ITI41920 Automation, Adaptation and IoT (Autumn 2023)
Facts about the course
- ECTS Credits:
- 10
- Responsible department:
- Faculty of Computer Science, Engineering and Economics
- Campus:
- Halden
- Course Leader:
- Maben Rabi
- Teaching language:
- English
- Duration:
- ½ year
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.
Lecture Semester
First semester (autumn) in the full-time and part-time programme.
The student's learning outcomes after completing the course
Knowledge
The student has knowledge of
- The reasons for, and benefits of the spread of embedded, networked computers
- examples of real-time systems, delivering automation, adaptation and remote monitoring, both in industry and society
- basic sensing, communication, control, and computing elements in a typical cyber-physical system
- techniques for modelling cyber-physical systems from descriptions of their components
- basic architectural templates for internet of things (IoT)
- examples of adaptation and learning in IoT systems
Skills
The student is able to
- decompose any given IoT system into its sensing, communication, control, and computing elements
- apply basic modelling methods to capture the dynamic behaviour
- predict dynamic behaviour using simulation tools
- predict performance from approximate modelling and analysis
- perform simulation, implementation and testing of simple Arduino or Raspberry-Pi based networked, mechatronic, IoT systems
General competence
The student
- knows the way of abstracting device and embedded software details, and extracting the overall functional behaviour, in concrete examples of IoTs
- is familiar with the terminology of the area of cyber-physical systems
Content
Introduction to embedded computing devices
Introduction to basic sensing, actuating and other physical devices
Common communication protocols for real-time applications
Modelling of continuous and discrete dynamics
Challenges in specification, verification, and systems engineering
Forms of teaching and learning
Lectures, seminar/workshops, and project work with software tools and mechatronic hardware.
Workload
Approx. 280 hours.
Coursework requirements - conditions for taking the exam
The student must:
deliver up to 5 mandatory assignments
finish their final project work
These assignments require working with software packages, hardware implementation and programming, as well as reading and summarizing papers from the research literature. The final project also involves similar activities.
Coursework requirements must be accepted to qualify for the exam.
Examination
Oral exam and project report in groups of 2-3 students
The exam is divided into two parts:
Oral exam in groups (50%): Based on the course curriculum. Duration 30 min. No supporting materials allowed. The students will get an individual grade.
Project report in groups (50%): Based on the project work.The students will get an individual grade.
Grading scale A - F in both parts. Both parts of the exam must be passed to pass the exam as a whole.The students will get an individual joint grade for the entire course.
Examiners
External and internal examiner, or two internal examiners.
Conditions for resit/rescheduled exams
Upon re-examination, each part of the examination can be retaken.
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.