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Programming

JBI010
Computer Science and ICT, Data, AI

About this course

Programming

Learning outcomes

At the end of this course, students should be able to:

  1. Apply computational thinking to solve programming problems.
  2. Design and implement simple imperative and object-oriented programs from scratch on the basis of an informal specification.
  3. Use basic aggregation, searching, and sorting algorithms in the design of simple programs.
  4. Evaluate written code functionality by means of implementing unit tests.
  5. Clean, explore, and analyze datasets to solve data science-related problems.
  6. Apply the basic principles and techniques of code quality to implement programs.
  7. Develop Python programs using off-the-shelf technologies (e.g. Jupyter Notebook, PyCharm, Git, GitLab).

Examination

To register for this course, please contact your home institution.

Assessment: Written online

Course requirements

No

Resources

  • Python by Doing (first edition) online book Lecture Notebooks (Jupyter)

Activities

Lectures, Self-study, Exercises, Tutorial sessions, Instructions, Assignments

Additional information

  • Credits
    ECTS 5
  • Contact hours per week
    8
  • Instructors
    Lina Ochoa Venegas, Mark van den Brand
  • Mode of instruction
    Hybrid
If anything remains unclear, please check the FAQ of TU/e (The Netherlands).
There are currently no offerings available for students of TUM (Germany)