Advances in AI and Data Science for Healthcare
Lecturers and Teaching Assistants
Prof. Yonina Eldar, Prof. Eran Segal, Dr. Leeat Yankielowicz-Keren, Dr. Keren Peri-Hanania
Course Schedule and Location
Tuesday, 10:00 - 12:00
Field of Study, Course Type and Credit Points
Mathematics and Computer Science: Seminar; Elective; Regular; 2.00 points
Chemical Sciences: Seminar; Elective; Regular; 2.00 points
Life Sciences: Seminar; Elective; Regular; 2.00 points
The course will be held by hybrid learning.
The course will take place at Ulman 101
**This course is not for Auditors**
Background in deep learning
Attendance and participation
Estimated Weekly Independent Workload (in hours)
This seminar will cover important advances and recently published papers in AI and Data Science for Healthcare. Students will be able to choose a paper from a predefined list, or present a paper of their own choice (in coordination with the instructor).
Upon successful completion of this course students should be able to:
Become familiar with advances in the area of AI and Data Science for Healthcare, and presenting them to an audience.