RSCH IN SOCIAL/CULTURAL ANTHRO

RSRCH SOCIAL & CULTURAL ANTHRO

Prerequisites: the instructors permission. Individual research and tutorial in social and cultural anthropology for advanced graduate students.

• Department: Anthropology
• Instructor: Mahmood Mamdani
  CULPA: 21 Wikipedia h-index: 57 Info
• Instructor: Rosalind Morris
  CULPA: 20 Wikipedia Info
• Instructor: John Pemberton
  CULPA: 15 Wikipedia Info
• Instructor: Paloma Rodrigo Gonzales
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• Instructor: David Scott
  CULPA: 6 h-index: 72 Info
• Instructor: Audra Simpson
  CULPA: 5 Wikipedia Info
• Instructor: Paige West
  CULPA: 41 h-index: 23 Info
• Instructor: Kaya N Williams
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• Instructor: J.C. Salyer
  CULPA: 1 Info
• 3-9 points

RESEARCH

Before registering, the student must submit an outline of the proposed work for approval by the supervisor and the chair of the Department. Advanced study in a specialized field under the supervision of a member of the department staff. May be repeated for credit.

• Department: Industrial Engineering and Operations Research
• Instructor: Anish Agarwal
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• Instructor: Shipra Agrawal
  h-index: 24 Info
• Instructor: Eric Balkanski
  h-index: 13 Info
• Instructor: Daniel Bienstock
  h-index: 38 Info
• Instructor: Agostino Capponi
  h-index: 19 Info
• Instructor: Rachel Cummings
  h-index: 16 Info
• Instructor: Antonius B Dieker
  CULPA: 10 h-index: 19 Info
• Instructor: Adam N Elmachtoub
  CULPA: 1 h-index: 13 Info
• Instructor: Yuri Faenza
  h-index: 11 Info
• Instructor: Vineet Goyal
  h-index: 21 Info
• Instructor: Ali Hirsa
  h-index: 8 Info
• Instructor: Anran Hu
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• Instructor: Garud Iyengar
  CULPA: 6 h-index: 30 Info
• 1-6 points

RESEARCH

Before registering, the student must submit an outline of the proposed work for approval by the supervisor and the chair of the Department. Advanced study in a specialized field under the supervision of a member of the department staff. May be repeated for credit.

• Department: Industrial Engineering and Operations Research
• Instructor: Garud Iyengar
  CULPA: 6 h-index: 30 Info
• Instructor: Hardeep Johar
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• Instructor: Cedric Josz
  CULPA: 2 h-index: 13 Info
• Instructor: Soulaymane Kachani
  CULPA: 12 Info
• Instructor: Yaren Kaya
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• Instructor: Christian Kroer
  h-index: 16 Info
• Instructor: Daniel Lacker
  CULPA: 4 h-index: 13 Info
• Instructor: Henry Lam
  h-index: 17 Info
• Instructor: Fabrizio Lecci
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• Instructor: Tianyi Lin
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• Instructor: Uday Menon
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• Instructor: Bento Natura
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• Instructor: Jay Sethuraman
  CULPA: 10 Info
• Instructor: Eric Stratman
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• Instructor: Clifford Stein
  CULPA: 31 Wikipedia h-index: 53 Info
• Instructor: Wenpin Tang
  h-index: 6 Info
• Instructor: Harry West
  CULPA: 1 h-index: 1 Info
• Instructor: Kaizheng Wang
  CULPA: 1 h-index: 8 Info
• Instructor: Lily Xu
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• Instructor: David D Yao
  CULPA: 5 Info
• Instructor: Yi Zhang
  CULPA: 2 Info
• Instructor: Xunyu Zhou
  h-index: 54 Info
• Instructor: Winsor Yang
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• 1-6 points

CLIN PRACTICE IMPLANT DENTISTRY II

CLIN PRACT IMPL DNTRTY II

• Department: Dental and Oral Surgery
• 0 points

RSRCH-LATE MDVL & RENSSNCE LIT

RSRCH-LATE MDVL & RENSSNC LIT

• Department: Italian
• Instructor: Teodolinda Barolini
  CULPA: 7 Wikipedia Info
• Instructor: Pier Mattia Tommasino
  CULPA: 7 Info
• 3 points

SIGMUND FREUD-THINKNG/THEORZNG

• Department: Psychoanalytic Center
• Instructor: Gila Ashtor
  Info
• 0 points

RESEARCH IN ARCHAEOLOGY

Prerequisites: the instructors permission. Individual research and tutorial in archaeology for advanced graduate students.

