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.
- 07.02 Introduction to Pervasive Data Science (Slides)
- 14.02 Lecture "How to conduct a feasibility study?" (Slides)
- 21.02 Initial Project Understanding (Slides)
- 28.02 Lecture "Analysis of collected data in testbed" (Slides)
- 07.03 Lecture "Check-pointing I (Formal presentation) and PhD student presentation" (Slides) (Slides_PhDprojects-part1)
- 14.03 - Lecture "Check-pointing II (Informal discussion) and PhD student presentation" (Slides) (Slides_PhDprojects-part2)
- 21.03 - Lecture "Check-pointing III (Formal presentation) and PhD student presentation" (Slides)
- 28.03 - Lecture "Check-pointing IV (Informal discussion) and PhD student presentation" (Slides) (Slides_PhDprojects-part3)
- 04.04 - Lecture "Check-pointing V (Formal presentation) and PhD student presentation" (Slides) (Slides_PhDprojects-part4) Δ
- 11.04 - Lecture "Check-pointing VI (Informal discussion)" (Slides)
- 18.04 - Free session (please focus on advancing your contributions)
- 25.04 - Lecture "Check-pointing VII (Informal discussion)" (Slides)
- 02.05 - Free session (please prepare the initial draft of deliverables)
- 09.05 - Submission of initial deliverables - Revision through an informal discussion
- 16.05 - Tuning deliverable session 1 (for whose deliverables that are poor quality)
- 23.05 - Tuning deliverable session 2 (for whose deliverables that are poor quality)
- 30.05 Final deliverable submission to huber DOT flores AT ut DOT ee. No deliverables can be re-submitted after this deadline. Final grades are also uploaded to the system.