QUODLIBETAL STUDIES III
Prerequisites: high-quality work in the previous term. Arrangements must be made with the director of graduate studies. Tutorial work in specialized research topics.
- 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:
Tamar A Lando
CULPA: 8 Info -
Instructor:
Wolfgang R Mann
CULPA: 36 Info -
Instructor:
Christia Mercer
CULPA: 56
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
-
Instructor:
Timothy Williamson
Info - 3-6 points
Implant Treatment Planning & Surgical Co
IMPL TREATMNT PLAN & SURG
- Department: Dental and Oral Surgery
- 0 points
Implant Treatment Planning & Surgical Co
IMPL TREATMNT PLAN & SURG
- Department: Dental and Oral Surgery
- 0 points
Implant Treatment Planning & Surgical Co
IMPL TREATMNT PLAN & SURG
- Department: Dental and Oral Surgery
- 0 points
INTERDISC CASE MGMT/TREATMENT PLANNING
- Department: Dental and Oral Surgery
-
Instructor:
Dennis P Tarnow
Wikipedia Info - 0 points
CLASSIC/CURRENT IMPLANT LITERATURE
- Department: Dental and Oral Surgery
-
Instructor:
Dennis P Tarnow
Wikipedia Info - 0 points
PROFESSIONAL PRACTICE
TBD
- Department: Theatre Arts
- W 2:10 p.m.-5 p.m.
-
Instructor:
James Calleri
Info - 0 points
Labor and Public Economics Workshop
Labor & Public Econ Works
Columbia faculty and guest speakers present research related to Labor and Public Economics.
- Department: Economics
- W 4:10 p.m.-6 p.m.
- 0 points
INTERNSHIP
HRSMA students may receive one academic credit for the completion of a relevant internship. The credit would count towards the elective requirement for the degree. In order to receive one credit, students will be required to complete a total of 100 internship hours. The internship must be professional in nature and substantively focused on human rights or social justice. For more information, students should refer to the HRSMA Digital Handbook.
- Department: Institute for Study of Human Rights
-
Instructor:
Shourideh Molavi
Info - 1 points
Case Studies in Public Health Practice a
Case Stud in PH Pract & L
- Department: Public Health
- R 4 p.m.-7 p.m.
-
Instructor:
Helen de Pinho
Info - 1.5 points
Case Studies in Public Health Practice a
Case Stud PH Pract & Lead
- Department: Public Health
- R 4 p.m.-7 p.m.
-
Instructor:
Helen de Pinho
Info - 1.5 points
MASTERS RESEARCH
Candidates for the M.S. degree may conduct an investigation of some problem in biomedical engineering. No more than 6 points in this course may be counted for graduate credit.
- Department: Biomedical Engineering
-
Instructor:
Gerard A Ateshian
Info -
Instructor:
Elizabeth Olson
h-index: 28 Info -
Instructor:
X. Edward Guo
CULPA: 2 h-index: 70 Info -
Instructor:
Henry Hess
CULPA: 1 h-index: 45 Info -
Instructor:
Clark T Hung
CULPA: 5 h-index: 65 Info -
Instructor:
Lance Kam
CULPA: 7
h-index: 38
Info
-
Instructor:
Elisa Konofagou
Wikipedia h-index: 71 Info -
Instructor:
Andrew Laine
Wikipedia h-index: 43 Info -
Instructor:
Kam W Leong
h-index: 126 Info -
Instructor:
Helen Lu
CULPA: 1 h-index: 54 Info -
Instructor:
Barclay Morrison
CULPA: 9 h-index: 42 Info -
Instructor:
Nandan L Nerurkar
Info -
Instructor:
Elizabeth Olson
h-index: 28 Info -
Instructor:
Paul Sajda
CULPA: 3 h-index: 47 Info -
Instructor:
Samuel Sia
CULPA: 1 h-index: 39 Info -
Instructor:
Stavros Thomopoulos
h-index: 63 Info -
Instructor:
Gordana Vunjak-Novakovic
Wikipedia h-index: 132 Info -
Instructor:
Qi Wang
h-index: 24 Info -
Instructor:
Stephen H Tsang
Wikipedia h-index: 58 Info -
Instructor:
Elham Azizi
h-index: 10 Info -
Instructor:
Tal Danino
Wikipedia h-index: 18 Info -
Instructor:
Ke Cheng
Info -
Instructor:
Santiago Correa
Info -
Instructor:
Grace McIlvain
Info -
Instructor:
Nuttida Rungratsameetaweemana
Info -
Instructor:
Parisa Yousefpour
Info -
Instructor:
Megan Heenan
Info - 1-6 points
SCREENWRITING THESIS WORKSHOP
SCREENWRITING THESIS ADVSMNT
Screenwriting concentrates who are focusing on Screenwriting MUST take Screenwriting Thesis Workshop with their advisor at least once during Research Arts matriculation in order to graduate. Students may take this class with their advisor whenever it is offered. They should consult with their advisor if they are considering taking Thesis Workshop at the same time as Script Revision or TV Revision.
