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Data Structures and Algorithms (3 cr)

Code: TT00CD83-3005

General information


Enrollment
04.08.2025 - 21.08.2025
Registration for introductions has not started yet.
Timing
25.08.2025 - 23.11.2025
The implementation has not yet started.
Number of ECTS credits allocated
3 cr
Local portion
3 cr
Mode of delivery
Face-to-face
Unit
School of Technology
Campus
Lutakko Campus
Teaching languages
English
Seats
0 - 35
Degree programmes
Bachelor's Degree Programme in Information and Communications Technology
Teachers
Juha Peltomäki
Groups
TIC24S1
Bachelor's Degree Programme in Information and Communications Technology
Course
TT00CD83

Realization has 12 reservations. Total duration of reservations is 18 h 0 min.

Time Topic Location
Fri 29.08.2025 time 12:45 - 14:15
(1 h 30 min)
Data Structures and Algorithms TT00CD83-3005
P2_D426 Mediatekniikka
Fri 05.09.2025 time 12:45 - 14:15
(1 h 30 min)
Data Structures and Algorithms TT00CD83-3005
P2_D426 Mediatekniikka
Fri 12.09.2025 time 12:45 - 14:15
(1 h 30 min)
Data Structures and Algorithms TT00CD83-3005
P2_D426 Mediatekniikka
Fri 19.09.2025 time 12:45 - 14:15
(1 h 30 min)
Data Structures and Algorithms TT00CD83-3005
Verkko/Online
Fri 26.09.2025 time 12:45 - 14:15
(1 h 30 min)
Data Structures and Algorithms TT00CD83-3005
Verkko/Online
Fri 03.10.2025 time 12:45 - 14:15
(1 h 30 min)
Data Structures and Algorithms TT00CD83-3005
P2_D426 Mediatekniikka
Fri 10.10.2025 time 12:45 - 14:15
(1 h 30 min)
Data Structures and Algorithms TT00CD83-3005
P2_D426 Mediatekniikka
Fri 24.10.2025 time 12:45 - 14:15
(1 h 30 min)
Data Structures and Algorithms TT00CD83-3005
P2_D426 Mediatekniikka
Fri 31.10.2025 time 12:45 - 14:15
(1 h 30 min)
Data Structures and Algorithms TT00CD83-3005
Verkko/Online
Fri 07.11.2025 time 12:45 - 14:15
(1 h 30 min)
Data Structures and Algorithms TT00CD83-3005
Verkko/Online
Fri 14.11.2025 time 12:45 - 14:15
(1 h 30 min)
Data Structures and Algorithms TT00CD83-3005
P2_D426 Mediatekniikka
Fri 21.11.2025 time 12:45 - 14:15
(1 h 30 min)
Data Structures and Algorithms TT00CD83-3005
P2_D426 Mediatekniikka
Changes to reservations may be possible.

Evaluation scale

0-5

Objective

The course provides a strong foundation for knowing and analyzing algorithms and data structures. You will learn search and sorting algorithms and abstract data structures, such as lists, tables, queues, and stacks.

EUR-ACE Knowledge and Understanding
You know the key concepts related to algorithms and their implementation. You know the most central abstract data structures.

EUR-ACE Engineering practice
You know how to choose the data structures suitable for the implementation of the algorithm. You know how to evaluate the implementation and efficiency of an algorithm.

Content

This course will give you a strong foundation in the knowledge and analysis of algorithms and data structures. You will learn about key search and ordering algorithms and abstract data structures such as lists, tables, queues and stacks. You will be able to select the appropriate data structures for an algorithm implementation and evaluate their performance. This course will give you the skills to solve complex problems efficiently and creatively.

algorithm types
efficiency classification and analysis of algorithms
search and sorting algorithms
abstract data structures
lists and arrays
queue and stack
linked list
trees

Location and time

The course will be implemented in the autumn semester of 2025.

Materials

Materials in the e-learning environment.

Teaching methods

Exchange Students: 5 places

- lectures
- independent study
- distance learning
- assignments
- optional project

Completion alternatives

The admission procedures are described in the degree rule and the study guide. The teacher of the course will give you more information on possible specific course practices.

Student workload

One credit (1 Cr) corresponds to an average of 27 hours of work.

- lectures 20 h
- assignments 46 h
- independent study 15 h

Total 81 h

Assessment criteria, satisfactory (1)

Sufficient (1)
You know the algorithm concept. You recognize abstract data structures. You know how to implement an algorithm with some data structure.

Satisfactory (2)
You know concepts related to algorithms and their implementation. You know the most common linear data structures. You know how to implement an algorithm with some data structure. You can evaluate the implementation of a simple algorithm.

Assessment criteria, good (3)

Good (3)
You know the key concepts related to algorithms and their implementation. You are familiar with the most central abstract data structures. You can implement the algorithm with the selected data structure. You know how to evaluate algorithm implementation and measure efficiency.

Very good (4)
You know the concepts related to algorithms and their implementation. You are familiar with the operating principles of abstract data structures. You recognize the data structures that are well suited to the implementation of the algorithm. You can analyze the implementation and efficiency of the algorithm.

Assessment criteria, excellent (5)

Excellent (5)
You know the concepts related to algorithms and their implementation. You can recommend abstract data structures suitable for the problem. You know how to choose the data structures best suited to the implementation of the algorithm. You know how to analyze the implementation of the algorithm and, if necessary, improve its efficiency.

Qualifications

Basics of Programming

Further information

The evaluation is based on a set of the following assignment types:

- Assignments
- Practice Work

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