ITI42020 Modelling Cyber-Physical Systems (Spring 2023)

The course is connected to the following study programs

Elective course in the master programme in applied computer science, full-time and part-time.

Recommended requirements

ITI41920 Hands-on Introduction to Cyber-Physical Systems and general programming skills

Lecture Semester

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

Second or fourth semester (spring) in the 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 focus on how reactive systems can be built with emphasis on modeling. The models are executable and based on state machines. The requirements of these concurrent systems are modeled as sequence diagrams, and it is emphasized that the requirements and design should be consistent.

We emphasize reactive systems on the Internet of Things, and we use a running example where the functionality is enhanced during the course following an agile approach.

Towards the end of the course, we show how systems can be made more resilient to unexpected incidents and errors. To perform risk-analysis of such systems will also be covered.

Forms of teaching and learning

Project work, lectures and guided lab and exercises.

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

External and internal examiner, or two internal examiners.

Course evaluation

This course is evaluated by a:

• Mid-term 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 2023 Spring can be found in Leganto