IoT for Wireless Systems (5 cr)
Code: MS00BP21-3003
General information
Enrollment
30.04.2022 - 05.09.2022
Timing
06.09.2022 - 31.12.2022
Number of ECTS credits allocated
5 op
Mode of delivery
Contact teaching
Unit
Engineering and Business
Teaching languages
- Finnish
Degree programmes
- Master of Business Administration, Software Engineering and ICT
- Master of Engineering, Software Engineering and ICT
Teachers
- Tero Jokela
- Juha Kalliovaara
Groups
-
YICTIK22
-
YICTTK22
Objective
After completing the course, the student is able to:
-consider how the Internet of Things affects business and what opportunities it gives
-describe general IoT implementation architecture and has an ability to build IoT in a laboratory environment
-describe the differences and potentials of wireless IoT systems for at least one system
Content
-IoT system design and typical components
-Building an IoT system
-Special requirements for wireless system
Materials
To be announced later
Teaching methods
Hybrid lectures, possible to follow through remote connection or in the class room, except for the laboratory exercises (after 2. and 3. lectures)
Lectures (4pcs)
Personal learning diary
In groups of 2 persons:
Lab exercises (2 pcs)
Seminar on industrial wireless systems and IoT
- Written report (4 pager) and presentation (15mins)
Exam schedules
No exam
International connections
Students have a possibility to propose own topics for the seminar
Learning partially based on teamwork (seminars, lab exercises)
Completion alternatives
No alternative ways to complete the course
Student workload
Contact teaching 16h
Independent learning + preparation for the seminar throughout the whole course: 119h
Content scheduling
September: Introduction to industrial wireless systems and IoT
October: Sustainability and AI in wireless communications, long range IoT systems
November: Short range IoT systems and building automation
November: Seminar
Further information
Student needs an own computer, Windows OS preferred.
Evaluation scale
H-5
Assessment methods and criteria
Presence during contact days (or extra assignments in case of absences)
Completed report & presentation (peer-reviewed by fellow students)
Completed lab exercises
Completed learning diary
Assessment criteria, fail (0)
Seminar paper + presentation missing
OR
Learning diary missing
Assessment criteria, satisfactory (1-2)
Learning diary completed
Seminar paper completed, poor grade in review
OR
Lab exercises not completed
Assessment criteria, good (3-4)
Seminar paper completed, good grade in review
Learning diary completed
Lab exercises completed
Assessment criteria, excellent (5)
Seminar paper completed, good or excellent grade in review
Learning diary completed
Lab exercises completed
High presence/activity during lectures/lab exercises