Data structures and algorithms
| Structure Type: | Course |
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| Code: | KL04BT51010 |
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| Level: | Bachelor |
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| Credits: | 4.0 points |
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| Responsible Teacher: | Mäkelä, Petteri |
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| Language of Instruction: | Finnish |
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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
Contents
- 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
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