INTERNATIONAL DESIGN AND DEVELOPMENT
INTL DESIGN + DEVELOPMENT
- Department: Architecture, Planning and Preservation
- W 1:30 p.m.-3:30 p.m.
- 1.5 points
ARTIST MENTORSHIP / VALS IV
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.
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Instructor:
Miya Masaoka
Wikipedia Info - 3 points
EMBEDDED SCALABLE PLATFORMS
Inter-disciplinary graduate-level seminar on design and programming of embedded scalable platforms. Content varies between offerings to cover timely relevant issues and latest advances in system-on-chip design, embedded software programming, and electronic design automation. Requires substantial reading of research papers, class participation, and semester-long project.
- Department: Computer Science
- W 6:10 p.m.-8 p.m.
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Instructor:
Luca Carloni
CULPA: 2 Wikipedia h-index: 45 Info - 3 points
China's Impact on Global Governance
China & Global Governance
This seminar explores China’s rise and its implications for global governance. The course introduces core international relations concepts and theoretical debates, then examines China’s behavior in areas such as trade, development finance, human protection, maritime disputes, nuclear policy, and technology. The final weeks focus on national strategy debates in the United States and China. Students will engage in critical reading, policy writing, and seminar discussion.
- Department: International Security & Diplomacy
- T 8 a.m.-9:50 a.m.
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Instructor:
Raymond Wang
Info - 3 points
EQUITABLE DEVELOPMENT
- Department: Architecture, Planning and Preservation
- R 1 p.m.-3 p.m.
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Instructor:
Cecily C King
Info - 3 points
Statistical signal processing and learni
STATISTICAL SIGNAL PROCES
Introduction to the fundamental principles of statistical signal processing related to detection and estimation. Hypothesis testing, signal detection, parameter estimation, signal estimation, and selected advanced topics. Suitable for students doing research in communications, control, signal processing, and related areas.
- Department: Electrical Engineering
- M 10:10 a.m.-12:40 p.m.
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Instructor:
Guido H Jajamovich
Info - 3 points
Sparse and Low-Dimensional Models for Hi
SPARSE MODELS FOR HI-D DA
Overview of theory, computation and applications for sparse and low-dimensional data modeling. Recoverability of sparse and low-rank models. Optimization methods for low-dim data modeling. Applications to imaging, neuroscience, communications, web data.
- Department: Electrical Engineering
- T 4:10 p.m.-6:40 p.m.
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Instructor:
John Wright
CULPA: 1 h-index: 44 Info - 3 points
Towards a Trans-Species Architecture
- Department: Architecture, Planning and Preservation
- T 11 a.m.-1 p.m.
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Instructor:
Mark Wigley
Wikipedia Info - 3 points
TOPICS IN SIGNAL PROCESSING
INTRO TO BLOCKCHAIN TECH
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
TOPICS IN SIGNAL PROCESSING
LARGE-SCALE STREAM PROCESSING
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. Topic: Large Data Stream Processing.
- Department: Electrical Engineering
- R 7 p.m.-9:30 p.m.
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Instructor:
Deepak S Turaga
Info - 3 points
TOPICS-INFORMATION PROCESSING
The class will give you a richer understanding of networking, focusing on principles and systems that have shaped the Internet. Via classic and contemporary literature, topics covered include routing, content delivery, congestion control, data centers, SDN, and the cloud.
- Department: Electrical Engineering
- R 4:10 p.m.-6:40 p.m.
- 3 points
Principles and Practice of Oncology II:
PRIN & PRACTICE OF ONCOLO
This course presents a systematic overview of the most common cancer diagnoses across the lifespan and associated prevention, screening, and early detection. The course presents genetic predispositions and mutations as well as familial syndromes that increase risk for a diagnosis of cancer. The course examines cancer diagnoses that appear in all age groups as well as cancers mostly specific to set age groups. It incorporates the pathophysiology of pediatric, adolescent, young adult, and adult cancers, current evidence-based treatment modalities and regimens for each cancer, and data from ongoing clinical trials about cutting-edge therapies being developed. The course provides a framework for the oncology nurse practitioner (NP) for synthesis, integration, and application of this knowledge for diagnosing, assessing, and managing patients with a cancer diagnosis in clinical practice.
- Department: Nursing
- M 6:30 p.m.-8:20 p.m.
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Instructor:
Shanelly Singh
Info - 2 points
1:1 CRAFTING AND FABRICATION OF DETAILS
- Department: Architecture, Planning and Preservation
- T 7 p.m.-9 p.m.
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Instructor:
Zachary E Mulitauaopele
Info - 3 points
TOPICS-INFORMATION PROCESSING
Reinforcement Learning
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
- R 10:10 a.m.-12:40 p.m.
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Instructor:
Javad Ghaderi
h-index: 17 Info - 3 points
TOPICS-INFORMATION PROCESSING
TPC: Adv Big Data & AI
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: Advanced Big Data Analytics.
- Department: Electrical Engineering
- T 7 p.m.-9:30 p.m.
