Applied Data Mining
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.
For international students teaching takes place online without meeting at the campus.
For exchange students teaching takes place on campus.
Level:
Advanced level
Application code:
X3503
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 in Swedish Upper-Secondary School.
Selection rules:
Available for exchange students. Limited numbers of seats.
Start week:
week: 44
Instructional time:
Daytime
Language of instruction:
Teaching is in English.
