Subject: Subject Sylbus: Selected Topics in Data Science - 096290

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.




System of hours to the semesters
Semester Previous Semester information 01/2020 2020/2021 Winter Semester

Created in 06/03/2021 Time 01:33:39