About this course
Programming
Expected learning outcomes
At the end of this course, students should be able to:
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Apply computational thinking to solve programming problems.
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Design and implement simple imperative and object-oriented programs from scratch on the basis of an informal specification.
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Use basic aggregation, searching, and sorting algorithms in the design of simple programs.
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Evaluate written code functionality by means of implementing unit tests.
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Clean, explore, and analyze datasets to solve data science-related problems.
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Apply the basic principles and techniques of code quality to implement programs.
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Develop Python programs using off-the-shelf technologies (e.g. Jupyter Notebook, PyCharm, Git, GitLab).
Examination
Live for applications 14/05/24 – 29/07/24. To register for this course, please contact your home institution.
Assessment: Written online
Course requirements
No
Activities
Lectures, Self-study, Exercises, Tutorial sessions, Instructions, Assignments
- Local course codeJBI010
- Study loadECTS 5
- Levelbachelor
- Contact hours per week8
- InstructorsLina Ochoa Venegas, Mark van den Brand
- Mode of deliveryHybrid
- Course coordinator