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
- T 8:10 p.m.-10 p.m.
- T 6:10 p.m.-8 p.m.
-
Instructor:
David P McCarthy
Wikipedia Info -
Instructor:
Ciaran M McGuinness
Info - 3 points
INSURANCE RISK MANAGEMENT
- Department: Insurance Management
-
Instructor:
Kenneth Radigan
Info - 3 points
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
- T 4:10 p.m.-6 p.m.
- 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
Private Equity and Venture Cap
- Department: Accounting (ACCT)
- MTWRF 9 a.m.-5 p.m.
-
Instructor:
Faculty
h-index: 37 Info - 3 points
Private Equity and Venture Cap
- Department: Accounting (ACCT)
- MTWRF 9 a.m.-5 p.m.
-
Instructor:
Faculty
h-index: 37 Info - 3 points
European Financial Markets
- Department: Business Economics
- MTWRF 9 a.m.-5 p.m.
-
Instructor:
Faculty
h-index: 37 Info - 3 points
INDEPENDENT STUDY
- Department: Visual Arts
-
Instructor:
Seth Cluett
h-index: 4 Info -
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:
Rirkrit Tiravanija
Wikipedia Info -
Instructor:
Tomas Vu Daniel
CULPA: 4
Info
-
Instructor:
Daphne Arthur
Info -
Instructor:
Kenny Rivero
Info -
Instructor:
Miya Masaoka
Wikipedia Info - 1-3 points
SUPERVISED INTERSHIP IN SPORTS MANAGEMEN
INTERNSHIP IN SPORTS MGMT
- Department: Sports Management
-
Instructor:
Leonard Elmore
Info - 3 points
AI-ENHANCED FINDABILITY & SEMANTIC SYSTE
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
- W 6:10 p.m.-8 p.m.
-
Instructor:
Ralph Poole
h-index: 0 Info - 3 points
Independent Study
This one-semester course 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 and 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 and contribute new insight into the discipline of Political Analytics.
The topic can be chosen freely by the student as long as it falls within the general realm of Political Analytics or its specific content areas in the Political Analytics curriculum, such as politics and advocacy, data analytics, campaign management, polling, and quantitative methods. The course will therefore serve the dual purpose of allowing a student to pursue their own intellectual curiosity and to make a contribution to the wider discipline of Political Analytics while also deepening their understanding of the content they acquired in other courses, by applying this material to the specific topic chosen for the Independent Study.
- Department: Political Analytics
- 1-3 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.
-
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:
Sarbjit Singh
Info - 3 points
MASTER THESIS WORKSHOP
MASTER THESIS WKSHP (1 CREDIT)
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.
- None None-None
-
Instructor:
Arthur Kuflik
Info -
Instructor:
David N Hoffman
h-index: 2 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: Auditing
- T 6:10 p.m.-8 p.m.
-
Instructor:
Gregory Robinson
Info - 0 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:
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 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
-
Instructor:
Gonzalo Miranda Madrigal
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
-
Instructor:
Gonzalo Miranda Madrigal
Info - 3 points
Internship In NOPM
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: Non Profit Management
-
Instructor:
Gonzalo Miranda Madrigal
Info - 3 points
Internship in SPRT
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: Sports Management
-
Instructor:
Gonzalo Miranda Madrigal
Info - 3 points
Internship In SUMA
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: Sustainability Management
-
Instructor:
Gonzalo Miranda Madrigal
Info - 3 points
Internship In TMGT
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: Technology Management
-
Instructor:
Gonzalo Miranda Madrigal
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
- Department: Sustainability Management
-
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
-
Instructor:
Christoph J Meinrenken
h-index: 15 Info -
Instructor:
Katrina Pugh
h-index: 4 Info - 1-3 points
INDEPENDENT STUDY
- Department: Oral History
- R 1:10 p.m.-3 p.m.
-
Instructor:
Nyssa Chow
Info - 2-4 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
- R 4:10 p.m.-6 p.m.
- M 6:10 p.m.-8 p.m.
-
Instructor:
Elena B Krumova
Info -
Instructor:
Hadi Katesari
Info - 3-4 points
SUPERVISED INDIVIDUAL RESEARCH
- Department: Graduate School of Arts and Sciences
-
Instructor:
Syantani Chatterjee
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 Science
- T 6:10 p.m.-8 p.m.
-
Instructor:
Joseph Paul
Wikipedia Info - 3 points
Independent Study in Technology
The Independent Study in Technology course provides a dynamic platform for our top students, who are as ambitious as the Technology Management program itself. This course offers a special opportunity to engage deeply with a topic of personal or professional interest under the expert guidance of a faculty mentor. Designed to foster self-directed learning, the Independent Study allows students to explore new areas, deepen existing knowledge, or intersect different fields that are not covered in the standard curriculum.
Enrollment in this course is selective and intended for self-motivated students who demonstrate exceptional ability and initiative. Access to the course requires approval from the Program Director’s Office and endorsement from a faculty advisor who will work closely with the student throughout the study.
- Department: Technology Management
- M 8 p.m.-9:30 p.m.
-
Instructor:
Katja Schroeder
Info - 3 points
GRADUATE SPECIAL TOPIC
Health as a System
Current topics in biomedical engineering. Subject matter will vary by year.
- Department: Biomedical Engineering
- W 10:10 a.m.-12:40 p.m.
-
Instructor:
Henry Hess
CULPA: 1 h-index: 45 Info - 3 points
GRADUATE SPECIAL TOPIC
SciStory:Grants,Papers,En
Current topics in biomedical engineering. Subject matter will vary by year.
- Department: Biomedical Engineering
- M 2:30 p.m.-5:15 p.m.
-
Instructor:
Santiago Correa
Info - 3 points
Special Topics in Earth and Environmenta
Special Topics in Earth E
Current topics in earth and environmental engineering. Subject matter will vary by year. Instructors may impose prerequisites depending on the topic.
- Department: Earth and Environmental Engineering
- R noon-1:30 p.m.
-
Instructor:
Gregory Elsaesser
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
- W 2:10 p.m.-4 p.m.
-
Instructor:
Bruce Western
Wikipedia h-index: 59 Info - 4 points
Financial Accounting
- Department: Accounting (ACCT)
- TR 10:50 a.m.-12:20 p.m.
- TR 2:20 p.m.-3:50 p.m.
- TR 10:50 a.m.-12:20 p.m.
- TR 9 a.m.-10:30 a.m.
- TR 4:10 p.m.-5:40 p.m.
- TR 2:20 p.m.-3:50 p.m.
- TR 9 a.m.-10:30 a.m.
- TR 2:20 p.m.-3:50 p.m.
- TR 10:50 a.m.-12:20 p.m.
- TR 9 a.m.-10:30 a.m.
-
Instructor:
Wei Cai
Info -
Instructor:
Sang Wu
Info -
Instructor:
Syrena Shirley
Info - 3 points
PROJECTS-BIOMEDICAL INFORMATCS
Research in medical informatics under the direction of a faculty adviser.
- Department: Biomedical Informatics
-
Instructor:
Suzanne Bakken
Wikipedia h-index: 70 Info -
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:
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:
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:
Soojin Park
Info -
Instructor:
Tal Korem
h-index: 18 Info -
Instructor:
Shalmali Joshi
Info -
Instructor:
Pierre Elias
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
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 - 1-4 points