PROJECTS IN COMPUTER SCIENCE

Software or hardware projects in computer science. Before registering, the student must submit a written proposal to the instructor for review. The proposal should give a brief outline of the project, estimated schedule of completion, and computer resources needed. Oral and written reports are required. May be taken over more than one semester, in which case the grade will be deferred until all 12 points have been completed. No more than 12 points of COMS E6901 may be taken. Consult the department for section assignment.

• Department: Computer Science
• Instructor: Chris Murphy
  Info
• Instructor: Zhuo Zhang
  Info
• 1-12 points

RSRCH COMPUTING EARTH SCI

Prerequisites: Graduate student status, calculus, or instructor permission Priority given to first year PhD students in the Department of Earth and Environmental Sciences. Computing has become an indispensable tool for Earth Scientists. This course will introduce incoming DEES PhD students to modern computing software, programming tools and best practices that are broadly applicable to carrying out research in the Earth Sciences. This includes an introduction to Unix, programming in three commonly used languages (Python, MATLAB and Fortran), version control and data backup, tools for visualizing geoscience data and making maps. Students will learn the basics of high performance computing and big data analysis tools available on cluster computers. Student learning will be facilitated through a combination of lectures, in-class exercises, homework assignments and class projects. All topics will be taught through example datasets or problems from Earth Sciences. The course is designed to be accessible for Earth Science graduate students in any discipline.

• Department: Earth and Environmental Sciences
• TR 2:40 p.m.-3:55 p.m.
• Instructor: Yutian Wu
  h-index: 15 Info
• 3 points

THESIS

Available to M.S. and CSE candidates. An independent investigation of an appropriate problem in computer science carried out under the supervision of a faculty member. A formal written report is essential and an oral presentation may also be required. May be taken over more than one semester, in which case the grade will be deferred until all 9 points have been completed. No more than 9 points of COMS E6902 may be taken. Consult the department for section assignment.

• Department: Computer Science
• Instructor: Daniel Bauer
  CULPA: 17 h-index: 13 Info
• Instructor: Noemie Elhadad
  Wikipedia h-index: 46 Info
• Instructor: Steven K Feiner
  CULPA: 18 Wikipedia Info
• Instructor: Roxana Geambasu
  CULPA: 2 Wikipedia h-index: 20 Info
• Instructor: Richard Zemel
  Wikipedia Info
• Instructor: Julia Hirschberg
  CULPA: 8 h-index: 77 Info
• Instructor: Suman Jana
  h-index: 33 Info
• Instructor: Josh Alman
  Info
• Instructor: Mohammed Alquraishi
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• Instructor: Daniel S Rubenstein
  CULPA: 29 Info
• Instructor: Ansaf Salleb-Aouissi
  CULPA: 21 h-index: 16 Info
• Instructor: Henning G Schulzrinne
  CULPA: 12 Info
• Instructor: Salvatore J Stolfo
  CULPA: 10 Wikipedia Info
• Instructor: Eugene Wu
  CULPA: 1 h-index: 32 Info
• Instructor: Junfeng Yang
  CULPA: 4 h-index: 33 Info
• Instructor: Timothy A Roughgarden
  Info
• Instructor: Hod Lipson
  Wikipedia h-index: 79 Info
• Instructor: Lydia Chilton
  CULPA: 3 h-index: 18 Info
• Instructor: Nakul Verma
  CULPA: 10 h-index: 16 Info
• Instructor: Brian A Smith
  CULPA: 2 h-index: 5 Info
• Instructor: Elias Bareinboim
  h-index: 25 Info
• Instructor: Ronghui Gu
  h-index: 11 Info
• Instructor: Carl Vondrick
  CULPA: 1 h-index: 24 Info
• Instructor: Ethan Katz-Bassett
  h-index: 31 Info
• Instructor: Baishakhi Ray
  CULPA: 3 h-index: 24 Info
• Instructor: David A Knowles
  h-index: 35 Info
• Instructor: Asaf Cidon
  h-index: 20 Info
• Instructor: Mark Santolucito
  CULPA: 1 h-index: 8 Info
• Instructor: Zhou Yu
  h-index: 22 Info
• Instructor: Orson Xu
  Info
• Instructor: Kaveri A Thakoor
  Info
• Instructor: Brian K Plancher
  Info
• Instructor: Corey Toler-Franklin
  Info
• Instructor: Shalmali Joshi
  Info
• Instructor: Yunzhu Li
  Info
• Instructor: Micah Goldblum
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• Instructor: James L Bartusek
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• Instructor: John Hewitt
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• Instructor: Adam B Block
  Info
• 1-9 points

