Programmes

Deep Learning

Summer School of Data Science, 5 ECTS
Mathematics, natural- and computer science

Institution University of Southern Denmark (SDU)
Campus Odense
Duration 2 weeks
Website https://www.sdu.dk/en/uddannelse/sdu_summer_school/engineering_and_science_summer_school/data_science/deep_learning

Description

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.

Career Opportunities

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.

MSc in Computer Science
MSc in Software Engineering

About the Degree

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.

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.

Teaching and Instruction method
The course will consist of lectures supported by discussion sessions. The students will get accompanying exercises demonstrating the collected knowledge on practical real-world problems. The student activation is completed by a mandatory project and discussions of current state-of-the-art research papers during the study phase.The evaluation will be based on the technical reports and the presentation of selected results.  Grading according to the Danish 7-point scale.

Admission

You must have completed at least two years of studies within computer science or related studies.

In addition, documentation may be required verifying that your proficiency in English is at a specified level. Read about the language requirements of the University of Southern Denmark

Apply directly at the University of Southern Denmark with all relevant documentation.

To find out whether the level of your foreign certificate or diploma satisfies the general entry requirements, you should contact The University of Southern Denmark directly. A list of the most commonly recognized exams and diplomas can be found at the Danish Agency for Higher Education http://ufm.dk/en/recognition

Exchange students should contact their home institution for information on application procedures and deadlines.

Tuition

There is a tuition fee for all full-time degree students who hold a citizenship from outside of EU/EAA/Switzerland.  

Students within an exchange programme are not required to pay tuition. 

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 


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.