TOPICS IN SIGNAL PROCESSING

TPC: SPARSE REP & HI-DIM GEO

Prerequisites: (ELEN E4810)
Topic: Sparse Representations / High-Dimensional Geometry.

• Department: Electrical Engineering
• M 1:10 p.m.-3:40 p.m.
• Instructor: John Wright
  CULPA: 1 h-index: 44 Info
• 3 points

MONITORING AND EVALUATION

This course will go beyond technical or methodological materials (i.e. how to collect and analyze data) and instead focus on how M&E practically applies to day-to-day responsibilities of practitioners, regardless of their position title, and how anyone can (and should) become an effective producer and consumer of data and thus an impactful contributor in the field of international development and humanitarian assistance. For students interested in a career in M&E, this course will help them recognize and address some of the common challenges they will face at work (e.g. how to convince and collaborate with the chief of party to invest in and run effective M&E). For students who are interested in non-M&E career tracks, this course will help them do their jobs better and help the development and humanitarian fields overcome “pilot-itis” and become more evidence-driven. Students should also understand that they are likely to take on different roles throughout their careers, which may involve M&E - this course will prepare them to become versatile and impactful players in this challenging but meaningful line of work.

• Department: International and Public Affairs
• F 9 a.m.-1 p.m.
• Instructor: Kevin C Hong
  Info
• 3 points

TOPICS-INFORMATION PROCESSING

TPC: ADV BIG DATA ANALYTICS

Topic: Advanced Big Data Analytics.

• Department: Electrical Engineering
• R 7 p.m.-9:30 p.m.
• Instructor: Ching-Yung Lin
  h-index: None Info
• 3 points

GRAD SEM IN CONSERVATION BIOL

Prerequisites: biology, ecology, genetics, and evolution.
Introduction to the applied science of maintaining the earth's biological diversity, its landscapes, and wilderness. Focus on the biological principles relevant to the conservation of biodiversity at the genetic, population, and community and landscape levels.

• Department: Ecology, Evolution, and Environmental Biology
• R 12:10 p.m.-2 p.m.
• Instructor: Joshua A Drew
  Info
• 3 points

GRADUATE STUDENT SEMINAR

All first-year graduate students in the physics department must register for this course each term. Discussion of the experimental and theoretical research in the department.

• Department: Physics
• F 11 a.m.-1 p.m.
• Instructor: Georgia S Karagiorgi
  CULPA: 3 Info
• 0 points

ADV TIME SERIES ANALYSIS

Prerequisites: eescGR6908 Calculus and Quantitative Methods of Data Analysis ( EESCG6908)
In depth study of time series analysis methods and time series uncertainty analysis. Will cover: introduction to time series definitions, statistics and nomenclature, all forms of Spectral Analysis (classic Blackman-Tukey, Multi-taper, and other varieties now popular), Singular Spectrum Analysis (SSA), Linear Parametric Forecast modeling (AR, MA, ARMA, etc.), Evolutionary time series analysis, wavelets analysis, filtering (including Kalman filters), complex trace analysis, and other specialty topics of interest to students.

• Department: Earth and Environmental Sciences
• MW 10:10 a.m.-11:30 a.m.
• Instructor: Douglas G Martinson
  Info
• 3 points

PRINCIPLES OF LITERARY STUDY

• Department: Humanities (College)
• M 12:10 p.m.-2 p.m.
• Instructor: Julie Crawford
  CULPA: 24 Info
• 3 points

TEACHING WRITING:THEORY & PRAC

Prerequisites: the instructor's permission.
(Seminar). This course aims to contribute to your professional development while preparing you to teach University Writing, Columbia’s required first-year writing course. By the end of this course, you should have a basic grasp of the goals and structure of University Writing, the principles that inform its design, and the kinds of materials used in the course. While the course has an immediate goal—to prepare you for your fall teaching assignment—it aims simultaneously to enrich your teaching in the broadest sense. Your fall University Writing syllabus, as well as your lesson plans and homework assignments for the first eight classes, are due for review on August 1, 2016. This course will give you opportunity to prepare these materials throughout this semester with the support of the UWP directors, senior instructors, and advising lecturers. This course is the first of your ongoing professional development obligations as a UW instructor. You must successfully complete G6913 to teach in the UWP. Every subsequent semester, you will be required to attend a staff orientation, attend at least one workshop, and meet with your mentor and advising UWP director. , All instructors new to the UWP must take this 1-credit, ungraded course during the fall of their first year of teaching. The course is intended to guide instructors through their first semester and emphasizes the practical application of the knowledge and expertise developed in G6913. Successful completion of the course is required for continuation as a UWP instructor.

