Leadership (5 cr)
Code: 3041149-3010
General information
- Enrollment
- 02.12.2024 - 03.03.2025
- Registration for the implementation has ended.
- Timing
- 03.03.2025 - 25.05.2025
- Implementation has ended.
- Number of ECTS credits allocated
- 5 cr
- Local portion
- 3 cr
- Virtual portion
- 2 cr
- Mode of delivery
- Blended learning
- Unit
- Engineering and Business
- Campus
- Kupittaa Campus
- Teaching languages
- English
- Seats
- 15 - 40
- Degree programmes
- Degree Programme in Business
- Teachers
- Nicolas Le Grand
- Course
- 3041149
Realization has 8 reservations. Total duration of reservations is 23 h 0 min.
Time | Topic | Location |
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Mon 03.03.2025 time 10:00 - 13:00 (3 h 0 min) |
Leadership 3041149-3010 |
LEM_A173_Lemminkäinen
Lemminkäinen
|
Fri 21.03.2025 time 12:00 - 15:00 (3 h 0 min) |
Leadership 3041149-3010 |
LEM_A309
Oppimistila BYOD
|
Wed 26.03.2025 time 08:00 - 11:00 (3 h 0 min) |
Leadership 3041149-3010 |
EDU_3034
Helena muunto byod
|
Thu 10.04.2025 time 12:00 - 15:00 (3 h 0 min) |
Leadership 3041149-3010 |
ICT_A1038b
Oppimistila
|
Thu 17.04.2025 time 10:00 - 13:00 (3 h 0 min) |
Leadership 3041149-3010 |
LEM_A173_Lemminkäinen
Lemminkäinen
|
Thu 24.04.2025 time 10:00 - 13:00 (3 h 0 min) |
Leadership 3041149-3010 |
LEM_A173_Lemminkäinen
Lemminkäinen
|
Wed 30.04.2025 time 10:00 - 13:00 (3 h 0 min) |
Leadership 3041149-3010 |
LEM_A309
Oppimistila BYOD
|
Wed 07.05.2025 time 10:00 - 12:00 (2 h 0 min) |
Leadership 3041149-3010 |
LEM_A309
Oppimistila BYOD
|
Evaluation scale
H-5
Content scheduling
Key concepts in Leadership
Power, influence and leadership
Delegation or the art of developing others
Leading change
Leader toolbox (rewarding, delegating, briefing/debriefing, mistake correction, sanctioning...)
Objective
After completing the course the student:
- knows and understands key leadership principles and practices;
- recognizes how leaders can motivate their staff using intrinsic and extrinsic motivators
- recognizes the different ways a leader can, for example, set goals, reward and develop his/her staff
Content
- Key concepts in leadership
- Motivation, satisfaction and performance
- Power, influence and leadership
- Delegation or the art of developing others
- Conflict resolution
- Leading change
- Leader toolbox
Materials
Selection of articles and videos to be available in Itslearning:
• Martine Haas, Mark Mortensen - Jun 2016 – The secrets of Great Teamwork
• Zak, Paul J. – Jan-Feb 2017- The Neuroscience of Trust
• Barbara Kellerman - 2007 - What every leader needs to know about followers
• Ronald J. Burke - 2006 - Why leaders fail: exploring the darkside
• D. Goleman - 2000 - Leadership That Gets Results
• Williams G. - 2002 - Change the way you persuade
• Stengel R. - 2008 - Mandela His 8 Lessons of Leadership
• Kotter P. (2007) - Leading Change Why Transformation Efforts Fail
• Herzberg,(2003), One more time, how do you motivate employees?
• McNulty E. (2002) - Welcome Aboard (But don't change a thing)
Teaching methods
Lectures, case studies analysis and workshops
Exam schedules
This course is based on assignments and there is no exam.
Pedagogic approaches and sustainable development
The student studies most of the concepts at home (individual assignments and team assignment). Important parts of the contact sessions are used to work on case studies and concrete leadership situations.
