- Selected intelligent methods for realizing relevant functionalities (e.g. anomaly detection, forecasting, feature exaction and clustering, etc.) desired in embedded systems.
- Application and evaluation of the selected intelligent methods in the emerging cloud-computing paradigm.
- Challenges such as dependability, sustainability, security etc. and opportunities of deploying intelligent functions in cyber-physical systems.
IL2233 Embedded Intelligence 7.5 credits
The course aims to provide the students with essential theoretical methods and practical skills which are needed to develop, assess and deploy intelligent functionalities in smart electronics and embedded systems. In particular, dependability and sustainability are considered in the course.
Information per course offering
Choose semester and course offering to see current information and more about the course, such as course syllabus, study period, and application information.
Information for Spring 2025 TEBSM programme students
- Course location
KTH Kista
- Duration
- 17 Mar 2025 - 2 Jun 2025
- Periods
- P4 (7.5 hp)
- Pace of study
50%
- Application code
60816
- Form of study
Normal Daytime
- Language of instruction
English
- Course memo
- Course memo is not published
- Number of places
20 - 40
- Target group
TEBSM
- Planned modular schedule
- [object Object]
- Schedule
- Part of programme
This offering is cancelled
Contact
Course syllabus as PDF
Please note: all information from the Course syllabus is available on this page in an accessible format.
Course syllabus IL2233 (Autumn 2021–)Headings with content from the Course syllabus IL2233 (Autumn 2021–) are denoted with an asterisk ( )
Content and learning outcomes
Course contents
Intended learning outcomes
After passing the course, the student shall be able to
- identify the need of applying intelligent methods to realize smart embedded systems
- explain and apply selected intelligent methods to address real-life problems in embedded systems
- design and implement exemplary intelligent methods for practical problems in the edge-cloud computing paradigm
- conduct systematic evaluations (functional versus non-functional, quantitative versus qualitative) of deploying intelligent functions in cyber-physical systems
in order to gain basic knowledge, skills, understanding and insights which are needed to build smart electronics and embedded systems.
Literature and preparations
Specific prerequisites
- Completed course in the equivalent SF1625 of one variable calculus/SF1685
- Completed course in the equivalent SF1626 of multivariable analysis/SF1686/SF1674
- Completed course in linear algebra equivalent SF1624/SF1684
- Completed course in mathematical statistics including the equivalent SF1912
- Completed course in digital design equivalent to IE1204/IE1205.
- Completed course in computer engineering equivalent to IS1200/IS1500.
- Completed course in embedded electronics equivalent EI1202/IE1206
- Completed course in programming equivalent to ID1018.
Students satisfying the specific entry requirements to the Master's programme (two-year) in Embedded Systems are considered to meet the above requirements.
Active participation in a course offering where the final examination is not yet reported in LADOK is considered equivalent to completion of the course.
Registering for a course is counted as active participation.
The term 'final examination' encompasses both the regular examination and the first re-examination.
Equipment
No information inserted
Literature
No information inserted
Examination and completion
If the course is discontinued, students may request to be examined during the following two academic years.
Grading scale
P, F
Examination
- LAB1 - Lab assignments, 2.5 credits, grading scale: P, F
- PRO1 - Project assignments, 3.5 credits, grading scale: P, F
- SEM1 - Seminars, 1.5 credits, grading scale: P, F
Based on recommendation from KTH’s coordinator for disabilities, the examiner will decide how to adapt an examination for students with documented disability.
The examiner may apply another examination format when re-examining individual students.
Opportunity to complete the requirements via supplementary examination
No information inserted
Opportunity to raise an approved grade via renewed examination
No information inserted
Examiner
Ethical approach
- All members of a group are responsible for the group's work.
- In any assessment, every student shall honestly disclose any help received and sources used.
- In an oral assessment, every student shall be able to present and answer questions about the entire assignment and solution.
Further information
Course room in Canvas
Registered students find further information about the implementation of the course in the course room in Canvas. A link to the course room can be found under the tab Studies in the Personal menu at the start of the course.
Offered by
Main field of study
Electrical Engineering
Education cycle
Second cycle
Add-on studies
No information inserted
Supplementary information
In this course, the EECS code of honor applies, see:
http://www.kth.se/en/eecs/utbildning/hederskodex