Programming

Computer Science and ICT, Data, AI

About this course

Programming

Expected learning outcomes

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

• Apply computational thinking to solve programming problems.

• Design and implement simple imperative and object-oriented programs from scratch on the basis of an informal specification.

• Use basic aggregation, searching, and sorting algorithms in the design of simple programs.

• Evaluate written code functionality by means of implementing unit tests.

• Clean, explore, and analyze datasets to solve data science-related problems.

• Apply the basic principles and techniques of code quality to implement programs.

• Develop Python programs using off-the-shelf technologies (e.g. Jupyter Notebook, PyCharm, Git, GitLab).