• Ries Bernard

• Fischer Andreas

This 5 ECTS Lab, which will be held in weekly 4 hour sessions, ensures that students have a basic level of programming skills when starting their Master studies. It comprises three themes: (i) Data structures and representation, (ii) Algorithms and complexity, and (iii) Data analysis. Each session revolves around a particular problem, and students should have prepared themselves by studying the provided reading material.

The lab reviews necessary knowledge in areas where participants may have been lacking in their previous studies, so that all students who enrol in Master studies will have a consistent programming knowledge. Participants will receive hands-on, practical experience with subjects for which they may only have theoretical background, and will apply their learnings to various domains. In particular students learn:

• how to program in Java
• what are the basic data structures like arrays, stacks, hash tables, trees, graphs
• when and how to use a data structure
• what are the basic strategies to designing algorithms e.g., divide and conquer, greedy, dynamic programming, and what are their complexities
• how to apply an algorithm to various problems such as sorting, searching
• how to persist data in a database
• how to retrieve and change persisted data
• how to use basic machine learning tools for data classification and regression

Registration to the cours AND exams is mandatory and does not automatically happen if you are registered to a class. Please observe the deadlines of the faculty of science and medicine.