Programmes

Deep Learning

Summer School of Engineering, 5 ECTS
Engineering

Institution University of Southern Denmark (SDU)
Campus Odense
Duration 2 weeks
Tuition per term (Non-EU/EAA/CH) 1160 EUR
Tuition per term (EU/EAA/CH) 570 EUR
Website https://www.sdu.dk/en/Uddannelse/SDU_summer_school/summerschool_courses
Machine learning has become a part in our everyday life, from simple product recommendations to personal electronic assistant to self-driving cars. Especially deep learning has gained a lot of interest in the media and has demonstrated impressive results. This intensive course will introduce you to the exciting world of deep learning. We will learn about the theoretical background and concepts driving deep learning and highlight and discuss the most noteworthy applications of deep learning but also their limitations. Furthermore you will also apply and implement your first deep neural networks in order to solve various interesting machine learning tasks.

Academic preconditions: Students taking the course are expected to
- to be profound programmers (python)
- have a basic understanding of linear algebra
- have knowledge corresponding to two years of Bachelor's studies in computer science

Admission/Tuition:
Exchange students from a partner university pay no tuition.
Guest students pay tuition fees. Please read more: 
https://www.sdu.dk/en/Uddannelse/SDU_summer_school/Fees

For Further Information:
Information from the Danish Agency for Higher Education can be located at 
http://en.fivu.dk/. You will find information about the Danish assessment of foreign qualifications in Guide to diploma recognition. About the Educational System in general, visit the section The Danish Higher Education System.


Summer School 2023

Application date
May 01
Start date
Aug 07

Odense

Description

At Campus Odense 800 researchers and nearly 12 000 students every day work on discovering new knowledge, realisation, and education. Campus Odense is also home to The University Library of Southern Denmark which supports research and education through books and access to databases.

A web of cycle lanes connects Campus Odense with the inner city. A city filled with leisure offers for both students, researchers, and teachers.