THEORY OF INTERNATIONAL TRADE

• Department: Economics
• T 9 a.m.-10:50 a.m.
• Instructor: David Weinstein
  CULPA: 13 Wikipedia h-index: 42 Info
• 3 points

TPCS-ELEC & COMPUT ENGINEERING

Selected topics in electrical and computer engineering. Content varies from year to year, and different topics rotate through the course numbers 6900 to 6909.

• Department: Electrical Engineering
• TR 2:40 p.m.-3:55 p.m.
• Instructor: Savannah Eisner
  Info
• 3 points

CLINICAL ORAL PATHOLOGY

• Department: Dental and Oral Surgery
• 0 points

What Is An Image?

How can we define the image in the digital age? Can we (still) believe our eyes? What is underneath the image? As we will see in this course, these fundamental questions are not new within the history of media. Through the ages, the image has been questioned and redefined as image, surface, visual representation, index, etc. Philosopher Vilém Flusser once remarked that the composite essence of digital technology was already embedded in photography because the photographic image is an image composed of points, which the human eye synthesizes into an image. This course revisits Flusser’s notion of the “technical image” and proposes to rethink the image beyond its visual dimensions, from the perspectival image of the Renaissance to the AI-generated image of today. Instead of following a strict chronological path, we will delve into various theoretical debates on “what is an image?” – ranging from the binary image of textile to the haptic image of video art, from the technological image of the optical toy to the operational image of surveillance and warfare. Both mainstream and experimental films will be analyzed and discussed as critical interventions in the history of image technologies.

• Department: Film
• R 2:10 p.m.-4:40 p.m.
• Instructor: Wanda Strauven
  Info
• 3 points

QUANT METHODS OF DATA ANALYSIS

Prerequisites: calculus. Recommended preparation: linear algebra, statistics, computer programming. Introduction to the fundamentals of quantitative data analysis in Earth and environmental sciences. Topics: review of relevant probability, statistics and linear algebra; linear models and generalized least squares; Fourier analysis and introduction to spectral analysis; filtering time series (convolution,deconvolution,smoothing); factor analysis and empirical orthogonal functions; covariance and correlation; methods of interpolation; statistical significance and hypothesis testing; introduction to Monte Carlo methods for data analysis. Problem sets and term project require use of MATLAB or Python.

• Department: Earth and Environmental Sciences
• MW 10:10 a.m.-11:25 a.m.
• Instructor: William H Menke
  CULPA: 14 Info
• 4 points

INTRO TO WRITING STUDIES

Anyone who pursues a career as a college faculty member will teach writing—either formally, in a writing class, or informally, as we work with students who are new to our disciplines. However, many graduate students in the humanities have received no substantive training in the burgeoning field of writing studies. In English, career opportunities in writing studies have outpaced other field areas. The MLA’s 2016-2017 jobs list reported that 851 positions were advertised in English, 10% fewer than the previous year. Of those jobs, 217 were in writing studies, 187 were in British literature, and 172 were in American literature. Given that writing studies positions are also advertised elsewhere, the gap is likely larger. This seminar will explore key debates in writing studies research and teaching methodologies, program development, and disciplinary and institutional status. Writing studies is the newest name for “rhetoric and composition,” a field which declared its existence in the mid-1960s, and draws its praxes and theories from classical rhetoric, applied linguistics, cognitive and developmental psychology, literary criticism, civic education, creative writing, and progressive pedagogy. Scholarship in writing studies since the 1960s has sought to deepen our understanding of how transactions work among writers, readers, and texts. Writing studies prompts us to track how standards for “good” or “appropriate” academic writing change over time, and how the teaching of writing responds to social, political, institutional, and disciplinary forces. The readings in this course will help us to articulate our own philosophies of writing and shape approaches to pedagogy in our own fields. Topis will include the following: how writers develop; intellectual practices that foster community among learners; the ethics and politics of textual transactions, including assessment; students’ rights to their own language; literacy acquisition across media; working in transnational and translingual spaces; genre and rhetorical theory; fostering knowledge and skills transfer; the impact of intersectionality on pedagogy and program design; and labor justice. We will read works by foundational writing studies scholars including John Dewey, Wayne Booth, bell hooks, Victor Villaneuva, Jr. A. Suresh Canagarajah, and the current president of the Modern Language Association, Anne Ruggles Gere. Participants will have the opportunity to ask how writing studies can deepen the understanding of writing in our fields, regardless

