| Language of instruction : English |
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Sequentiality
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No sequentiality
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| 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 integrates the perspective of stakeholders when making decisions in an organizational context. (Stakeholder awareness)
| - EC
| The holder of the degree formulates proposals for operational improvements, taking account of the regional and/or (inter)national policy and business context. (Stakeholder awareness) | - 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 is able to apply in-depth insights from organisational and management sciences and relevant supporting and/or related disciplines in the analysis of such concrete questions of business 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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In this course, students learn to solve a diverse range of planning problems in a supply chain context using appropriate quantitative methods. Topics that are dealt with include network design, transport planning, coordination of production and inventory, and decision analysis.
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Lecture ✔
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Response lecture ✔
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Small group session ✔
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Exercises ✔
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Period 1 Credits 6,00 Second examination period
| Evaluation second examination opportunity different from first examination opprt | |
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| Prerequisites |
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Students can explain the role of logistics, and logistics decisions, in an organization and supply chain.
Student have a basic knowledge of linear programming. They are able to:
-formulate a linear programming model based on a description of a decision-making problem
-solve a linear programming model using LINDO software
-correctly interpret the results of a linear programming model |
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| Compulsory course material |
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All course material will be provided on 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 | |
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| | | Learning outcomes |
- EC
| The holder of the degree integrates the perspective of stakeholders when making decisions in an organizational context. (Stakeholder awareness)
| - EC
| The holder of the degree formulates proposals for operational improvements, taking account of the regional and/or (inter)national policy and business context. (Stakeholder awareness) | - 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 is able to apply in-depth insights from organisational and management sciences and relevant supporting and/or related disciplines in the analysis of such concrete questions of business 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 |
|
|
In this course, students learn to solve a diverse range of planning problems in a supply chain context using appropriate quantitative methods. Topics that are dealt with include network design, transport planning, coordination of production and inventory, and decision analysis.
|
|
|
|
|
|
|
|
|
Lecture ✔
|
|
|
|
Response lecture ✔
|
|
|
|
Small group session ✔
|
|
|
|
|
|
|
|
Exercises ✔
|
|
|
|
Period 1 Credits 6,00 Second examination period
| Evaluation second examination opportunity different from first examination opprt | |
|
|
|
| Prerequisites |
| |
Students can explain the role of logistics, and logistics decisions, in an organization and supply chain.
Student have a basic knowledge of linear programming. They are able to:
-formulate a linear programming model based on a description of a decision-making problem
-solve a linear programming model using LINDO software
-correctly interpret the results of a linear programming model |
|
|
| Compulsory course material |
| |
All course material will be provided on BlackBoard |
|
|
|
|
|
| Exchange Programme Business Economics | Optional | 162 | 6,0 | 162 | 6,0 | Yes | Yes | Numerical | |
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| |
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|
In this course, students learn to solve a diverse range of planning problems in a supply chain context using appropriate quantitative methods. Topics that are dealt with include network design, transport planning, coordination of production and inventory, and decision analysis.
|
|
|
|
|
|
|
|
|
Lecture ✔
|
|
|
|
Response lecture ✔
|
|
|
|
Small group session ✔
|
|
|
|
|
|
|
|
Exercises ✔
|
|
|
|
Period 1 Credits 6,00 Second examination period
| Evaluation second examination opportunity different from first examination opprt | |
|
|
|
| Prerequisites |
| |
Students can explain the role of logistics, and logistics decisions, in an organization and supply chain.
Student have a basic knowledge of linear programming. They are able to:
-formulate a linear programming model based on a description of a decision-making problem
-solve a linear programming model using LINDO software
-correctly interpret the results of a linear programming model |
|
|
| Compulsory course material |
| |
All course material will be provided on BlackBoard |
|
|
|
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1 examination regulations art.1.3, section 4. |
| 2 examination regulations art.4.7, section 2. |
3 examination regulations art.2.2, section 3.
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| Legend |
| SBU : course load | SP : ECTS | N : Dutch | E : English |
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