The 21th century is, if anything, becoming a data-driven century. Interaction with everyday objects may yield a wealth of information, especially when correlated: if in an apartment the fridge door is being opened and closed regularly, then presumably apartment is inhabited ; if a drinking glass is subsequently emptied, presumably the inhabitant is alive and well, and, is staying both fresh and hydrated ; if the BBQ or the oven is used frequently, perhaps the inhabitant is either overeating (and so, a potential customer for diet plans) or is entertaining frequently (and so, a a potential customer for party supplies) — something which analysing the usage patterns of the door bell would reveal…
A premise for being able to analyse usage patterns and interactions is, of course, that these physical actions are captured and transformed into data — and, that these data are communicated from everyday objects with and through the Internet, and to the cloud.
And so, the 21th century is necessarily also the connected century: smartphones, watches, fridges, toothbrushes, drinking glasses, coffee machines, medical implants, BBQs, office plants, and forks are all becoming connected objects, generating data — and thus, becoming part of the Internet.
Outside of the consumer market, knowing the state of a machine, of an airplane engine, or of a power substation, permits scheduling predictive maintenance and avoid accidents — embedded sensors able to capture, and communicate, this state is a necessary premise.
As a matter of fact, a company launching a product today that doesn't "run an app" and "connects to the Internet" is a company, which just hasn't grasped the needs (or, at least, the desires) of its market - much as the guy installing the bike rack on the left, clearly misunderstood his "target market".
In order to ensure that YOU do not end up being that gal/guy, building a product miserably missing the market, this course provides you with the core competencies, necessary for developing connected systems.
This course is self-contained: it assumes some programming skills, and a lot of curiosity — and will introduce the rest as it goes along. Each lesson will consist of a lecture, followed by 2h of lab (TD). This course is calibrated so that a student should expect to spend 1-2h/week outside of class, reviewing material and/or finishing exercises.
Requirements:
A good dose of curiosity is required.
(Having followed INF321 or INF311+411 probably won’t hurt)
Evaluation mechanism:
Weekly submissions (either of homework, or of quizzes) worth 50% of the final grade, and a final exam QCM worth the other 50% of the grade.
Language:
English (with, at least, bilingual teaching staff)
- Profesor: Brochot Guillaume
- Profesor: Clausen Thomas
- Profesor: Gerenton Victor
- Profesor: Jiokeng Kevin
- Profesor: Lavignotte Antoine
- Profesor: Vinarskii Evgenii