• Department: English and Comparative Literature
• Instructor: Aaron Ritzenberg
  CULPA: 4 h-index: 4 Info
• 4 points

GRADUATE STUDIO IV

Graduate Studio IV

• Department: Visual Arts
• T 10 a.m.-4 p.m.
• Instructor: Miya Masaoka
  Wikipedia Info
• 3 points

TECH WRITING FOR CS AND ENGINRS

ACADEMIC WRITING

Prerequisites: Available to M.S. and Ph.D candidates in CS/CE.
Topics to help CS/CE graduate students’ communication skills. Emphasis on writing, presenting clear, concise proposals, journal articles, conference papers, theses, and technical presentations. May be repeated for credit. Credit may not be used to satisfy degree requirements.

• Department: Computer Science
• MW 1:10 p.m.-3:40 p.m.
• Instructor: Janet Kayfetz
  Info
• 1 points

DOCUMENTARY ACTIVISM:THEORY

This is a course in how to think about documentary but not about “how to” make documentary work.  Its premise is that documentary as an approach is still undergoing revision as a definitional problem.  Relevant to our times, cameras and sound recorders are called upon to “witness” events.  Basic readings on the history and theory of documentary are the heart of the course and practical exercises test theoretical questions. Students conduct low end exercises with their own smart phone cameras. Topics and issues center on the history of the radical documentary
—from the Workers Film and Photo League of the 1930s to the 2011 Arab Spring uprisings, comparing then new 16 and 35mm film camera capabilities with contemporary internet distribution.  Other topics include climate change and documentary work; motion picture film and photography in labor struggles; uses of anti-war and nuclear bomb footage; sexualities and video camera activism.

• Department: Film
• F 10:10 a.m.-noon
• Instructor: Jane Gaines
  CULPA: 4 Info
• 3 points

DIRECTED INDIVIDUAL READINGS

• Department: Medieval and Renaissance Studies
• Instructor: Adam Kosto
  CULPA: 20 Info
• 3 points

DIRECTED INDIVIDUAL READINGS

• Department: Medieval and Renaissance Studies
• Instructor: Adam Kosto
  CULPA: 20 Info
• 4 points

TOPICS IN COMPUTER SCIENCE

SOCIAL NETWORKS

Prerequisites: Instructor's permission.
Selected topics in computer science. Content varies from year to year. May be repeated for credit.

• Department: Computer Science
• T 4:10 p.m.-6 p.m.
• Instructor: Augustin Chaintreau
  CULPA: 6 h-index: 33 Info
• 3 points

TOPICS IN COMPUTER SCIENCE

ADV MACH LEARN PERSONALIZATION

Prerequisites: Instructor's permission.
Selected topics in computer science. Content varies from year to year. May be repeated for credit.

• Department: Computer Science
• M 10:10 a.m.-12:40 p.m.
• Instructor: Tony Jebara
  CULPA: 12 h-index: 52 Info
• 3 points

TOPICS IN COMPUTER SCIENCE

ADVANCED DISTRIBUTED SYSTEMS

Prerequisites: Instructor's permission.
Selected topics in computer science. Content varies from year to year. May be repeated for credit.

• Department: Computer Science
• M 12:10 p.m.-2 p.m.
• Instructor: Roxana Geambasu
  CULPA: 2 Wikipedia h-index: 20 Info
• 3 points

TOPICS IN COMPUTER SCIENCE

FPGAS THEN AND NOW

Prerequisites: Instructor's permission.
Selected topics in computer science. Content varies from year to year. May be repeated for credit.

• Department: Computer Science
• F 10:10 a.m.-12:40 p.m.
• Instructor: Martha A Kim
  CULPA: 40 Info
• 3 points

TOPICS IN COMPUTER SCIENCE

DATABASE TOPICS RSRCH PRACTICE

Prerequisites: Instructor's permission.
Selected topics in computer science. Content varies from year to year. May be repeated for credit.

• Department: Computer Science
• W 4:10 p.m.-6 p.m.
• Instructor: Eugene Wu
  CULPA: 1 h-index: 32 Info
• 3 points

TOPICS IN COMPUTER SCIENCE

INTRO AGILE PROJ MGMT SCRUM

Prerequisites: Instructor's permission.
Selected topics in computer science. Content varies from year to year. May be repeated for credit.

