Capstone in Political Analytics
The capstone course is the culminating experience for students in the Political Analytics program. Students will have the opportunity to tackle a complex, real-world political analytics challenge for a sponsoring organization. The capstone provides students with analytics experience in a “live” setting and is intended to expose students to the problems, timelines, and communications needs of actual political decision-makers. Working in small teams while being mentored by a program faculty member, students will apply core knowledge, concepts, and frameworks acquired during the program and practice the hands-on skills they have developed in their classes. Throughout the semester, student project teams will interact with the sponsoring organizations as virtual consultants, scoping the problem, acquiring the data, conducting analyses, and ultimately presenting their findings and recommendations to the project sponsor.
- Department: Political Analytics
- R 6:10 p.m.-8 p.m.
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Instructor:
Sara Yeganeh
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
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Instructor:
Jason R Papier
Info - 3 points
DATA SCIENCE CONSULTING
- Department: Applied Analytics
- F 12:10 p.m.-2 p.m.
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Instructor:
David Shilane
Info - 3 points
APPLIED DEEP LEARNING AND AI
Deep Learning has become a cornerstone of Artificial Intelligence (AI), with applications in finance, healthcare, sports, autonomous vehicles, chatbots, national security, and artistic creations using elements of Natural Language Processing, Computer Vision, and Speech Recognition. Students will gain a solid foundation in Deep learning and its applications, starting with a compressed review of some Statistical Learning models followed by much deeper dive into Deep Neural Networks. Topics covered include Neural Networks, Convolutional Neural Networks (CNN), word embeddings, attention mechanisms, transformers, encoder-decoder architectures and Generative Adversarial Networks (GAN). Students will also learn training of agents to make optimal decisions in complex environments using Reinforcement Learning. Practical applications will demonstrate how to prepare, train, test, and validate these models.
- Department: Applied Analytics
- T 6:10 p.m.-8 p.m.
- W 8:10 p.m.-10 p.m.
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Instructor:
Siddhartha Dalal
Info -
Instructor:
Adrian Heilbut
h-index: 13 Info - 3 points
INDEPENDENT STUDY
N/A
- Department: Visual Arts
-
Instructor:
Miya Masaoka
Wikipedia Info - 1-6 points
INDEPENDENT STUDY
- Department: Visual Arts
-
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:
Naeem Mohaiemen
Wikipedia h-index: 8 Info -
Instructor:
Sable Smith
Wikipedia Info -
Instructor:
Tomas Vu Daniel
CULPA: 4
Info
- 1-3 points
BUSINESS ANTHROPOLOGY
OVERVIEW: Business Anthropology explores how awareness and mastery of the concepts and approaches of anthropology can be used to better manage organizations. Students will develop the skills to apply ethnographic methods, cultural analysis, and anthropological frameworks to uncover hidden dynamics within organizations, enhance knowledge sharing, and drive innovation. The course is particularly valuable for any student seeking to strengthen their ability to lead complex, knowledge-driven initiatives with cultural awareness, strategic empathy, and deeper human insight.
CONTENT: Through a combination of hands-on fieldwork, case studies, and strategic analysis, students will learn to identify tacit knowledge, navigate organizational cultures, and design more human-centered, resilient knowledge strategies. Topics include: Foundations of anthropology and its relevance to organizational strategy; ethnographic methods for business insight and knowledge discovery; organizational culture, tacit knowledge, and hidden knowledge flows; power, identity, and hierarchy as factors shaping knowledge practices; bridging qualitative and quantitative intelligence for strategic advantage; applied anthropology in business innovation, design thinking, and change management.
LOGISTICS: This course is delivered in a hybrid format, with some sessions occurring on-campus and some as synchronous online sessions. Sessions meet weekly at the regularly scheduled day and time regardless of modality; the modality of each session will be available on the syllabus prior to the start of the semester. No prerequisites. Open to all graduate students.
- Department: Information & Knowledge Strat
- M 6:10 p.m.-8 p.m.
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Instructor:
Jessica L Malloy
Info - 3 points
AI-ENHANCED FINDABILITY & SEMANTIC SYSTE
AI-EnhancedFindabil&Seman
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
- W 8:10 p.m.-10 p.m.
-
Instructor:
Ralph Poole
h-index: 0 Info - 3 points
APPLIED WRITING
- Department: Narrative Medicine
- R 6:10 p.m.-9 p.m.
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Instructor:
Jenessa R Abrams
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
- M 4:10 p.m.-6 p.m.
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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
- T 12:10 p.m.-2 p.m.
