ITI42020 Models and Digital Twins for the Internet of Things (Spring 2027)
Facts about the course
- ECTS Credits:
- 10
- Responsible faculty:
- Faculty of Computer Sciences, Engineering and Economics
- Campus:
- Halden
- Course Leader:
- Maben Rabi
- Teaching language:
- English
- Duration:
- ½ year
Table of contents
The course is affiliated to the following study programme
Recommended previous knowledge
Recommended pre-knowledge:
- at least 80 ECTS credits in computer science, of which at least 20 ECTS credits in programming.
- ITI41920 Automation and IoT or equivalent
Teaching semester
Content
The student's learning outcomes on passing 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
Teaching and learning methods
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
Coursework requirements - conditions for taking the exam
- There will be up to four lab assignments. The students should expect to spend 100 hours on these assignments
- 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.
Exam
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
Course evaluation
This course is evaluated by a:
- Final course evaluation
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.