IoT technologies (5 cr)

Code: IT00EB94-3001

General information

Enrollment: 08.11.2021 - 21.11.2021
Registration for the implementation has ended.

Timing: 10.01.2022 - 25.03.2022
Implementation has ended.

Number of ECTS credits allocated: 5 cr

Local portion: 5 cr

Mode of delivery: Contact learning

Unit: Department of Information Technology

Campus: Mikkeli Campus

Teaching languages: English

Seats: 20 - 40

Degree programmes: Degree Programme in Information Technology

Teachers: Timo Hynninen

Teacher in charge: Timo Hynninen

Groups: ITMI20SP
Information technology, full-time studies

Course: IT00EB94

No reservations found for realization IT00EB94-3001!

Objective

You know the basics and connections that make up IoT.
You can build sensor/actuator systems.
You know how IoT provides value.
You can create end-to-end IoT systems connected to cloud services.
You are able to design IoT systems that can solve problems in manufacturing, healthcare or in energy systems.

Content

What are smart things? How are they programmed?
What makes the value of data produced by IoT?
How does big data analysis work and how to apply it to IoT systems?
How to link IoT systems to cloud services?

Evaluation

Students can
a. use professional vocabulary systematically.
b. look for information in the key information sources of the field.
c. identify interrelated tasks.
e. use the key models, methods, software and techniques of the professional field.

Course material

J. Fraden, Handbook of Modern Sensors - Physics, Designs and
Applications (3rd Edition), 2004.
J. S. Wilson, Sensor Technology Handbook, 2005.
Keithley, Low Level Measurements Handbook – 7th Edition
Introduction to the IoT, 2016 (available from http://iot-open.eu /)
Rayes & Salam, Internet of Things From Hype to Reality, Springer
2019
McEwen & Cassimally: Designing the Internet of Things (1st. ed.). Wiley Publishing 2013.
Donat: Jumpstarting C. Maker Media Inc 2018.
Pfister: Getting started with the internet of things. O'Reilly Media 2011.

Other material collected in the Learn platform.

Study forms and methods

Scheduled track: Teaching and guidance sessions as specified in the weekly schedule. You will complete course assignments and practical assignments, and complete a final exam.

RDI and work-related cooperation

None

Evaluation scale

1-5

Qualifications

Computer and ICT environments
Introduction to programming
IoT electronics and measurements