MASTERS THESIS
Research in an area of Mechanical Engineering culminating in a verbal presentation and a written thesis document approved by the thesis advisor. Must obtain permission from a thesis advisor to enroll. Recommended enrollment for two terms, one of which can be the summer. A maximum of 6 points of masters thesis may count towards an MS degree , and additional research points cannot be counted. On completion of all masters thesis credits, the thesis advisor will assign a single grade. Students must use a department recommended format for thesis writing.
- Department: Mechanical Engineering
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Instructor:
Hod Lipson
Wikipedia h-index: 79 Info -
Instructor:
Peter J. Schuck
Info -
Instructor:
Vijay Vedula
h-index: 17 Info - 1-3 points
Practicum in Clinical Teaching
PRACTICUM IN CLINICAL TEA
This course provides a practical opportunity for students to explore in greater depth the process of clinical teaching. Course work may involve development of a special teaching project for nursing students or for a particular group of patients/clients; it may involve working with clinical faculty in supervising students or groups of patients/clients.
- Department: Nursing
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Instructor:
Judy Honig
h-index: 13 Info - 1-6 points
Accounting for Value
- Department: Accounting (ACCT)
- T 5:40 p.m.-8:55 p.m.
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Instructor:
Stephen H Penman
Info - 3 points
Human and Social Sciences as History
Human/Social Sciences as
This cross-departmental, intense reading seminar examines new directions in global history of social knowledge and science from 1800 to 1950. We will study science in context with a special focus on producers, objects and circuits of knowledge, and a relationship between knowledge, power and politics. We will critically investigate theoretical and practical implications of some major works in political economy, anthropology, statistics, sociology, psychology and psychiatry, including often overlooked scholars of color and female intellectuals. In particular, the seminar looks at the ways in which scholarly reflection shaped modern practices of classification, measurement, data collection, and immaterial objects of scholarly inquiry such as the self and the unconscious. Among others, we will discuss the cultural impact of the Enlightenment, imperial conquest, colonialism, nation-state building, mass politics, war violence, and communist revolutions in the Soviet Union and China. In conjuction, we will study shifting understandings of community, wealth and social inequalities, citizenship, race, sexuality, cultural norms of behavior, and the very role of science in a society and across continents (metropolitan Europe and colonial territories, North and South America, Eurasia, and the Islamic world). The seminar welcomes students from all social sciences and humanities departments.
- Department: History
- R 4:10 p.m.-6 p.m.
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Instructor:
Malgorzata Mazurek
CULPA: 2 Info - 4 points
DIRECTED READINGS IN CHINESE
Prerequisites: CHNS W4007-4008, W4017-4018, one year of an 8000-level course, and the student's adviser and the instructor's written permission. Reading of advanced texts chosen in consultation with the student's advisor. GF
- Department: East Asian Languages and Cultures
- M 4:10 p.m.-6 p.m.
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Instructor:
Zhaohua Yang
Info - 3 points
Dissertation Research
Full time research for doctoral students.
- Department: Graduate School of Arts and Sciences
- 12 points
CRITICAL ISSUES IN STAGE MANAGEMENT
CRIT ISSUES: CONFLICT RES
.
- Department: Theatre Arts
- W 9 a.m.-11:50 a.m.
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Instructor:
Fredric Hanson
Info - 1.5 points
CRITICAL ISSUES IN STAGE MANAGEMENT
CRIT ISSUES: INTL PRODUCTION
.
- Department: Theatre Arts
- W 9 a.m.-11:50 a.m.
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Instructor:
Fredric Hanson
Info - 1.5 points
ADVANCED STATISTICAL MECHANICS
Advanced statistical mechanics.
- Department: Physics
- TR 10:10 a.m.-11:25 a.m.
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Instructor:
Timothy J Halpin-Healy
CULPA: 6 Info - 3 points
DIR RSCH 19TH-C RUSSIAN LIT II
- Department: Slavic Languages
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Instructor:
Liza Knapp
CULPA: 28
Info
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Instructor:
Boris Gasparov
CULPA: 10
Info
- 4 points
VISITING ARTISTS
- Department: Theatre Arts
- T 10 a.m.-noon
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Instructor:
Anne Bogart
Wikipedia Info - 3 points
DIR RSCH 20TH-C RUSSIAN LIT II
DIR RSCH RUSSIAN LIT-20TH CENT
Directed Research in Russian Literature of the 20th Century.
