| Language of instruction : English |
| Exam contract: not possible |
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Sequentiality
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Advising sequentiality bound on the level of programme components
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Following programme components are advised to also be included in your study programme up till now.
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Programming and algorithmic thinking (3725)
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6.0 stptn |
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| Degree programme | | Study hours | Credits | P1 SBU | P1 SP | 2nd Chance Exam1 | Tolerance2 | Final grade3 | |
 | 1st Master of Business and Information Systems Engineering | Compulsory | 162 | 6,0 | 162 | 6,0 | Yes | Yes | Numerical |  |
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| | | Learning outcomes |
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| The holder of the degree models, designs and evaluates solutions for business and IT problems to support decision-making at different levels in a complex context. (Problem-solving capacity) | - EC
| The holder of the degree uses data science and IT to design decision support systems that provide useful insights with which the quality of decisions can be improved. (Programme-specific competencies) |
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| | EC = learning outcomes DC = partial outcomes BC = evaluation criteria |
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During this course the student will learn how to transform raw data in reports and busines insights. A Business intelligence apllication will be designed and developped.
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Lecture ✔
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Small group session ✔
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Exercises ✔
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Group work ✔
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Period 1 Credits 6,00
| Evaluation method | |
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| Practical evaluation during teaching period | 50 % |
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| Transfer of partial marks within the academic year | ✔ |
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| Conditions transfer of partial marks within the academic year | pass |
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Second examination period
| Evaluation second examination opportunity different from first examination opprt | |
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| 1st Master Business Engineering - Marketing Intelligence | Compulsory | 162 | 6,0 | 162 | 6,0 | Yes | Yes | Numerical | |
| 2nd Master of Business Engineering option IS | Compulsory | 162 | 6,0 | 162 | 6,0 | Yes | Yes | Numerical | |
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| | | Learning outcomes |
- EC
| The holder of the degree models, designs and evaluates solutions for financial and technical business problems to support decision-making at different levels in a complex context. (Problem-solving capacity) | - EC
| The holder of the degree uses IT applications and basic programming skills to translate financial and technical business data into business-relevant information. (Programme-specific competencies) |
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| | EC = learning outcomes DC = partial outcomes BC = evaluation criteria |
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During this course the student will learn how to transform raw data in reports and busines insights. A Business intelligence apllication will be designed and developped.
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Lecture ✔
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Small group session ✔
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Exercises ✔
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Group work ✔
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Period 1 Credits 6,00
| Evaluation method | |
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| Practical evaluation during teaching period | 50 % |
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| Transfer of partial marks within the academic year | ✔ |
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| Conditions transfer of partial marks within the academic year | pass |
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Second examination period
| Evaluation second examination opportunity different from first examination opprt | |
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| Exchange Programme Business Economics | Optional | 162 | 6,0 | 162 | 6,0 | Yes | Yes | Numerical | |
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During this course the student will learnhow to transform raw data in reports and busines insights. A Business intelligence apllication will be designed and developped.
|
|
|
|
|
|
|
|
|
Lecture ✔
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|
|
|
Small group session ✔
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|
|
|
|
|
|
Exercises ✔
|
|
|
|
Group work ✔
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|
|
|
Period 1 Credits 6,00
| Evaluation method | |
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| Practical evaluation during teaching period | 50 % |
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| Transfer of partial marks within the academic year | ✔ |
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| Conditions transfer of partial marks within the academic year | pass |
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Second examination period
| Evaluation second examination opportunity different from first examination opprt | |
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1 Education, Examination and Legal Position Regulations art.12.2, section 2. |
| 2 Education, Examination and Legal Position Regulations art.16.9, section 2. |
3 Education, Examination and Legal Position Regulations art.15.1, section 3.
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| Legend |
| SBU : course load | SP : ECTS | N : Dutch | E : English |
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