• Department: Computer Science
• R 8:10 p.m.-10 p.m.
• Instructor: Tristan Boutros
  CULPA: 6 Info
• 3 points

TOPICS IN COMPUTER SCIENCE

INTRO BRAIN COMPUTER INTERACT

Prerequisites: Instructor's permission.
Selected topics in computer science. Content varies from year to year. May be repeated for credit.

• Department: Computer Science
• R 6:10 p.m.-8 p.m.
• Instructor: Xiaofu He
  h-index: 21 Info
• 3 points

TOPICS IN COMPUTER SCIENCE

QUANTUM COMPUTING THRY PRACT

Prerequisites: Instructor's permission.
Selected topics in computer science. Content varies from year to year. May be repeated for credit.

• Department: Computer Science
• F 12:10 p.m.-2 p.m.
• 3 points

TOPICS IN COMPUTER SCIENCE

SECURITY ROBUSTNESS ML SYSTEMS

Prerequisites: Instructor's permission.
Selected topics in computer science. Content varies from year to year. May be repeated for credit.

• Department: Computer Science
• M 10:10 a.m.-noon
• Instructor: Junfeng Yang
  CULPA: 4 h-index: 33 Info
• 3 points

TOPICS IN COMPUTER SCIENCE

CLOUD COMPUTING&BIG; DATA

Prerequisites: Instructor's permission.
Selected topics in computer science. Content varies from year to year. May be repeated for credit.

• Department: Computer Science
• M 6:10 p.m.-8 p.m.
• Instructor: Sambit Sahu
  CULPA: 5 Info
• 3 points

TOPICS IN COMPUTER SCIENCE

VIRTUAL MACHINES

Prerequisites: Instructor's permission.
Selected topics in computer science. Content varies from year to year. May be repeated for credit.

• Department: Computer Science
• T 10:10 a.m.-noon
• Instructor: Jason Nieh
  CULPA: 23 Wikipedia h-index: 50 Info
• 3 points

TOPICS IN COMPUTER SCIENCE

NLP IN CONTEXT COMPUTATIONAL M

Prerequisites: Instructor's permission.
Selected topics in computer science. Content varies from year to year. May be repeated for credit.

• Department: Computer Science
• MW 4:10 p.m.-5:25 p.m.
• Instructor: Smaranda Muresan
  h-index: 22 Info
• 3 points

GRADUATE LECTURE

ROMANS AND THEIR EMPIRE

• Department: History
• MW 4:10 p.m.-5:25 p.m.
• Instructor: David M Ratzan
  h-index: None Info
• 4 points

GRADUATE LECTURE

WAR IN GERMANY 1618-2018

• Department: History
• MW 2:40 p.m.-3:55 p.m.
• Instructor: Adam Tooze
  CULPA: 3 Wikipedia Info
• 4 points

GRADUATE LECTURE

US FOREIGN RELATIONS 1890-1990

• Department: History
• MW 6:10 p.m.-7:25 p.m.
• Instructor: Anders G Stephanson
  CULPA: 37 Info
• 4 points

GRADUATE LECTURE

HISTORY OF AMERICAN POP CULTUR

• Department: History
• MW 10:10 a.m.-11:25 a.m.
• Instructor: Hilary-Anne Hallett
  CULPA: 2 Info
• 4 points

GRADUATE LECTURE

US-MIDDLE EAST RELATIONS

• Department: History
• TR 1:10 p.m.-2:25 p.m.
• Instructor: Paul T Chamberlin
  CULPA: 3 Info
• 4 points

GRADUATE LECTURE

VIETNAM IN THE WORLD

• Department: History
• TR 11:40 a.m.-12:55 p.m.
• Instructor: Lien-Hang Nguyen
  CULPA: 1 Info
• 4 points

GRADUATE LECTURE

WORLD HISTORY SINCE WW2

• Department: History
• TR 10:10 a.m.-11:25 a.m.
• Instructor: Matthew J Connelly
  CULPA: 15 Wikipedia Info
• 4 points

GRADUATE LECTURE

LATIN AMERICAN CIVILIZATION II

• Department: History
• MW 4:10 p.m.-5:25 p.m.
• Instructor: Pablo Piccato
  CULPA: 22 h-index: 20 Info
• 4 points

