Instructor: Prof. Gamze Gürsoy (gg2845 at cumc.columbia.edu)

TAs: Abigail Newbury (amn2217 at cumc.columbia.edu), Jaeweon Shin (js6118 and cumc.columbia.edu), and Yuta Kobayashi (yk3043 at cumc.columbia.edu)

Time/date: Tuesday/Thursday 4:10pm-5:25pm Location: RSC 606  (Morningside campus)

A syllabus of the class can be found here.

Homeworks/Attendance: Students will write a half page description of what the lecture was about due the start of the next lecture. Each homework is worth 1 point and you can miss at most 3 of them. Total of 19 points. Generative AI is not allowed, please see Columbia policy. Violations will not be tolerated. All students have to attend the final presentations, which will be total of 4 points.

Term paper: To be announced on October 15, 2024 and due December 3, 2024 5pm EST. Total of 33 points.

Final project description can be found here. You’re encouraged to consult with the TAs on the design of your project. TAs will set up in-person office hours for right after the class; you can also schedule zoom office hours with them. A guideline for the project presentations can be found here. Total of 44 points.

BINF4001 is the introductory class for the Biomedical Informatics and taught on Morningside campus (room RSC 606).  This class spans an overview of the field of biomedical informatics, combining perspectives from medicine, computer science, and social science. It outlines the 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.

Biomedical Informatics studies the organization of medical information, the effective management of information using computer technology, and the impact of such technology on medical research, education, and patient care. The field explores techniques for assessing current information practices, determining the information needs of health care providers and patients, developing interventions using computer technology, and evaluating the impact of those interventions.