• Department: English and Comparative Literature
• T 10:10 a.m.-noon
• Instructor: Nicole Wallack
  CULPA: 7 Info
• 4 points

Topics in Control

This proposed course allows for a variety of potential advanced courses to be taught as part of the proposed concentration on control.

• Department: Electrical Engineering
• F 4:10 p.m.-6:40 p.m.
• Instructor: Ilija Hadzic
  Info
• 3 points

Conspiracy Theory in American Film and C

Conspiracy Theory in US F

This class will look at the history of conspiracy theories in American culture from the 50s and 60s (UFOs, the red scare, JFK’s assassination) to the 21st century (from 9/11 truthers to Covid conspiracies and QAnon) with particular attention to cinematic representation. What is the lure of conspiracy theories? Are there particular reasons that conspiracy theories thrive in American culture?  Do different media forms and platforms encourage the spread, and even transform the content, of conspiracies?  What is the difference between theory in the social sciences and humanities and conspiracy theory?  We will read a range of theoretical material including writings by Richard Hofstadter, Fredric Jameson, Jean Baudrillard, Eve Sedgwick, Sianne Ngai, and many others.  Films will include:
Invasion of the Body Snatchers,
The Parallax View
,
Videodrome
,
The Matrix
,
Get Out
, and others.

• Department: Film
• T 2:10 p.m.-5:45 p.m.
• Instructor: Nico Baumbach
  Info
• 3 points

THESIS I/CAPSTONE I WORKSHOP

• Department: Architecture, Planning and Preservation
• W 11 a.m.-1 p.m.
• Instructor: Tom Slater
  Info
• 3 points

THESIS II/CAPSTONE II

• Department: Architecture, Planning and Preservation
• Instructor: Weiping Wu
  Wikipedia h-index: 27 Info
• 3 points

AI FOR EXISTING BUILDINGS

• Department: Architecture, Planning and Preservation
• W 6 p.m.-8 p.m.
• Instructor: Kivanc Kose
  Info
• 1.5 points

PRACTICUM: URBAN ANALYTICS FOR SOCIAL GO

URB ANALYTICS FOR SOCIAL

• Department: Architecture, Planning and Preservation
• M 11 a.m.-1 p.m.
• Instructor: Boyeong Hong
  h-index: None Info
• 3 points

DATA INFRASTRUCTURE AND MANAGEMENT IN CO

DATA MGMT IN AI

• Department: Architecture, Planning and Preservation
• T 6 p.m.-8 p.m.
• 1.5 points

ADVANCED RESEARCH I

• Department: Architecture, Planning and Preservation
• Instructor: Weiping Wu
  Wikipedia h-index: 27 Info
• 2-3 points

ARCHITECTURE, TECHNOLOGY AND THE ENVIRON

ARCH, TECH, ENVIRONMENT

• Department: Architecture, Planning and Preservation
• M 11 a.m.-1 p.m.
• Instructor: Albena Yaneva
  Info
• 3 points

GLOBAL BEST PRACTICES IN PUBLIC TRANSPOR

BEST PRAC IN PUBLIC TRANS

• Department: Architecture, Planning and Preservation
• T 6 p.m.-8 p.m.
• 3 points