- Department: Slavic Languages
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Instructor:
Mark Leiderman
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Instructor:
Valentina Izmirlieva
CULPA: 14 Info - 2-4 points
QUANTUM FIELD THEORY III
Advanced topics at the discretion of the instructor, including string theory, supersymmetry and other aspects of beyond-standard-model physics.
- Department: Physics
- TR 5:40 p.m.-6:55 p.m.
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Instructor:
Frederik Denef
CULPA: 1 h-index: 36 Info - 3 points
THEATRE PRACTICUM II
REIMAGINING AMERICAN THEATRE
TBD
- Department: Theatre Arts
- F noon-2 p.m.
- 3 points
SEM-SOURCES IN CHINESE HISTORY
- Department: East Asian Languages and Cultures
- W 4:10 p.m.-6 p.m.
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Instructor:
Robert P Hymes
CULPA: 8 Info - 3 points
THEATRE PRACTICUM III
STRUCTURE & STORY
- Department: Theatre Arts
- R 2:10 p.m.-5 p.m.
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Instructor:
Joshua Harmon
Info - 3 points
S. CATASTROPHE-AVOIDING REGUL
- Department: Law
- T 5 p.m.-7 p.m.
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Instructor:
Charles Sabel
Wikipedia h-index: 77 Info - 3 points
PARTICLE PHYSICS I
Prerequisites: PHYS G6037-G6038. Basic aspects of particle physics, focusing on the Standard Model.
- Department: Physics
- TR 4:10 p.m.-5:25 p.m.
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Instructor:
Erick J Weinberg
CULPA: 4 Wikipedia Info - 3 points
Graduate Seminar in Japanese Cinema and
Grad Seminar Japanese Cin
In this course, we will examine a series of key writings on cinema and visual culture in Japan from the 1910s to the late 1960s. Major topics will include: 1. Cinema and its technology/technics (sound, color, and film form) 2. Cinema and its intersection with politics and aesthetics (Marxism and the Proletarian Film Movement, cinematic realism, colonialism, Third Worldism, and Japanese New Wave) 3. The articulations of cinema in broader intellectual, technological, socio-cultural, and institutional discourse (film education, documentary, and
bunka eiga
) In an attempt to explore the transitional position of cinema and media culture in Japanese cultural history, the course also critically approaches contact points between cinema, theatre (especially
shingeki
), literature, photography, and television. All mandatory readings each week will be primary sources in Japanese, and additional scholarly and/or theoretical writings in English will also be assigned or provided for reference.
- Department: East Asian Languages and Cultures
- M 9:40 a.m.-11:30 a.m.
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Instructor:
Takuya Tsunoda
Info - 4 points
S CONST HIST OF AMER EMPIRE
- Department: Law
- R 5 p.m.-7 p.m.
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Instructor:
Christina M Duffy Ponsa
Info - 2 points
Decolonizing COVID: Racial Justice, Necr
DECOLONIZING COVID
- Department: Law
- W 5 p.m.-7:30 p.m.
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Instructor:
Abdul K Ahmed
Info - 1 points
S. Asian American History and the Law
S. ASIAN AMERICAN HIST AN
- Department: Law
- W 7:10 p.m.-9:10 p.m.
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Instructor:
Nobuhisa Ishizuka
Info - 1 points
PUBLIC HEALTH PRACTICE SEMINAR
- Department: Public Health
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Instructor:
Heather Krasna
h-index: 5 Info - 0.5 points
TUTORIAL GENERAL PUBLIC HEALTH
- Department: General Public Health
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Instructor:
Marina Catallozzi
Info - 0-6 points
M.A. ESSAY DIRECTION
- Department: French and Romance Philology
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Instructor:
Madeleine Dobie
CULPA: 14
Info
- 6 points
MA Research Workshop
This course is an introduction to academic writing. Students focus on the different written components of the first stages of their doctoral program, especially the MA thesis, but also term papers, conference proposals, grant applications and the explication de texte exercise. They develop skills that contribute to successfully producing these different kinds of writing. The main goal of the course, and its primary focus, is to prepare students for the MA thesis. It provides a welcoming and collaborative environment in which to workshop outlines and drafts. Students also build on skills developed in the first-semester Proseminar by honing their research techniques, including bibliographic skills and knowledge of the expanding range of digital tools. As a complement to their exploration of academic genres, students also begin to explore opportunities for non-academic writing in the public humanities. The course is organized as a workshop with short weekly readings and, in some cases, writing assignments and exercises. We use collaborative techniques such as brainstorming and peer editing along with writing drills and other exercises.