Use of AI: AI tools, such as language models, may be used as an help to perform tasks, for example to retrieve information and generate initial guidelines for solutions. Make sure you always explain in your list of references which AI tolls you used (Chat GPT, DeepL, Copilot, etc.), for what and how. Not complying with this will automatically lead to a fail for the assignment/task in question.
In line with the principles of responsible use of AI, we require the following:
Own outputs and understanding: each student is responsible for all the content he/she writes. Students must ensure that they understand and can explain the content and context of their output.
Role of AI: The use of AI is allowed for data mining and generating initial ideas, but the solutions and analyses themselves must be developed and refined using the student's own ideas and insights. The content provided by AI should not be the student's decisive input, but rather a tool.
Processing and reasoning: students must be able to justify and give reasons for the processing of case studies and the conclusions and solutions proposed. This includes an explanation of how the information provided by the AI tools was used and what own thought processes were used to reach the final results.
In reflecting on individual assignments, teachers may ask follow-up questions, written or oral, to assess students' understanding and ability to justify their own work.
Honesty and use of sources: all sources and AI outputs used must be properly referenced. Plagiarism and unethical use of AI tools are not permitted. Students must also follow the institution's ethical guidelines and rules regarding the use of AI and academic integrity.
Completion alternatives
To be agreed with the teacher prior to the course start
Student workload
Contact lessons: 30h
Studying reading materials ~ 30/50h
Working on assignments and peer reviews ~ 40-60h
Evaluation methods and criteria
All the components (individual assignments, peer reviews…) of this course will be graded as follow:
Fail (0pts)
Pass / Good (1pts)
Really good / Excellent (2pts)
• 3 individual assignments: 6 points maximum
• 3 peers reviews: 6 points maximum
• 1 team assignment: 4 points maximum
The points translate as follow for the final grade:
• 16-14 points = grade 5
• 13-12 points = grade 4
• 11-10 points = grade 3
• 9-8 points = grade 2
• 7 points = grade 1
• 6 points and below = fail
OBS: The two first individual assignments and the team assignment are compulsory to do to be able to pass the course. Missing a peer review is not disqualifying, it only affects negatively the final grade.
Failed (0)
The student has demonstrated very limited knowledge and understanding of the main areas of the course. The student shows difficulties in applying his/her knowledge and understanding of the course content. The student demonstrates very little ability to gather and interpret relevant data to inform judgments that include reflection about what is asked for the assignments. The student has difficulties in communicating his/her ideas to others. Several parts of the text are unclear. The student has missed too many classes (minimum 70% attendance required).
Assessment criteria, satisfactory (1-2)
The student has demonstrated limited knowledge and understanding of the main areas of the course. The student shows some difficulties in applying his/her knowledge and understanding of the course content. The student demonstrates little ability to gather and interpret relevant data to inform judgments that include reflection about what is asked for the assignments. The student has difficulties in communicating his/her ideas to others. Some parts of the text are unclear.
Assessment criteria, good (3-4)
The student has demonstrated good knowledge and understanding of the main areas of the course. The student shows s/he can apply his/her knowledge and understanding of the course content. The student demonstrates good ability to gather and interpret relevant data to inform judgments that include reflection about what is asked for the assignments. The student is able to communicate his/her ideas to others. Important parts of the text are clear and well written.
Assessment criteria, excellent (5)
The student has demonstrated very good knowledge and understanding of the main areas of the course. The student shows s/he can apply his/her knowledge and understanding of the course content. The student demonstrates very good ability to gather and interpret relevant data to inform judgments that include reflection about what is asked for the assignments. The student is able to communicate clearly his/her ideas to others in a professional way. Most of the text is clear and well written.
Further information
70% attendance required to be able to pass the course we will do case studies and workshops in class. Priority will be given to Business Operation Management students and exchange students.
Make sure to always inform and explain in your list of references any use (Gramarly, ChatGpt, Copilot, etc...) of AI systems. Tell where and how (e.g. by giving the prompts you used, translating) AI has been used in your work.
Use AI responsibly. You are always responsible for the outputs of the work/assignments you submit. Not mentioning the use of AI will automatically lead to a fail for the assignment in question.