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.
- 06.02 Introduction to Pervasive Data Science (Slides)
- 13.02 Lecture "How to conduct a feasibility study?" (Slides)
- 27.02 Lecture "Revisiting project in the course"
- 06.03 Lecture "Statistical analysis over data"
- 13.03 Lecture "PhD student presentation - Toward city-scale deployment of autonomous drones"
- 20.03 Lecture "Test design experiences"
- 27.03 Lecture "Student presentation per project"
- 03.04 Lecture "PhD student presentation - Quality estimation of fresh-produce using human touch"
- 10.04 Lecture "How to make build a taxonomy" - Invited lecturer: Mehrdad Asadi
- 17.04 Student checking point
- 24.04 Lecture "PhD student presentation - Toward human-friendly deployment of autonomous drones"
- 08.05 Defining project deliverables
- 15.05 Student checking point
- 21.05 Agreement of final deliverables
Course is graded Pass or Fail based on deliverable quality (if not possible attending in-person meetings, please contact the lecturer at Room 3045, Delta)