Modern Management of IT (5 cr)

Evaluation scale

Pass/Fail

Content scheduling

The course starts in the end of August. The final project must be completed by December 5th, 2025.

Objective

The main objective is to learn some basic principles, methods, and practices in using IT (information technology) tools and techniques to analyze data, support decision making, and enhance business performance by managing devices, operating systems, applications, and other parts of IT in a unified and secure way. This includes the following learning outcomes:
- ability to investigate the application of modern management;
- ability to identify, locate, analyse, and obtain required data;
- ability to conduct searches of literature, to consult and critically use databases and other sources of information, to carry out simulation in order to pursue detailed investigations, and research of complex technical issues;

Content

The course contents is based on some of the basic principles of managing IT in organisations and partly on your own choice depending on the degree programme you are in. The course is divided in two parts: 1) programming assignment and 2) special assignment depending on the degree programme (artificial intelligence and data analytics, cyber security, full stack software development, and robotics).

Location and time

Both online (Teams or Zoom) and classroom teaching (in Dynamo)

Materials

Gibson, D. & Igonor, A. (2020). Managing risk in information systems. Jones & Bartlett Learning. Third edition
Trim, P. & Lee, Y.-I. (2016). Cyber Security Management: A Governance, Risk and Compliance Framework. Taylor and Francis.

Teaching methods

- learning tasks in small groups (both classroom teaching and online => hybrid implementation)
- lectures are recorded - independent study and distance learning

International connections

Small (international) group working on the given project idea.

Completion alternatives

The admission procedures are described in the degree rule and the study guide. The teacher of the course will give you more information on possible specific course practices.

Student workload

One credit (1 Cr) corresponds to an average of 27 hours of work.
- lectures 15 h
- exercises and workshops 15 h
- assignments 70 h
- independent study 35 h
Total 135 h

Assessment criteria, approved/failed

For passing you need to return 1) a solution for a programming assignment, and 2) a solution for a special assignment related to the degree programme. The detailed specifications for these two assignments will be given in the beginning of the course.
Fail (0): The student does now meet the minimum criteria set for the course.

Qualifications

Basics of programming (preferably Python) and operating systems (preferably Linux)

Further information

Evaluation methods include continuous feedback (from teacher), self-assessment, and peer evaluation. Evaluation is based on the quality of the assignments and the final seminar containing both documentation and the oral presentations.