Knowledge discovery (1726) |
| Language of instruction : English |
| Credits: 6,0 | | | | | Period: semester 1 (6sp) | | | | | 2nd Chance Exam1: Yes | | | | | Final grade2: Numerical |
| | | 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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Advising sequentiality bound on the level of programme components
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The student has adequate understanding (written and oral) of the English language. The student masters the program language Python. The student can apply basic statistical tests and master mathematical concepts like equations, formulas.
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The following data mining/machine learning methods will be covered - classification and estimation - network analysis - clustering - association analysis Applications
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Lecture ✔
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Small group session ✔
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Paper ✔
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Presentation ✔
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Period 1 Credits 6,00
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| Written evaluaton during teaching periode | 25 % |
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| Transfer of partial marks within the academic year | ✔ |
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Second examination period
| Evaluation second examination opportunity different from first examination opprt | |
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| Explanation (English) | The score of the paper (25%) is transferred. There is only a retake of
the written closed-book exam (75%) |
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| Compulsory textbooks (bookshop) |
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| Recommended reading |
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Data Mining: Practical Machine Learning Tools and Techniques,Ian H. Witten; Eibe Frank; Mark A. Hall,3,Morgan Kaufmann,9780128042915,Beschikbaar als e-book: https://www-sciencedirect-com.bib-proxy.uhasselt.be/book/9780123748560/d ata-mining-practical-machine-learning-tools-and-techniques |
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Learning outcomes Master of Business and Information Systems Engineering
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- EC
| EC 01: The holder of the degree applies acquired knowledge independently. (Self-direction and entrepreneurial spirit) | - EC
| EC 08: The holder of the degree shows autonomy in implementing scientific research methods. (Research skills) | - EC
| EC 14: 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
| EC 16: 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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Master of Business Engineering
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- EC
| EC 01: The holder of the degree applies acquired knowledge independently. (Self-direction and entrepreneurial spirit) | - EC
| EC 08: The holder of the degree shows autonomy in implementing scientific research methods. (Research skills) | - EC
| EC 14: 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
| EC 16: 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 |
| Offered in | Tolerance3 |
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1st Master of Business and Information Systems Engineering
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J
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Exchange Programme Business Economics
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Master handelsingenieur in de beleidsinformatica jaar 1 verplicht
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Master handelsingenieur jaar 1 kern verplicht
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1 Education, Examination and Legal Position Regulations art.12.2, section 2. |
| 2 Education, Examination and Legal Position Regulations art.15.1, section 3. |
3 Education, Examination and Legal Position Regulations art.16.9, section 2.
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