RADIOLOGY II

• Department: Dental and Oral Surgery
• 0 points

TRAD BUILDING TECHNOLOGY

• Department: Architecture, Planning and Preservation
• R 9 a.m.-11:30 a.m.
• Instructor: Tim Michiels
  Info
• 3 points

VISUALIZATION TECHNIQUES FOR ARCH PRESER

• Department: Architecture, Planning and Preservation
• W 6 p.m.-8 p.m.
• 1.5 points

RENDERING SYSTEMS

• Department: Architecture, Planning and Preservation
• T 7 p.m.-9 p.m.
• Instructor: Seth C Thompson
  Info
• 3 points

GIS FOR DESIGN PRACTICES

• Department: Architecture, Planning and Preservation
• F 11 a.m.-1 p.m.
• Instructor: Mario A Jr. Giampieri
  Info
• 3 points

COMMUNITY DEVELOPMENT FINANCE PRACTICUM

CMTY DEVLP FINANCE PRACTI

• Department: Architecture, Planning and Preservation
• M 5 p.m.-7 p.m.
• Instructor: Kevin McQueen
  Info
• 3 points

HOUSING THE UNHOUSED: A PRACTICUM

• Department: Architecture, Planning and Preservation
• W 5 p.m.-7 p.m.
• Instructor: Jessica Katz
  Info
• 1.5 points

SPATIAL AI

• Department: Architecture, Planning and Preservation
• R 11 a.m.-1 p.m.
• Instructor: William Martin
  Info
• 3 points

ADV V STUDIO CLINIC

• Department: Architecture, Planning and Preservation
• R 1:30 p.m.-6:30 p.m.
• 3 points

LE CORBUSIER BEYOND EUROPE

• Department: Architecture, Planning and Preservation
• W 4 p.m.-6 p.m.
• Instructor: Mary C McLeod
  Info
• 3 points

CITIES OF KNOWLEDGE: ORIENTALIZING MANHA

• Department: Architecture, Planning and Preservation
• T 2:10 p.m.-4 p.m.
• 3 points

Advanced Topics in Natural Language Proc

AI AGENTS CAPABL RELIABL

Selected topics in Natural Language Processing (advanced level). Content and prerequisites vary between sections and semesters. May be repeated for credit. Check the "topics courses" webpage on the department website for more information on each section.

• Department: Computer Science
• M 4:10 p.m.-6 p.m.
• Instructor: Zhou Yu
  h-index: 22 Info
• 3 points

Advanced Topics in Natural Language Proc

NATURAL LANG GEN SUMMARIZ

Selected topics in Natural Language Processing (advanced level). Content and prerequisites vary between sections and semesters. May be repeated for credit. Check the "topics courses" webpage on the department website for more information on each section.

• Department: Computer Science
• W 4:10 p.m.-6 p.m.
• Instructor: Kathleen McKeown
  CULPA: 8 h-index: 71 Info
• 3 points

GLOBAL HOUSING SEMINAR

• Department: Architecture, Planning and Preservation
• R 11 a.m.-1 p.m.
• Instructor: Galia Solomonoff
  Wikipedia Info
• 3 points

ARCHITECTURE AFTER REPRESENTATION

ARCH AFTER REPRESENTATION

• Department: Architecture, Planning and Preservation
• T 11 a.m.-1 p.m.
• Instructor: Amelyn Ng
  Info
• 3 points

DIGITAL FABRICATION AT SCALE

• Department: Architecture, Planning and Preservation
• M 9 a.m.-11 a.m.
• Instructor: Joseph A Brennan
  Info
• 3 points

EXPOSED: ADVANCED STRUCTURAL DESIGN

EXPOSED: ADV STRUCTURAL D

• Department: Architecture, Planning and Preservation
• W 11 a.m.-1 p.m.
• Instructor: Hermona Tamrat
  Info
• 3 points

M.A. THESIS RESEARCH

Provides students the opportunity to present work in progress or final drafts to other students and relevant faculty to receive guidance and feedback.