GRADUATE LECTURE

HISTORY OF MODERN KOREA

• Department: History
• TR 2:40 p.m.-3:55 p.m.
• Instructor: Charles K Armstrong
  CULPA: 10 Wikipedia Info
• 4 points

GRADUATE SEMINAR

THE DEVELOPMENT OF THE GREEK C

• Department: History
• R 10:10 a.m.-noon
• Instructor: Richard A Billows
  CULPA: 40 Wikipedia Info
• 4 points

GRADUATE SEMINAR

RELIGIOUS CONVERSION IN EARLY

• Department: History
• T 12:10 p.m.-2 p.m.
• Instructor: Elisheva Carlebach
  CULPA: 6 Wikipedia Info
• 4 points

GRADUATE SEMINAR

ASIATIC RUSSIA: STATE AND SOCI

• Department: History
• W 12:10 p.m.-2 p.m.
• Instructor: Gulnar T Kendirbai
  CULPA: 1 Info
• 4 points

GRADUATE SEMINAR

HISTORY OF THE SELF: MONTAIGNE

• Department: History
• T 12:10 p.m.-2 p.m.
• Instructor: Mark Lilla
  CULPA: 57 Wikipedia Info
• 4 points

GRADUATE SEMINAR

INTELLECTUAL LIFE IN 19TH C. E

• Department: History
• R 10:10 a.m.-noon
• Instructor: Emily Jones
  Wikipedia Info
• 4 points

GRADUATE SEMINAR

AMERICAN FUTURES IN THE PROGRE

• Department: History
• M 12:10 p.m.-2 p.m.
• Instructor: Jarod Roll
  CULPA: 1 Info
• 4 points

GRADUATE SEMINAR

TELLING ABOUT THE SOUTH

• Department: History
• R 4:10 p.m.-6 p.m.
• Instructor: Barbara J Fields
  CULPA: 22 Wikipedia Info
• 4 points

GRADUATE SEMINAR

CORPORATE BEHAVIOR AND PUBLIC

• Department: History
• W 8:10 a.m.-10 a.m.
• Instructor: David Rosner
  CULPA: 4 Wikipedia Info
• 4 points

GRADUATE SEMINAR

COLUMBIA UNIVERSITY AND SLAVER

• Department: History
• R 12:10 p.m.-2 p.m.
• Instructor: Karl Jacoby
  CULPA: 2 h-index: 8 Info
• 4 points

GRADUATE SEMINAR

JEWS IN THE CITY

• Department: History
• R 2:10 p.m.-4 p.m.
• Instructor: Rebecca Kobrin
  CULPA: 7 Info
• 4 points

GRADUATE SEMINAR

HISTORIES OF POVERTY IN AFRICA

• Department: History
• R 10:10 a.m.-noon
• Instructor: Rhiannon Stephens
  CULPA: 2 Info
• 4 points

GRADUATE SEMINAR

SLAVERY AND ABOLITION IN THE A

• Department: History
• M 2:10 p.m.-4 p.m.
• Instructor: Natasha J Lightfoot
  CULPA: 5 Info
• 4 points

GRADUATE SEMINAR

TOPICS IN OTTOMAN HISTORY, 130

• Department: History
• R 4:10 p.m.-6 p.m.
• Instructor: Tunc Sen
  Info
• 4 points

GRADUATE SEMINAR

WARS OF INDOCHINA

• Department: History
• M 12:10 p.m.-2 p.m.
• Instructor: Lien-Hang Nguyen
  CULPA: 1 Info
• 4 points

MA THESIS

MA THESIS I

• Department: Medieval and Renaissance Studies
• Instructor: Adam Kosto
  CULPA: 20 Info
• 4 points

BOARD PREP REGISTRATION

• Department: Anesthesiology
• 0 points

PEDIATRICS CLERKSHIP

• Department: Pediatrics
• 0 points

EGO PSYCHOLGY & OBJECT RELATNS

• Department: Social Work
• T 9 a.m.-10:50 a.m.
• Instructor: Arthur A Lynch
  Info
• 3 points

READINGS IN BIOMED INFORMATICS

Prerequisite
: approval of adviser. Readings on topics in medical informatics under the direction of a faculty adviser.

