| Language of instruction : English |
| Exam contract: not possible |
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Sequentiality
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Mandatory sequentiality bound on the level of programme components
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Following programme components must have been included in your study programme up till now.
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Programming in Python (3306)
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5,0 stptn |
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| Degree programme | | Study hours | Credits | P2 SBU | P2 SP | 2nd Chance Exam1 | Tolerance2 | Final grade3 | |
 | 1st year Master Bioinformatics | Compulsory | 135 | 5,0 | 135 | 5,0 | Yes | Yes | Numerical |  |
| 1st year Master Bioinformatics - icp | Compulsory | 135 | 5,0 | 135 | 5,0 | Yes | Yes | Numerical | |
| 1st year Master Data Science | Compulsory | 135 | 5,0 | 135 | 5,0 | Yes | Yes | Numerical | |
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| | | Learning outcomes |
- EC
| The student is able to efficiently acquire, store and process data. |
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| | EC = learning outcomes DC = partial outcomes BC = evaluation criteria |
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This course introduces advanced Python topics such as:
- Regular expressions
- Files and exceptions
- Object-oriented programming
- Recursion
- Sorting
- Graph algorithms
- External libraries like Pandas and Numpy
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Lecture ✔
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Practical ✔
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Project ✔
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Self-study assignment ✔
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Exercises ✔
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Homework ✔
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Period 2 Credits 5,00
| Evaluation method | |
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| Written evaluaton during teaching periode | 60 % |
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| Transfer of partial marks within the academic year | ✔ |
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| Written exam | 40 % |
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| Transfer of partial marks within the academic year | ✔ |
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| Evaluation conditions (participation and/or pass) | ✔ |
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| Conditions | A minimum score of 40% on each of the three components of the evaluation (assignments, project and final exam) is required to pass the course. |
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| Consequences | The student will receive a score of maximum 9/20. |
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Second examination period
| Evaluation second examination opportunity different from first examination opprt | |
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| Prerequisites |
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The course Programming in Python (3306) or Programming in Python DL (3587) is a prerequisite. |
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| Compulsory textbooks (bookshop) |
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Intro to Python for computer science and data science,Paul Deitel, Harvey Deitel,First edition,Pearson,9780135404676 |
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| Exchange Programme Statistics | Optional | 135 | 5,0 | 135 | 5,0 | Yes | Yes | Numerical | |
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This course introduces advanced Python topics such as:
- Dictionnaries and sets
- Regular expressions
- Files and exceptions
- Object-oriented programming
- Recursion
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Lecture ✔
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Practical ✔
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Project ✔
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Self-study assignment ✔
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Exercises ✔
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Homework ✔
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Period 2 Credits 5,00
| Evaluation method | |
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| Written evaluaton during teaching periode | 60 % |
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| Transfer of partial marks within the academic year | ✔ |
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| Written exam | 40 % |
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| Transfer of partial marks within the academic year | ✔ |
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| Evaluation conditions (participation and/or pass) | ✔ |
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| Conditions | A minimum score of 40% on each of the three components of the evaluation (assignments, project and final exam) is required to pass the course. |
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| Consequences | The student will receive a score of maximum 9/20. |
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Second examination period
| Evaluation second examination opportunity different from first examination opprt | |
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| Prerequisites |
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The course Programming in Python (3306) or Programming in Python DL (3587) is a prerequisite. |
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|
| Compulsory textbooks (bookshop) |
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Intro to Python for computer science and data science,Paul Deitel, Harvey Deitel,First edition,Pearson,9780135404676 |
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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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