Course Identification

Title:

Topics in Statistical Inference

Code:

20234132

Lecturers and Teaching Assistants

Lecturers:

Prof. Boaz Nadler

TA's:

Pini Zilber

Course Schedule and Location

Year:

2023

Semester:

Second Semester

When / Where:

Sunday, 09:15 - 12:00, Ziskind, Rm 155

First Lecture:

30/04/2023

End date:

21/07/2023

Field of Study, Course Type and Credit Points

Mathematics and Computer Science: Lecture; Elective; Regular; 2.00 points
Life Sciences: Lecture; Elective; Regular; 2.00 points

Comments

Starting 18.6 and till the end of the course it will start at 9:15am (instead 10:15)
The take-home exam will start on Sunday Aug-20. The students will have to submit it 1 week later on Sunday Aug-27

Prerequisites

No

Restrictions

Participants:

80

Language of Instruction

English

Attendance and participation

Expected and Recommended

Grade Type

Numerical (out of 100)

Grade Breakdown (in %)

Assignments:

40%

Final:

60%

Evaluation Type

Take-home exam

Scheduled date 1

Date / due date

27/08/2023

Location

N/A

Time

-

Remarks

The take-home exam will start on Sunday Aug-27. The students will have to submit it 1 week later on Sunday Sep-3

Estimated Weekly Independent Workload (in hours)

3

Syllabus

The course will cover several modern topics in statistical inference, including:

- Latent variable models,

- High Dimensional problems

- Expectation Maximization,

- Sparsity

- Low rank models

- Spectral Methods.

Learning Outcomes

N/A

Reading List

N/A

Website

N/A