• Department: Anthropology
• Instructor: Brian Boyd
  CULPA: 6 Info
• Instructor: Hannah Chazin
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• Instructor: Amanda Althoff
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• Instructor: Zoe Crossland
  CULPA: 9 h-index: 17 Info
• Instructor: Terence N D'Altroy
  CULPA: 37 Info
• Instructor: Severin Fowles
  CULPA: 24 Info
• Instructor: Camilla Sturm
  CULPA: 2 Info
• 3-9 points

RESEARCH-MODERN & CONTEMP LIT

Guided reading and research on a topic or in a field chosen by the student in consultation with a member of the faculty.

• Department: Italian
• Instructor: Elizabeth Leake
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• Instructor: Konstantia Zanou
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• 3 points

CHILD & ADOLESCENT DEVELOPMENT

• Department: Psychoanalytic Center
• Instructor: Timothy R Rice
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• 0 points

Probability for Biostatisticians

Probability: Biostatistic

The biostatistical field is changing with new directions emerging constantly. Doing research in these new directions, which often involve large data and complex designs, requires advanced probability and statistics tools. The purpose of this new course is to collect these important probability methods and present them in a way that is friendly to a biostatistics audience. This course is designed for PhD students in Biostatistics. Its primary objective is to help the students achieve a solid understanding of these probability methods and develop strong analytical skills that are necessary for conducting methodological research in modern biostatistics. At the completion of this course, the students will a) have a working knowledge in Law of Large Numbers, Central Limit Theorems, martingale theory, Brownian motions, weak convergence,  empirical process, and Markov chain theory; b) be able to understand the biostatistical literature that involves such methods; c) be able to do proofs that call for such knowledge.

• Department: Biostatistics
• F 1 p.m.-3:50 p.m.
• Instructor: Bin Cheng
  h-index: 32 Info
• 3 points

RESEARCH IN SPECIAL FIELDS

Prerequisites: the instructors permission. Individual research in all divisions of anthropology and in allied fields for advanced graduate students

• Department: Anthropology
• Instructor: Brian Boyd
  CULPA: 6 Info
• Instructor: Hannah Chazin
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• Instructor: Antara Chakrabarti
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• Instructor: Nadia Abu El-Haj
  CULPA: 13 Wikipedia Info
• Instructor: Lila Abu-Lughod
  CULPA: 17 Wikipedia h-index: 48 Info
• Instructor: Vanessa L Agard-Jones
  CULPA: 3 Info
• Instructor: Amanda Althoff
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• Instructor: Nicholas A Bartlett
  CULPA: 5 Info
• Instructor: Jacob A Bessen
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• Instructor: Hannah Chazin
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• Instructor: Myron L Cohen
  CULPA: 6 Info
• Instructor: Zoe Crossland
  CULPA: 9 h-index: 17 Info
• Instructor: Terence N D'Altroy
  CULPA: 37 Info
• Instructor: Catherine Fennell
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• Instructor: Severin Fowles
  CULPA: 24 Info
• Instructor: Nicholas Glastonbury
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• Instructor: Elizabeth M Green
  CULPA: 2 Info
• Instructor: Marilyn Ivy
  CULPA: 11 Wikipedia Info
• Instructor: Gina A Jae
  CULPA: 1 Info
• Instructor: Mahmood Mamdani
  CULPA: 21 Wikipedia h-index: 57 Info
• Instructor: Ellen Marakowitz
  CULPA: 1 Info
• Instructor: Rosalind Morris
  CULPA: 20 Wikipedia Info
• Instructor: John Pemberton
  CULPA: 15 Wikipedia Info
• Instructor: Paloma Rodrigo Gonzales
  Info
• Instructor: David Scott
  CULPA: 6 h-index: 72 Info
• Instructor: J.C. Salyer
  CULPA: 1 Info
• Instructor: Audra Simpson
  CULPA: 5 Wikipedia Info
• Instructor: Kaya N Williams
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• 3-9 points