• Department: Biomedical Informatics
• Instructor: Suzanne Bakken
  Wikipedia h-index: 70 Info
• 1-12 points

GRAD STUDENT & FACULTY COLLOQ

FEMINIST PEDAGOGY

This is a course is oriented to graduate students who are thinking about issues in teaching in the near and distant future and want to explore issues related to pedagogy. The course will ask what it means to teach “as a feminist” and will explore how to create a classroom receptive to feminist and queer methodologies and theories regardless of course theme/content. Topics include: the role of political engagement, the gender dynamics of the classroom, and modes of critical thought and disagreement. Discussions can be oriented around student interest. The course will meet several times a month (dates TBD) and the final assignment is to develop a syllabus for a new gender/sexuality course in your field.  Because this course is required for graduate students choosing to fulfill Option 2 for the Graduate Certificate in Feminist Studies at IRWGS, priority will be given to graduate students completing the certificate.

• Department: Women's and Gender Studies
• T 6:10 p.m.-8 p.m.
• Instructor: Marianne Hirsch
  CULPA: 4 Wikipedia Info
• 1 points

DISSERTATION COLLOQUIUM

The dissertation colloquium is a non-credit course open to MESAAS doctoral students who have completed the M.Phil. degree. It provides a forum in which the entire community of dissertation writers meets, bridging the department's different fields and regions of research. It complements workshops outside the department focused on one area or theme. Through an encounter with the diversity of research underway in MESAAS, participants learn to engage with work anchored in different regions and disciplines and discover or develop what is common in the department's post-disciplinary methods of inquiry. Since the community is relatively small, it is expected that all post-M.Phil. students in residence will join the colloquium. Post M.Phil. students from other departments may request permission to join the colloquium, but places for non-MESAAS students will be limited. The colloquium convenes every semester, meeting once every two weeks. Each meeting is devoted to the discussion of one or two pre-circulated pieces of work (a draft prospectus or dissertation chapter). Every participant contributes at least one piece of work each year.

• Department: Middle Eastern, South Asian and African Studies
• M 12:10 p.m.-2 p.m.
• Instructor: Mamadou Diouf
  CULPA: 2 Wikipedia Info
• 0 points

M.PHIL TEACHING EXPERIENCE

M.PHIL. TEACHING EXPERIENCE

Prerequisite:
instructor’s permission. Participation in medical informatics educational activities under the direction of a faculty adviser.

• Department: Biomedical Informatics
• Instructor: Noemie Elhadad
  Wikipedia h-index: 46 Info
• Instructor: Richard A Friedman
  Info
• Instructor: Chunhua Weng
  h-index: 37 Info
• Instructor: Raul Rabadan
  Wikipedia h-index: 72 Info
• 2 points

EARLY MODERN SOUTH ASIA

This graduate seminar focuses on subject, objects and agents that catalyzed the material and political orders from 1500-1800 in South Asia. We pair primary, historical texts (in translation) with recent monographs which demonstrate the intersections between text, narrative and polity. Our guiding interests will be in understanding the intimate relationship between power and agency and objects within specific political spaces. Eschewing the center/periphery models, we will focus on specific sites of literary and political imagination- Bengal, Deccan, Punjab—and the turn to the global connections with America and Europe during this period. This seminar will assume broad familiarity with both Indian and European early modern politics and thought.

• Department: History
• W 4:10 p.m.-6 p.m.
• Instructor: Manan Ahmed
  CULPA: 6 Wikipedia h-index: 6 Info
• 4 points

ASTROPHYSICS II

Prerequisites:
PHYS G6011
or similar introductory astrophysics courses, and familiarity with basic general relativity.
The selection of topics is likely to include accretion onto black holes and neutron stars, pulsars, supernovae, gamma-ray bursts, cosmic rays, radiative processes and magneto-hydrodynamics in astrophysics.

• Department: Physics
• MW 3 p.m.-4:30 p.m.
• Instructor: Lam Hui
  CULPA: 3 Info
• 3 points

ADVANCED STATISTICAL MECHANICS

Advanced statistical mechanics.

