Introduction to Optimization | Programs and Courses

Undergraduate Program Status

Mandatory	Bachelor of Arts / Bachelor of Science in Data Science and Society	2nd year

Course Level:

Bachelor's

Campus:

Vienna

Course Open to:

Students on-site

Academic Year:

2022-2023

Term:

Winter

Host Unit:

Undergraduate Studies

Instructor:

Imre Fekete

US Credits:

ECTS Credits:

Course Code:

UGST4090

Course Description:

This course will provide a comprehensive introduction to optimization including convex and non-convex optimization and principal component analysis providing various real life examples.

Learning Outcomes:

By the end of the course, students will understand the notions linear programming, convex and non-convex optimization, and will be able to use these concepts effectively.

Prerequisites:

Homework (10%), Group project (40%), Final (50%)