RESEARCH IN SPECIAL FIELDS

Prerequisites: the instructors permission. Individual research in all divisions of anthropology and in allied fields for advanced graduate students

• Department: Anthropology
• 3-9 points

Theory of Statistical Inference I

THEORY OF STAT INFERENCE

This course offers a general introduction to essential materials in advanced statistical theory for doctoral students in biostatistics. The course is designed to prepare doctoral students in biostatistics for their written theory qualifying exam. Students in this course will learn theory of estimation, confidence sets and hypothesis testing. Specific topics include a quick review of measure-theoretic probability theory, concepts of sufficiency and completeness, unbiased estimation (UMVUE), least squares principle, likelihood estimation, a variety of estimators and their asymptotic properties, confidence sets, the Neyman-Pearson lemma and uniformly most powerful tests. If time permits, the likelihood ratio test, score test and Wald test, and sequential analysis will be covered.

• Department: Biostatistics
• TR 1 p.m.-2:20 p.m.
• Instructor: Caleb Miles
  h-index: 5 Info
• 3 points

WORKSHOP IN SCRIPT REVISION

• Department: Film
• M 6 p.m.-9 p.m.
• T 10 a.m.-1 p.m.
• R 10 a.m.-1 p.m.
• Instructor: Keith Bunin
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• Instructor: Wesley Jones
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• Instructor: Christina Lazaridi
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• 0 points

(PhD) Foundations of Optimizat

• Department: Decision, Risk and Operations
• R 2:20 p.m.-5:35 p.m.
• Instructor: Santiago R Balseiro
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• 3 points

Topics in Statistical Learning and Data

TPCS-STAT LEARN/DATA MINI

The aim of this course is to provide students a systematic training in key topics in modern supervised statistical learning and data mining. For the most part, the focus will remain on a theoretically sound understanding of the methods (learning algorithms) and their applications in complex data analysis, rather than proving technical theorems. Applications of the statistical learning and data mining tools in biomedical and health sciences will be highlighted.

• Department: Biostatistics
• R 1 p.m.-3:50 p.m.
• Instructor: Min Qian
  h-index: 19 Info
• 3 points

TV REVISION

FILM AF 9120 TV Revision

 

The goal of TV Revision is to bring in a completed pilot and then completely revise it in one semester. Students will initially present their full scripts for feedback in class discussion, then map a plan for rewriting with their instructor. Deadlines throughout the semester will focus on delivery of revised pages.

The work can range from an intensive page 1 rewrite to focus on selected areas in a script. Reading of all scripts in the workshop and participation in class discussion is required.

There is an application process to select students for the class.

• Department: Film
• M 2 p.m.-5 p.m.
• W 2 p.m.-5 p.m.
• Instructor: Benjamin Robbins
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• Instructor: Matthew R Fennell
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• 0 points

EVALUATN OF PATIENTS-ANALYSIS

• Department: Psychoanalytic Center
• Instructor: Barry L Stern
  Info
• 0 points

Advanced Biostatistical Method I

Adv. Biostatistical Metho

This is an advanced course for first-year Ph.D. students in Biostatistics. The aim is to provide a solid foundation of the theory behind linear models and generalized linear models. More emphasis will be placed on concepts and theory with mathematical rigor. Topics covered including linear regression models, logistic regression models, generalized linear regression models and methods for the analysis contingency tables.

• Department: Biostatistics
• T 8:30 a.m.-11:20 a.m.
• Instructor: Zhezhen Jin
  h-index: 51 Info
• 3 points

Fundamentals of Case Narrative Writing f

Fund Case Narrat Writing

This course is designed to increase student knowledge of Psychiatric Nurse Practitioner Case Narrative writing, and DNP competencies. Students will use case narratives as a framework to synthesize knowledge, assessment, and clinical thinking skills. Students will explore Social Justice competency, Competency D3C3 in depth. Students will develop a treatment intervention that identify and challenge biases that contribute to health disparities.

• Department: Nursing
• W 8 a.m.-10:50 a.m.
• 3 points