Course Description |
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Course Name |
: |
Manpower Planning |
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Course Code |
: |
EM-532 |
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Course Type |
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Optional |
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Level of Course |
: |
Second Cycle |
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Year of Study |
: |
1 |
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Course Semester |
: |
Spring (16 Weeks) |
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ECTS |
: |
6 |
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Name of Lecturer(s) |
: |
Asst.Prof.Dr. MEVHİBE OYA ÇETİK |
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Learning Outcomes of the Course |
: |
Learns to forecast manpower demand Learns how to select the right employee for the right job Manages to evaluate the recruitment processes
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Mode of Delivery |
: |
Face-to-Face |
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Prerequisites and Co-Prerequisites |
: |
None |
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Recommended Optional Programme Components |
: |
None |
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Aim(s) of Course |
: |
Applications of the techniques used in the determination of manpower supply and demand will be examined. |
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Course Contents |
: |
Manpower planning is a basic requirement in the appointment of human resources at the right time, in the right place and the most suitable positions. In this course, it is aimed to teach students the estimated demand for manpower, determining the manpower supply and the differences between supply and demand, and the harmonization issues through using statistical models. |
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Language of Instruction |
: |
Turkish |
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Work Place |
: |
Classroom |
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Course Outline /Schedule (Weekly) Planned Learning Activities |
| Week | Subject | Student's Preliminary Work | Learning Activities and Teaching Methods |
|
1 |
To determine manpower supply |
Reading relevant references |
Lecture |
|
2 |
To determine manpower supply |
Reading relevant references |
Lecture |
|
3 |
To determine manpower supply |
Reading relevant references |
Presentation |
|
4 |
To determine manpower demand |
Reading relevant references |
Lecture |
|
5 |
To determine manpower demand |
Reading relevant references |
Lecture |
|
6 |
To determine manpower demand |
Research |
Lecture |
|
7 |
To determine manpower demand |
Research |
Lecture |
|
8 |
To determine manpower demand |
Research |
Presentation |
|
9 |
To research of applications |
Research |
Presentation |
|
10 |
To research of applications |
Research |
Presentation |
|
11 |
Midterm |
Exam preparation |
Exam |
|
12 |
Application |
Presentation preparation |
Presentation |
|
13 |
Application |
Presentation preparation |
Presentation |
|
14 |
Application |
Presentation preparation |
Presentation |
|
15 |
Application |
Presentation preparation |
Presentation |
|
16/17 |
Exam |
Exam preparation |
Written Exam |
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| Contribution of the Course to Key Learning Outcomes |
| # | Key Learning Outcome | Contribution* |
|
1 |
Understand, interpret and apply knowledge in his/her field domain both in-depth and in-breadth by doing scientific research in industrial engineering. |
4 |
|
2 |
Acquire comprehensive knowledge about methods and tools of industrial engineering and their limitations. |
4 |
|
3 |
Work in multi-disciplinary teams and take a leading role and responsibility. |
3 |
|
4 |
Identify, gather and use necessary information and data. |
5 |
|
5 |
Complete and apply the knowledge by using scarce and limited resources in a scientific way and integrate the knowledge into various disciplines. |
4 |
|
6 |
Keep up with the recent changes and applications in the field of Industrial Engineering and analyze these innovations when necessary. |
4 |
|
7 |
Work in multi-disciplinary teams, take a leading role and responsibility and develop solutions for complex problems. |
4 |
|
8 |
Analyze Industrial Engineering problems, develop innovative methods to solve the problems. |
4 |
|
9 |
Have the ability to propose new and/or original ideas and methods in developing innovative solutions for designing systems, components or processes. |
5 |
|
10 |
Design and perform analytical modeling and experimental research and analyze/solve complex matters emerged in this process. |
3 |
|
11 |
Follow, study and learn new and developing applications of industrial engineering. |
5 |
|
12 |
Use a foreign language in verbal and written communication at least B2 level of European Language Portfolio. |
5 |
|
13 |
Present his/her research findings systematically and clearly in oral and written forms in national and international platforms. |
5 |
|
14 |
Understand social and environmental implications of engineering practice. |
5 |
|
15 |
Consider social, scientific and ethical values in the process of data collection, interpretation and announcement of the findings. |
4 |
| * Contribution levels are between 0 (not) and 5 (maximum). |
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