INDEPENDENT STUDY

• Department: Sports Management
• Instructor: Joshua B Garrison
  Info
• 3 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

• Department: Sustainability Science
• Instructor: Maria L Gray
  Info
• 3 points

Community Leadership Service Program

Zero Credit Enrichment

Community Leadership and Service Program " CLASP" will expose students to the non-for-profit world and provide them with hands-on experience that will complement their work in the classroom. Students will participate in a variety of project-based work to assist nonprofits to support their needs, advance their mission and successfully drive business objectives.

At the beginning of each semester, students will provide their bios and resumes and complete a brief survey in order to be matched to a nonprofit organization within the sports industry. 

Each student will receive an overview of the organization and the project they will be supporting for the course of the semester or school year.  Once the matching process occurs, introductory calls will be scheduled and projects will be transferred to the students. 
Each project requires a minimum of 40 hours for the semester for full-time students and 20 hours for part-time students. 

This 0 credit course is a program requirement and failure to complete the hours of service and supplemental office hours will result in a graduation hold.

• Department: Sports Management
• Instructor: Jacqueline A Bartolomeo
  Info
• 0 points

Community Leadership Service Program

Zero Credit Enrichment

Community Leadership and Service Program " CLASP" will expose students to the non-for-profit world and provide them with hands-on experience that will complement their work in the classroom. Students will participate in a variety of project-based work to assist nonprofits to support their needs, advance their mission and successfully drive business objectives.

At the beginning of each semester, students will provide their bios and resumes and complete a brief survey in order to be matched to a nonprofit organization within the sports industry. 

Each student will receive an overview of the organization and the project they will be supporting for the course of the semester or school year.  Once the matching process occurs, introductory calls will be scheduled and projects will be transferred to the students. 
Each project requires a minimum of 40 hours for the semester for full-time students and 20 hours for part-time students. 

This 0 credit course is a program requirement and failure to complete the hours of service and supplemental office hours will result in a graduation hold.

• Department: Sports Management
• Instructor: Jacqueline A Bartolomeo
  Info
• 0 points

IKNS INDEPENDENT STUDY

Overview
: This 1 semester course (elective, IKNS students only, hybrid) provides an opportunity for a student to extend or supplement their educational experience via a deep-dive into an established or novel area of research of their choice (the topic), under the guidance & supervision of a faculty member (the supervisor). An independent study course allows a student to work one-on-one with a faculty member to gain & contribute new insight into the discipline of Knowledge Management.

Topic/objective
: The topic is chosen by the student as long as it falls within the general realm of Knowledge Management or its specific content areas in the IKNS curriculum, such as IT systems, knowledge organizing systems, data repositories, business data analytics including machine learning & AI, learning processes, collaboration, dialogue, team & project management, transformational leadership, change management, digital transformation, or digital product innovation. The course will therefore serve the dual purpose of allowing a student to pursue their own intellectual curiosity & to make a contribution to the wider discipline of Knowledge Management. In addition, students will deepen their understanding of the content they acquired in other courses, by applying this content to the specific topic chosen for the Independent Study.

Logistics
: Ahead of registration, the student meets with the supervisor to discuss & agree on (i) the topic & the relevant IKNS curriculum area(s); (ii) the timeline of deliverables, milestones, & contact hours for the semester; & (iii) the number of credits. The student summarizes these points in a ~1 pg
Independent Study Proposal
. The student can register for the course only once the supervisor & the Academic Director agree to & sign the
Independent Study Proposal
(which includes the topic, the IKNS curriculum area, the number of credits, & the assigned supervisor). The number of credits (1-3) will be commensurate with the scope of the Independent Study. The scope can range from a summary of existing sources (typically 1 credit. 5-10 pg report), to a synthesis or meta-analysis of existing & new sources, e.g., interviews withSMEs (typically 2 credits, 10-15 pg report), to a comprehensive study which adds the student’s own critical discussion & suggestions to the topic (typically 3 credits; 15-20 pg report).

