDGE-DRIVEN
OVERVIEW: Artificial Intelligence is one of the most important technological developments in decades and has already begun to demonstrate significant improvements in healthcare, military, finance, retail, and the arts. In this class we will cover an intro to artificial intelligence with a specific lens on how knowledge driven organizations can benefit from AI. This course is not a coding or a computer science course, but does touch on high level concepts in statistics, data science, and software engineering, though no experience is necessary in these fields.
CONTENT & OBJECTIVES: You will learn how AI works, what are the best and worst use cases for AI, and the implications of implementing AI. As exciting as this space can be, there are real risks, ethical considerations, and new challenges that we will cover and discuss. By the end of the course, you will have a clear understanding of the possibilities with AI, how to implement AI in a knowledge driven organization, and the global nature of this technology. You will build on previous coursework of knowledge strategy and learn how AI accelerates knowledge management including search ranking, content recommendations, and people analytics.
LOGISTICS
:
Class meets once a week.
- Department: Information & Knowledge Strat
- R 8:10 p.m.-10 p.m.
-
Instructor:
Benjamin P Royce
Info - 3 points
Perspectives on International and World
Persptvs on Int'l & World
This course gives students the opportunity to design their own curriculum: To attend lectures, conferences and workshops on historical topics related to their individual interests throughout Columbia University. Students may attend events of their choice, and are especially encouraged to attend those sponsored by the History Department (www.history.columbia.edu). (The Center for International History - cih.columbia.edu - and the Heyman Center for the Humanities - heymancenter.org/events/ - also have impressive calendars of events, often featuring historians.) The goal of this mini-course is to encourage students to take advantage of the many intellectual opportunities throughout the University, to gain exposure to a variety of approaches to history, and at the same time assist them in focusing on a particular area for their thesis topic.
- Department: History
-
Instructor:
Line Lillevik
Info - 1-3 points
Internship In APAN
This course requires you to experience firsthand a program-related job in a real working environment. You will engage in personal, environmental and organizational reflection. The ideal Internship will provide you an opportunity to gain tangible and practical knowledge in your chosen field by taking on a position that is closely aligned with your coursework and professional interests. Before registering for this course, you must have completed the Internship Application Form in which you will describe your internship sponsor and provide details about the work that you will be doing. This form must be signed by your internship supervisor and approved by your program director BEFORE you register for this course.
To receive instructor approval, the internship:
● Must provide an opportunity for the student to apply course concepts, either at the organizational or team level
● Must fit into the planned future program-related career path of the student
You must identify your own internship opportunities. The internship must involve a commitment to completing a minimum of 210 hours over the semester.
At the end of your course, you will submit an evaluation form to your internship supervisor. The evaluation form should be returned directly to the instructor
- Department: Applied Analytics
- F 2:10 p.m.-4 p.m.
-
Instructor:
Paul Maniaci
Info - 3 points
Internship In CNAD
This course requires you to experience firsthand a program-related job in a real working environment. You will engage in personal, environmental and organizational reflection. The ideal Internship will provide you an opportunity to gain tangible and practical knowledge in your chosen field by taking on a position that is closely aligned with your coursework and professional interests. Before registering for this course, you must have completed the Internship Application Form in which you will describe your internship sponsor and provide details about the work that you will be doing. This form must be signed by your internship supervisor and approved by your program director BEFORE you register for this course.
To receive instructor approval, the internship:
● Must provide an opportunity for the student to apply course concepts, either at the organizational or team level
● Must fit into the planned future program-related career path of the student
You must identify your own internship opportunities. The internship must involve a commitment to completing a minimum of 210 hours over the semester.
At the end of your course, you will submit an evaluation form to your internship supervisor. The evaluation form should be returned directly to the instructor
- Department: Construction Administration
- F 2:10 p.m.-4 p.m.
-
Instructor:
Paul Maniaci
Info - 3 points
Internship In ERM
This course requires you to experience firsthand a program-related job in a real working environment. You will engage in personal, environmental and organizational reflection. The ideal Internship will provide you an opportunity to gain tangible and practical knowledge in your chosen field by taking on a position that is closely aligned with your coursework and professional interests. Before registering for this course, you must have completed the Internship Application Form in which you will describe your internship sponsor and provide details about the work that you will be doing. This form must be signed by your internship supervisor and approved by your program director BEFORE you register for this course.
To receive instructor approval, the internship:
● Must provide an opportunity for the student to apply course concepts, either at the organizational or team level
● Must fit into the planned future program-related career path of the student
You must identify your own internship opportunities. The internship must involve a commitment to completing a minimum of 210 hours over the semester.
