The course gives students with a special interest in robotics, perception and learning the opportunity to read an especially designed a project course in their own interest field. Both course content and assessment are designed individually for each project.
To be able to start the course, the student should first contact a teacher connected to the interest field and thereafter course coordinator. The course can only be offered if the department has enough resources and skills in the current field.
DD2414 Engineering project in Robotics, Perception and Learning 15.0 credits
This course gives the student an opportunity to work in a tailor-made project.
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 Start 14 Jan 2025 programme students
- Course location
KTH Campus
- Duration
- 14 Jan 2025 - 2 Jun 2025
- Periods
- P3 (7.5 hp), P4 (7.5 hp)
- Pace of study
50%
- Application code
60490
- Form of study
Normal Daytime
- Language of instruction
English
- Course memo
- Course memo is not published
- Number of places
Places are not limited
- Target group
- No information inserted
- Planned modular schedule
- [object Object]
- Schedule
- Schedule is not published
Contact
Course syllabus as PDF
Please note: all information from the Course syllabus is available on this page in an accessible format.
Course syllabus DD2414 (Autumn 2020–)Headings with content from the Course syllabus DD2414 (Autumn 2020–) are denoted with an asterisk ( )
Content and learning outcomes
Course contents
Intended learning outcomes
Having passed the course, the student shall be able to
- choose a course of approach and define, follow and follow up a plan for carrying out the task in a given resource budget,
- Present orally and in writing, a description and defense of a technical solution to a problem in robotics, perception and learning
in order to
- be able to participate professionally in project work in activities in robotics, perception and learning.
Literature and preparations
Specific prerequisites
Completed courses of at least 12 credits at second cycle level in robotics, perception or machine learning.
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
- PRO1 - Project work, 7.5 credits, grading scale: P, F
- PRO2 - Project work, 7.5 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.
As a first stage in the project work of the course a specification must be approved by the course coordinator. The specification should contain intended learning outcomes that can be accessed for each student and a description of how the examination should be carried out for both these and the general aims for this specific project.
The project work is divided into two parts with a half time evaluation between to allow individual follow up take place.
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
Computer Science and 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