Algorithmic problem solving (5 cr)
Code: TK00EC63-3003
General information
Enrollment
08.04.2024 - 21.04.2024
Timing
26.08.2024 - 31.12.2024
Number of ECTS credits allocated
5 op
RDI portion
2 op
Mode of delivery
Contact teaching
Unit
Informaatioteknologian koulutusyksikkö
Campus
Kotka Campus
Teaching languages
- Finnish
Seats
20 - 40
Degree programmes
- Degree Programme in Game Programming
Teachers
- Teemu Saarelainen
Teacher in charge
Teemu Saarelainen
Groups
-
POKT21SPGame programming, full-time studies
- 04.09.2024 08:15 - 11:45, Algoritminen ongelmanratkaisu TK00EC63-3003
- 11.09.2024 08:15 - 11:45, Algoritminen ongelmanratkaisu TK00EC63-3003
- 18.09.2024 08:15 - 11:45, Algoritminen ongelmanratkaisu TK00EC63-3003
- 25.09.2024 08:15 - 11:45, Algoritminen ongelmanratkaisu TK00EC63-3003
- 02.10.2024 08:15 - 11:45, Algoritminen ongelmanratkaisu TK00EC63-3003
- 09.10.2024 08:15 - 11:45, Algoritminen ongelmanratkaisu TK00EC63-3003
- 16.10.2024 08:15 - 11:45, Algoritminen ongelmanratkaisu TK00EC63-3003
- 30.10.2024 08:15 - 11:45, Algoritminen ongelmanratkaisu TK00EC63-3003
- 06.11.2024 08:15 - 11:45, Algoritminen ongelmanratkaisu TK00EC63-3003
- 13.11.2024 08:15 - 11:45, Algoritminen ongelmanratkaisu TK00EC63-3003
- 20.11.2024 08:15 - 11:45, Algoritminen ongelmanratkaisu TK00EC63-3003
- 27.11.2024 08:15 - 11:45, Algoritminen ongelmanratkaisu TK00EC63-3003
- 04.12.2024 08:15 - 11:45, Algoritminen ongelmanratkaisu TK00EC63-3003
- 11.12.2024 08:15 - 11:45, Algoritminen ongelmanratkaisu TK00EC63-3003
Objective
After completing this course you are familiar with the most common data structures and algorithms needed in programming, understand the meaning of abstract data types, implementation aspects of different data structures and usage of encapsulation and interfaces. In addition, you are able to choose suitable data structures to given problems and apply algorithms in problem solving.
Content
The course deals with algorithm analysis, running time complexity and notation, abstract data types, implementation of data structures, recursion, linear data structures, list, stack, queue and deque, tree structures, priority queue and heap, hashing, sorting, graphs, encryption and algorithmic classes.
Opiskelumateriaali
Electronic material as well as web material published on the course's Learn platform. Exercises and their model answers are also given to students during weekly exercises.
Yksilölliset oppimisväylät
Participation in contact learning according to the work schedule. The student completes the assignments, tasks and project work required in the course before the given deadlines and participates in the exam at the end of the course if it will be arranged.
Alternative methods of study must be agreed with the lecturer in charge before the beginning of the course.
TKI ja työelämäyhteistyö
During the course, students will use the most popular game engines to implement small game programming tasks and simple algorithms, which can be later utilized in different game projects and simulations.
Tentit ja muut määräajat
Exercises and assignments will be returned to the Learn platform by the deadline specified there. Possible exam schedule will be agreed upon together with the students.
Kansainvälinen yhteistyö
Possible international connections will be announced in the beginning of the course on the Learn-page and on the Teams-channel of the course when needed.
Opiskelijan työmäärä
A total of 135h, of which about 55hrs is contact learning and 80hrs is independent work.
Evaluation scale
1-5
Assessment methods and criteria
Participation in contact learning, completing course assignments and project work.