- Department: Film
- T 10 a.m.-1 p.m.
- None None-None
- R 6 p.m.-9 p.m.
-
Instructor:
Minhal Baig
Info -
Instructor:
David Klass
Info -
Instructor:
Trey Ellis
Wikipedia Info - 0 points
PROOF OF CONCEPT
This class is specifically designed to give the 3rd year student an opportunity to learn how to create their own work in a safe and structured environment. The work will be broken into 7 parts and 10 classes.
- Department: Theatre Arts
- W 9:30 a.m.-12:30 p.m.
-
Instructor:
Rafi Silver
Info - 0 points
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:
Brian Boyd
CULPA: 6
Info
-
Instructor:
Hannah Chazin
Info -
Instructor:
Ellen Marakowitz
CULPA: 1 Info - 3-9 points
RSCH IN SOCIAL/CULTURAL ANTHRO
Prerequisites: the instructors permission. Individual research and tutorial in social and cultural anthropology for advanced graduate students.
- Department: Anthropology
-
Instructor:
Nicholas Glastonbury
Info - 3-9 points
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:
Marilyn Ivy
CULPA: 11
Wikipedia
Info
- 3-9 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
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
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
Info -
Instructor:
Konstantia Zanou
Info - 3 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
Info - 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
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
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
- M 8:30 a.m.-11:20 a.m.
-
Instructor:
Zhezhen Jin
h-index: 51 Info - 3 points
EPIDEMIOLOGY & SURVEILLANCE
- Department: Dental and Oral Surgery
-
Instructor:
Kavita Ahluwalia
h-index: 10 Info - 0 points
Master's Essay in Biostatistics: Patient
MASTER'S ESSAY-PATIENT OR
This seminar-style course will lead students through the process of writing a Master's Essay in the form of an NIH-style grant application (required for the MS/POR degree track). The essay is undertaken during the fall semester of the second year of study. At the end of the fall term, each student submits a written research proposal following NIH guidelines for either an R01 or K (career development) award. The emphasis in this course is on the quality of the proposed research. The following February, students make an oral presentation to the POR Advisory Board, summarizing the research proposal. Final grades are awarded after the presentations in February.
- Department: Biostatistics
-
Instructor:
Qixuan Chen
h-index: 27 Info - 0 points
Statistical Practices and Research for I
Stat Prac & Res for Int S
In this course, students will apply the concepts and methods introduced in Statistical Practices and Research for Interdisciplinary Science (SPRIS) I to a real research setting. Each student will be paired with a Biostatistics faculty member. The student will participate in one of the mentor’s collaborative projects to learn how to be an effective member of an interdisciplinary team. The relationship will mimic that between a medical resident and an attending physician.
The SPRIS II experience will vary depending on the assigned faculty member, but all students will gain exposure to preparing collaborative grant applications, designing research studies, analyzing real data, interpreting and presenting results, and writing manuscripts. Mentors will help to develop the student’s data intuition skills, ability to ask good research questions, and leadership qualities. Where necessary, students may replicate projects already completed by the faculty mentor to gain experience.
- Department: Biostatistics
- M 1 p.m.-3:30 p.m.
-
Instructor:
Christine M Mauro
Info - 1.5 points