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Instructor:
Dana Rosenberg
Info - 3 points
MASTER THESIS WORKSHOP
TAKEN WITH BIET 5992 Master Thesis (2-credit).
The Workshop meets six times over four months. These sessions will assist students in starting to focus more fully on a topic and approach. During the Thesis Workshop, students will first speak informally for five minutes about a possible topic, followed by a more formal five-minute presentation and a draft of a one-page outline or abstract, proceeding to a more finalized outline or abstract. At each of these stages, students will receive feedback from the course director as well as fellow students.
- Department: Bioethics
- F 11:30 a.m.-1:30 p.m.
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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
- M 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:
Arthur Kuflik
Info - 2 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 6:10 p.m.-8 p.m.
- M 8:10 p.m.-10 p.m.
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Instructor:
Nitesh Goyal
Info -
Instructor:
Nicole Alexander
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 Industry - ACTU
Internship In ACTU
This asynchronous, 3-credit elective provides an immersive, supervised professional internship experience paired with structured reflection and applied academic work. Students integrate theory with practice while assessing organizational culture, ethical decision-making, feedback practices, and professional competencies. Through guided analysis and reflective assignments, students deepen self-awareness, strengthen career readiness, and clarify how their internship experience shapes future professional goals.
- Department: Actuarial Science
- 3 points
Internship in Industry - APAN
This asynchronous, 3-credit elective provides an immersive, supervised professional internship experience paired with structured reflection and applied academic work. Students integrate theory with practice while assessing organizational culture, ethical decision-making, feedback practices, and professional competencies. Through guided analysis and reflective assignments, students deepen self-awareness, strengthen career readiness, and clarify how their internship experience shapes future professional goals.
- Department: Applied Analytics
- 3 points
Internship in Industry - BIET
Internship in BIET
This asynchronous, 3-credit elective provides an immersive, supervised professional internship experience paired with structured reflection and applied academic work. Students integrate theory with practice while assessing organizational culture, ethical decision-making, feedback practices, and professional competencies. Through guided analysis and reflective assignments, students deepen self-awareness, strengthen career readiness, and clarify how their internship experience shapes future professional goals.
- Department: Bioethics
- 3 points
Internship in Industry - CNAD
Internship In CNAD
This asynchronous, 3-credit elective provides an immersive, supervised professional internship experience paired with structured reflection and applied academic work. Students integrate theory with practice while assessing organizational culture, ethical decision-making, feedback practices, and professional competencies. Through guided analysis and reflective assignments, students deepen self-awareness, strengthen career readiness, and clarify how their internship experience shapes future professional goals.
- Department: Construction Administration
- 3 points
Internship in Industry - ERM
Internship In ERM
This asynchronous, 3-credit elective provides an immersive, supervised professional internship experience paired with structured reflection and applied academic work. Students integrate theory with practice while assessing organizational culture, ethical decision-making, feedback practices, and professional competencies. Through guided analysis and reflective assignments, students deepen self-awareness, strengthen career readiness, and clarify how their internship experience shapes future professional goals.
- Department: Enterprise Risk Management
- 3 points
Internship in Industry - HCM
Internship In HCM
This asynchronous, 3-credit elective provides an immersive, supervised professional internship experience paired with structured reflection and applied academic work. Students integrate theory with practice while assessing organizational culture, ethical decision-making, feedback practices, and professional competencies. Through guided analysis and reflective assignments, students deepen self-awareness, strengthen career readiness, and clarify how their internship experience shapes future professional goals.
- Department: Human Capital Management
- 3 points
Internship in Industry - IKNS
Internship In IKNS
This asynchronous, 3-credit elective provides an immersive, supervised professional internship experience paired with structured reflection and applied academic work. Students integrate theory with practice while assessing organizational culture, ethical decision-making, feedback practices, and professional competencies. Through guided analysis and reflective assignments, students deepen self-awareness, strengthen career readiness, and clarify how their internship experience shapes future professional goals.
- Department: Information & Knowledge Strat
- 3 points
Internship in Industry - NECR
Internship in NECR
This asynchronous, 3-credit elective provides an immersive, supervised professional internship experience paired with structured reflection and applied academic work. Students integrate theory with practice while assessing organizational culture, ethical decision-making, feedback practices, and professional competencies. Through guided analysis and reflective assignments, students deepen self-awareness, strengthen career readiness, and clarify how their internship experience shapes future professional goals.
