Readings:
Lectures
Lectures are in person (every Monday) - Lectures will be also available online (Zoom link) (Passcode: pds2021)
Lectures will take place following the (tentative) schedule below.
- 05.09 Introduction to Pervasive Data Science (Slides)
- 12.09 Lecture "How to conduct a feasibility study?" (Slides)
- 19.09 Lecture "Revisiting project in the course"
- 26.09 Lecture "Statistical analysis over data"
- 03.09 Lecture "PhD student presentation - Toward city-scale deployment of autonomous drones"
- 10.10 Lecture "Test design experiences"
- 17.10 Lecture "Student presentation per project"
- 24.10 Lecture "PhD student presentation - Quality estimation of fresh-produce using human touch"
- 06.11 Lecture "How to make build a taxonomy" - Invited lecturer: Mehrdad Asadi
- 13.11 Student checking point
- 18.11 Lecture "PhD student presentation - Toward human-friendly deployment of autonomous drones"
- 25.11 Defining project deliverables
- 04.12 Student checking point
- 11.12 Agreement of final deliverables
Course is graded Pass or Fail based on deliverable quality.