About the course

The course provides insights into the use of data processing methods based on Artificial Intelligence, and data storage systems related to IoT applications.

This course is offered as part of a programme:

Computer Science: Internet of Things, Master’s Programme (Two-Year)

Course content

Syllabus spring 2024

Earlier syllabuses

Entry requirements and selection

Entry requirements

  • Bachelor of Science in Engineering (at least 180 credits) or a bachelor’s degree in computer science or related fields such as computer engineering, computer and information science, software engineering, informatics, telecommunications or electrical engineering.
  • At least 15 credits in programming.
  • Equivalent of English 6/English B in secondary school.
  • Minimum of a passing grade from the course: Introduction to IoT (DA640E)

Course literature

  • Han, J., Kamber, M., & Pei, J. (2011). Data mining: Concepts and techniques (3rd ed.). Waltham: Morgan Kaufmann.
  • Russell, Stuart Jonathan & Norvig, Peter (2010). Artificial intelligence: a modern approach. (3rd ed.) Boston: Pearson Education.

Reference literature:

  • Harrison, G. (2016). Next Generation Databases: NoSQLand Big Data, Apress, 1st ed. Edition
  • Relevant scientific articles on the topic of future ethics.

Course evaluation

The University provides students who are taking or have completed a course with the opportunity to share their experiences of and opinions about the course in the form of a course evaluation that is arranged by the University. The University compiles the course evaluations and notifies the results and any decisions regarding actions brought about by the course evaluations. The results shall be kept available for the students. (HF 1:14).

Contact

For more information about the education:

tsstudent@mau.se

This education is provided by

Faculty of Technology and Society

The Faculty of Technology and Society (TS), conducts education and research with a focus on technology and natural sciences, in...

Department of Computer Science and Media Technology

The Department of Computer Science and Media Technology provides research-linked courses and study programmes at first-cycle an...