Subject: Subject Sylbus: Data Ethics - 096232 (Current)

Data Ethics - 096232
Credit
Points
2.0
 
Given In
Semester
b
 
  Lecture Exercise Laboratory Project or
Seminar
House
Work
Weekly
Hours
2        

Determination of the grade according to progress during the semester and the submission of the final thesis


Prerequisites: Machine Learning 1 096411


An Introduction to Critical Ethical Issues Surrounding Big Data in Order That Students Will Develop a Workable Understanding of Current Ethical Issues and Policy-Related Concepts in Data Science, Including Protection of Privacy and Data, Algorithmic Behavior, Discrimination and Manipulation, Copyrights, Censorship, Etc.
1. the Student Will Gain Understanding of Legal and Ethical Issues as It Applies to the Use and Interpretation of Data in the Data Science Domain.
2. the Student Will Analyze the Data Scientist Responsibility and the Public Responsibility of the Regulator Within the Area of Big Data.


הערות
9 מיפגשים.
תאריכי המפגשים: ,03.6 ,01.6 ,27.5
17.6 ,15.6 ,14.6 ,10.6 ,08.6 ,07.6


Timetable to semester 02/2020 2020/2021 Spring Semester
RoomBuildingHourdayLecturerExercise
Lecture
no.Registering
Group
  16:30-20:30Thursday Lecture1010

Created in 08/03/2021 Time 14:46:10