- Department: French and Romance Philology
- W 12:10 p.m.-2 p.m.
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Instructor:
Eliza Zingesser
CULPA: 10 h-index: 3 Info - 3 points
INDIV PROJECTS IN MUSICOLOGY
INDIV PROJECT IN MUSICOLOGY
Sec. 1: Ethnomusicology; Sec. 2: Historical Musicology; Sec. 3: Music Theory; Sec. 4: Music Cognition; Sec. 5: Music Philosophy.
- Department: Music
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Instructor:
Alessandra M Ciucci
CULPA: 1 Info -
Instructor:
Julia Doe
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Instructor:
Joseph P Dubiel
CULPA: 3 Info -
Instructor:
Aaron A Fox
CULPA: 7
Info
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Instructor:
Giuseppe Gerbino
CULPA: 12
Info
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Instructor:
Ellie Hisama
CULPA: 2
Wikipedia
Info
- 3 points
INDIV PROJECTS IN MUSICOLOGY
INDIV PROJ MUSICLGY/COMPOSITN
Sec. 1: Ethnomusicology; Sec. 2: Historical Musicology; Sec. 3: Music Theory; Sec. 4: Music Cognition; Sec. 5: Music Philosophy.
- Department: Music
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Instructor:
Ana Maria Ochoa
Info - 3 points
INDIV PROJECTS IN MUSICOLOGY
INDIV PROJECT IN MUSICOLOGY
Sec. 1: Ethnomusicology; Sec. 2: Historical Musicology; Sec. 3: Music Theory; Sec. 4: Music Cognition; Sec. 5: Music Philosophy.
- Department: Music
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Instructor:
Elaine Sisman
CULPA: 13
Wikipedia
Info
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Instructor:
Benjamin A Steege
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Instructor:
Christopher J Washburne
CULPA: 31
Info
- 3 points
EIDOLON:THE IMAGE IN ANTIQUITY
- Department: Art History and Archaeology
- W 9:10 a.m.-11 a.m.
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Instructor:
Zainab Bahrani
CULPA: 11
Wikipedia
Info
- 4 points
APPLIED REGRESSION I
Prerequisite: Public Health P6103 or P6104. The study of linear statistical models. Regression and correlation with one independent variable. Partial and multiple correlation. Multiple and polynomial regression. Single factor analysis of variance. Simple logistic regression
- Department: Biostatistics
- TR 10 a.m.-11:20 a.m.
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Instructor:
Martina Pavlicova
h-index: 30 Info - 3 points
TOPICS IN BIOLOGY
Prerequisites: The instructors permission. This research seminar introduces topics at the forefront of biological research in a format and language accessible to quantitative scientists and engineers lacking biological training. Conceptual and technical frameworks from both biological and physical science disciplines are utilized. The objective is to reveal to graduate students where potential lies to apply techniques from their own disciplines to address pertinent biological questions in their research. Classes entail reading, criticism and group discussion of research papers and textbook materials providing overviews to various biological areas including: evolution, immune system, development and cell specialization, the cytoskeleton and cell motility, DNA transcription in gene circuits, protein networks, recombinant DNA technology, aging, and gene therapy.
- Department: Chemical Engineering
- R 4:10 p.m.-6:40 p.m.
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Instructor:
Ben O'Shaughnessy
CULPA: 3 Info - 3 points
ADVANCED TOPICS IN IEOR
High-dimensional Prob w/Applic
Concentration of measure (variance bounds and Poincare inequalities, sub-Gaussian concentration and log-Sobolev inequalities, Lipschitz concentration and transportation inequalities) and Suprema (covering and chaining, Gaussian processes, empirical processes). Applications: statistical learning theory, compressed sensing, random matrices, sampling, optimal transport, Gaussian approximation.
