- Basic programming in Python
- Classical data structures: stacks, queues, lists, trees, graphs,hash tables
- Algorithms and algorithms analysis: searching and sorting,optimization, pattern matching, complexity measures,theoretical limits
- Abstraction techniques: abstract data types, interfaces
- Problem solving techniques: recursion, hierarchical decomposition,abstraction
- Programming and visualization in Matlab
DD1345 Fundamentals of Programming and Computer Science 7.5 credits
This course has been discontinued.
Last planned examination: Spring 2019
Decision to discontinue this course:
No information insertedContent and learning outcomes
Course contents
Intended learning outcomes
After the course, the student should be able to
- use the algorithms and the data structures in the course to dealsuccessfully with practical problems of the types occurring in labsand exams (these are all on the web),
- analyse the properties of algorithms in practical problems of thetypes occurring in labs and exams,
- use Matlab for calculations and visualization of mathematicalproblems
in order to
- develop computer scientific thinking and thereby efficientlysolve programming problems.
Literature and preparations
Specific prerequisites
For single course students: completed upper secondary education including documented proficiency in Swedish corresponding to Swedish B, English corresponding to English A. Furthermore: 7,5 hp in mathematics and 6 hp in computer science or programming techniques.
Recommended prerequisites
High school mathematics (scientific program). Some computer experience (the concepts of operating system and file and experience from one computer application, e.g. word processing).
DD1301 Computer Introduction is recommended.
5B1109/SF1604 Linear Algebra.
Equipment
Literature
Course literature will be announced at least 4 weeks before course start at course home page.
Examination and completion
If the course is discontinued, students may request to be examined during the following two academic years.
Grading scale
Examination
- LAB1 - Laboratory Work, 3.0 credits, grading scale: P, F
- LAB2 - Laboratory Work, 1.5 credits, grading scale: A, B, C, D, E, FX, F
- TEN1 - Examination, 3.0 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.
In this course all the regulations of the code of honor at the School of Computer science and Communication apply, see: http://www.kth.se/csc/student/hederskodex/1.17237?l=en_UK.
Opportunity to complete the requirements via supplementary examination
Opportunity to raise an approved grade via renewed examination
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
Offered by
Main field of study
Education cycle
Add-on studies
DN1240 Numerical Methods, Basic Course II and DD1346 Object-Oriented Program Construction.
Contact
Supplementary information
Only one of the following courses can be counted in your degree: DD100N, DD1310, DD1311, DD1312, DD1314, DD1315, DD1340, DD1341, DD1342, DD1343, DD1345, DN1212, HI1024, HI1026, ID1004, ID1301.