INTRO-COMP APPL-HLTH CRE/BIOMD
Overview of the field of biomedical informatics,combining perspectives from medicine, computer science, and social science. Use of computers and information in health care and the biomedical sciences, covering specific applications and general methods, current issues, capabilities and limitations of biomedical informatics.
- TR 4:10 p.m.-5:25 p.m.
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Instructor:
Gamze Gursoy
Info - 3 points
METHODS III: SYMBOLIC METHODS
METHODS II:SYMBOLIC METHODS
This course is customized for 1st-year PhD and MA students in the biomedical informatics graduate program and also
open to other interested students at Columbia. It provides a detailed overview of symbolic methods.
- F 10 a.m.-11:15 a.m.
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Instructor:
Chunhua Weng
h-index: 37 Info - 3 points
Projects in Mathematical Genomics
Projects Math Genomics
Mathematical genomics synthesizes between high resolution quantitative research and molecular measurements in the context of clinical or biological analysis. This course will provide independent research experience in this field for interested students under the direction of a faculty advisor. This course is suitable for students with background in the subject matter (e.g., biology, chemistry) who wish to learn quantitative data analysis and methods development, as well as for those with technical background (e.g., biomedical informatics) who wish to apply their skills to biological research. Instructor permission is required for registration.
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Instructor:
Tal Korem
h-index: 18 Info -
Instructor:
Raul Rabadan
Wikipedia h-index: 72 Info -
Instructor:
Mohammed Alquraishi
Info - 1-6 points
MGMT OF HEALTH INFORMATION TECH
- F 1 p.m.-5 p.m.
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Instructor:
Virginia G Lorenzi
Info - 3 points
SKILLS/MGMT OF HLTH INFO TECHNOLOGY
- F 9 a.m.-1 p.m.
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Instructor:
Virginia G Lorenzi
Info - 3 points
Microbiome Data Analysis: Methods, Impac
This course aims to provide a comprehensive understanding of computational approaches in the microbiome field. Through the discussion of state-of-the-art methods and algorithms, we will review key methodological challenges in microbiome data analysis, such as taxonomic inference, compositional data analysis, reference-free metagenomic reconstructions, and applications of machine learning. To understand the role of these challenges and methods in the wider context of biological research in the field, we will discuss major high-impact controversies among researchers as well as impactful areas of clinical and biological investigations. The course will comprise of lectures, short weekly assignments, a midterm, and a final presentation. Each week will comprise a lecture on computational methods and another on clinical impact and controversies. By the end of the course, students will have a deep understanding of the current state of microbiome research and potential future directions, and will be able to dissect and analyze different computational approaches for their advantages and disadvantages in the context of progress in the field.
This course is suitable for: biology-oriented students who wish to obtain a better understanding of computational challenges in the field; CS/engineering students who wish to get exposure to applications of computational methods in biology; microbiome enthusiasts.
Prerequisites:
A prior introductory class in mathematics or statistics.
- W 9 a.m.-10 a.m.
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Instructor:
Tal Korem
h-index: 18 Info - 3 points
RES SEM IN BIOMED INFORMATICS
Prerequisite: open to public. Presentations by medical informatics faculty and invited international speakers in medical informatics, computer science, nursing informatics, library science, and related fields.
- M 1 p.m.-2 p.m.
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Instructor:
Sarah A Rossetti
Info - 1 points
PROJECTS-BIOMEDICAL INFORMATCS
Research in medical informatics under the direction of a faculty adviser.
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Instructor:
Suzanne Bakken
Wikipedia h-index: 70 Info -
Instructor:
Noemie Elhadad
Wikipedia h-index: 46 Info -
Instructor:
Chunhua Weng
h-index: 37 Info -
Instructor:
Mohammed Alquraishi
Info -
Instructor:
Andrea Califano
h-index: 77 Info -
Instructor:
Dennis Vitkup
Info -
Instructor:
Raul Rabadan
Wikipedia h-index: 72 Info -
Instructor:
Rita Kukafka
h-index: 28 Info -
Instructor:
George M Hripcsak
Info -
Instructor:
Herbert S Jr Chase
Info -
Instructor:
Olena Mamykina
Info -
Instructor:
Yufeng Shen
h-index: 47 Info -
Instructor:
Karthik Natarajan
h-index: 17 Info -
Instructor:
Gamze Gursoy
Info -
Instructor:
Sarah A Rossetti
Info - 1-12 points
PROJECTS-BIOMEDICAL INFORMATCS
Research in medical informatics under the direction of a faculty adviser.
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Instructor:
Soojin Park
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Instructor:
Tal Korem
h-index: 18 Info -
Instructor:
Shalmali Joshi
Info -
Instructor:
Pierre Elias
Info - 1-12 points
READINGS IN BIOMED INFORMATICS
Prerequisite: approval of adviser. Readings on topics in medical informatics under the direction of a faculty adviser.
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Instructor:
Suzanne Bakken
Wikipedia h-index: 70 Info - 1-12 points
M.PHIL TEACHING EXPERIENCE
Prerequisite: instructors permission. Participation in medical informatics educational activities under the direction of a faculty adviser.
- 2 points
M.PHIL TEACHING EXPERIENCE
Prerequisite: instructors permission. Participation in medical informatics educational activities under the direction of a faculty adviser.
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Instructor:
Chunhua Weng
h-index: 37 Info -
Instructor:
Shalmali Joshi
Info -
Instructor:
Gamze Gursoy
Info -
Instructor:
Tal Korem
h-index: 18 Info - 2 points
DOCTORAL RESEARCH
Prerequisite: completion of all M.Phil. requirements, and approval of a research proposal by the supervising faculty adviser.
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Instructor:
Noemie Elhadad
Wikipedia h-index: 46 Info -
Instructor:
Chunhua Weng
h-index: 37 Info -
Instructor:
Dennis Vitkup
Info -
Instructor:
Raul Rabadan
Wikipedia h-index: 72 Info -
Instructor:
Olena Mamykina
Info -
Instructor:
Nicholas Tatonetti
Wikipedia h-index: 36 Info -
Instructor:
Yufeng Shen
h-index: 47 Info -
Instructor:
Sarah A Rossetti
Info -
Instructor:
Harris Wang
h-index: 32 Info -
Instructor:
George M Hripcsak
Info -
Instructor:
Gamze Gursoy
Info - 1-12 points
DOCTORAL DISSERTATION
Prerequisite: completion of all M.Phil. requirements. Ph.D. candidates may be required to register for this course every term during the preparation of the dissertation.
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Instructor:
Noemie Elhadad
Wikipedia h-index: 46 Info -
Instructor:
Dennis Vitkup
Info -
Instructor:
Nicholas Tatonetti
Wikipedia h-index: 36 Info -
Instructor:
George M Hripcsak
Info -
Instructor:
Harris Wang
h-index: 32 Info - 0 points