- Department: Industrial Engineering and Operations Research
- MW 11:40 a.m.-12:55 p.m.
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Instructor:
Kaizheng Wang
CULPA: 1 h-index: 8 Info - 3 points
ADVANCED TOPICS IN IEOR
PHD SEMINAR ON QUEUEING THEORY
Concentration of measure (variance bounds and Poincare inequalities, sub-Gaussian concentration and log-Sobolev inequalities, Lipschitz concentration and transportation inequalities) and Suprema (covering and chaining, Gaussian processes, empirical processes). Applications: statistical learning theory, compressed sensing, random matrices, sampling, optimal transport, Gaussian approximation.
- Department: Industrial Engineering and Operations Research
- MW 2:40 p.m.-3:55 p.m.
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Instructor:
Ward Whitt
CULPA: 9 Wikipedia h-index: 102 Info - 3 points
ADVANCED TOPICS IN IEOR
Reinforcmnt Lrning Cont Time
Concentration of measure (variance bounds and Poincare inequalities, sub-Gaussian concentration and log-Sobolev inequalities, Lipschitz concentration and transportation inequalities) and Suprema (covering and chaining, Gaussian processes, empirical processes). Applications: statistical learning theory, compressed sensing, random matrices, sampling, optimal transport, Gaussian approximation.
- Department: Industrial Engineering and Operations Research
- W 4:10 p.m.-6:40 p.m.
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Instructor:
Xunyu Zhou
h-index: 54 Info - 3 points
ADVANCED TOPICS IN IEOR
Foundations of Data Privacy
Concentration of measure (variance bounds and Poincare inequalities, sub-Gaussian concentration and log-Sobolev inequalities, Lipschitz concentration and transportation inequalities) and Suprema (covering and chaining, Gaussian processes, empirical processes). Applications: statistical learning theory, compressed sensing, random matrices, sampling, optimal transport, Gaussian approximation.
- Department: Industrial Engineering and Operations Research
- R 4:10 p.m.-6:40 p.m.
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Instructor:
Rachel Cummings
h-index: 16 Info - 3 points
VISUAL ART LAB
- Department: Visual Arts
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Instructor:
Rirkrit Tiravanija
Wikipedia Info - 3 points
FICTION THESIS WORKSHOP
- Department: Writing
- R 2 p.m.-5 p.m.
- F 10 a.m.-1 p.m.
- M 2 p.m.-5 p.m.
- T 2 p.m.-5 p.m.
- T 10 a.m.-1 p.m.
- T 2 p.m.-5 p.m.
- W 2 p.m.-5 p.m.
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Instructor:
Paul Beatty
Wikipedia Info -
Instructor:
Anelise I Chen
Info -
Instructor:
Heidi S Julavits
CULPA: 1 Wikipedia Info -
Instructor:
Binnie Kirshenbaum
Wikipedia Info -
Instructor:
Victor D Lavalle
CULPA: 2 Wikipedia Info -
Instructor:
Benjamin Marcus
Info -
Instructor:
Gary Shteyngart
Wikipedia Info - 9 points
Introduction to Health Data Science
Intro to Health Data Scie
This course will introduce students to core data science skills and concepts through the exploration of applied biostatistics. The course will begin with an introduction to the R programming language and the RStudio IDE, focusing on contemporary tidyverse functions and reproducible programming methods. Then, the course will instruct students in contemporary data manipulation and visualization tools while systematically covering core applied biostatistics topics, including confidence intervals, hypothesis testing, permutation tests, and logistic and linear regression. Finally, the semester will end with an introduction to machine learning concepts, including terminology, best practices in test/training sets, cross-validation, and a survey of contemporary classification and regression algorithms.
- Department: Biostatistics
- MW 4 p.m.-5:20 p.m.
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Instructor:
Cale N Basaraba
Info - 3 points
Business Analytics II (Full Term)
Course changes from 1.5 to 3.00
- Department: Decision, Risk and Operations
- W 10:20 a.m.-1:35 p.m.
- W 3:50 p.m.-7:05 p.m.
