Course Identification

Title:

Topics in statistical modeling and inference

Code:

20244092

Lecturers and Teaching Assistants

Lecturers:

Prof. Boaz Nadler

TA's:

Eyar Azar

Course Schedule and Location

Year:

2024

Semester:

Second Semester

When / Where:

Sunday, 10:15 - 12:00, Ziskind, Rm 1

First Lecture:

07/04/2024

End date:

07/07/2024

Field of Study, Course Type and Credit Points

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

Comments

The class will start at 9:15am (instead of 10:15am) on July-7.

On May 5 & June 23 there won't be meetings
In order to make for the lost 2 hours, the course will start 1 hour earlier (at 9:15am) on the following two dates:

June-9
June-30

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

N/A

Location

N/A

Time

-

Remarks

N/A

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

Upon successful completion of this course students will be familiar with several modern topics in statistics, the involved challenges, techniques to address them and their theoretical foundations.

Reading List

N/A

Website

N/A