- Department: Negotiation & Conflict Resolution
- 3 points
Internship in Industry - NMED
Internship in NMED
This asynchronous, 3-credit elective provides an immersive, supervised professional internship experience paired with structured reflection and applied academic work. Students integrate theory with practice while assessing organizational culture, ethical decision-making, feedback practices, and professional competencies. Through guided analysis and reflective assignments, students deepen self-awareness, strengthen career readiness, and clarify how their internship experience shapes future professional goals.
- Department: Narrative Medicine
- 3 points
Internship in Industry - NOPM
Internship In NOPM
This asynchronous, 3-credit elective provides an immersive, supervised professional internship experience paired with structured reflection and applied academic work. Students integrate theory with practice while assessing organizational culture, ethical decision-making, feedback practices, and professional competencies. Through guided analysis and reflective assignments, students deepen self-awareness, strengthen career readiness, and clarify how their internship experience shapes future professional goals.
- Department: Non Profit Management
- 3 points
Internship in Industry - PMGT
This asynchronous, 3-credit elective provides an immersive, supervised professional internship experience paired with structured reflection and applied academic work. Students integrate theory with practice while assessing organizational culture, ethical decision-making, feedback practices, and professional competencies. Through guided analysis and reflective assignments, students deepen self-awareness, strengthen career readiness, and clarify how their internship experience shapes future professional goals.
- Department: Project Management
- 1.5 points
Internship in Industry - POAN
Internship In POAN
This asynchronous, 3-credit elective provides an immersive, supervised professional internship experience paired with structured reflection and applied academic work. Students integrate theory with practice while assessing organizational culture, ethical decision-making, feedback practices, and professional competencies. Through guided analysis and reflective assignments, students deepen self-awareness, strengthen career readiness, and clarify how their internship experience shapes future professional goals.
- Department: Political Analytics
- 3 points
Internship in Industry - SPRT
Internship in SPRT
This asynchronous, 3-credit elective provides an immersive, supervised professional internship experience paired with structured reflection and applied academic work. Students integrate theory with practice while assessing organizational culture, ethical decision-making, feedback practices, and professional competencies. Through guided analysis and reflective assignments, students deepen self-awareness, strengthen career readiness, and clarify how their internship experience shapes future professional goals.
- Department: Sports Management
- 3 points
Internship in Industry - SUMA
Internship In SUMA
This asynchronous, 3-credit elective provides an immersive, supervised professional internship experience paired with structured reflection and applied academic work. Students integrate theory with practice while assessing organizational culture, ethical decision-making, feedback practices, and professional competencies. Through guided analysis and reflective assignments, students deepen self-awareness, strengthen career readiness, and clarify how their internship experience shapes future professional goals.
- Department: Sustainability Management
- 3 points
Internship in Industry - SUSC
Internship In SUSC
This asynchronous, 3-credit elective provides an immersive, supervised professional internship experience paired with structured reflection and applied academic work. Students integrate theory with practice while assessing organizational culture, ethical decision-making, feedback practices, and professional competencies. Through guided analysis and reflective assignments, students deepen self-awareness, strengthen career readiness, and clarify how their internship experience shapes future professional goals.
- Department: Sustainability Science
- 3 points
Internship in Industry - TMGT
This asynchronous, 3-credit elective provides an immersive, supervised professional internship experience paired with structured reflection and applied academic work. Students integrate theory with practice while assessing organizational culture, ethical decision-making, feedback practices, and professional competencies. Through guided analysis and reflective assignments, students deepen self-awareness, strengthen career readiness, and clarify how their internship experience shapes future professional goals.
- Department: Technology Management
- 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
- Department: Sustainability Science
-
Instructor:
Maria L Gray
Info - 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
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.
- W 6:10 p.m.-8 p.m.
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Instructor:
Elena B Krumova
Info -
Instructor:
Hadi Katesari
Info -
Instructor:
Maiko Yomogida
Info - 3-4 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:
Demissie Alemayehu
h-index: 14 Info - 6 points
Workshops in Sustainability Career Paths
Workshops in Sust Careers
The M.S. in Sustainability Management program is offering a panel workshop series, featuring SUMA alumni who will share firsthand insights into the courses that shaped their professional journeys. The workshops will offer a unique opportunity to hear how alumni applied their classroom learning in real-world sustainability careers across sectors, including corporate sustainability, sustainability finance, policy, consulting, environmental justice, and more.
This is a 0 credit ungraded course open to all students in the MS in Sustainability Management, MS in Sustainability Science, MPA in Environmental Science and Policy, MS in Climate, MS in Climate Finance, and MA in Climate and Society programs. Students can attend as many or as few workshops as they'd like, in person or virtually. The Zoom link and classroom location will be confirmed in the coming weeks.
