Advanced Python programming (5 ECTS)

Learning outcomes

Students are able to develop own Python programs using suitable structures and concepts. Students will learn most common Python libraries for manipulating and visualizing large data sets.

Content

• Recap of basic structures
• Object oriented programming
• Using files
• Data communication
• Most common mathematical libraries and their usage
• Basic methods for Machine Learning
• Most common graphical libraries and their usage

Prerequisites

Introduction to Programming (Python)

Evaluation scale

0-5

Assessment criteria, satisfactory (1)

Students have achieved the course objectives satisfactorily. Students will be able to identify, define and use the course subject area’s concepts and models.

Assessment criteria, good (3)

Students have achieved the course objectives well, even though the knowledge and skills need improvement on some areas. Students are able to define the course concepts and models and are able to justify the analysis. Students are able to apply their knowledge in leisure, study and work situations.

Assessment criteria, excellent (5)

Students have achieved the objectives of the course with excellent marks. Students master commendably the course subject area’s concepts and models. Students are well prepared to apply their knowledge in leisure, study and work situations.

Assessment criteria, approved/failed

Students have achieved the course objectives satisfactorily. Students will be able to identify, define and use the course subject area’s concepts and models.