Subject: Subject Sylbus: Selected Topics in Data Science - 096290 (Previous)

Selected Topics in Data Science - 096290
Credit
Points
2.5
 
Given In
Semester
a
 
  Lecture Exercise Laboratory Project or
Seminar
House
Work
Weekly
Hours
2 1      

Determination of the grade according to progress during the semester.


Prerequisites: Introductio to Data Science 094201
or Machine Learning 1 096411
or Data Structures and Algorithms 094223


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. 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.


Timetable to semester 01/2020 2020/2021 Winter Semester semester Previous
RoomBuildingHourdayLecturerExercise
Lecture
no.Registering
Group
214נהול08:30-10:30WednesdayDoctor Amir OfraLecture1011
152בלומפילד08:30-09:30MondayMr. Amitai YotamExercise11

Created in 22/04/2021 Time 14:31:35