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Syllabus

Course Number 0365-3344-01
Course Name Statistics Seminar
Academic Unit The Raymond and Beverly Sackler Faculty of Exact Sciences -
Statistics and Operations Research
Lecturer Dr. Amit Moscovich EigerContact
Contact Email: mosco@tauex.tau.ac.il
Office HoursBy appointment
Mode of Instruction Seminar
Credit Hours 2
Semester 2023/1
Day Wed
Hours 15:00-17:00
Building Shenkar - Physics
Room 105
Course is taught in English
Syllabus Not Found

Short Course Description

Seminar in statistical learning (taught in english).

This seminar has two goals:
1. To practice self-study and presentation in a classroom setting (using a slideshow and/or whiteboard).
2. To study the basics of statistical learning and see what modern research papers look like.

In the first part of this seminar, the students will study and teach chapters from the following textbook (or the equivalent R book):
An Introduction to Statistical Learning with Applications in Python by James, Witten, Hastie, Tibshirani and Taylor (2023).
It is freely available here: https://www.statlearning.com

In the second part of the seminar, the students will present different papers related to statistical learning from a curated list.

The grade will be based on the quality of the presentation and the student's demonstrated understanding of the material.

Notes:
* The talks will be given in english.
* Participation is mandatory.



Full syllabus will be available to registered students only
Course Requirements

Students may be required to submit additional assignments
Full requirements as stated in full syllabus

PrerequisiteProbability for Sciences (03652100) ORProbability For (03663098) +Statistical Models a (03652305)

The specific prerequisites of the course,
according to the study program, appears on the program page of the handbook



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