• Department: East Asian Languages and Cultures
• 2 points

DIRECTED INDIVIDUAL READINGS

MRST Directed Readings, Independent study. Students should meet with the Program Director and Program Manager before registering for this course.

• Department: Medieval and Renaissance Studies
• Instructor: Susan Boynton
  CULPA: 18 Info
• 4 points

BIOGENIC SECTIONS

• Department: Architecture, Planning and Preservation
• R 11 a.m.-1 p.m.
• Instructor: Marc Tsurumaki
  Wikipedia Info
• 3 points

M.A. THESIS WRITING

• Department: East Asian Languages and Cultures
• 2 points

TOPICS IN COMPUTER SCIENCE

READINGS LANGUAGE DESIGN

Selected topics in computer science (advanced level). Content and prerequisites vary between sections and semesters. May be repeated for credit. Check “topics course” webpage on the department website for more information on each section.

• Department: Computer Science
• R 2:10 p.m.-4 p.m.
• Instructor: Bjarne Stroustrup
  CULPA: 1 Wikipedia h-index: 38 Info
• 3 points

TOPICS IN COMPUTER SCIENCE

ADV TPCS COMPETITIVE PROG

Selected topics in computer science (advanced level). Content and prerequisites vary between sections and semesters. May be repeated for credit. Check “topics course” webpage on the department website for more information on each section.

• Department: Computer Science
• W 8:10 p.m.-10 p.m.
• 3 points

TOPICS IN COMPUTER SCIENCE

HYPERSCALE INFRASTRUCTURE

Selected topics in computer science (advanced level). Content and prerequisites vary between sections and semesters. May be repeated for credit. Check “topics course” webpage on the department website for more information on each section.

• Department: Computer Science
• R 2:10 p.m.-4 p.m.
• Instructor: Jason Nieh
  CULPA: 23 Wikipedia h-index: 50 Info
• 3 points

TOPICS IN COMPUTER SCIENCE

MACHINE LEARN ASSISTANTS

Selected topics in computer science (advanced level). Content and prerequisites vary between sections and semesters. May be repeated for credit. Check “topics course” webpage on the department website for more information on each section.

• Department: Computer Science
• W 2:10 p.m.-4 p.m.
• Instructor: Richard Zemel
  Wikipedia Info
• 3 points

TOPICS IN COMPUTER SCIENCE

MOBILE HEALTH SENSING AI

Selected topics in computer science (advanced level). Content and prerequisites vary between sections and semesters. May be repeated for credit. Check “topics course” webpage on the department website for more information on each section.

• Department: Computer Science
• F 12:10 p.m.-2 p.m.
• Instructor: Xia Zhou
  Info
• 3 points

TOPICS IN COMPUTER SCIENCE

HIGH PERF MACH LEARNING

Selected topics in computer science (advanced level). Content and prerequisites vary between sections and semesters. May be repeated for credit. Check “topics course” webpage on the department website for more information on each section.

• Department: Computer Science
• M 7 p.m.-9:30 p.m.
• Instructor: Kaoutar El Maghraoui
  Info
• 3 points

TOPICS IN COMPUTER SCIENCE

LLM BASED GENERATIVE AI

Selected topics in computer science (advanced level). Content and prerequisites vary between sections and semesters. May be repeated for credit. Check “topics course” webpage on the department website for more information on each section.

• Department: Computer Science
• F 4:10 p.m.-6 p.m.
• 3 points

TOPICS IN COMPUTER SCIENCE

SCALING LLMS SYSTEMS OPT

Selected topics in computer science (advanced level). Content and prerequisites vary between sections and semesters. May be repeated for credit. Check “topics course” webpage on the department website for more information on each section.

• Department: Computer Science
• M 4:10 p.m.-6 p.m.
• 3 points

TOPICS IN COMPUTER SCIENCE

ADVANCED COMP SECURITY

Selected topics in computer science (advanced level). Content and prerequisites vary between sections and semesters. May be repeated for credit. Check “topics course” webpage on the department website for more information on each section.