• Department: Information & Knowledge Strat
• 1-3 points

IKNS INDEPENDENT STUDY

Overview
: This 1 semester course (elective, IKNS students only, hybrid) provides an opportunity for a student to extend or supplement their educational experience via a deep-dive into an established or novel area of research of their choice (the topic), under the guidance & supervision of a faculty member (the supervisor). An independent study course allows a student to work one-on-one with a faculty member to gain & contribute new insight into the discipline of Knowledge Management.

Topic/objective
: The topic is chosen by the student as long as it falls within the general realm of Knowledge Management or its specific content areas in the IKNS curriculum, such as IT systems, knowledge organizing systems, data repositories, business data analytics including machine learning & AI, learning processes, collaboration, dialogue, team & project management, transformational leadership, change management, digital transformation, or digital product innovation. The course will therefore serve the dual purpose of allowing a student to pursue their own intellectual curiosity & to make a contribution to the wider discipline of Knowledge Management. In addition, students will deepen their understanding of the content they acquired in other courses, by applying this content to the specific topic chosen for the Independent Study.

Logistics
: Ahead of registration, the student meets with the supervisor to discuss & agree on (i) the topic & the relevant IKNS curriculum area(s); (ii) the timeline of deliverables, milestones, & contact hours for the semester; & (iii) the number of credits. The student summarizes these points in a ~1 pg
Independent Study Proposal
. The student can register for the course only once the supervisor & the Academic Director agree to & sign the
Independent Study Proposal
(which includes the topic, the IKNS curriculum area, the number of credits, & the assigned supervisor). The number of credits (1-3) will be commensurate with the scope of the Independent Study. The scope can range from a summary of existing sources (typically 1 credit. 5-10 pg report), to a synthesis or meta-analysis of existing & new sources, e.g., interviews withSMEs (typically 2 credits, 10-15 pg report), to a comprehensive study which adds the student’s own critical discussion & suggestions to the topic (typically 3 credits; 15-20 pg report).

• Department: Information & Knowledge Strat
• Instructor: Katrina Pugh
  h-index: 4 Info
• Instructor: Blake Dicosola
  Info
• 1-3 points

IKNS INDEPENDENT STUDY

Overview
: This 1 semester course (elective, IKNS students only, hybrid) provides an opportunity for a student to extend or supplement their educational experience via a deep-dive into an established or novel area of research of their choice (the topic), under the guidance & supervision of a faculty member (the supervisor). An independent study course allows a student to work one-on-one with a faculty member to gain & contribute new insight into the discipline of Knowledge Management.

Topic/objective
: The topic is chosen by the student as long as it falls within the general realm of Knowledge Management or its specific content areas in the IKNS curriculum, such as IT systems, knowledge organizing systems, data repositories, business data analytics including machine learning & AI, learning processes, collaboration, dialogue, team & project management, transformational leadership, change management, digital transformation, or digital product innovation. The course will therefore serve the dual purpose of allowing a student to pursue their own intellectual curiosity & to make a contribution to the wider discipline of Knowledge Management. In addition, students will deepen their understanding of the content they acquired in other courses, by applying this content to the specific topic chosen for the Independent Study.

Logistics
: Ahead of registration, the student meets with the supervisor to discuss & agree on (i) the topic & the relevant IKNS curriculum area(s); (ii) the timeline of deliverables, milestones, & contact hours for the semester; & (iii) the number of credits. The student summarizes these points in a ~1 pg
Independent Study Proposal
. The student can register for the course only once the supervisor & the Academic Director agree to & sign the
Independent Study Proposal
(which includes the topic, the IKNS curriculum area, the number of credits, & the assigned supervisor). The number of credits (1-3) will be commensurate with the scope of the Independent Study. The scope can range from a summary of existing sources (typically 1 credit. 5-10 pg report), to a synthesis or meta-analysis of existing & new sources, e.g., interviews withSMEs (typically 2 credits, 10-15 pg report), to a comprehensive study which adds the student’s own critical discussion & suggestions to the topic (typically 3 credits; 15-20 pg report).

