Data Science and Artificial Intelligence

Project work

Project thesis, 7.50 ECTS


Course content

Part 1: Implementation of data science projects
- Dealing with given requirements
- Development of different solution strategies
- Planning, implementation, control and controlling the project resp. project progress
- Teamwork including any conflict resolution
Part 2: Project documentation and dissemination of project results
- Creation of project documentation based on norms, standards and specifications
- Presentation and discussion of project and results

Learning outcomes

Students are able to carry out data science projects independently or as a team, to deal with given requirements, to develop solution strategies and to plan, manage and control the project or project progress. Students are also able to create professional project documentation and disseminate the project results accordingly.

Recommended or required reading and other learning resources / tools

Recommended literature or books:
- American Psychological Association (2009). Publication Manual of the American Psychological Association. American Psychological Association, revised edition.
- Dall, M. (2009). Sicher präsentieren - wirksamer vortragen. Redline, Hardback edition.
- Krogerus, M., Tschäppeler, R. (2017). 50 Erfolgsmodelle - Kleines Handbuch für strategische Entscheidungen - Neuausgabe. Kein & Aber, 3rd edition.
- Preußig, J. (Agiles Projektmanagement: Scrum, Use Cases, Task Boards & Co. (Haufe TaschenGuide). Haufe, 2nd edition.
- Rosenstock, J. (2016). Microsoft Project 2016: Das umfassende Handbuch. Inkl. Project Server und Project Online. Rheinwerk Computing, 3rd edition.
- Sutherland, J. (2014). Scrum: A revolutionary approach to building teams, beating deadlines and boosting productivity. Cornerstone Digital, 1st edition.
Recommended journals or selected articles:
- Project Management Austria (PMA, 2008): PM Baseline. Version 3.0.
- International Project Management Association (IPMA, 2006): ICB - IPMA-Kompetenzrichtlinie. Version 3.0.

Other relevant journals and articles will be announced in the courses.

Typical software for this module:
Microsoft Project, Asana, LaTeX/TeXworks/TeXnic Center, Microsoft PowerPoint etc.

Other relevant software solutions will be announced in the courses.

Mode of delivery

7,5 ECTS project work

Prerequisites and co-requisites

Module 9 and 10

Assessment methods and criteria

Exercise: examination character