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Human Resource Management (5 cr)

Code: 3041248-3016

General information


Enrollment
02.12.2024 - 07.01.2025
Registration for the implementation has ended.
Timing
07.01.2025 - 23.03.2025
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
0 - 30
Degree programmes
Degree Programme in Business
Teachers
Nicolas Le Grand
Anja Boxberg
Course
3041248

Realization has 8 reservations. Total duration of reservations is 23 h 0 min.

Time Topic Location
Wed 29.01.2025 time 10:00 - 13:00
(3 h 0 min)
Human Resource Management 3041248-3016
LEM_B163 Vellamo muunto
Fri 31.01.2025 time 08:00 - 11:00
(3 h 0 min)
Human Resource Management 3041248-3016
LEM_B163 Vellamo muunto
Fri 07.02.2025 time 08:00 - 11:00
(3 h 0 min)
Human Resource Management 3041248-3016
LEM_B163 Vellamo muunto
Fri 14.02.2025 time 08:00 - 11:00
(3 h 0 min)
Human Resource Management 3041248-3016
LEM_B163 Vellamo muunto
Fri 28.02.2025 time 08:00 - 11:00
(3 h 0 min)
Human Resource Management 3041248-3016
LEM_B163 Vellamo muunto
Fri 07.03.2025 time 08:00 - 11:00
(3 h 0 min)
Human Resource Management 3041248-3016
LEM_B163 Vellamo muunto
Wed 12.03.2025 time 13:00 - 16:00
(3 h 0 min)
Human Resource Management 3041248-3016
LEM_B163 Vellamo muunto
Fri 21.03.2025 time 09:00 - 11:00
(2 h 0 min)
Human Resource Management 3041248-3016
LEM_B163 Vellamo muunto
Changes to reservations may be possible.

Evaluation scale

H-5

Content scheduling

1- Course introduction and key concepts
2. HRM strategy and analysis
3. work analysis and talent management process, deadline for individual assignment 1 and peer review in class
4. Personnel planning, employee testing and interviewing candidates
5. Reviewing questions for the team assignment; performance management and appraisal, reward management
6. Guest lecture (to be confirmed), deadline for individual assignment 2 and peer review in class
7. Strategic Pay plans
8. Course wrap and team presentations

Objective

Having completed the course the student is able to
- understand how HRM can contribute to organizational performance
- recognize the principal functions of HR
- develop an understanding of how the principles and practices human resource management
- help firms to attract, retain, and develop its human capital.

Content

- strategic management and Strategic HR management
- core processes and functions of HRM
- work analysis and job design
- recruitment process
- performance management and appraisal, reward management

Materials

Course book: Dessler, Gary (2017 or 2019). Human Resource Management, 15th/16th edition, Harlow: Pearson Education.
There are several hard copies of the 13th, 15th and 16th editions at the Lemminkäinen library which are also fine to use for this course.
- Additional reading materials in Itslearning

Teaching methods

Flipped Learning: the students study the theoretical background at home (cf. reading to be completed prior to every class)
The contact hours are mainly used to do case studies and workshops.
BYOD for each “lecture” as the course book & internet access are needed to do the case studies.

Exam schedules

This course is based on the completion of assignments and there is no exam.

International connections

Flipped learning, case study method, project base

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

Providing a lecture about HRM - topic(s) to be defined with the responsible teacher - to the class.

Student workload

Contact Sessions: 40 hours
Individual and team assignments: ~ 40 hours
Readings: ~40 hours

Further information

Priority will be given to Business Operations Management and exchange students.

Possible traveling costs at the expense of the student might occur for the completion of the team assignment (interview of an HR specialist).

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.

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