IoT, Architectures (3cr)

Objectives (course unit)

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 (course unit)

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.

Exam schedules

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

Assessment 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.

Assessment scale

1-5

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.

Learning materials

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

Student workload

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

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.

Completion alternatives

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

Practical training and working life cooperation

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

International connections

No international activities involved.

Further information

HAMK students register for courses in Pakki and Turku UAS students in Peppi. Students from other universities of applied sciences register on CampusOnline during the registration period using a separate registration form, which can be found on the campusonline.fi portal in the course information. Does not require anything special on students computer. The student needs to have administrator rights on the computer. 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. For the exercises conducted on video it is recommended for a student to use two monitors or one monitor which is large enough. There is no restriction on the number of the Campus Online and of the HAMK students. CampusOnline students can provide course feedback via a browser at https://pakki.hamk.fi/spark.