Course Identification

Title:

Advances in AI and Data Science for Healthcare

Code:

20244221

Lecturers and Teaching Assistants

Lecturers:

Prof. Yonina Eldar, Prof. Eran Segal, Dr. Leeat Yankielowicz-Keren, Dr. Keren Peri-Hanania

TA's:

N/A

Course Schedule and Location

Year:

2024

Semester:

First Semester

When / Where:

Tuesday, 10:00 - 12:00, Ulman, 101

First Lecture:

12/12/2023

End date:

27/02/2024

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

Comments

The course will be held by hybrid learning.
The course will take place at Ulman 101
**This course is not for Auditors**

Prerequisites

Background in deep learning

Restrictions

Participants:

24

Language of Instruction

English

Attendance and participation

Obligatory

Grade Type

Numerical (out of 100)

Grade Breakdown (in %)

Attendance

15%

Seminar:

85%

Evaluation Type

Seminar

Scheduled date 1

Date / due date

N/A

Location

N/A

Time

-

Remarks

N/A

Estimated Weekly Independent Workload (in hours)

N/A

Syllabus

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).

Learning Outcomes

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.

Reading List

N/A

Website

N/A