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Instructor:
Ching-Yung Lin
h-index: None Info - 3 points
RESEARCH
- Department: Architecture, Planning and Preservation
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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
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Instructor:
Timothy A Roughgarden
Info - 1-3 points
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
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Instructor:
Alexandr Andoni
CULPA: 2 h-index: 34 Info -
Instructor:
Daniel Bauer
CULPA: 17
h-index: 13
Info
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Instructor:
Peter Belhumeur
CULPA: 6 h-index: 59 Info -
Instructor:
Noemie Elhadad
Wikipedia h-index: 46 Info -
Instructor:
Paul S Blaer
CULPA: 46
h-index: 8
Info
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Instructor:
David Blei
Wikipedia h-index: 98 Info -
Instructor:
Luca Carloni
CULPA: 2 Wikipedia h-index: 45 Info -
Instructor:
Eleni Drinea
CULPA: 8 Info -
Instructor:
Stephen A Edwards
CULPA: 21
h-index: 35
Info
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Instructor:
Roxana Geambasu
CULPA: 2 Wikipedia h-index: 20 Info -
Instructor:
Luis Gravano
CULPA: 16
h-index: 56
Info
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Instructor:
Julia Hirschberg
CULPA: 8
h-index: 77
Info
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Instructor:
Daniel Hsu
CULPA: 6
h-index: 44
Info
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Instructor:
Suman Jana
h-index: 33 Info -
Instructor:
Gail E Kaiser
CULPA: 10 Info -
Instructor:
Vishal Misra
CULPA: 5 Wikipedia h-index: 53 Info -
Instructor:
Jason Nieh
CULPA: 23
Wikipedia
h-index: 50
Info
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Instructor:
Mohammed Alquraishi
Info -
Instructor:
Itsik Pe'er
Wikipedia Info -
Instructor:
Kenneth A Ross
Info -
Instructor:
Henning G Schulzrinne
CULPA: 12 Info -
Instructor:
Rocco Servedio
CULPA: 15
h-index: 48
Info
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Instructor:
Simha Sethumadhavan
CULPA: 8 Info -
Instructor:
Andrew J Blumberg
h-index: 33 Info -
Instructor:
Clifford Stein
CULPA: 31 Wikipedia h-index: 53 Info -
Instructor:
Smaranda Muresan
h-index: 22 Info -
Instructor:
Hod Lipson
Wikipedia h-index: 79 Info -
Instructor:
Matei T Ciocarlie
Info -
Instructor:
Lydia Chilton
CULPA: 3 h-index: 18 Info -
Instructor:
Nakul Verma
CULPA: 10
h-index: 16
Info
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Instructor:
Elias Bareinboim
h-index: 25 Info -
Instructor:
Ronghui Gu
h-index: 11 Info -
Instructor:
Carl Vondrick
CULPA: 1 h-index: 24 Info -
Instructor:
Baishakhi Ray
CULPA: 3 h-index: 24 Info -
Instructor:
David A Knowles
h-index: 35 Info -
Instructor:
Tony B Dear
CULPA: 17
Info
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Instructor:
Asaf Cidon
h-index: 20 Info -
Instructor:
Kriste Krstovski
h-index: 9 Info -
Instructor:
Alp Kucukelbir
h-index: 11 Info -
Instructor:
Mark Santolucito
CULPA: 1 h-index: 8 Info -
Instructor:
Zhou Yu
h-index: 22 Info -
Instructor:
Henry Yuen
CULPA: 1 Info -
Instructor:
Xia Zhou
Info -
Instructor:
Kaveri A Thakoor
Info -
Instructor:
Brian K Plancher
Info -
Instructor:
Gamze Gursoy
Info - 1-12 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
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Instructor:
Noemie Elhadad
Wikipedia h-index: 46 Info -
Instructor:
Roxana Geambasu
CULPA: 2 Wikipedia h-index: 20 Info -
Instructor:
Julia Hirschberg
CULPA: 8
h-index: 77
Info
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Instructor:
Suman Jana
h-index: 33 Info -
Instructor:
Mohammed Alquraishi
Info -
Instructor:
Daniel S Rubenstein
CULPA: 29 Info -
Instructor:
Salvatore J Stolfo
CULPA: 10 Wikipedia Info -
Instructor:
Eugene Wu
CULPA: 1 h-index: 32 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
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Instructor:
Elias Bareinboim
h-index: 25 Info -
Instructor:
Ronghui Gu
h-index: 11 Info -
Instructor:
Carl Vondrick
CULPA: 1 h-index: 24 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:
Kaveri A Thakoor
Info -
Instructor:
Brian K Plancher
Info - 1-9 points
QUODLIBETAL STUDIES II
- Department: Philosophy
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Instructor:
Allison Aitken
Info -
Instructor:
David Albert
CULPA: 32 Wikipedia h-index: 40 Info -
Instructor:
Akeel Bilgrami
CULPA: 28 Wikipedia Info -
Instructor:
Justin Clarke-Doane
h-index: 10 Info -
Instructor:
Jessica Collins
Info -
Instructor:
Melissa S Fusco
CULPA: 1 Info -
Instructor:
Haim Gaifman
CULPA: 13 Wikipedia h-index: 30 Info -
Instructor:
Lydia Goehr
CULPA: 26
Wikipedia
Info
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Instructor:
Axel Honneth
CULPA: 2 Wikipedia Info -
Instructor:
Timothy Williamson
Info -
Instructor:
Tamar A Lando
CULPA: 8 Info -
Instructor:
Wolfgang R Mann
CULPA: 36 Info -
Instructor:
Christia Mercer
CULPA: 56
Wikipedia
Info
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Instructor:
Michele Moody-Adams
CULPA: 20
Wikipedia
Info
- 3-6 points