Data Structures and Algorithms (3 cr)

Code: KTVP054-3014

General information

Enrollment: 30.12.2024 - 26.01.2025
Registration for the implementation has ended.

Timing: 01.01.2025 - 31.07.2025
Implementation is running.

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: TTK23SPO
TTK23SPO; TTK23SP
TTK23SP

Course: KTVP054

Realization has 10 reservations. Total duration of reservations is 29 h 0 min.

Time	Topic	Location
Mon 20.01.2025 time 12:45 - 16:00 (3 h 15 min)	Data Structures and Algorithms KTVP054-3014	TA12L123 ML8 TA12L123 ML8
Mon 27.01.2025 time 12:45 - 16:00 (3 h 15 min)	Data Structures and Algorithms KTVP054-3014	TA12L123 ML8 TA12L123 ML8
Mon 03.02.2025 time 12:45 - 16:00 (3 h 15 min)	Data Structures and Algorithms KTVP054-3014	TA12L123 ML8 TA12L123 ML8
Mon 10.02.2025 time 12:45 - 16:00 (3 h 15 min)	Data Structures and Algorithms KTVP054-3014	TA12L123 ML8 TA12L123 ML8
Mon 17.02.2025 time 12:45 - 14:15 (1 h 30 min)	Data Structures and Algorithms KTVP054-3014	TA12L123 ML8 TA12L123 ML8
Mon 24.02.2025 time 12:45 - 16:00 (3 h 15 min)	Data Structures and Algorithms KTVP054-3014	TA12L123 ML8 TA12L123 ML8
Mon 10.03.2025 time 12:45 - 16:00 (3 h 15 min)	Data Structures and Algorithms KTVP054-3014	TA12L123 ML8 TA12L123 ML8
Tue 18.03.2025 time 08:30 - 11:45 (3 h 15 min)	Data Structures and Algorithms KTVP054-3014	TA11L151 TA11L151
Tue 25.03.2025 time 08:30 - 11:45 (3 h 15 min)	Data Structures and Algorithms KTVP054-3014	TA11L151 TA11L151
Mon 31.03.2025 time 08:30 - 10:00 (1 h 30 min)	Data Structures and Algorithms KTVP054-3014	TA11L115 DML TA11L115 DML

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++