At the end of this course, you will be able to:
- Understand the role of data science and its societal impact
- Recognise the knowledge discovery processes in applied data science
- Identify trends and developments in big data technologies
- Apply selected big data technologies to solve real-world problems
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This is the introductory course for the Applied Data Science profile. As such, it's primary objective is to inspire and introduce you to the emerging domain of Applied Data Science. The course balances between Big Ideas and their feasibility due to the Big Diversity of its qualifying students. On the one hand it aims to trigger your enthousiasm for applied data science, and to inspire you to aim for societal impact through data science. On the other hand, it needs to provide you with a core set of information science essentials to properly understand big data technologies, while leveraging your diversity as an opportunity to create an inspiring course.
The following assignments are scheduled:
- Explore data science and its societal impact
- Survey the market landscape
- Study selected scientific literature
- Practice with big data tools
The graded deliverables generate the final course grade as follows:
- [A] Book review
- [B] Market research
- [C] Project pitch event
- [D] Written, mostly multiple choice, exam
- [E] Optional bonus for extraordinary participation/performance
Grade = [A]*0.15 + [B]*0.15 + [C]*0.30 + [D]*0.40 + [E]
NB: To qualify for the second chance exam, all grading components need to be at least 4.0.
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