• Department: Information & Knowledge Strat
• 1-3 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
• M 4:10 p.m.-6 p.m.
• R 6:10 p.m.-8 p.m.
• T 2:10 p.m.-4 p.m.
• M 4:10 p.m.-6 p.m.
• Instructor: Elena B Krumova
  Info
• 3-4 points

Professional Development Requirement

Zero Credit Enrichment

PDR is designed to expose incoming students to the program’s professional development and improvement offerings and provide you with industry and career experiences that will complement your work in the classroom, enhance and enrich your experience in the program and prepare you for your next career steps in the sports industry.

The PDR requirements have been divided into 2 categories: Core and Elective.


Each incoming 
full-time 
student will need to attend/complete a minimum of 40 hours of PDR events in order to graduate, including a minimum of 20 Core hours.  

Each incoming 
part-time 
student will need to attend/complete a minimum of 20 hours of PDR events in order to graduate, including a minimum of 10 Core hours.  


You will fulfill the PDR requirements by participating in and attending events such as:


project-based educational work

networking events

career coaching and advising

industry discussions and information sessions and workshops

• Department: Sports Management
• Instructor: Jennifer Dick
  Info
• 0 points

Professional Development Requirement

Zero Credit Enrichment

PDR is designed to expose incoming students to the program’s professional development and improvement offerings and provide you with industry and career experiences that will complement your work in the classroom, enhance and enrich your experience in the program and prepare you for your next career steps in the sports industry.

The PDR requirements have been divided into 2 categories: Core and Elective.


Each incoming 
full-time 
student will need to attend/complete a minimum of 40 hours of PDR events in order to graduate, including a minimum of 20 Core hours.  

Each incoming 
part-time 
student will need to attend/complete a minimum of 20 hours of PDR events in order to graduate, including a minimum of 10 Core hours.  


You will fulfill the PDR requirements by participating in and attending events such as:


project-based educational work

networking events

career coaching and advising

industry discussions and information sessions and workshops

• Department: Sports Management
• Instructor: Jennifer Dick
  Info
• 0 points

MA Research Specialization in Statistics

Research Specialization/S

Each year, approximately 10–15% of MA in Statistics students participate in on-campus academic research, contributing to advances in statistical methodology and applied areas. Some projects demonstrate exceptional promise and benefit from additional time and support for further development. The MA Research Specialization in Statistics allows qualified students to extend their MA program to a fourth semester to continue their research under the supervision of a faculty mentor. This competitive, merit-based program requires demonstrated research progress, a nomination from a faculty mentor, and an outstanding academic record. STAT GR5999 serves as the course through which students admitted to the MA Research Specialization fulfill their research requirements.

• Department: Statistics
• Instructor: Gabriel Young
  CULPA: 7 Info
• 6 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 Science
• T 6:10 p.m.-8 p.m.
• Instructor: Beizhan Yan
  h-index: 31 Info
• 3 points

GRADUATE SPECIAL TOPIC

Trends in Genomics

Current topics in biomedical engineering. Subject matter will vary by year.

• Department: Biomedical Engineering
• F 1 p.m.-3 p.m.
• Instructor: Sanja Vickovic
  Info
• 3 points

Ready 4 MCY

• Department: Medicine
• 0 points

THE TEACHING OF MATHEMATICS

A seminar required of all incoming graduate students, designed to instill effective teaching techniques.

