Data Structures and Algorithms (3 cr)
Code: KTVP054-3011
General information
Enrollment
01.12.2023 - 31.01.2024
Timing
01.01.2024 - 12.03.2024
Number of ECTS credits allocated
3 op
Mode of delivery
Contact teaching
Unit
Teknologia
Teaching languages
- English
Degree programmes
- Bachelor’s Degree in Business Information Technology
Teachers
- Mika Sorsa
Groups
-
TTK22SPOTTK22SPO
- 09.01.2024 12:30 - 15:45, Data Structures and Algorithms KTVP054-3011
- 16.01.2024 12:30 - 15:45, Data Structures and Algorithms KTVP054-3011
- 23.01.2024 12:30 - 15:45, Data Structures and Algorithms KTVP054-3011
- 30.01.2024 12:30 - 15:45, Data Structures and Algorithms KTVP054-3011
- 06.02.2024 12:30 - 15:45, Data Structures and Algorithms KTVP054-3011
- 13.02.2024 12:30 - 15:45, Data Structures and Algorithms KTVP054-3011
- 20.02.2024 12:30 - 15:45, Data Structures and Algorithms KTVP054-3011
- 27.02.2024 12:30 - 15:45, Data Structures and Algorithms KTVP054-3011
- 12.03.2024 12:30 - 15:45, Data Structures and Algorithms KTVP054-3011
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++