Basic Information
Selected Topics in Data Science and Engineering That Demonstrate Typical Research Challenges in The Field of Data Science And Engineering Topics That Are Not Covered in Existing Courses. The Course Will Be Devoted to a Different Topic Each Semester. Learning Outcomes# At The End of The Course The Student Will Have Been Exposed to The State of The Art Research Topics in Data Science Or Exposed To Novel Data Sets and Topics. Note# a Detailed Syllabus Will Be Submitted For Approval to The Graduate School As a Condition For Opening The Course in Each Semester.
Faculty: Data and Decision Sciences
|Graduate Studies
Pre-required courses
Related Books
Semestrial Information
Weekly Hours
2.5 Academic Credit • 2 Lecture Hours • 1 Discussion Hours
Responsible(s)
Shlomi Laufer
Registration Groups
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Weekly Hours
2.5 Academic Credit • 2 Lecture Hours • 1 Discussion Hours
Responsible(s)
Shlomi Laufer
Notes
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מדעי הנתונים הכירורגים. הרישום לקור נעשה ישירות מול מרצה הקורס דר שלומי לויפר._יש לשלוח למרצה הקורס,תדפיס ץיונים ופיסקה בה אתה מסביר מדוע את/ה מעניין/ת_ לקחת את הקורס.בסופו של דבר ייבחרו סטודנטים/יות על פי,נק"ז,ציוני ם וקורסי קדם מתאימים.
Registration Groups
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Weekly Hours
2.5 Academic Credit • 2 Lecture Hours • 1 Discussion Hours
Registration Groups
|
|