The course is the final part of the track in theoretical computer science. In the course, the student will solve a design or investigation task in theoretical computer science with limited supervision, and report the results. Both course content and assessment are designed individually for each student.
DD2467 Individual Project in Theoretical Computer Science 7.5 credits
The course will give students specializing in theoretical computer science a way to apply and deepen their knowledge in an individual 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 Autumn 2025 tcsindh25 programme students
- Course location
KTH Campus
- Duration
- 25 Aug 2025 - 12 Jan 2026
- Periods
- P1 (4.0 hp), P2 (3.5 hp)
- Pace of study
25%
- Application code
50501
- 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
Only students following the track Theoretical computer science in the a master's programme TCSCM.
- Planned modular schedule
- [object Object]
- Schedule
- Schedule is not published
- Part of programme
Contact
Course syllabus as PDF
Please note: all information from the Course syllabus is available on this page in an accessible format.
Course syllabus DD2467 (Autumn 2025–)Headings with content from the Course syllabus DD2467 (Autumn 2025–) are denoted with an asterisk ( )
Content and learning outcomes
Course contents
Intended learning outcomes
After passing the course, the student should be able to:
− independently plan, carry out and report a design or investigative task in theoretical computer science
− acquire and evaluate information applicable for carrying out the task
− choose a course of approach and define, follow and follow up a plan for carrying out the task in a given resource budget,
− write legible reports in English or Swedish that satisfy established norms as to structure, language and contents
− orally report a work with certain requirements of preparation, structure, style and time
− show increased knowledge and skills in theoretical computer science
in order to
− apply and deepen his or her knowledge in theoretical computer science in a larger individual project work.
Literature and preparations
Specific prerequisites
Knowledge of advanced algorithms, 6 credits, equivalent to completed course DD2440.
Knowledge of theoretical computer science and mathematics equivalent to the other three courses taken by the student in the theoretical computer science track of the Master's Programme in Computer Science. The courses must be either completed or taken in parallel with DD2467.
Recommended prerequisites
Completed or at least started three courses within the Theoretical computer science track of the Computer Science master's programme.
Literature
You can find information about course literature either in the course memo for the course offering or in the course room in Canvas.
Examination and completion
If the course is discontinued, students may request to be examined during the following two academic years.
Grading scale
A, B, C, D, E, FX, F
Examination
- PRO1 - Project, 7.5 credits, grading scale: A, B, C, D, E, FX, 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.
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
Supplementary information
In this course, the EECS code of honor applies, see:
http://www.kth.se/en/eecs/utbildning/hederskodex