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Data Structures and Algorithms (3 cr)

Code: KTVP054-3013

General information


Enrollment
27.09.2025 - 26.10.2025
Registration for introductions has not started yet.
Timing
27.10.2025 - 31.12.2025
The implementation has not yet started.
Number of ECTS credits allocated
3 cr
Local portion
3 cr
Mode of delivery
Contact learning
Unit
Teknologia
Teaching languages
Finnish
Degree programmes
Bachelor’s Degree in Business Information Technology
Teachers
Mika Sorsa
Groups
TTK24SPO
TTK24SPO
Course
KTVP054

Realization has 8 reservations. Total duration of reservations is 26 h 0 min.

Time Topic Location
Mon 27.10.2025 time 12:45 - 16:00
(3 h 15 min)
Data Structures and Algorithms KTVP054-3013
TA11L151 TA11L151
Mon 03.11.2025 time 12:45 - 16:00
(3 h 15 min)
Data Structures and Algorithms KTVP054-3013
TA11L151 TA11L151
Mon 10.11.2025 time 12:45 - 16:00
(3 h 15 min)
Data Structures and Algorithms KTVP054-3013
TA11L151 TA11L151
Mon 17.11.2025 time 12:45 - 16:00
(3 h 15 min)
Data Structures and Algorithms KTVP054-3013
TA11L151 TA11L151
Mon 24.11.2025 time 12:45 - 16:00
(3 h 15 min)
Data Structures and Algorithms KTVP054-3013
TA11L151 TA11L151
Mon 01.12.2025 time 12:45 - 16:00
(3 h 15 min)
Data Structures and Algorithms KTVP054-3013
TA11L151 TA11L151
Mon 08.12.2025 time 12:45 - 16:00
(3 h 15 min)
Data Structures and Algorithms KTVP054-3013
TA11L151 TA11L151
Mon 15.12.2025 time 12:45 - 16:00
(3 h 15 min)
Data Structures and Algorithms KTVP054-3013
TA11L151 TA11L151
Changes to reservations may be possible.

Objective

Students will understand the importance of utilizing common algorithms and data stuctures and know how to select the most suitable algorithm for a given task.

Content

Using the most common algorithms and data structures:
Basics of an algorithm analysis
Sorting and search algorithms
Stacks, queues and lists
Tree structures

Evaluation scale

0 - 5

Assessment criteria, excellent (5)

The students are able to apply their learning to programming different tasks in a variety of ways.

Assessment criteria, good (3)

The students are able to use the data structures and algorithms they learn during the course appropriately.

Assessment criteria, satisfactory (1)

The students know and are proficient in the basic concepts of data structures and algorithms.

Prerequisites

Programming C++

Objective

Students will understand the importance of utilizing common algorithms and data stuctures and know how to select the most suitable algorithm for a given task.

Content

Using the most common algorithms and data structures:
Basics of an algorithm analysis
Sorting and search algorithms
Stacks, queues and lists
Tree structures

Qualifications

Programming C++

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