Chalmers -- Computer Science and Engineering

Electrical Grid

Data-driven support for cyber-physical systems

Fall semester, study period 1, 2018/2019

(DAT300/DIT615 -- Masterclass in Areas of advance)



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Course Description

Examiner:
Associate Professor Magnus Almgren, phone: 031-772 1702, email: magnus.almgren

Co-examiner/supervisor:
Associate Professor Marina Papatriantafilou, phone: 031-772 5413, email: ptrianta

This is a so-called masterclass in the area of advance, giving an overview of how important technologies from the Information and Communication Technologies (ICT) area that is being used in other domains to make them more efficient ("smart"), with several examples drawn from the smart grid but other infrastructures are also used in the lectures and for the projects. The focus is on algorithms, distributed computing, communication and security.

The course is built around (i) seminars and (ii) project work. Through the seminars you learn about the design or development of systems, infrastructure, and applications that are related to other domains such as the electric power smart grid, with a focus on distributed algorithms and security. You are expected to participate actively in discussions. Through the second part of the course, you are also expected to complete lab work, i.e. a significant project with interdisciplinary relevance to another domain (such as the smart grid). In this way you will also gain experience at the front connecting research and education in the main domain overlapping two of the Areas of Advance, namely ICT and Energy/Transportation/Building Technology/etc. Your project should be presented and demonstrated for your peers, and documented through a technical report. Through your presentations, you will also get feedback and learn to better present materials to your peers. Through your report, you will improve your skills in technical writing (connected to DAT147).

The course memo can be found here (this is version A-170829).

Recommended text book
The course is built around seminars, lecture notes and research papers.


Study Material - Lectures and list of papers

The course will start with lectures from faculty and invited speakers. You will also in the first week form a group and work on a project. As part of that work, you should find and connect your work to the scientific literature. As such, each group/project will touch upon a series of scientific articles, both to give an introduction to our work and then support you in your respective projects. We have assembled a list of papers from which you can choose: http://www.cse.chalmers.se/edu/course/DAT300/papers.html. You may also suggest your own papers, but they need to be challenging and of sufficient theoretical depth. These papers should be connected to your project and support your work (for example in that you implement a suggested algorithm, evaluate two algorithms, etc.).

For both presentations and project report, please take a careful look at the lectures/instructions at the technical writing course: http://www.cse.chalmers.se/edu/year/2015/course/DAT147/ or the current one in PingPong if you are registered.


Project Information

A major part of the course will evolve around the projects (see here for suggestions ). Our idea is that this should be a hands-on approach, but for each project we also expect you to read scientific papers. These will help you for the implementation but also show research problems. We know that the seven weeks will go by very quickly, so you will need to have decided on your project (and your group) in the first week. We are in the process of extending our testbed, and we can promise you some cool gadgets for you to build your project upon. At project start, we will share access with a github for you to look at (and possibly extend earlier projects) as well as discuss available hardware that you can use in your projects, and available data.


Assignments

The following is expected of you, if you decide to pursue this course.

Schedule, notes, slides and other course material

The following course material is electronically available. http://www.cse.chalmers.se/edu/course/DAT300/SLIDESNOTES/ Please note that the slides alone do not give a full coverage of the course contents. The schedule of the course is listed in timeedit. Participation is mandatory. The final schedule will be posted here later.

Monday 2018-09-03, 1000-1145, EL42 Introduction and Administration, GitHub
Wednesday 2018-09-05, 1000-1145, ML3 Project decisions, etc.
Thursday 2018-09-06, 1315-1500, ML3 Introduction to Electric Power Systems, Jimmy Ehnberg (Chalmers EE)

Course Evaluation


URL for this page: http://www.cse.chalmers.se/edu/course/DAT300/index.html
Latest change 2017-09-06