• Department: Computer Science
• T 12:10 p.m.-2 p.m.
• Instructor: Suman Jana
  h-index: 33 Info
• 3 points

TOPICS IN COMPUTER SCIENCE

ALGOS LARGE LANG MODELS

Selected topics in computer science (advanced level). Content and prerequisites vary between sections and semesters. May be repeated for credit. Check “topics course” webpage on the department website for more information on each section.

• Department: Computer Science
• MW 2:40 p.m.-3:55 p.m.
• Instructor: Alexandr Andoni
  CULPA: 2 h-index: 34 Info
• 3 points

TOPICS IN COMPUTER SCIENCE

DESIGN FOR GENERATIVE AI

Selected topics in computer science (advanced level). Content and prerequisites vary between sections and semesters. May be repeated for credit. Check “topics course” webpage on the department website for more information on each section.

• Department: Computer Science
• M 4:10 p.m.-6 p.m.
• Instructor: Lydia Chilton
  CULPA: 3 h-index: 18 Info
• 3 points

TOPICS IN COMPUTER SCIENCE

COMPUTATION AND THE BRAIN

Selected topics in computer science (advanced level). Content and prerequisites vary between sections and semesters. May be repeated for credit. Check “topics course” webpage on the department website for more information on each section.

• Department: Computer Science
• T 4:10 p.m.-6 p.m.
• Instructor: Christos H Papadimitriou
  CULPA: 11 h-index: 129 Info
• 3 points

TOPICS IN COMPUTER SCIENCE

ADVANCES VIS GENER MODELS

Selected topics in computer science (advanced level). Content and prerequisites vary between sections and semesters. May be repeated for credit. Check “topics course” webpage on the department website for more information on each section.

• Department: Computer Science
• F 8:10 a.m.-10 a.m.
• Instructor: Aleksander Holynski
  Info
• 3 points

Graduate Lecture

Drama Before Shakespeare

ENGL 6998 GR is a twin listings of an undergraduate English lecture provided to graduate students for graduate credit. If a graduate student enrolls, she/he/they attends the same class as the undergraduate students (unless otherwise directed by the instructor). Each instructor determines additional work for graduate students to complete in order to receive graduate credit for the course. Please refer to the notes section in SSOL for the corresponding (twin) undergraduate 1000 or 2000 level course and follow that course's meeting day & time and assigned classroom. Instructor permission is required to join.

• Department: English and Comparative Literature
• MW 8:40 a.m.-9:55 a.m.
• Instructor: Alan Stewart
  CULPA: 14 h-index: 13 Info
• 3 points

Graduate Lecture

Out of the Ordinary

ENGL 6998 GR is a twin listings of an undergraduate English lecture provided to graduate students for graduate credit. If a graduate student enrolls, she/he/they attends the same class as the undergraduate students (unless otherwise directed by the instructor). Each instructor determines additional work for graduate students to complete in order to receive graduate credit for the course. Please refer to the notes section in SSOL for the corresponding (twin) undergraduate 1000 or 2000 level course and follow that course's meeting day & time and assigned classroom. Instructor permission is required to join.

• Department: English and Comparative Literature
• MW 2:40 p.m.-3:55 p.m.
• 3 points

MA Thesis I

First part of two-term MA Thesis sequence for MRST MA Students.

• Department: Medieval and Renaissance Studies
• Instructor: Susan Boynton
  CULPA: 18 Info
• 4 points

THESIS RESEARCH-GRADUATE

• Department: African American and African Diaspora
• Instructor: Brandi Summers
  Info
• 4 points

MA THESIS II

Second part of two-term MA Thesis sequence for MRST MA Students.

• Department: Medieval and Renaissance Studies
• Instructor: Susan Boynton
  CULPA: 18 Info
• 4 points

ACADEMIC COMMUNICATION IN ENGLISH

ACADEMIC COMM IN ENGLISH

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

• Department: Engineering
• F 1:10 p.m.-2:50 p.m.
• Instructor: Hyoseon Lee
  Info
• 0 points

PROFESSIONAL PRESENTATION

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

SELECTIVES

• Department: Dental and Oral Surgery
• 0 points