| Language of instruction : English |
| Exam contract: not possible |
|
Sequentiality
|
| |
|
Mandatory sequentiality bound on the level of programme components
|
| |
| |
| |
Following programme components must have been included in your study programme in a previous education period
|
| |
|
Programming in Python (3306)
|
5.0 stptn |
| |
|
| 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 | |
|
| | | Learning outcomes |
- EC
| The student is capable of acquiring new knowledge. | - EC
| The student is able to efficiently acquire, store and process data. |
|
| | EC = learning outcomes DC = partial outcomes BC = evaluation criteria |
|
|
The students can write simple imperative programs in Python. In particular, they can utilize primitive types, strings, lists, dictionnaries, sets, iteration, conditions, procedures and functions, and they can debug programs.
|
|
|
|
This course introduces advanced Python topics, such as regular expressions, files and exceptions, object oriented programming and recursion, as well as basic algortihms on graphs, pandas and numpy.
|
|
|
|
|
|
|
|
|
Lecture ✔
|
|
|
|
Practical ✔
|
|
|
|
Project ✔
|
|
|
|
Self-study assignment ✔
|
|
|
|
|
|
|
|
Exercises ✔
|
|
|
|
Homework ✔
|
|
|
|
Period 2 Credits 5,00
| Evaluation method | |
|
| Written evaluaton during teaching periode | 60 % |
|
| Transfer of partial marks within the academic year | ✔ |
|
|
|
|
|
|
|
| Written exam | 40 % |
|
| Transfer of partial marks within the academic year | ✔ |
|
|
|
|
|
|
| Evaluation conditions (participation and/or pass) | ✔ |
|
| 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. |
|
|
|
| Consequences | The student will receive a score of maximum 9/20. |
|
|
|
Second examination period
| Evaluation second examination opportunity different from first examination opprt | |
|
|
|
| Compulsory textbooks (bookshop) |
| |
Intro to Python for computer science and data science,Paul Deitel, Harvey Deitel,First edition,Pearson,9780135404676 |
|
|
|
|
|
| Exchange Programme Computer Science | Optional | 135 | 5,0 | 135 | 5,0 | Yes | Yes | Numerical | |
| Exchange Programme Statistics | Optional | 135 | 5,0 | 135 | 5,0 | Yes | Yes | Numerical | |
|
| |
|
|
The students can write simple imperative programs in Python. In particular, they can utilize primitive types, strings, lists, dictionnaries, sets, iteration, conditions, procedures and functions, and they can debug programs.
|
|
|
|
This course introduces advanced Python topics, such as regular expressions, files and exceptions, object oriented programming and recursion, as well as basic algortihms on graphs, pandas and numpy.
|
|
|
|
|
|
|
|
|
Lecture ✔
|
|
|
|
Practical ✔
|
|
|
|
Project ✔
|
|
|
|
Self-study assignment ✔
|
|
|
|
|
|
|
|
Exercises ✔
|
|
|
|
Homework ✔
|
|
|
|
Period 2 Credits 5,00
| Evaluation method | |
|
| Written evaluaton during teaching periode | 60 % |
|
| Transfer of partial marks within the academic year | ✔ |
|
|
|
|
|
|
|
| Written exam | 40 % |
|
| Transfer of partial marks within the academic year | ✔ |
|
|
|
|
|
|
| Evaluation conditions (participation and/or pass) | ✔ |
|
| 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. |
|
|
|
| Consequences | The student will receive a score of maximum 9/20. |
|
|
|
Second examination period
| Evaluation second examination opportunity different from first examination opprt | |
|
|
|
| Compulsory textbooks (bookshop) |
| |
Intro to Python for computer science and data science,Paul Deitel, Harvey Deitel,First edition,Pearson,9780135404676 |
|
|
|
|
|
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.
|
| Legend |
| SBU : course load | SP : ECTS | N : Dutch | E : English |
|