Official course description:

Basic info last published 26/02-19
Course info
Language:
English
ECTS points:
7.5
Course code:
KSAPALG1KU
Participants max:
120
Offered to guest students:
Offered to exchange students:
Offered as a single subject:
Programme
Level:
MSc. Master
Programme:
M.Sc. in IT, Software Development and Technology
Staff
Course semester
Semester
Efterår 2018
Start
27 August 2018
End
28 December 2018
Exam
Exam type
ordinær
Internal/External
intern censur
Grade Scale
bestået/ikke bestået
Exam Language
GB
Abstract
Description
Formal prerequisites
Before the course, the student should be able to: - Perform basic analysis of algorithm correctness and complexity, using invariants and big-O notation. - Use basic algorithms and data structures when programming (e.g., lists, queues, stacks, search trees, hashing, sorting algorithms, and basic graph algorithms). This can be achieved, for example, by taking the courses "Foundations of Computing - Algorithms and Data Structures" (SGDS) or "Algorithms and Data Structures" (BADS). The course Algorithm Design (SAD1) is not a prerequisite. The two course actually complement each other.
Intended learning outcomes

After the course, the student should be able to:

Ordinary exam
Exam type:
C: Written report, internal (bestået/ikke bestået)
Exam description:
Parts of the exam are to be answered as text and other parts as source code that describes a correct and sufficiently efficient implementation. Written take-home exam (individual mini-project) - Total duration 6 hours - Individual - Date and time for exam publication and solution hand-in will be published in LearnIT. - Submission in LearnIT - All materials, including Internet access, allowed - Plagiarism, collaboration and copying of solutions not allowed. - There is no oral exam but a fraud check will be conducted after the hand-in. The study administration will randomly select 20 % of students who will have to show up at ITU to check authorship of submitted solutions. The selection of students and the place and time for the fraud check will be published in Learn IT.