Applied Data Mining

7,5 credits

The aim of the course is to enable students to familiarise themselves with the practical challenges of authentic data mining issues in the context of computer networks and network security. By being exposed to problem formulations at the business level, analysis of the volume and quality of the available data, selection of suitable algorithms, and evaluation of results, students are expected to acquire an understanding of the possibilities as well as limitations of different methods of machine learning focusing on computer networks and network security.

Autumn 2019 (Campus based, Halmstad, 50%)

Level:

Advanced level

Application code:

X3501

Entry requirements:

Bachelor of Science degree (equivalent of 180 Swedish credit points / ECTS credits at an accredited university) in an engineering subject or in computer science. Courses in computer technology, digital communication, computer networks, computer science or digital forensics of at least 90 higher education credits, of which 15 credits must be in Computer networks and 7.5 credits in Programming. Courses in mathematics of at least 15 higher education credits. Applicants must have written and verbal command of the English language equivalent to English course 6 (Swedish Upper-Secondary School). This can be proved by grades from English education or by such tests as:

  • IELTS: score (Academic) of 6.5 or more (with none of the sections scoring less than 5.5)
  • TOEFL paper based: score of 4.5 in written test and a total score of 575
  • TOEFL internet-based: score of 20 in written test and a total score of 90

Selection rules:

Available for exchange students. Limited numbers of seats.

Start week:

week: 45

Instructional time:

Daytime

Language of instruction:

Teaching is in English.

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