• Department: Mathematics
• R 2:40 p.m.-3:55 p.m.
• Instructor: George Dragomir
  CULPA: 5 Info
• 0 points

WORKSHOP (CERT)

This workshop provides an intense immersion in the methods and skills of narrative medicine. Lectures will open up themes of how stories work, creativity, ethics, bearing witness, and empathy, while the small groups practice rigorous skills in close reading, creative writing, and responding to the writings of others. The learning objectives of the workshops are to 1) provide personal contact to introduce and solidify intersubjective relationships among participants; 2) to ignite use of methods that have been and will be utilized in the on-line component, e.g., writing to prompts from literary texts and responding to both form and content of colleagues’ writing; 3) plenary lectures from the architects of the discipline of Narrative Medicine in the foundational theories to be studied; 4) scheduled cultural learning opportunities of New York City (music, museums, literary readings) for shared creative experiences; 5) contact with Master of Science in Narrative Medicine graduate program for certification participants toward their understanding of the breadth of the field and the potential for their continuing to study NM after the CPA; 6) introduction to the national and international reach of Columbia Narrative Medicine so that participants grasp the value and magnitude of the community they have entered as certification program students. Participants will be given the chance to present their own works-in-progress to assembled participants and faculty as a jump-start to collaborative projects during and after the participation in the certification program.

• Department: Narrative Medicine
• Instructor: Cindy K Smalletz
  Info
• 0 points

Leadership in Action

MIA & MPA Leadership and Management I Core. 
Leadership in Action
integrates strategic leadership frameworks, real-world case studies, and an immersive multi-week simulation to build students’ capacity to lead in complex, high-stakes environments. Through a sequence of applied exercises, ranging from team formation and innovation design to crisis response, students will develop critical skills in decision-making, influence, and organizational change. The course emphasizes adaptive leadership, cross-sector collaboration, and ethical judgment, equipping students to lead effectively under conditions of uncertainty and pressure.

• Department: International and Public Affairs
• R 1:10 p.m.-3 p.m.
• R 7:10 p.m.-9 p.m.
• M 7:10 p.m.-9 p.m.
• T 7:10 p.m.-9 p.m.
• R 10 a.m.-11:50 a.m.
• R 1:10 p.m.-3 p.m.
• T 5:10 p.m.-7 p.m.
• R 5:10 p.m.-7 p.m.
• Instructor: Gary Bagley
  Info
• 1.5 points

Financial Accounting

• Department: Accounting (ACCT)
• TR 10:50 a.m.-12:20 p.m.
• F 11 a.m.-12:30 p.m.
• TR 10:50 a.m.-12:20 p.m.
• TR 2:20 p.m.-3:50 p.m.
• Instructor: Yao Liu
  h-index: 3 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: Harris Wang
  h-index: 32 Info
• Instructor: Andrea Califano
  h-index: 77 Info
• Instructor: Dennis Vitkup
  Info
• Instructor: Raul Rabadan
  Wikipedia h-index: 72 Info
• Instructor: Matthew McDermott
  Info
• Instructor: George M Hripcsak
  Info
• Instructor: Pierre Elias
  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
• Instructor: Bianca Dumitrascu
  Info
• 1-12 points

PROJECTS-BIOMEDICAL INFORMATCS

Research in medical informatics under the direction of a faculty adviser.

• Department: Biomedical Informatics
• Instructor: Soojin Park
  Info
• Instructor: Tarjinder Singh
  Info
• Instructor: Mohammed Alquraishi
  Info
• Instructor: Tal Korem
  h-index: 18 Info
• Instructor: Shalmali Joshi
  Info
• Instructor: Orson Xu
  Info
• 1-12 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

RESPONSIBLE CONDUCT-RES/POLICY

• Department: Neurobiology and Behavior
• W noon-1:30 p.m.
• 1 points

Intro Social Data Analysis II

Corequisites: SOCI G4076 This course examines quantitative methods used in sociology. Students will need to have completed SOCI GR4074 before enrolling. The approach taken in this class is highly applied with an emphasis on developing practical skills for data analysis. We begin with a focus on linear models, discussing the regression model as a tool for data description and causal analysis. We then introduce generalized linear models and conclude by reviewing some special applied including weighting and missing data. Data analysis for the course will be conducted in Stata which is available for download from the department of Sociology.

