Programming in Python (9772) |
| Credits: 3,0 | | Study load hours: 81 | Period: semester 1 (3sp)  |
| Language of instruction: English | | Exam contract: not possible |
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A program is an algorithm that can be directly executed by a computer. Learning to program therefore encompasses two complementary skills: (1) constructing algorithms; (2) coding an algorithm as a program. This course focuses on both
aspects. We will use the programming language Python. In particular, this course has the following goals:
- The student can write simple imperative programs in Python. In particular, he/she can utilize primitive types, strings, lists, iteration, conditions, procedures and functions.
- The student understands the importance of precise syntax and semantics.
- The student is able to reason about programs and can debug programs.
- The student is familiar with the notion of an algorithm, can devise algorithms (for simple problems), and can reason over algorithms.
- The student is familiar with the principles of computational thinking and can apply these.
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| Compulsory textbooks (bookshop) |
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Intro to Python for computer science and data science Paul Deitel and Harvey Deitel first edition Pearson
9780135404676 |
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| Mandatory software |
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Lecture ✔
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Practical ✔
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Self-study assignment ✔
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Semester 1 (3,00sp) Second examination period
| Evaluation second examination opportunity different from first examination opprt | |
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Learning outcomes | EC = learning outcomes DC = partial outcomes BC = evaluation criteria |
Master of Statistics and Data Science
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- EC
| The student is able to efficiently acquire, store and process data. | | | - DC
| ...maintain provenance of data, analyses and results | - EC
| The student is capable of acquiring new knowledge. |
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| Included in these programmes | Tolerance3 |
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Y
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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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