At the end of your course, you will submit an evaluation form to your internship supervisor. The evaluation form should be returned directly to the instructor
- Department: Enterprise Risk Management
- F 2:10 p.m.-4 p.m.
-
Instructor:
Paul Maniaci
Info - 3 points
NARRATIVE MEDICINE INDEP STUDY
- Department: Narrative Medicine
-
Instructor:
Sayantani T Dasgupta
CULPA: 2 Info - 1-4 points
Internship In SUMA
N/A
- Department: Sustainability Management
- F 2:10 p.m.-4 p.m.
-
Instructor:
Paul Maniaci
Info - 3 points
INDEPENDENT STUDY
This course offers students an opportunity to expand their curriculum beyond the established course offerings. Interested parties must consult with the QMSS Program Director before adding the class. This course may be taken for 2-4 points.
- Department: Quantitative Methods/Social Sciences
-
Instructor:
Gregory M Eirich
CULPA: 1 Info - 1-4 points
INDEPENDENT STUDY
Independent Study is a one- or three-credit course that can count toward the curriculum area requirement in Integrative Sustainability Management, Economics and Quantitative Analysis, Physical Dimensions, Public Policy, General and Financial Management, or Elective, with the approval of the faculty advisor. A final deliverable relating to the Sustainability Management curriculum is required at the end of the semester, and will be evaluated for a letter grade by the faculty advisor and reported to the SUMA program office.
- Department: Sustainability Management
-
Instructor:
Maria L Gray
Info - 1-3 points
INDEPENDENT STUDY
BIOETHICS INDEPENDENT STUDY
Various Independent Study opportunities available upon Program approval.
- Department: Bioethics
-
Instructor:
Sameer H Ladha
Info - 2-3 points
INDEPENDENT STUDY
BIOETHICS INDEPENDENT STUDY
Various Independent Study opportunities available upon Program approval.
- Department: Bioethics
-
Instructor:
Sameer H Ladha
Info - 2-3 points
INDEPENDENT STUDY
- Department: Sustainability Management
-
Instructor:
Maria L Gray
Info - 3 points
MASTER'S THESIS
This course fulfills the Masters Thesis requirement of the QMSS MA Program. It is designed to help you make consistent progress on your master’s thesis throughout the semester, as well as to provide structure during the writing process. The master’s thesis, upon completion, should answer a fundamental research question in the subject matter of your choice. It should be an academic paper based on data that you can acquire, clean, and analyze within a single semester, with an emphasis on clarity and policy relevance.
- Department: Quantitative Methods/Social Sciences
- T 4:10 p.m.-6 p.m.
-
Instructor:
Elena B Krumova
Info - 3-4 points
SUPERVISED INDIVIDUAL RESEARCH
- Department: Graduate School of Arts and Sciences
-
Instructor:
Quinn A Clark
Info - 1-4 points
CAPSTONE WORKSHOP IN SUSTAINABLE SCIENCE
Students study the sustainability science behind a particular sustainability problem, collect and analyze data using scientific tools, and make recommendations for solving the problem. The capstone course is a client-based workshop that will integrate each element of the curriculum into an applied project, giving students hands-on experience.
- Department: Sustainability Technology
- T 6:10 p.m.-8 p.m.
-
Instructor:
Joseph Paul
Wikipedia Info - 3 points
Recent Critical Works in Black Literary
Crit Wrk in Blk Lit & Cul
In recent years scholars of Black Literary and Cultural Studies have created an excited and innovative body of work that challenges traditional methods and forms of critical writing. Students in this graduate seminar will read a selection of these works in an effort to identify major methodological, theoretical, and critical concerns and trends in the field. We will also read two creative works, one an edition of a recently discovered novel that was found and edited by one of our scholars and the other a critically acclaimed novel written by another and the work of a third author that blurs the boundaries between creative, critical and theoretical. These have been chosen to demonstrate the scholarly practice theorized in the critical work, and the ways that the critic/creative writer engages similar concerns in different forms. Finally, one class will be devoted to the critical work of a recent Pulitzer Prize winner, whose academic training and practice have greatly informed her writing for a broader audience. Readings will be supplemented by visits from some of the authors as well as our own visit to archives at the Schomburg Center for Research in Black Culture.
- Department: African American and African Diaspora
- T 10:10 a.m.-noon
-
Instructor:
Farah Griffin
CULPA: 10
Wikipedia
Info
- 4-6 points
GRADUATE SPECIAL TOPIC
Instructive Biomaterials
Current topics in biomedical engineering. Subject matter will vary by year.
- Department: Biomedical Engineering
- T 1:10 p.m.-3:40 p.m.
