| Language of instruction : English |
| Exam contract: not possible |
| Degree programme | | Study hours | Credits | P1 SBU | P1 SP | 2nd Chance Exam1 | Tolerance2 | Final grade3 | |
 | Master of Business Administration - Supply Chain Management | Compulsory | 162 | 6,0 | 162 | 6,0 | Yes | Yes | Numerical |  |
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| | | Learning outcomes |
- EC
| The holder of the degree applies acquired knowledge independently. (Self-direction and entrepreneurial spirit)
| - EC
| The holder of the degree communicates clearly and correctly in writing and orally, in a business and academic context, if necessary supplemented with visual support. (Communication)
| - EC
| The holder of the degree shows autonomy in implementing scientific research methods. (Research skills)
| - EC
| The holder of the degree shows autonomy in analysing, interpreting, evaluating and reporting research results. (Research skills)
| - EC
| The holder of the degree is able to answer complex management questions from a practice-oriented perspective with respect to the functional areas of management. (Problem-solving capacity)
| - EC
| The holder of the degree relates advanced insights derived from concepts, principles and argumentation methods in the chosen specialisation to the general business framework and provides scientifically substantiated advice on the basis of such knowledge and insights. (Problem-solving capacity)
| - EC
| On the basis of advanced insights and skills with regard to the chosen specialisation, the holder of the degree formulates and defends substantiated advice on strategic policy decisions with a view to translating them to the tactical level. (Programme-specific competencies)
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| | EC = learning outcomes DC = partial outcomes BC = evaluation criteria |
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Concepts and definitions
Optimal capacity investment
Operational hedging
Price differentiation and overbooking
SC coordination through contracts
Mass customization
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Lecture ✔
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Project ✔
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Response lecture ✔
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Case study ✔
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Exercises ✔
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Group work ✔
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Homework ✔
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Report ✔
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Period 1 Credits 6,00
| Evaluation method | |
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| Written evaluaton during teaching periode | 15 % |
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| Use of study material during evaluation | ✔ |
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| Explanation (English) | A formula sheet will be attached to the exam, and posted on Blackboard for study purposes. |
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| Evaluation conditions (participation and/or pass) | ✔ |
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| Conditions | Participation in BOTH the team assignment (project/take-home format) AND the exam is required to receive a score for the course. |
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| Consequences | If a student does not participate in EITHER the team assignment OR the exam, he/she does not receive a score for the course. |
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| Additional information | Students need to make a team assignment during the semester. The score on the team assignment counts for 15% of the final score of the course. The remaining 85% is obtained on the individual written exam. Individual assignments are not allowed; there is no retake for the team assignment. |
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Second examination period
| Evaluation second examination opportunity different from first examination opprt | |
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| Explanation (English) | There is no retake for the team assignment. The score for the team assignment is transferred, but the weight is reduced from 15% to 7,5%. The remaining 92,5% of the final score is obtained on the individual written exam. |
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| Prerequisites |
| |
Students need to be familiar with excel, in particular the use of formulas and cell references.
Students need to be familiar with basic concepts of statistics, such as the concept of a probability distribution, mean, variance, cumulative distribution.
Students need to be able to calculate first derivatives of polynomial functions. |
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| Compulsory course material |
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All course material (slide, cases, exercises, articles) will be distributed through Blackboard |
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| Master of Business Administration - Accountancy, Finance and Tax law - track accountancy | Optional | 162 | 6,0 | 162 | 6,0 | Yes | Yes | Numerical | |
| Master of Business Administration - Accountancy, Finance and Tax law - track finance | Optional | 162 | 6,0 | 162 | 6,0 | Yes | Yes | Numerical | |
| Master of Business Administration - Entrepreneurship and Management - track private | Optional | 162 | 6,0 | 162 | 6,0 | Yes | Yes | Numerical | |
| Master of Business Administration - Entrepreneurship and Management - track public sector | Optional | 162 | 6,0 | 162 | 6,0 | Yes | Yes | Numerical | |
| Master of Business Administration - Marketing Management | Optional | 162 | 6,0 | 162 | 6,0 | Yes | Yes | Numerical | |
|
| | | Learning outcomes |
- EC
| The holder of the degree applies acquired knowledge independently. (Self-direction and entrepreneurial spirit)
| - EC
