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.
- 10.02 Introduction to Pervasive Data Science (Slides)
- 24.02 No-session
- 03.03 Project selection and Lecture PhD student presentation - "Seamless integration of light sensors with nanodrones for produce quality estimation" - Presentation delivered in ACM IoT 2023 (Slides) and "ContextLLM: ContextLLM: Meaningful Context Reasoning from Multi-Sensor and Multi-Device Data Using LLMs" - Presentation delivered in ACM HotMobile 2025 (Slides)
- 10.03 Student project understanding (Student checking point 1) and obtaining equipment (Pick up point: 3044)
- 17.03 Lecture "Statistical analysis over data" and example through a PhD student presentation (Slides) and "PhD student presentation - HIPPO: Pervasive Hand-grip Estimation from Everyday Interactions" - Presentation delivered in ACM UbiComp 2023 (Slides)
- 24.03 Lecture "No session: but please arrange a face-to-face meeting with your co-supervisor
- 31.03 Update of prototype development and Lecture "PhD student presentation - Smart Plants on Wheels" - Content from our paper published in IEEE Pervasive Computing Magazine (Slides)
- 07.04 Student checking point 2
- -> Scheduled on the go
- 01.04 No-session
- 08.04 PhD student presentation - Upscaling Fog Computing in Oceans for Underwater Pervasive Data Science using Low-Cost Micro-Clouds - Presentation delivered in ACM SenSys 2023 (Slides) and Lecture "How to present my research in a conference" (Slides) Δ
- 15.04 Student checking point 2
- 22.04 Lecture "How to perform a (concise) literature review?" (Slides)
- 29.04 Student project development (no-session)
- 06.05 Presentation and agreement of final deliverables (Slides) Δ
- 13.05 onward - Final presentations
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)