Courses
One of our goals is to prepare future workforce for the up-and-coming autonomous driving industry in Estonia (and elsewhere) — this is a long process. Providing the students here at the Institute of Computer Science with a variety of courses that provide them with an opportunity to get familiar with the basics of self-driving software, is a critical first step.
Here is an overview of the different courses taught at our institute. Be sure to check out the links that take you to the Study Information System, if you’re interested in the specifics!
INTRODUCTORY COURSE
Fundamentals of Autonomous Driving
6 ECTS
LTAT.06.011
Lecturer: NAVEED MUHAMMAD
Content and relation to ADL activities:
Introduces all the sub-problems that need to be solved to build an autonomous driving system.
Introduces all the sub-problems that need to be solved to build an autonomous driving system.
INTRODUCTORY COURSE
Introduction to Data Science
6 ECTS
LTAT.02.002
Lecturer: MEELIS KULL
Content and relation to ADL activities:
Sensor data analysis is at the core of modern self-driving. This course gives a brief overview of the basic concepts, principles and practice of data science. The main goal is to learn to plan and carry out a simple practical data science project.
Sensor data analysis is at the core of modern self-driving. This course gives a brief overview of the basic concepts, principles and practice of data science. The main goal is to learn to plan and carry out a simple practical data science project.
