Valid for: 2024/25
Faculty: Faculty of Engineering LTH
Decided by: PLED C/D
Date of Decision: 2024-04-16
Effective: 2024-05-08
Main field: Technology
Depth of study relative to the degree requirements: First cycle, in-depth level of the course cannot be classified
Mandatory for: D2, Pi3
Elective for: C4-pvt, E4, F4, F4-pv, I4, L4-gi
Language of instruction: The course will be given in Swedish
Algorithms and data structures are fundamental in computer science. Data structures are used to model reality and the choice of data structures affects the efficiency of algorithms. One aim with this course is to give the students knowledge of advanced data structures for some of the abstract models included in previous courses and also of a number of data structures used to represent further models, such as graphs. Another aim is to give improved knowledge of algorithms, particularly graph algorithms. The course will also give the students knowledge of techniques for analysing algorithms with respect to performance.
Knowledge and understanding
For a passing grade the student must
Competences and skills
For a passing grade the student must
Judgement and approach
For a passing grade the student must
Graphs and graph algorithms. Data structures for graphs. Problem solving strategies such as divide and conquer, greedy algorithms and brute force. Techniques for analysing the time complexity of algorithms. Introduction to the complexity classes P and NP, computability and the Church-Turing thesis.
Grading scale: TH - (U, 3, 4, 5) - (Fail, Three, Four, Five)
Assessment: To pass the course it is required to pass the compulsory course items and to pass the oral exam. The final grade of the course is based on the result of the oral exam.
The examiner, in consultation with Disability Support Services, may deviate from the regular form of examination in order to provide a permanently disabled student with a form of examination equivalent to that of a student without a disability.
Modules
Code: 0122. Name: Examination.
Credits: 3.0. Grading scale: TH - (U, 3, 4, 5).
Assessment: Approved examination
The module includes: Oral examination
Code: 0222. Name: Compulsory Course Items.
Credits: 2.0. Grading scale: UG - (U, G).
Assessment: Approved compulsory course itemns
The module includes: Laboratory work and a hand-in assignment.
Admission requirements:
Examinator: Jonas Skeppstedt,
jonas.skeppstedt@cs.lth.se
Course homepage: https://cs.lth.se/edaf05