Workshop dates and topics:
September 9 - Governmental Sustainability, Decarbonization, and Environmental Protection
September 16 - Corporate Sustainability
September 21 - Sustainability Finance
October 7 - Environmental Justice
October 14 - The Built Environment
October 21 - International Careers
November 11 - Energy Consulting
November 18 - Sustainability Analytics
December 2 - Nonprofit and Advocacy
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.
- 3 points
GRADUATE SPECIAL TOPIC
Signal Proc Med Devices
Current topics in biomedical engineering. Subject matter will vary by year.
- Department: Biomedical Engineering
- M 10:10 a.m.-12:40 p.m.
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Instructor:
Megan Heenan
Info - 3 points
APPLIED RESEARCH
- Department: Insurance Management
-
Instructor:
Teresa W Chan
Info - 3 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
- 0 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
PROJECTS-BIOMEDICAL INFORMATCS
- Department: Biomedical Informatics
-
Instructor:
Noemie Elhadad
Wikipedia h-index: 46 Info -
Instructor:
Chunhua Weng
h-index: 37 Info -
Instructor:
Mohammed Alquraishi
Info -
Instructor:
Andrea Califano
h-index: 77 Info -
Instructor:
Dennis Vitkup
Info -
Instructor:
Raul Rabadan
Wikipedia h-index: 72 Info -
Instructor:
George M Hripcsak
Info -
Instructor:
Olena Mamykina
Info -
Instructor:
Yufeng Shen
h-index: 47 Info -
Instructor:
Karthik Natarajan
h-index: 17 Info -
Instructor:
Gamze Gursoy
Info -
Instructor:
Sarah A Rossetti
Info - 1-12 points
PROJECTS-BIOMEDICAL INFORMATCS
- Department: Biomedical Informatics
-
Instructor:
Soojin Park
Info -
Instructor:
Tal Korem
h-index: 18 Info -
Instructor:
Shalmali Joshi
Info -
Instructor:
Matthew McDermott
Info -
Instructor:
Bianca Dumitrascu
Info -
Instructor:
Tarjinder Singh
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
Professional development and leadership
Prof Dev for Doctoral: 1s
For first year doctoral students, emphasizing the skills needed for success in orienting them to Columbia and doctoral studies, including teaching and presentation skills (i.e., Microteaching, how to grade, hold office hours, conduct recitations, etc.); cultivating relationships with mentors, faculty, and colleagues; inclusivity; managing your budget; wellness; research and academic integrity and ethics.
- Department: Engineering
- 0 points
Professional development and leadership
Prof Dev for Doctoral: 2n
ENGI E6002 is designed for second year doctoral students, emphasizing the skills needed for continued success in the doctoral program, including presentation and communication skills; academic writing skills; academic conference preparation; resiliency and project management skills.
- Department: Engineering
- 0 points
A Practical Approach to Second Language
Second Language Teaching
This graduate seminar serves as a continuation of SPPO GR6001 (“Theory and Practice of Second Language Teaching”) and it is intended for in-service instructors of language, and language and content courses at the Department of Latin American and Iberian Cultures at Columbia University. It focuses on the application in the second language (SL) classroom of the pedagogical principles reviewed in the previous semester, with emphasis on methodological approaches and applied techniques.
Students will be directly mentored regarding the classroom treatment and presentation of grammatical, lexical, socio-cultural, and pragmatic aspects of the language in the SL classroom. From a communicative approach and beyond, they will also continue to engage with basic teaching techniques such as lesson planning, use of the target language, technology integration, task design, and the use of written and oral authentic materials. They will learn practically how to promote the development of students’ abilities for literacy and critical thinking. Finally, they will be carefully guided through the actual design and implementation of testing and assessment measures for the course they are teaching. In this seminar, we will also analyze real and potential case scenarios that will/may arise in the classroom and we will consider tactics to resolve problems that typically occur. Reflective teaching practices (teachers as learners of teaching, dynamics of classroom communication, the role of teachers’ beliefs about pedagogical practices) will be revisited and rethought.
- Department: Latin American and Iberian Cultures
- F 1 p.m.-3 p.m.
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Instructor:
Francisca Aguilo Mora
CULPA: 5
Info
- 2 points
Professional development and leadership
Prof Dev for Doctoral: 3r
For third year doctoral students to facilitate career exploration including teaching, presentation and communication skills; public speaking and facilitation; CV and resume writing; and Getting Things Done.
- Department: Engineering
- 0 points
Professional development and leadership
Prof Dev for Doctoral: 4t
For fourth year doctoral students supporting job search and degree completion, including searching for job opportunities (Academia, Industry); interview preparation; creating an academic portfolio; conducting a job talk; negotiation and mediation skills.
