Linear Algebra: Theory, Intuition, Code [Linear Algebra]

Dozent/in:

Alexander Pastukhov

Angaben:

Seminar, 2 SWS, ECTS: 3

Termine:

Do, 12:00 - 14:00, M3N/03.29

Voraussetzungen / Organisatorisches:

The course does not require any mathematical background beyond school algebra. Basic knowledge of R or Python is advantageous but not required.

Inhalt:

This is a book-club style seminar for those who are interested developing intuition about linear algebra. Linear algebra is at the heart of science acting as a foundation statistics and applied modelling. The book and the course focus on key concepts that are critical to developing an intuition of how applied tools, such as statistical models fitting procedures, work. The course does not require any mathematical background beyond school algebra. Basic knowledge of R or Python is advantageous but not required.

Empfohlene Literatur:

"Linear Algebra: Theory, Intuition, Code" by Mike X Cohen