Key Competencies in Computer Science

Course Content

The lecture will cover the following topics:

• Command-line & Scripting
  • Shell, SSH, SFTP
  • grep, sed, regular expressions,
  • Shell scripting
• Python Programming
  • Python basics
  • Unit Testing
  • Logging
  • Parallelization
  • Database interaction
• Web Technologies
  • Python Django
  • HTML
  • JavaScript
• Infrastructure & Support Tools
  • Version control using git
  • Automated unit testing using Travis
  • LaTeX + OverLeaf
  • Reference management tools

In the exercise, students will complete hands-on research projects (teamwork is possible) to apply the knowledge conveyed in the lectures and train essential skills. Presenting the intermediate and final results of the projects is mandatory.

Learning Objectives

After successfully completing the course, students should be able to:

• Analyze a given problem from a computing perspective;
• Research programmatical methods to solve the problem;
• Implement a solution for the problem using suitable tools;
• Structure, write, and format a documentation for the software developed;
• Present their work using appropriate presentation techniques and presentation aids;
• Answer questions and discuss their work with peers.

By successfully completing the course, participants will acquire the knowledge and skills required to successfully complete various forms of projects in computer science.

Requirements

• None

Exam

• Applied research project (includes teaser, intermediate, and final presentation) – 67% of the final grade
• Written test (90 min.) or oral exam (approx. 20 min.) on the lecture content – 33% of the final grade

Schedule