Risk Management (5 cr)
Code: MS00CM64-3001
General information
Enrollment
17.04.2023 - 17.09.2023
Timing
01.09.2023 - 01.12.2023
Number of ECTS credits allocated
5 op
Virtual portion
5 op
Mode of delivery
Distance learning
Unit
Engineering and Business
Campus
Location-independent
Teaching languages
- English
Seats
15 - 25
Degree programmes
- Joint Elective Studies
Teachers
- Reetta Raitoharju
- Tapani Kilpeläinen
- Kaisa Sorsa
- Heidi Salokangas
Scheduling groups
- Avoimen AMK:n kiintiöpaikat. Ilmoittaudu ilman tätä pienryhmää (Size: 5. Open UAS: 5.)
Groups
-
VAVY2324
Small groups
- Open UAS quota. Please enroll without selecting this group
- 29.11.2023 08:15 - 11:45, Risk Management MS00CM64-3001
Objective
After completing the course, the student is able to:
- describe the general risk management process
- identify, evaluate and analyze the risks in the context of quality management at his/her own field
- identify, evaluate and analyze product development risks and/or process risks
- identify, evaluate and analyze project risks
- manage legal risks
- select applicable risk management methods for his/her own field
Content
- General risk management terms and definitions
- General risk management process
- Management of legal risks (e.g. corporate sustainability due diligence)
- Project risk evaluation and risk plans
- Applicable risk management standars (e.g. SFS-EN14971)
- Selection of risk evaluation tools and methods
Materials
Suggested article list in ItsLearning,
Industry Specific Risk Management Standards
and other materials provided by the lecturers.
Teaching methods
Course is 100% online and instruction language is English, but the final output (= report) can be done in Finnish. If all participants are Finnish-speaking, kick-off and discussions can also be held in Finnish.
Pre-assignments will be opened for you min 1 week before the meeting.
Mainly independent & self-directive learning
Collaborative asynchronous discussions with other students on discussion forums
Exam schedules
no exams
International connections
Innovation pedagogy, flipped learning
Student workload
Total, average student work is about 133h. Webinars cover about 16h, all remaining in individual learning, assignment works including student group collaboration.
Introduction to the theme and terminology: pre-reading list + multiple choice test
Designing and implementing risk analysis framework and tools for your own business field or organisation (or other institution, brand etc.)
Reporting results and suggestions.
Self-evaluation of learning and individual learning diary.
Content scheduling
General risk management terms and definitions
- General risk management process
- Management of legal risks (e.g. corporate sustainability due diligence)
- Project risk evaluation and risk plans
- Applicable risk management standars (e.g. SFS-EN14971)
- Selection of risk evaluation tools and methods
Further information
ItsLearning
Evaluation scale
H-5
Assessment methods and criteria
Grading of the course is done as follows:
Terminology multiple choice test 20 %
Participation for contact lessons 10 %
Group work report and presentation 30 %
Personal Learning Diary 40 %
Course can be approved when all the assignments are passed at least with the minimum grade.
Assessment criteria, fail (0)
Quantity:
Assignments are not completed to an acceptable level.
Quality:
The minimum learning objectives are not met (see course description),
There is a lack of knowledge of academic conventions.
Assessment criteria, satisfactory (1-2)
Quantity:
Research, thinking, communication and reflection are acceptable
Quality:
Appear to grasp theory and have made a start in showing its applicability.
Knowledge of academic conventions is inadequate.
Assessment criteria, good (3-4)
Quantity:
Research, thinking, communication and reflection are good.
Quality:
General understanding of theory and application in real-life context
Knowledge of academic conventions is good, although there may be systematic minor errors.
Assessment criteria, excellent (5)
Quantity:
Mastery of theory and penetrating insights in real-life context
Quality:
Outstanding research, thinking, communication and reflection
Knowledge of academic conventions is excellent.