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Instructor:
Hongseok Namkoong
h-index: 11 Info - 1.5 points
TOPICS IN APPLIED STATISTICS
COMMUNICATING DATA & STATISTIC
.
- Department: Statistics
- T 10:10 a.m.-noon
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Instructor:
Mark Hansen
Wikipedia Info - 3 points
VISUAL ART LAB, SPRING
VISUAL ART LAB SPRING
Students meet with the professor and pave the transition from graduate students to seeing themselves as artists with a long term working creative perspective beyond academia. The professor will work to contextualize the students body of work in the arena of an international art conversation. VISUAL ART LAB will be led by Sarah Sze in the Spring.
Schedule:
Priority will be given to all second-year students who submit a short presentation of their work. Should there be remaining room for first year students they will be admitted upon review. To apply please submit a brief description of work, current research and interest in taking the seminar, along with 5 - 10 images. There will be one half hour meeting for each student with professor Sze throughout the Spring Semester.
Requirements:
Rigorous development of students' own body of work.
- Department: Visual Arts
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Instructor:
Sarah M Sze
CULPA: 1 Wikipedia Info - 3 points
POR CAREER DEVELOPMENT COLLOQUIUM
- Department: Biostatistics
- T 3 p.m.-3:50 p.m.
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Instructor:
Marisa N Spann
Info - 0.5 points
EARLY MOD EUR CULT/INTELL HIST
What were the institutions, formal and informal, in which knowledge was created, disseminated and policed during the early modern period? How were practical solutions to problems of knowledge found in solutions to problems of order and organization?
- Department: History
- R 2:10 p.m.-4 p.m.
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Instructor:
Matthew L Jones
CULPA: 19
Info
- 4 points
NEUROSCIENCE
This intensive course during the second semester of the DPT curriculum provides students with detailed coverage of neuroscience through lecture and one human cadaver prosection lab. The focus of the course is on the integral relationship between structure and function, as it relates to the neural basis for perception, movement, behavior, and cognition. A comprehensive understanding of normal structure and function provides the foundation for understanding abnormal structure and function. Both the lecture and laboratory components of the course are critical to success in the program and as a competent entry-level clinician. This course uses a primarily systems approach to study neuroscience. The first part of the course covers essential concepts, such as neurobiology, neurohistology, neurophysiology, neurodevelopment, and neuroanatomy. The second part of the course covers perception. The third part of the course covers movement. The fourth part of the course covers homeostasis, behavior, cognition, and alterations (i.e. healing and aging). Functional consequences of lesions to various parts of the nervous system will be discussed.
- Department: Physical Therapy
- 4 points
DATA SCIENCE II
- Department: Biostatistics
- TR 4 p.m.-5:20 p.m.
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Instructor:
Yifei Sun
h-index: 7 Info - 3 points
Operations Strategy
Operations Strategy
- Department: Decision, Risk and Operations
- R 8:30 a.m.-11:45 a.m.
- T 8:30 a.m.-11:45 a.m.
- W 10:20 a.m.-1:35 p.m.
- TR 3:50 p.m.-5:20 p.m.
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Instructor:
Medini Singh
Info - 3 points
Operations Strategy
Operations Strategy
- Department: Decision, Risk and Operations
- TR 3:50 p.m.-5:20 p.m.
- M 8:30 a.m.-11:45 a.m.
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Instructor:
Medini Singh
Info - 1.5 points
Case Based Application
- Department: Rehabilitation Medicine (RMED)
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Instructor:
Glen Gillen
Info -
Instructor:
Lenin Grajo
h-index: 10 Info -
Instructor:
Amanda J Sarafian
Info - 1 points
S Tech & Venture Capital
- Department: Law
- T 8:20 a.m.-10:20 a.m.
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Instructor:
Sean J Stenstrom
Info - 2 points
Capstone One Portfolio
- Department: Rehabilitation Medicine (RMED)
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Instructor:
Glen Gillen
Info -
Instructor:
Dawn Nilsen
Info -
Instructor:
Katherine Dimitropoulou
Info -
Instructor:
Amanda J Sarafian
Info - 3 points
SUPPLY CHAIN ANALYTICS
Supply chain management, Model design of a supply chain network, inventories, stock systems, commonly used inventory models, supply contracts, value of information and information sharing, risk pooling, design for postponement, managing product variety, information technology and supply chain management; international and environmental issues.
