Modern Management of IT (5 cr)
Code: YT00CA12-3001
General information
- Enrollment
-
26.08.2024 - 01.09.2024
Registration for the implementation has ended.
- Timing
-
26.08.2024 - 18.12.2024
Implementation has ended.
- Number of ECTS credits allocated
- 5 cr
- Local portion
- 1 cr
- Virtual portion
- 4 cr
- RDI portion
- 2.5 cr
- Mode of delivery
- Blended learning
- Unit
- School of Technology
- Teaching languages
- English
- Seats
- 0 - 130
- Degree programmes
- Master´s Degree Programme in Information Technology
- Master's Degree Programme in Artificial Intelligence and Data Analytics
- Teachers
- Jouni Huotari
- Juha Peltomäki
- Karo Saharinen
- Harri Varpanen
- Olli Väänänen
- Teacher in charge
- Jouni Huotari
- Groups
-
YTP24S1Master's Degree Programme in Robotics
-
YTS24S1Master of Engineering, Degree Programme in Information Technology, Full Stack Software Development
-
YTC24KVMaster of Engineering, Degree Programme in Cyber Security, vaihto-opiskelu/Exchange studies
-
YTI24S1Master's Degree Programme in Artificial Intelligence and Data-analytics
-
YTC24S1Master of Engineering, Degree Programme in Cyber Security
- Course
- YT00CA12
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.
Evaluation scale
Pass/Fail
International connections
Small (international) group working on the same 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.
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.
Employer connections
Possible visiting experts from the industry.
Virtual portion
4
Student workload
One credit (1 Cr) corresponds to an average of 27 hours of work.
- discussions and guidance 20 h
- exercises and workshops 20 h
- assignments 60 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.
Content scheduling
The course starts in the end of August or the beginning of September. The final seminar takes place during December.
Teaching language
en
Teaching methods
- learning tasks in small groups (both f2f and online => hybrid implementation)
- lectures are recorded - independent study and distance learning
Location and time
Online (Teams) and f2f (Dynamo building)
Number of ECTS credits allocated
5
Qualifications
Basics of programming (preferably Python) and operating systems (preferably Linux)
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).
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;