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IoT, Architectures (3 cr)

Code: C-02467-TI00DX52-3002

General information


Enrollment
22.05.2023 - 15.12.2023
Registration for the implementation has ended.
Timing
05.02.2024 - 15.03.2024
Implementation has ended.
Number of ECTS credits allocated
3 cr
Local portion
3 cr
Mode of delivery
Blended learning
Institution
Häme University of Applied Sciences, Riihimäki
Teaching languages
English
Seats
0 - 45
No reservations found for realization C-02467-TI00DX52-3002!

Evaluation scale

1-5

Content scheduling

Online study. Within the given period the students can individually decide the timing of studying the fundamentals and completing the tasks. Content and time allocation can be seen on the e-learning environment Learn/Moodle. The e-learning environment will be accessible to students who are enrolled and accepted as students.

Objective

On completing the course the student understands how an Internet of Things system can be build out of devices, software, communication networks, communication protocols, server applications and cloud services. Special attention will be given on scalability from a system of tens of devices and tens of users to a system of thousands of devices and thousands of users.

Content

Different options for the architecture of an Internet of Things systems will be studied through real life examples. In the exercises the sensor devices will be simulated in software. The operation of so called Edge Devices and IoT Platform Services will be configured and coded with the same development tools as would be used by most important actors in the IoT market. However, previous knowledge on software development will not be absolutely necessary.

Location and time

Online study. Within the given period the students can individually decide the timing of studying the fundamentals and completing the tasks.

Materials

Will be published as online material. The assignment instructions include original system, software and service documentation.

Teaching methods

Lectures on video deal with examples on how the various tasks in IoT systems are implemented in different levels in the architecture. The levels in architecture and optimal distribution of tasks into different levels will be studied on material published as e-learning documents. In exercises the tasks are run on cloud application, on local network and locally on computer. Completing the tasks requires that the student has administrator rights on the computer used for these exercises. Instructions and tutoring have been done based on assumption that the student is using operating system Windows on the computer. A skillful student can as well use Linux or macOS operating system on the computer.

Employer connections

This short course implementation does not include training in industry. The technologies studied are those which are common and contemporary in working life.

Exam schedules

Several small exams needs to be passed during the course implementation.

Pedagogic approaches and sustainable development

No international activities involved.

Completion alternatives

Can be agreed with the teacher and the head of study program.

Student workload

It will be possible for the students to plan individual time schedule within the given time period.

Evaluation methods and criteria

There are automatically evaluated tasks where the points gained from completed tasks will be visible for the student just after task completion. There are individually evaluated reports which will be evaluated at the end of the course period. The evaluation is based on points awarded in the exercise tasks.

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