ENVIRONMENTS OF GOVERNANCE
- Department: Architecture, Planning and Preservation
- W 3 p.m.-5 p.m.
-
Instructor:
Felicity Scott
Info - 3 points
ARTIST MENTORSHIP / VISITING ARTIST LECT
ARTIST MENTORSHIP / VALS
This required Visual Arts core MFA curriculum course, comprising two parts, allows MFA students to deeply engage with and learn directly from a wide variety of working artists who visit the program each year.
Lecture Series
The lecture component, taught by an adjunct faculty member with a background in art history and/or curatorial studies, consists of lectures and individual studio visits by visiting artists and critics over the course of the academic year. The series is programmed by a panel of graduate Visual Arts students under the professor's close guidance. Invitations are extended to artists whose practice reflects the interests, mediums, and working methods of MFA students and the program. Weekly readings assigned by the professor provide context for upcoming visitors. Other course assignments include researching and preparing introductions and discussion questions for each of the visitors. Undergraduate students enrolled in Visual Arts courses are encouraged to attend and graduate students in Columbia's Department of Art History are also invited. Following each class-period the conversation continues informally at a reception for the visitor. Studio visits with Visual Arts MFA students take place on or around the week of the artist or critic's lecture and are coordinated and assigned by lottery by the professor.
Artist Mentorship
The Artist-Mentor component allows a close and focused relationship to form between a core group of ten to fifteen students and their mentor. Students are assigned two mentors who they meet with each semester in two separate one-week workshops. The content of each workshop varies according to the Mentors’ areas of expertise and the needs of the students. Mentor weeks can include individual critiques, group critiques, studio visits, visits to galleries, other artist's studios, museums, special site visits, readings, and writing workshops. Here are a few descriptions from recent mentors:
• During Mentor Week we will individually and collectively examine our assumptions and notions about art. What shapes our needs and expectations as artists and the impact of what we do?
• Our week will include visits to exhibition spaces to observe how the public engages the art. Throughout, we will consider art's ability to have real life consequences and the public's desire to personally engage with and experience art without mediation.
• The week will be conducted in two parts, f
- Department: Visual Arts
- T 6 p.m.-9 p.m.
- 3 points
FORMAL VERIF HW SW SYSTEMS
Introduction to the theory and practice of formal methods for the design and analysis of correct (i.e. bug-free) concurrent and embedded hardware/software systems. Topics include temporal logics; model checking; deadlock and liveness issues; fairness; satisfiability (SAT) checkers; binary decision diagrams (BDDs); abstraction techniques; introduction to commercial formal verification tools. Industrial state-of-art, case studies and experiences: software analysis (C/C++/Java), hardware verification (RTL).
- Department: Computer Science
- M 6:10 p.m.-8 p.m.
- 3 points
FINANCIAL MODELING CASE STUDIES
- Department: Architecture, Planning and Preservation
- R 4:30 p.m.-6:30 p.m.
-
Instructor:
Chok S Lei
Info - 1.5 points
UNSETTLING SOUTH ASIA MODERN
- Department: Architecture, Planning and Preservation
- W 11 a.m.-1 p.m.
-
Instructor:
Ateya A Khorakiwala
Info - 3 points
FEASTING + FASTING
- Department: Architecture, Planning and Preservation
- R 11 a.m.-1 p.m.
-
Instructor:
Ateya A Khorakiwala
Info - 3 points
REIMAGING NYC's INDUSTRIAL WATERFRONT
REIMAG NYC's INDSTRL WATE
- Department: Architecture, Planning and Preservation
- R 2 p.m.-4 p.m.
- 1.5 points
TOPICS IN SIGNAL PROCESSING
TPC:REINFORCEMENT LEARNING
Advanced topics in signal processing, such as multidimensional signal processing, image feature extraction, image/video editing and indexing, advanced digital filter design, multirate signal processing, adaptive signal processing, and wave-form coding of signals. Content varies from year to year, and different topics rotate through the course numbers 6880 to 6889.
- Department: Electrical Engineering
- F 8:10 a.m.-10 a.m.
- 3 points
CLIMATE CRISIS & HOUSING CRISIS
CLIMATE CRISIS, HOUSING C
- Department: Architecture, Planning and Preservation
- T 6 p.m.-8 p.m.
-
Instructor:
Deborah Morris
Info - 3 points
TOPICS-INFORMATION PROCESSING
TPC:BIG DATA ANALYTICS
Advanced topics spanning electrical engineering and computer science such as speech processing and recognition, image and multimedia content analysis, and other areas drawing on signal processing, information theory, machine learning, pattern recognition, and related topics. Content varies from year to year, and different topics rotate through the course numbers 6890 to 6899. Topic: Big Data Analytics.
- Department: Electrical Engineering
- F 7 p.m.-9:30 p.m.
-
Instructor:
Ching-Yung Lin
h-index: None Info - 3 points
TOPICS-INFORMATION PROCESSING
DATA CENTER PROCESSING
Advanced topics spanning electrical engineering and computer science such as speech processing and recognition, image and multimedia content analysis, and other areas drawing on signal processing, information theory, machine learning, pattern recognition, and related topics. Content varies from year to year, and different topics rotate through the course numbers 6890 to 6899.
