Trends in Data Science (Elective)
Niveau
master’s degree program
Learning outcomes of the courses/module
The participants:
• can identify and describe current thematic trends in data science
• can identify and discuss current technological developments in data science
• can discuss current practical issues in the field of data science
• can identify and describe current thematic trends in data science
• can identify and discuss current technological developments in data science
• can discuss current practical issues in the field of data science
Prerequisites for the course
No prerequisites
Course content
The content of this course is not fixed; rather, it is adapted to current prevailing trends. Representative topics may include:
- New technologies in the field of big data processing
- Trends in programming languages for data analysis
- New concepts for data processing (e.g., data lakes)
- New research questions in the field of data science
- New practical issues in the field of data science
- New technologies in the field of big data processing
- Trends in programming languages for data analysis
- New concepts for data processing (e.g., data lakes)
- New research questions in the field of data science
- New practical issues in the field of data science
Recommended specialist literature
Aufgrund der Veränderlichkeit der Inhalte werden hier nur beispielhaft einige Web-Quellen angeführt, die derzeit im Bereich Data Science Trends stark vertreten sind:
- Medium (2020): Towards Data Science (Ed. 1), Online, https://towardsdatascience.com/.
- KDNuggets (2020): Knowledge Discovery Nuggets (Ed. 1), Online, https://www.kdnuggets.com/.
- Medium (2020): Towards Data Science (Ed. 1), Online, https://towardsdatascience.com/.
- KDNuggets (2020): Knowledge Discovery Nuggets (Ed. 1), Online, https://www.kdnuggets.com/.
Assessment methods and criteria
Seminar thesis
Language
English
Number of ECTS credits awarded
3
Semester hours per week
Planned teaching and learning method
The following methods are employed:
- Lecture with discussion
- Interactive workshop
- Lecture with discussion
- Interactive workshop
Semester/trimester in which the course/module is offered
4