Syllabus - Applied Artificial Intelligence (96317)

Syllabus Applied Artificial Intelligence - 96317
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Last update 10-08-2023
HU Credits: 2 Degree/Cycle: 1st degree (Bachelor) Responsible Department: Medicine Semester: 1st Semester Teaching Languages: Hebrew Campus: Ein Karem Course/Module Coordinator: Prof. Tommy Kaplan Coordinator Email: tommy@cs.huji.ac.il Coordinator Office Hours: Upon request Teaching Staff: Prof Tommy Kaplan, Prof Nir Friedman Course/Module description: Applied Artificial Intelligence Course/Module aims: Basic concepts and limitations of AI and ML in medicine Learning outcomes - On successful completion of this module, students should be able to: Basic concepts and limitations of AI and ML in medicine Attendance requirements(%): 80% Teaching arrangement and method of instruction: Frontal Course/Module Content: NA Required Reading: NA Additional Reading Material: Grading Scheme : Written / Oral / Practical Exam 50 % Presentation / Poster Presentation / Lecture/ Seminar / Pro-seminar / Research proposal 14 % Submission assignments during the semester: Exercises / Essays / Audits / Reports / Forum / Simulation / others 36 % Additional information:

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