| The holder of the degree communicates clearly and correctly in writing and orally, in a business and academic context, if necessary supplemented with visual support. (Communication)
| - EC
| The holder of the degree shows autonomy in implementing scientific research methods. (Research skills)
| - EC
| The holder of the degree shows autonomy in analysing, interpreting, evaluating and reporting research results. (Research skills)
| - EC
| The holder of the degree is able to answer complex management questions from a practice-oriented perspective with respect to the functional areas of management. (Problem-solving capacity)
| - EC
| The holder of the degree relates advanced insights derived from concepts, principles and argumentation methods in the chosen specialisation to the general business framework and provides scientifically substantiated advice on the basis of such knowledge and insights. (Problem-solving capacity)
| - EC
| On the basis of advanced insights and skills with regard to the chosen specialisation, the holder of the degree formulates and defends substantiated advice on strategic policy decisions with a view to translating them to the tactical level. (Programme-specific competencies)
|
|
| | EC = learning outcomes DC = partial outcomes BC = evaluation criteria |
|
|
Concepts and definitions
Optimal capacity investment
Operational hedging
Price differentiation and overbooking
SC coordination through contracts
Mass customization
|
|
|
|
|
|
|
|
|
Lecture ✔
|
|
|
|
Project ✔
|
|
|
|
Response lecture ✔
|
|
|
|
|
|
|
|
Case study ✔
|
|
|
|
Exercises ✔
|
|
|
|
Group work ✔
|
|
|
|
Homework ✔
|
|
|
|
Report ✔
|
|
|
|
Period 1 Credits 6,00
| Evaluation method | |
|
| Written evaluaton during teaching periode | 15 % |
|
|
|
|
|
|
| Use of study material during evaluation | ✔ |
|
| Explanation (English) | A formula sheet will be attached to the exam, and posted on Blackboard for study purposes. |
|
|
|
| Evaluation conditions (participation and/or pass) | ✔ |
|
| Conditions | Participation in BOTH the team assignment (project/take-home format) AND the exam is required to receive a score for the course. |
|
|
|
| Consequences | If a student does not participate in EITHER the team assignment OR the exam, he/she does not receive a score for the course. |
|
|
|
| Additional information | Students need to make a team assignment during the semester. The score on the team assignment counts for 15% of the final score of the course. The remaining 85% is obtained on the individual written exam. Individual assignments are not allowed; there is no retake for the team assignment. |
|
Second examination period
| Evaluation second examination opportunity different from first examination opprt | |
|
| Explanation (English) | There is no retake for the team assignment. The score for the team assignment is transferred, but the weight is reduced from 15% to 7,5%. The remaining 92,5% of the final score is obtained on the individual written exam. |
|
|
|
|
|
| Prerequisites |
| |
Students need to be familiar with excel, in particular the use of formulas and cell references.
Students need to be familiar with basic concepts of statistics, such as the concept of a probability distribution, mean, variance, cumulative distribution.
Students need to be able to calculate first derivatives of polynomial functions. |
|
|
| Compulsory course material |
| |
All course material (slide, cases, exercises, articles) will be distributed through Blackboard |
|
|
|
|
|
| Exchange Programme Business Economics | Optional | 162 | 6,0 | 162 | 6,0 | Yes | Yes | Numerical | |
|
| |
|
|
Concepts and definitions
Optimal capacity investment
Operational hedging
Price differentiation and overbooking
SC coordination through contracts
Mass customization
|
|
|
|
|
|
|
|
|
Lecture ✔
|
|
|
|
Project ✔
|
|
|
|
|
|
|
|
Case study ✔
|
|
|
|
Exercises ✔
|
|
|
|
Group work ✔
|
|
|
|
Homework ✔
|
|
|
|
Report ✔
|
|
|
|
Period 1 Credits 6,00
| Evaluation method | |
|
| Written evaluaton during teaching periode | 15 % |
|
|
|
|
|
|
| Use of study material during evaluation | ✔ |
|
| Explanation (English) | A formula sheet will be attached to the exam, and posted on Blackboard for study purposes. |
|
|
|
| Evaluation conditions (participation and/or pass) | ✔ |
|
| Conditions | Participation in BOTH the team assignment (project/take-home format) AND the exam is required to receive a score for the course. |
|
|
|
| Consequences | If a student does not participate in EITHER the team assignment OR the exam, he/she does not receive a score for the course. |
|
|
|
| Additional information | Students need to make a team assignment during the semester. The score on the team assignment counts for 15% of the final score of the course. The remaining 85% is obtained on the individual written exam. Individual assignments are not allowed; there is no retake for the team assignment. |
|
Second examination period
| Evaluation second examination opportunity different from first examination opprt | |
|
| Explanation (English) | There is no retake for the team assignment. The score for the team assignment is transferred, but the weight is reduced from 15% to 7,5%. The remaining 92,5% of the final score is obtained on the individual written exam. |
|
|
|
|
|
| Prerequisites |
| |
Students need to be familiar with excel, in particular the use of formulas and cell references.
Students need to be familiar with basic concepts of statistics, such as the concept of a probability distribution, mean, variance, cumulative distribution.
Students need to be able to calculate first derivatives of polynomial functions. |
|
|
| Compulsory course material |
| |
All course material (slide, cases, exercises, articles) will be distributed through Blackboard |
|
|
|
|
|
1 examination regulations art.1.3, section 4. |
| 2 examination regulations art.4.7, section 2. |
3 examination regulations art.2.2, section 3.
|
| Legend |
| SBU : course load | SP : ECTS | N : Dutch | E : English |
|