• Department: Sociology
• M 4:10 p.m.-6 p.m.
• Instructor: Gerard Torrats-Espinosa
  h-index: 6 Info
• 4 points

SUPPLEMENTAL ACTIVITIES

• Department: Social Work
• Instructor: Mary R Sawyer
  Info
• 0 points

Theory & Practice of Second Language Tea

Theory& Practice Lang Tea

This graduate seminar serves as an introduction to second language (SL) teaching for in-service instructors of language, and language and content courses. It highlights pedagogical principles, methodological strategies, and practical activities that are critical for new instructors teaching SL courses at the university level for the first time at Columbia University.

Students consider major theoretical constructs (culture, language, mind, metaphor, communication, context) and contemporary teaching approaches in the field of instructed second language acquisition (concept-based teaching, communicative language teaching, literacy-oriented approaches, task-project based learning). They will also engage with basic teaching techniques (lesson planning, use of the target language, technology integration, task design, grammar teaching, utilization of written and oral authentic materials in the classroom), reflective teaching practices (teachers as learners of teaching, dynamics of classroom communication, the role of teachers’ beliefs about pedagogical practices), and the design of testing and assessment measures (contextualized test design, portfolios, and grading criteria).

The main goal of the course is to connect critical pedagogy as well as sociocultural and cognitive theories with classroom practice through guest workshops, collaborative discussion, online forums, lesson plan design, observation of SL classrooms, peer feedback, and portfolio development.

• Department: Latin American and Iberian Cultures
• F 1 p.m.-3 p.m.
• Instructor: Francisca Aguilo Mora
  CULPA: 5 Info
• 2 points

METHODS III: RESEARCH METHODS

• Department: Biomedical Informatics
• TR 10:30 a.m.-11:45 a.m.
• Instructor: Olena Mamykina
  Info
• 3 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
• Instructor: Xiaofan Jiang
  h-index: 24 Info
• Instructor: Ethan Katz-Bassett
  h-index: 31 Info
• Instructor: Dion Khodagholy Araghy
  Info
• Instructor: Peter Kinget
  CULPA: 1 h-index: 47 Info
• Instructor: Zoran Kostic
  CULPA: 1 h-index: 24 Info
• Instructor: Harish Krishnaswamy
  Info
• Instructor: Ioannis Kymissis
  CULPA: 4 h-index: 48 Info
• Instructor: Aurel A Lazar
  h-index: 53 Info
• Instructor: Michal Lipson
  CULPA: 1 Wikipedia h-index: 114 Info
• Instructor: Nima Mesgarani
  h-index: 35 Info
• Instructor: Debasis Mitra
  Wikipedia h-index: 61 Info
• Instructor: John W Paisley
  CULPA: 1 Info
• Instructor: Matthias Preindl
  h-index: 26 Info
• Instructor: Mingoo Seok
  h-index: 31 Info
• Instructor: Kenneth Shepard
  CULPA: 2 Wikipedia h-index: 64 Info
• Instructor: Tanvir Ahmed Khan
  Info
• Instructor: Yannis P Tsividis
  CULPA: 4 Wikipedia Info
• Instructor: David G Vallancourt
  CULPA: 28 Info
• Instructor: Wen I Wang
  CULPA: 1 Info
• Instructor: Xiaodong Wang
  CULPA: 15 Info
• Instructor: John Wright
  CULPA: 1 h-index: 44 Info
• Instructor: Charles A Zukowski
  CULPA: 5 Wikipedia Info
• Instructor: Gil Zussman
  CULPA: 3 h-index: 39 Info
• Instructor: Alexander Gaeta
  Wikipedia h-index: 89 Info
• Instructor: Savannah Eisner
  Info
• Instructor: James Anderson
  h-index: 18 Info
• Instructor: Asaf Cidon
  h-index: 20 Info
• Instructor: Xiang Meng
  h-index: 8 Info
• Instructor: Micah Goldblum
  Info
• Instructor: Homayoon Beigi
  Info
• Instructor: Henning G Schulzrinne
  CULPA: 12 Info
• 1-4 points

SEMINAR & PRODUCTION

Conflict & OSINT Reportin

• Department: Journalism
• T 6 p.m.-9 p.m.
• 6 points