Data structures and algorithms

Structure Type: Course
Code: KL04BT51010
Level: Bachelor
Credits: 4.0 points
Responsible Teacher: Mäkelä, Petteri
Language of Instruction: Finnish

Course Implementations, Planned Year of Study and Semester

Curriculum  Semester  Credits  Start of Semester  End of Semester
TITE-2013   2 spring   4.0   2015-01-02   2015-07-31  
TITE-2014   2 spring   4.0   2016-01-01   2016-07-31  
TITE-2015   2 spring   4.0   2017-01-01   2017-07-31  
TITE-2016   2 spring   4.0   2018-01-01   2018-07-31  

Learning Outcomes

Students can utilize the data structures and algorithms in software engineering.

Student's Workload

Sceduled studies 52 h, autonomous studies 52 h

Prerequisites / Recommended Optional Courses

Basics of programming


- Array, ring buffer, linked list, queue, stack, tree structures
- Sorting and search algorithms
- Collection classes in C# or Java

Recommended or Required Reading

Lecture materials.
Vesterholm M. and Kyppö J. 2008 or later edition. Java-ohjelmointi. Talentum Media Oy.

Additional reading: Lafore R. Data structures and algorithms in Java. Sams Publishing. ISBN 0-672-32453-9

Mode of Delivery / Planned Learning Activities and Teaching Methods

Lectures and exercises

Assessment Criteria

- excellent (5): The student can utilize the learned skills in demanding project assignment
- good (3-4) The student can apply the most important data structures and algorthms in his assignments
- satisfactory (1-2) The student knows the basics

Assessment Methods

Exercises, assignment and an examination