Overview
Plan
Syllabus
The course syllabus consists of a book and a collection of research papers on the topic of P2P and IoT. These documents will be available in the documents section found on the left side of this page, and are linked above.
The book is Building the Web of Things by Dominique D. Guinard and Vlad M. Trifa. Associated with the book is the official Website.
People
Niels Olof Bouvin, Lecturer. Office hours: Thursday 13:30-16:30, Friday 9:30-11:45, hopper-123.
Mark Medum Bundgaard, Teaching Assistant. TA hours: Friday, 11:30-14:30, InCuba-129.
Hardware platform
We will in this course use the Raspberry Pi (3 recommended) as the platform of choice. The official set of sensors and other electronic components will be made available for purchase by the IT lab. Please note that they only can accept payment through MobilePay.
I have made a disk image (4 GB, SHA256 hash eb5d35afa4fdbe9bf4ed5ce94e06fc7fd329b8807df73e6d09284974d77a5dcd) that you might find useful as a starting point. It already has the latest Node.js installed. Guide to installation.
Location and time
Lectures Tuesdays, 10:15 - 12, and Thursdays, 12:15 - 13, in Lille Auditorium, InCuba, Åbogade 15. First lecture 29/August/2017.
Milestone meetings
In addition, there will be milestone meetings with all groups in my office, hopper-123. These will take place Thursday afternoon and Friday. Further announcements will follow, once the milestones and number of groups have been finalised.
Report requirements
The report should use the template linked below. It should be no longer than 30 pages, excluding indices and appendices. The introduction must include either a statement of who did what, or a statement of joint authorship. Provide a link in the report to any video demo of the system in action. The report must be written in either Danish or English.
Report template
The preferred way to get the template is through git:
Alternatively, you can preview the template and download a zip-file. The zip-file can be uploaded as a project to ShareLaTeX.
Live- and podcast
The lectures will be live-cast on the AU video lecture system.
The lectures are also published as a video podcast, which will become public once the first lecture has been processed.
The lecture podcast can be found at https://feeds.feedburner.com/dBIoTP2PC2017
Copy/paste the URL into your favourite podcatcher. In iTunes, it may be found under File → Subscribe to Podcast...
(Please note that this is all strictly best effort without any guarantees).