- Department: Electrical Engineering
- MW 8:40 a.m.-9:55 a.m.
-
Instructor:
Tanvir Ahmed Khan
Info - 3 points
TOPICS-INFORMATION PROCESSING
Learning and Storage
Advanced topics spanning electrical engineering and computer science such as speech processing and recognition, image and multimedia content analysis, and other areas drawing on signal processing, information theory, machine learning, pattern recognition, and related topics. Content varies from year to year, and different topics rotate through the course numbers 6890 to 6899. Topic: Quantum Computing and Communication.
- Department: Electrical Engineering
- M 4:10 p.m.-6:40 p.m.
-
Instructor:
Alexei Ashikhmin
Info - 3 points
RESEARCH
- Department: Architecture, Planning and Preservation
-
Instructor:
Danielle S Smoller
Info - 2-3 points
TUTORIAL IN COMPUTER SCIENCE
A reading course in an advanced topic for a small number of students, under faculty supervision.
- Department: Computer Science
-
Instructor:
Timothy A Roughgarden
Info - 1-3 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
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
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
Academic Writing and Great Presentations
ACADEMIC WRITING AND PRES
Principles of writing clear and rigorous science texts and giving great presentations. The Writing component focuses on the construction of logical arguments, reporting and interpretation of data, composing process, and strategies for redrafting and editing. Genres include Introductions, Data Commentaries, Results/Discussion, Conclusions, Abstracts, Requests for funding, Research statements, Professional emails, Blogs. The Presentation component looks at development of the presentation story, use of visuals, fluent delivery, asking and responding to questions. Speaking contexts include research talks, lab talks, conference presentations, poster talks, job talks, interviews, industry pitches. Pass/No Pass only, based on completion of assignments and participation in class exercises.
Credit may not be used to satisfy degree requirements.
- Department: Electrical Engineering
- F 10 a.m.-noon
-
Instructor:
Janet Kayfetz
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.-4 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
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
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
PLANETARY MEDIA
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
The Face on Film
Illuminated, exposed, projected, magnified—the cinematic face is at once spectacular and mysterious, commanding and vulnerable, an inexhaustible object of wonder. The seminar will explore the workings of the human face as privileged object of representation, as figure of subjectivity, as mode and ethic of address through film theory and practice. How has the technological, mass-circulating art of the moving image mediated this singular entity—this visual incarnation of the
person
? How did it confront its mythic and iconic resonance, its charge of identity and identification, its revelatory and masking play of expression, its social, racial, and affective registers? Among filmmakers and writers who inform our discussion: Roland Barthes, Mary Ann Doane, Carl-Theodor Dreyer, Jean Epstein, Buster Keaton, Alfred Hitchcock, Emmanuel Levinas, Claude Lévi-Strauss, James Baldwin, Andy Warhol, Gilles Deleuze, and others.
- Department: Film
- T 5:10 p.m.-9 p.m.
-
Instructor:
Noa Steimatsky
Info - 3 points
Graduate Lecture
Marxism & Cultural Theory
CLEN 6998 GR is a twin listings of an undergraduate Comparative Literature 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 10:10 a.m.-11:25 a.m.
-
Instructor:
Bruce Robbins
CULPA: 35
Wikipedia
h-index: 39
Info
- 3 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+AI Infrastruct
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
CONTINUAL LEARN MEM MDLS
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.
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
Graduate Lecture
Virginia Woolf
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
- TR 10:10 a.m.-11:25 a.m.
-
Instructor:
Edward Mendelson
CULPA: 64
Wikipedia
Info
- 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
M.A. Thesis I
M.A. Thesis Course for MARS-REERS program.
- Department: Russian Eurasian E. European
- F 10:10 a.m.-noon
-
Instructor:
Elise Giuliano
CULPA: 6
Info
- 0-3 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
M.A. Thesis II
M.A. Thesis Course for MARS-REERS program.
- Department: Russian Eurasian E. European
-
Instructor:
Elise Giuliano
CULPA: 6
Info
- 0-3 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
Union Theological Cross-Reg
Bonhoeffer & Baldwin
- Department: Union Theological Seminary (UTSD)
- 1-4 points
PROFESSIONAL PRESENTATION
- Department: Engineering
- F 3 p.m.-4 p.m.
-
Instructor:
Hyoseon Lee
Info - 0 points
FNDN EXCELLENCE DENTAL PRACTICE III
- Department: Dental and Oral Surgery
-
Instructor:
Dana L Wolf
h-index: 7 Info - 0 points
INDEPENDENT STUDY
- Department: Engineering
- R 4:50 p.m.-6:30 p.m.
-
Instructor:
Hyoseon Lee
Info - 0 points
INFECTION CONTROL
- Department: Dental and Oral Surgery
-
Instructor:
Sidney Eisig
h-index: 24 Info - 0 points
SPECIAL NEEDS ROTATION PEDIATRICS
- Department: Dental and Oral Surgery
-
Instructor:
Aaron G Myers
Info - 0 points