Data Structures and Algorithms Project (5 cr)

Code: TX00EX66-3002

General information

Enrollment: 02.12.2024 - 14.01.2025
Registration for the implementation has ended.

Timing: 13.01.2025 - 16.03.2025
Implementation has ended.

Number of ECTS credits allocated: 5 cr

Local portion: 5 cr

Mode of delivery: On-campus

Unit: (2019-2024) School of ICT

Campus: Karaportti 2

Teaching languages: English

Seats: 0 - 35

Degree programmes: Degree Programme in Information Technology

Teachers: Jarkko Vuori

Groups: ICT23-G
Game Development; tivivaihto_k25
Tivi-vaihto, kevät 2025

Course: TX00EX66

Implementation has 16 reservations. Total duration of reservations is 48 h 0 min.

Time	Topic	Location
Mon 13.01.2025 time 13:00 - 16:00 (3 h 0 min)	Data Structures and Algorithms Project TX00EX66-3002	KME761 Oppimistila
Tue 14.01.2025 time 13:00 - 16:00 (3 h 0 min)	Data Structures and Algorithms Project TX00EX66-3002	KME761 Oppimistila
Mon 20.01.2025 time 13:00 - 16:00 (3 h 0 min)	Data Structures and Algorithms Project TX00EX66-3002	KME761 Oppimistila
Tue 21.01.2025 time 13:00 - 16:00 (3 h 0 min)	Data Structures and Algorithms Project TX00EX66-3002	KME761 Oppimistila
Mon 27.01.2025 time 13:00 - 16:00 (3 h 0 min)	Data Structures and Algorithms Project TX00EX66-3002	KME761 Oppimistila
Tue 28.01.2025 time 13:00 - 16:00 (3 h 0 min)	Data Structures and Algorithms Project TX00EX66-3002	KME761 Oppimistila
Mon 03.02.2025 time 13:00 - 16:00 (3 h 0 min)	Data Structures and Algorithms Project TX00EX66-3002	KME761 Oppimistila
Tue 04.02.2025 time 13:00 - 16:00 (3 h 0 min)	Data Structures and Algorithms Project TX00EX66-3002	KME761 Oppimistila
Mon 10.02.2025 time 13:00 - 16:00 (3 h 0 min)	Data Structures and Algorithms Project TX00EX66-3002	KME761 Oppimistila
Tue 11.02.2025 time 13:00 - 16:00 (3 h 0 min)	Data Structures and Algorithms Project TX00EX66-3002	KME761 Oppimistila
Mon 24.02.2025 time 13:00 - 16:00 (3 h 0 min)	Data Structures and Algorithms Project TX00EX66-3002	KME761 Oppimistila
Tue 25.02.2025 time 13:00 - 16:00 (3 h 0 min)	Data Structures and Algorithms Project TX00EX66-3002	KME761 Oppimistila
Mon 03.03.2025 time 13:00 - 16:00 (3 h 0 min)	Data Structures and Algorithms Project TX00EX66-3002	KME761 Oppimistila
Tue 04.03.2025 time 13:00 - 16:00 (3 h 0 min)	Data Structures and Algorithms Project TX00EX66-3002	KME761 Oppimistila
Mon 10.03.2025 time 13:00 - 16:00 (3 h 0 min)	Data Structures and Algorithms Project TX00EX66-3002	KME761 Oppimistila
Tue 11.03.2025 time 13:00 - 16:00 (3 h 0 min)	Data Structures and Algorithms Project TX00EX66-3002	KME761 Oppimistila

Changes to reservations may be possible.

Objective

Student is able to implement a project requiring design and implementation of non-trivial data structures and algorithms. He/she is able to analyze and compare different algorithmic solutions, in terms of memory and time requirements. He/she is is able to utilize classis AI algorithms.

Content

- data structures
- algorithms
- project planning and implementation
- time and space requirements
- AI algorithms

Evaluation scale

0-5

Assessment criteria, satisfactory (1)

Student has achieved the course objectives fairly. Student will be able to identify, define and use the course subject area’s concepts and models. Student understands the criteria and principles of the expertise development.

Assessment criteria, good (3)

Student has achieved the course objectives well, even though the knowledge and skills need improvement on some areas. Student is able to define the course concepts and models and is able to justify the analysis. Student is able to apply his/her knowledge in study and work situations. Student understands the importance of expertise in the field of information and communication technology and is able to analyze his/her own expertise.

Assessment criteria, excellent (5)

Student has achieved the objectives of the course with excellent marks. Student masters commendably the course subject area’s concepts and models. Student is able to make justified and fluent analysis and to present concrete development measures. Student is well prepared to apply his/her knowledge in study and work situations. Student is able to analyze expertise in the information and communication technology sector and the development of his/her own expertise.