- Department: Decision, Risk and Operations
- M 8:30 a.m.-11:45 a.m.
- M 2 p.m.-5:15 p.m.
- W 8:30 a.m.-11:30 a.m.
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Instructor:
Wei Ma
Info - 3 points
STATISTICAL INFERENCE
Prerequisite: Public Health P8104. Suggested preparation: P6104, P8104 and working knowledge of calculus, population parameters, sufficient statistics. Basic distribution theory. Point and interval estimation. Method of maximum likelihood. Method of least squares regression. Introduction to the theory of hypothesis testing. Likelihood ration tests. Nonparametric procedures. Statistical design theory.
- Department: Biostatistics
- M 1 p.m.-3:50 p.m.
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Instructor:
Prakash Gorroochurn
Info - 3 points
APPLIED REGRESSION II
Prerequisite: Public Health P6104, P8100 and a working knowledge of calculus. An introduction to the application of statistical methods in survival analysis, generalized linear models, and design of experiments. Estimation and comparison of survival curves, regression models for survival data, log-linear models, logit models, analysis of repeated measurements, and the analysis of data from blocked and split-plot experiments. Examples drawn from the health sciences.
- Department: Biostatistics
- MW 10 a.m.-11:20 a.m.
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Instructor:
Sharifa Z Williams
h-index: 4 Info - 3 points
Game-Theoretic Business Strategy
BUSINESS ANALYTICS STRATE
- Department: Industrial Engineering and Operations Research
- T 8:30 a.m.-11 a.m.
- R 1:10 p.m.-3:40 p.m.
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Instructor:
Harborne Stuart
h-index: 10 Info - 3 points
TV PILOT: COMEDY & DRAMA
With the pilot as a focal point, this course explores the opportunities and challenges of telling and sustaining a serialized story over a protracted period of time with an emphasis on the creation, borne out of character, of the quintessential premise and the ongoing conflict, be it thematic or literal, behind a successful series.
Early in the semester, students may be required to present/pitch their series idea. During the subsequent weeks, students will learn the process of pitching, outlining, and writing a television pilot, that may include story breaking, beat-sheets or story outline, full outlines, and the execution of either a thirty-minute or hour-long teleplay. This seminar may include reading pages and giving notes based on the instructor but may also solely focus on the individual process of the writer.
Students may only enroll in one TV Writing workshop per semester.
- Department: Film
- M 9 a.m.-noon
- M 2 p.m.-5 p.m.
- M 6 p.m.-9 p.m.
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Instructor:
David Klass
Info -
Instructor:
Michele Palermo
Wikipedia Info -
Instructor:
Matthew R Fennell
Info - 3 points
S. Antimonopoly Reading Group
S. ANTIMONOPOLY READING G
- Department: Law
- R 6 p.m.-8 p.m.
- 1 points
MEDICAL SCREENING
This intensive course during the first semester of the DPT curriculum provides students with detailed coverage of human anatomy through lecture and cadaver dissection. The focus of the course is on structure and the integral relationship between structure and function. A comprehensive understanding of normal structure and function provides the foundation for understanding abnormal structure and function. Both the lecture and laboratory components of the course are critical to success in the program and as a competent entry-level clinician. Using a patient case-based approach this course will emphasize utilizing clinical decision making/differential diagnosis skills effectively and efficiently related to the concept of threshold detection to identify impairments or “red flags” in medical screening that warrant referral to other professionals. While they establish examination schemes, students will evaluate patient data in order to select the next-best history question to ask, or the next-best physical examination procedure to help rule out potential pathological processes. Existing medical screening guidelines will be reviewed and applied to the various cases-illustrating appropriate use of the guidelines and also potential limitations. Professional communication skills and strategies with patient/clients and physicians will be applied and practiced throughout course.
- Department: Physical Therapy
- 2 points
Applied Regression Analysis
- Department: Decision, Risk and Operations
- T 2 p.m.-5:15 p.m.
- T 8:30 a.m.-11:45 a.m.
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Instructor:
David Juran
Info - 1.5 points