• Department: Physics
• MW 1:10 p.m.-2:25 p.m.
• Instructor: Igor Aleiner
  h-index: 57 Info
• 3 points

GENERAL RELATIVITY

• Department: Physics
• TR 2:40 p.m.-3:55 p.m.
• Instructor: Andrei Beloborodov
  Info
• 3 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 1:10 p.m.-2:25 p.m.
• Instructor: Alberto Nicolis
  Info
• 3 points

SEM-SOURCES IN CHINESE HISTORY

SEMINAR IN THE SOURCES FOR CHI

• Department: East Asian Languages and Cultures
• W 4:10 p.m.-6 p.m.
• Instructor: Robert P Hymes
  CULPA: 8 Info
• 3 points

MED SOCIETIES & INSTITUTNS I

This is a research seminar intended for graduate students in medieval European history; it is open to others with the instructor's permission.  The seminar has three goals:  1) to introduce students to research tools and methods for medieval European history; 2) to introduce students to the study of medieval written records (diplomatics); and 3) to guide students in identifying and developing appropriate research topics.  The course will focus on medieval Latin documents, although students interested in exploring vernacular documents may do so.  Students will be expected to have a good knowledge of medieval history and facility in reading Latin and either French or German.

• Department: History
• M 10:10 a.m.-noon
• Instructor: Adam Kosto
  CULPA: 20 Info
• 4 points

PARTICLE PHYSICS I

Prerequisites:
PHYS G6037-G6038
.
Basic aspects of particle physics, focusing on the Standard Model.

• Department: Physics
• MW 10:10 a.m.-11:25 a.m.
• Instructor: Alfred H Mueller
  CULPA: 2 Wikipedia 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
• Instructor: Susan Boynton
  CULPA: 18 Info
• 3 points

INDIV PROJECTS IN MUSICOLOGY

Sec. 1: Ethnomusicology; Sec. 2: Historical Musicology; Sec. 3: Music Theory; Sec. 4: Music Cognition; Sec. 5: Music Philosophy.

• Department: Music
• Instructor: Alessandra M Ciucci
  CULPA: 1 Info
• Instructor: Sophia C Di Castri
  Info
• Instructor: Julia Doe
  Info
• Instructor: Joseph P Dubiel
  CULPA: 3 Info
• Instructor: Kevin Fellezs
  CULPA: 4 Info
• Instructor: Aaron A Fox
  CULPA: 7 Info
• Instructor: Bradford G Garton
  CULPA: 14 Info
• Instructor: Giuseppe Gerbino
  CULPA: 12 Info
• Instructor: Georg Friedrich Haas
  Info
• Instructor: Ana Maria Ochoa
  Info
• Instructor: Elaine Sisman
  CULPA: 13 Wikipedia Info
• Instructor: Benjamin A Steege
  Info
• 3 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
• R 1 p.m.-3:50 p.m.
• Instructor: Haomiao Jia
  h-index: 36 Info
• 3 points

ADVANCED TOPICS IN IEOR

READING GROUP ON BEHAVIORAL FI

Prerequisites: Faculty adviser's permission.
Selected topics of current research interest. May be taken more than once for credit.

• Department: Industrial Engineering and Operations Research
• R 4:10 p.m.-6:40 p.m.
• Instructor: Xunyu Zhou
  h-index: 54 Info
• 3 points

ADVANCED TOPICS IN IEOR

STOCHASTIC GAMES AND MEAN FIEL

Prerequisites: Faculty adviser's permission.
Selected topics of current research interest. May be taken more than once for credit.

• Department: Industrial Engineering and Operations Research
• MW 10:10 a.m.-11:25 a.m.
• Instructor: Daniel Lacker
  CULPA: 4 h-index: 13 Info
• 3 points

ADVANCED TOPICS IN IEOR

STOCHASTIC INVENTORY THEORY

Prerequisites: Faculty adviser's permission.
Selected topics of current research interest. May be taken more than once for credit.

• Department: Industrial Engineering and Operations Research
• W 1:10 p.m.-3:40 p.m.
• Instructor: Martin Reiman
  Wikipedia Info
• 3 points

TOPICS IN APPLIED STATISTICS

Applied Causality

We will learn about and get practice in several aspects of statistical communication, including teaching, writing, collaboration, programming, data display, and visualization of statistical models.  After taking this class, you should be able to effectively communicate quantitative information and ideas.

