Programming

Programming

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).

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

Assessment: Written online

No

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

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