Learning Goals

This PG aims to train on both scientific and academic soft skills. After taking this PG, students will be able to 

• Read scientific papers and perform some basic literature study
• Propose a research idea with a clear motivation
• Design and implement IoT systems to realize the proposed research idea
• Demonstrate your research prototype to your peers
• Write a scientific report summarzing your ideas and findings

Organization

We will have weekly meetings for progress monitoring and feedback. The PG is organized in three phases:

Phase 1: Literature Study and Proposal

• You will be introduced to the topic (in the first appointment) and will be given a list of papers to start. 
• Read these papers and other relevant ones you find thoroughly and think about potential directions for your work.
• Propose a clear research idea your would like to pursue in the PG and write a one-pager proposal with clear motivation.
• Receive feedback and approval about your proposal from the PG coordinator. 

Phase 2: Design and Implementation

• Submit a list for the devices and equipments needed for the implementation. 
• Sketch the design and clarify tools and open-source software that can be used for implementation.
• Implement your design.
• Perform a case study to validate your design and implementation.

Phase 3: Demonstration, Presentation, and Report

• Prepare a demo for your project.
• Demonstrate and present your project to your peers (in a poster/demo format). 
• Write a report to summarize your ideas and findings. 
• (Optional) Submit a research paper to a scientific conference. 

Assessment

The seminar will be assessed based on three components:

• Scientific quality (20%): Ideally, your research idea should be original and goes beyond the state-of-the-art in some way. The motivation should be clearly stated. 
• Implementation quality (50%): Your implementation should be solid and be able to demonstrate your research ideas. Your code should be well organized and documented.
• Demo and report quality (30%): You should be able to explain your project to others and summarize your work in a report with clarity. 

You pass the course if you receive no less than 50% overall. Partitipation in each and every component is strictly required; getting a zero for any component means failing the course. 

Important Dates 

Note: The following dates and tentative and are subject to changes.

• Proposal deadline: December 20, 2024
• Implementation midterm: March 20, 2025
• Demo: June 2025
• Final report submission: July 2025