• Department: Statistics
• M 10:10 a.m.-12:40 p.m.
• Instructor: Ming Yuan
  h-index: 45 Info
• 3 points

SEM-HISTORCL MUSICLGY-MID AGES

SEM-HISTRCL MUSICLGY-MIDDLE AG

• Department: Music
• R 10:10 a.m.-noon
• Instructor: Susan Boynton
  CULPA: 18 Info
• 3 points

POR CAREER DEVELOPMENT COLLOQUIUM

• Department: Biostatistics
• T 3 p.m.-3:50 p.m.
• Instructor: Daichi Shimbo
  h-index: 59 Info
• 0.5 points

DATA SCIENCE II

• Department: Sociomedical Sciences
• MW 5:30 p.m.-6:50 p.m.
• 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 8:30 a.m.-11:20 a.m.
• 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
• R 8:30 a.m.-11:20 a.m.
• Instructor: Qixuan Chen
  h-index: 27 Info
• 3 points

DESIGN OF MEDICAL EXPERIMENTS

Prerequisite: Public Health P8111
or the equivalent. Principles in the design and analysis of controlled experiments: Latin squares, incomplete block designs, crossover designs, fractional factorial designs, confounding.

• Department: Biostatistics
• T 5:30 p.m.-8:20 p.m.
• 3 points

ANALYSIS OF CATEGORICAL DATA

This is a Public Health Course.  Public Health classes are offered on the Health Services Campus at 168th Street. For more detailed course information, please go to Mailman School of Public Health Courses website at http://www.mailman.hs.columbia.edu/academics/courses

• Department: Biostatistics
• MW 5:30 p.m.-6:50 p.m.
• Instructor: Christine M Mauro
  Info
• 3 points

CHEMISTRY OF NANOCRYSTALS

This course will provide a discussion of the thermodynamics and kinetics of colloidal crystallization and stabilization, the physical properties of quantum confined semiconductor and metal nanocrystals, methods of nanocrystal characterization, and examples of nanocrystals in technological applications.  Prospective students should be familiar with basic principles of quantum mechanics, thermodynamics of phase transitions, and inorganic chemistry – particularly molecular orbital theory.  Undergraduate students interested in this course should obtain approval from the instructor prior to registering.

• Department: Chemistry
• TR 11:40 a.m.-12:55 p.m.
• Instructor: Jonathan S Owen
  CULPA: 7 h-index: 40 Info
• 2.5 points

BIOSTATISTICAL METHODS II

SEQUENTIAL EXPERIMENTATION

• Department: Biostatistics
• TR 1 p.m.-3:50 p.m.
• Instructor: Gen Li
  Info
• 3 points

INTRO TO RAND CLINICAL TRIALS

Prerequisite: Public Health P6104
or the equivalent. Fundamental methods and concepts of the randomized clinical trial; protocol development, randomization, blindedness, patient recruitment, informed consent, compliance, sample size determination, cross-overs, collaborative trials. Each student prepares and submits the protocol for a real or hypothetical clinical trial.

• Department: Biostatistics
• M 1 p.m.-3:50 p.m.
• Instructor: John L Thompson
  h-index: 61 Info
• 3 points

SEM-HIST MUS:THEOR IMPROVISATN

SEM-HIST MUS: THEORIZING IMPRO

• Department: Music
• T 10:10 a.m.-noon
• Instructor: George Lewis
  CULPA: 10 Wikipedia h-index: 18 Info
• 3 points

PHARMACEUTICAL STATISTICS

• Department: Biostatistics
• T 2:30 p.m.-5:20 p.m.
• Instructor: Naitee Ting
  Info
• 3 points

LATENT-VAR-STRUC EQUATION MODL

LATENT VAR-STRUC EQUATION MODL

• Department: Biostatistics
• W 8:30 a.m.-11:20 a.m.
• Instructor: Melanie Wall
  Wikipedia h-index: 101 Info
• 3 points

TPCS IN ADVNCD STAT COMPUTING

• Department: Biostatistics
• W 1 p.m.-3:50 p.m.
• Instructor: Ying Wei
  Wikipedia Info
• 3 points

RES DATA COORDINATN:PRINC/PRAC

Prerequisites:  Public Health P6104. 
Introduction to the principles of research data management and other aspects of data coordination using structured, computer-based exercises.  Targeted to students with varying backgrounds and interests:  (1) established and prospective investigators, scientists, and project leaders who want to gain a better understanding of the principles of data management to improve the organization of their own research, make informed decisions in assembling a data management team, and improve their ability to communicate with programmers and data analysts; and (2) students considering a career in data management, data analysis, or the administration of a data coordinating center.

• Department: Biostatistics
• T 5:30 p.m.-8:20 p.m.
• Instructor: Debra D'Angelo
  Info
• 3 points