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Deep machine learning

Master's level | 7.5 credits | Course code: DIT869
Autumn 2019
50% Day
Göteborg
Period: 2 September 2019 - 1 November 2019
INSTRUCTION LANGUAGE: English
2 Closed GU-18678
2) Only EU/EEA citizens and students with approved residence permit in Sweden can apply

About the Course

The purpose with this course is to give a thorough introduction to deep machine learning, also known as deep learning or deep neural networks. Over the last few years, deep machine learning has dramatically changed the state of the art performance in various fields including speech-recognition, computer vision and reinforcement learning (used, e.g., to learn how to play Go). We focus primarily on basic principles regarding how these networks are constructed and trained, but we also cover many of the key techniques used in different applications. The overall objective is to provide a solid understanding of how and why deep machine learning is useful, as well as the skills to apply them to solve problems of practical importance.

More Information

https://studentportal.gu.se/...

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Course Syllabus

DIT869

Requirements and Selection

Requirements: To be eligible to the course, the student should have a Bachelor's degree in any subject, or have successfully completed 90 credits of studies in Computer Science, Software Engineering, Mathematics, or equivalent. In particular, the student must have acquired the following knowledge:

  • 15 credits of courses in programming or equivalent,
  • a course including probability and statistics, such as DIT862 Statistical Methods for Data Science or MSG810 Mathematical Statistics and Discrete mathematics, 
  • 7.5 credits of linear algebra or equivalent
  • 7.5 credits of calculus or equivalent, such as MMGD30 Calculus,
  • a first course in machine learning, such as DIT866 Applied Machine Learning, DIT381 Algorithms for Machine Learning and Inference, or MSA220 Statistical Learning for Big Data

    Applicants must prove knowledge of English: English 6/English B or the equivalent level of an internationally recognized test, for example TOEFL, IELTS.

Selection: Selection is based upon the number of credits from previous university studies, maximum 225 credits.

Tuition Fee

Application fee: 900 SEK
Full course cost: 17 587 SEK
First payment: 17 587 SEK

EU/EEA citizens, Swedish residence permit holders and exchange students do not pay fees. More information on: http://www.universityadmissions.se

Study Guidance

E-post: svl@cse.gu.se

Department

Department of Computer Science and Engineering
41296 Göteborg

Visiting address: Rännvägen 6 B

Page Manager: Pontus Sundén
Last update: 6/15/2018 12:12 PM

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Page Manager: Pontus Sundén|Last update: 10/16/2018
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