Denmark, Odense

Computer Science - Deep Learning

when 5 August 2019 - 16 August 2019
language English
duration 2 weeks
credits 5 EC

Computer science forms the basis for development of efficient and secure modern software, and computer scientists excel at working at all levels from program developers to project managers and executives in software divisions and software companies.

Come and join the summer course “Deep learning” at SDU. 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.

The course is run by Department of Mathematics and Computer Science. The research of the department covers a broad area, is interdisciplinary and includes both pure and applied research. Computer science research topics include algorithmics, formal methods and programming languages, optimization, data mining, machine learning, bioinformatics and cheminformatics. The department offers high quality study programmes in computer science at both Bachelor and Master level. All courses on the Master level are offered in English.

TEACHING AND INSTRUCTION METHOD
The course will consist of lectures, exercise sessions, and programming sessions. The evaluation will be a written exam. Grading according to the Danish 7-point scale.

Course leader

Richard Röttger (roettger@imada.sdu.dk)

Target group

You must have completed at least two years of studies within computer science or related studies. Familiarity with Python programming is assumed.

Course aim

Machine learning has become a part in our everyday lifes, from simple product recommendations to personal electronic assistants 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 the student 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, all content will immediately put into practice by suitable exercises and programming tasks.

In relation to the competence profile of the degree it is the explicit focus of the course to:
-Give knowledge and understanding of a collection of specialized models and methods developed within Computer Science based on research on highest international level, as well as of models and methods aimed at applications in other subject areas.
-Give skills to describe, analyze and solve computational problems by using the methods learnt, to analyze pros and cons of different methods in Computer Science, as well as to develop new variants of the methods learnt where the problem at hands requires this.
-Give the competence to plan and execute scientific projects on a high technical level.

Fee info

EUR 0: Exchange students from a partner university pay no tuition. Guest students pay tuition fees. Tuition vary according to course and your nationality.

NON-EU student: 8635 DKK per course (1160 Euro)

EU Students: 4250 DKK per course (570 Euro)

Exchange students from partner university: No tuition

Read more on official website.