- Department: Engineering
- 0 points
BIOMEDICAL DESIGN II
Second semester of project-based design experience for graduate students. Elements of design process, with focus on skills development, prototype development and testing, and business planning. Real-world training in biomedical design, innovation, and entrepreneurship.
- Department: Biomedical Engineering
- MW 2:10 p.m.-4 p.m.
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Instructor:
Megan Heenan
Info - 3 points
The Central Dogma: Mechanisms and Regula
THE CENTRAL DOGMA
- Department: Biological Sciences
- MW 10:10 a.m.-11:25 a.m.
- 3 points
MESAAS RESEARCH COLLOQUIUM
This course provides a structured setting for stand-alone M.A. students in their final year and Ph.D. students in their second and third years to develop their research trajectories in a way that complements normal coursework. The seminar meets approximately biweekly and focuses on topics such as research methodology; project design; literature review, including bibliographies and citation practices; grant writing. Required for MESAAS graduate students in their second and third year.
- Department: Middle Eastern, South Asian and African Studies
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Instructor:
Alison Vacca
Info - 2 points
ENVIRONMENTAL DATA ANALYSIS
- Department: Architecture, Planning and Preservation
- M 3 p.m.-5 p.m.
- 3 points
HISTORY & THEORY OF THEATRE
- Department: Theatre Arts
- R 2:10 p.m.-5 p.m.
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Instructor:
Margaret K Araneo
Info - 3 points
CROSS-GENRE SEMINAR
THE WRITER AS TEACHER
CROSS-GENRE SEMINAR
- Department: Writing
- T 10 a.m.-1 p.m.
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Instructor:
Keri E Bertino
Info - 3 points
CROSS-GENRE SEMINAR
POETRY FOR PROSE WRITERS
CROSS-GENRE SEMINAR
- Department: Writing
- T 10 a.m.-noon
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Instructor:
Monica Ferrell
Info - 3 points
CROSS-GENRE SEMINAR
THE COMMA SUTRA: GRAMMAR
CROSS-GENRE SEMINAR
- Department: Writing
- T 4:15 p.m.-6:15 p.m.
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Instructor:
Barbara K Fischer
Info - 3 points
CROSS-GENRE SEMINAR
Editing and the Writer
CROSS-GENRE SEMINAR
- Department: Writing
- W 5:15 p.m.-7:15 p.m.
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Instructor:
Brigid Hughes
Wikipedia Info - 3 points
CROSS-GENRE SEMINAR
THE WRITER AS TEACHER
CROSS-GENRE SEMINAR
- Department: Writing
- R 10 a.m.-1 p.m.
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Instructor:
Dorothea S Lasky
Wikipedia Info - 3 points
CROSS-GENRE SEMINAR
SHORT PROSE FORMS
CROSS-GENRE SEMINAR
- Department: Writing
- R 4:15 p.m.-6:15 p.m.
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Instructor:
Alan Ziegler
CULPA: 5
Info
- 3 points
EFFECTIVE PARTNERSHIP STRATEGIES FOR HUM
PARTNERSHIP FOR HCM SOLUT
- Department: Human Capital Management
- W 8:30 p.m.-10 p.m.
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Instructor:
Melanie Rosenwasser
Info - 3 points
ASTROPHYSICS I
Prerequisites: a strong undergraduate background in E-M and classical mechanics. Qualified undergraduates may be admitted with the instructors permission. The basic physics of high energy astrophysical phenomena. Protostars, equations of stellar structure; radiative transfer theory; stellar nucleosynthesis; radiative emission processes; equations of state and cooling theory for neutron stars and white dwarfs, Oppenheimer-Volkoff equation; Chandrasekhar limit; shocks and fluids; accretion theory for both disks and hard surfaces; black hole orbits and light bending.
- Department: Physics
- MW 2:40 p.m.-3:55 p.m.
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Instructor:
Charles J Hailey
CULPA: 42 Wikipedia Info - 3 points
Cosmology, Black Holes, and Gravity
The course will include a brief introduction to General Relativity and black holes; the majority of the time will be spent on Cosmology. It will include an overview of gravitational waves.
- Department: Astronomy
- MW 1:10 p.m.-2:25 p.m.
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Instructor:
Maximiliano Isi Banales
Info - 3 points
OLD RUSSIAN LITERATURE
- Department: Slavic Languages
- T 4:10 p.m.-6 p.m.
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Instructor:
Valentina Izmirlieva
CULPA: 14 Info - 4 points