-
Instructor:
Treena L Arinzeh
Wikipedia Info - 3 points
APPLIED RESEARCH
- Department: Insurance Management
-
Instructor:
Teresa W Chan
Info - 3 points
Intro Social Data Analysis I
Basic techniques for analyzing quantitative social science data. Emphasis on conceptual understanding as well as practical mastery of probability and probability distributions, inference, hypotheses testing, analysis of variance, simple regression, and multiple regression.
- Department: Sociology
- R 10:10 a.m.-noon
-
Instructor:
Yao Lu
h-index: 25 Info - 4 points
Financial Accounting
- Department: Accounting (ACCT)
- MW 10:50 a.m.-12:20 p.m.
-
Instructor:
Sehwa Kim
h-index: 1 Info -
Instructor:
Wei Cai
Info -
Instructor:
Sang Wu
Info - 3 points
RADIATIVE PROCESSES
Prerequisites: 3000-level electromagnetic theory and quantum mechanics. Radiation mechanisms and interaction of radiation with matter. Applications of classical and semiclassical radiation theory and atomic physics to astrophysical settings. Radiative transfer, polarization, scattering, line radiation, special relativity, bremsstrahlung, synchrotron radiation, inverse compton scattering, ionization losses, shocks and particle acceleration, plasma processes, atomic structure and spectroscopic terms, radiative transitions and oscillator strengths, curve of growth, molecular spectra.
- Department: Astronomy
- MW 1:10 p.m.-2:25 p.m.
-
Instructor:
Frederik Paerels
CULPA: 21
Info
- 3 points
PROJECTS-BIOMEDICAL INFORMATCS
Research in medical informatics under the direction of a faculty adviser.
- Department: Biomedical Informatics
-
Instructor:
Noemie Elhadad
Wikipedia h-index: 46 Info -
Instructor:
Chunhua Weng
h-index: 37 Info -
Instructor:
Andrea Califano
h-index: 77 Info -
Instructor:
Dennis Vitkup
Info -
Instructor:
Raul Rabadan
Wikipedia h-index: 72 Info -
Instructor:
Rita Kukafka
h-index: 28 Info -
Instructor:
George M Hripcsak
Info -
Instructor:
Herbert S Jr Chase
Info -
Instructor:
Olena Mamykina
Info -
Instructor:
Yufeng Shen
h-index: 47 Info -
Instructor:
Nicholas Tatonetti
Wikipedia h-index: 36 Info -
Instructor:
Karthik Natarajan
h-index: 17 Info -
Instructor:
Gamze Gursoy
Info -
Instructor:
Sarah A Rossetti
Info - 1-12 points
PROJECTS-BIOMEDICAL INFORMATCS
Research in medical informatics under the direction of a faculty adviser.
- Department: Biomedical Informatics
-
Instructor:
Harris Wang
h-index: 32 Info -
Instructor:
Tal Korem
h-index: 18 Info -
Instructor:
Shalmali Joshi
Info -
Instructor:
Pierre Elias
Info - 1-12 points
TOPICS IN BIOMED NANOTECHNOLOGY
Review and critical discussion of recent literature in nanobiotechnology and synthetic biology. Experimental and theoretical techniques, critical advances. Quality judgments of scientific impact and technical accuracy. Styles of written and graphical communication, the peer review process.
- Department: Biomedical Engineering
- R 2:30 p.m.-5 p.m.
- None None-None
-
Instructor:
Henry Hess
CULPA: 1 h-index: 45 Info - 3 points
EARTH SCIENCE COLLOQUIUM
Current topics in the Earth sciences.
- Department: Earth and Environmental Sciences
- F 3:30 p.m.-4:30 p.m.
-
Instructor:
Kaleigh B Matthews
Info - 1 points
ADVANCED PROJECTS
May be repeated for up to 6 points of credit. Graduate-level projects in various areas of electrical engineering and computer science. In consultation with an instructor, each student designs his or her project depending on the students previous training and experience. Students should consult with a professor in their area for detailed arrangements no later than the last day of registration.
- Department: Electrical Engineering
-
Instructor:
Dimitris Anastassiou
Wikipedia Info -
Instructor:
Keren Bergman
CULPA: 1 Wikipedia h-index: 69 Info -
Instructor:
Shih-Fu Chang
CULPA: 3
Wikipedia
h-index: 122
Info
-
Instructor:
Javad Ghaderi
h-index: 17 Info -
Instructor:
Christine P Hendon
Wikipedia h-index: 21 Info -
Instructor:
Predrag R Jelenkovic
CULPA: 1 h-index: 35 Info - 1-4 points