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.
• Instructor: Raymond Wang
  Info
• 3 points

EQUITABLE DEVELOPMENT

• Department: Architecture, Planning and Preservation
• R 1 p.m.-3 p.m.
• 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.
• 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.
• 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.
• 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.
• 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.
• 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.
• 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.
• 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.
• Instructor: Ching-Yung Lin
  h-index: None 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

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: Alexandr Andoni
  CULPA: 2 h-index: 34 Info
• Instructor: Daniel Bauer
  CULPA: 17 h-index: 13 Info
• 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
• 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
• Instructor: Roxana Geambasu
  CULPA: 2 Wikipedia h-index: 20 Info
• Instructor: Luis Gravano
  CULPA: 16 h-index: 56 Info
• Instructor: Julia Hirschberg
  CULPA: 8 h-index: 77 Info
• Instructor: Daniel Hsu
  CULPA: 6 h-index: 44 Info
• 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
• 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
• 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
• 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
• 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
• 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
• 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
• 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
• 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
• 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
• Instructor: Michele Moody-Adams
  CULPA: 20 Wikipedia Info
• Instructor: Christopher Peacocke
  CULPA: 4 Wikipedia Info
• Instructor: Carol Rovane
  CULPA: 13 Info
• Instructor: Achille Varzi
  CULPA: 30 Wikipedia h-index: 40 Info
• Instructor: Katja Vogt
  CULPA: 36 Info
• 3-6 points

QUODLIBETAL STUDIES IV

• Department: Philosophy
• Instructor: Allison Aitken
  Info
• 3-6 points