Algorithmic problem solving (5 cr)
Code: TK00EC63-3003
General information
- Enrollment
-
08.04.2024 - 21.04.2024
Registration for the implementation has ended.
- Timing
-
26.08.2024 - 31.12.2024
Implementation has ended.
- Number of ECTS credits allocated
- 5 cr
- Local portion
- 5 cr
- RDI portion
- 2 cr
- Mode of delivery
- Contact learning
- Unit
- Department of Information Technology
- 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
- Course
- TK00EC63
Realization has 15 reservations. Total duration of reservations is 55 h 30 min.
| Time | Topic | Location |
|---|---|---|
|
Wed 04.09.2024 time 08:15 - 11:45 (3 h 30 min) |
Algoritminen ongelmanratkaisu TK00EC63-3003 |
B4013_uusikampus ITY
Monitoimiopetustila (40)
|
|
Wed 11.09.2024 time 08:15 - 11:45 (3 h 30 min) |
Algoritminen ongelmanratkaisu TK00EC63-3003 |
B4013_uusikampus ITY
Monitoimiopetustila (40)
|
|
Wed 18.09.2024 time 08:15 - 11:45 (3 h 30 min) |
Algoritminen ongelmanratkaisu TK00EC63-3003 |
B4013_uusikampus ITY
Monitoimiopetustila (40)
|
|
Wed 25.09.2024 time 08:15 - 11:45 (3 h 30 min) |
Algoritminen ongelmanratkaisu TK00EC63-3003 |
B4013_uusikampus ITY
Monitoimiopetustila (40)
|
|
Wed 02.10.2024 time 08:15 - 11:45 (3 h 30 min) |
Algoritminen ongelmanratkaisu TK00EC63-3003 |
Self learning
|
|
Wed 09.10.2024 time 08:15 - 11:45 (3 h 30 min) |
Algoritminen ongelmanratkaisu TK00EC63-3003 |
A4013_uusikampus
Red room (40)
|
|
Wed 16.10.2024 time 08:15 - 11:45 (3 h 30 min) |
Algoritminen ongelmanratkaisu TK00EC63-3003 |
B4013_uusikampus ITY
Monitoimiopetustila (40)
|
|
Wed 30.10.2024 time 08:15 - 11:45 (3 h 30 min) |
Algoritminen ongelmanratkaisu TK00EC63-3003 |
Self-learning
|
|
Wed 06.11.2024 time 08:15 - 11:45 (3 h 30 min) |
Algoritminen ongelmanratkaisu TK00EC63-3003 |
B4013_uusikampus ITY
Monitoimiopetustila (40)
|
|
Wed 13.11.2024 time 08:15 - 11:45 (3 h 30 min) |
Algoritminen ongelmanratkaisu TK00EC63-3003 |
A4013_uusikampus
Red room (40)
|
|
Wed 20.11.2024 time 08:15 - 11:45 (3 h 30 min) |
Algoritminen ongelmanratkaisu TK00EC63-3003 |
A4013_uusikampus
Red room (40)
|
|
Wed 27.11.2024 time 08:15 - 11:45 (3 h 30 min) |
Algoritminen ongelmanratkaisu TK00EC63-3003 |
A4013_uusikampus
Red room (40)
|
|
Wed 04.12.2024 time 08:15 - 11:45 (3 h 30 min) |
Algoritminen ongelmanratkaisu TK00EC63-3003 |
Self learning
|
|
Wed 11.12.2024 time 08:15 - 11:45 (3 h 30 min) |
Algoritminen ongelmanratkaisu TK00EC63-3003 |
Self learning
|
|
Wed 18.12.2024 time 09:00 - 15:30 (6 h 30 min) |
Algoritminen ongelmanratkaisu TK00EC63-3003 |
Support for A* project available at B4014 during the day.
|
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.
Course material
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.
Study forms and methods
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.
RDI and work-related cooperation
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.
Timing of exams and assignments
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.
International cooperation
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.
Student workload
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.