ITI42020 Models and Digital Twins for the Internet of Things (Spring 2025)

The course is connected to the following study programs

Mandatory course in the master programme in applied computer science with specialisation in internet of things, full-time and part-time.

Recommended requirements

ITI41920 Automation, Adaptation and the Internet of Things.

General programming skills is an advantage.

Lecture Semester

Second semester (spring) in the full-time and part-time programme.

The student's learning outcomes after completing the course

Knowledge

The student understands

• the challenges associated with cyber-physical systems

• the relevance of good software design principles

• how evolution and maintenance should be organized

• the value of abstraction

Skills

The student has the capability to

• model and implement reactive systems with concurrency

• perform analysis of consistency of models of systems with concurrency

• give and take constructive criticism of the system design and functioning

• receive the experience of building a cyber-physical system and making it execute

General competence

The student

• can build systems on «Internet of Things»

• can assess realistically what errors may occur in cyber-physical systems and how to minimize their vulnerability

• has some insight into precise descriptions and their semantics

Content

The course focuses on how reactive systems can be built with emphasis on modeling. The models are executable. The requirements of these concurrent systems are specified e. g. as sequence diagrams, and it is emphasized that the requirements and design must be consistent. The models are seen as "Digital Twins", and it is shown how they are useful in theory and practice, and how their evolution should be managed.

Forms of teaching and learning

The course has three intensive teaching sessions, each session is two full working days consisting of lectures and guided lab and exercises.

In between the teaching session there is supervised project work. For each instance of the course, we create new project tasks. We teach the project teams how to give and take constructive feedback.

Workload

Approx. 280 hours.

Coursework requirements - conditions for taking the exam

• Mandatory project: There will be one project, with deliverable at each teaching session (2 deliverables). Project group size should be 2-4 people, but with few students, single person project will be possible. The students should expect to spend 100 hours on the project.

• Plenary presentation and evaluation of the project. The project should normally result in an executable model that should be demonstrated at the plenary presentation.

Coursework requirements must be accepted to qualify for the exam.

Examination

Individual oral exam

Individual oral exam based on the course curriculum and mandatory exercises. Approximately 30 minutes duration. No supporting materials allowed.

Assessment on the A - F grading scale.

Examiners

One external and one internal examiner, or two internal examiners will be involved in the assessment.

Course evaluation

This course is evaluated by a:

• Final course evaluation (compulsory)

The responsible for the course compiles a report based on the feedback from the students and his/her own experience with the course. The report is discussed by the study quality committee at the Department of Computer Science and Communication.

Literature

The current reading list for 2024 Spring can be found in Leganto