Subject: Subject Sylbus: Predictive Analytics in Fintec - 096292 (Current)

Predictive Analytics in Fintec - 096292
Credit
Points
3.0
 
Given In
Semester
a
 
  Lecture Exercise Laboratory Project or
Seminar
House
Work
Weekly
Hours
2 1   1 3

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


Prerequisites: Machine Learning 1 096411


The Course Covers Practical Aspects of Predictive Analytics in the Financial Domain with Emphasis on Models of Risk, Pension, Real Estate, Insurance, Fraud, and Behavioral. at the End of the Course the Student Will Be Able to:
1. Apply Fundamental Concepts in Financial Technologies (Fintech).
2. Execute Prediction Models in Field of Finance.


Timetable to semester 02/2020 2020/2021 Spring Semester
RoomBuildingHourdayLecturerExercise
Lecture
no.Registering
Group
  13:30-15:30MondayDoctor Ben Artzi AchikamLecture1011
     Project11
  15:30-16:30Monday Exercise11


Textbooks
PublishedPublisherAuthorsBook
2018ohn wiley and sonsde prado, marcos lopezadvances in financial machine learning.

Created in 08/03/2021 Time 15:13:52