Data Structures and Algorithms (5 cr)
Code: TX00EW61-3001
General information
- Enrollment
-
01.01.2020
Registration for the implementation has ended.
- Timing
-
18.03.2024 - 31.05.2024
Implementation has ended.
- Number of ECTS credits allocated
- 5 cr
- Mode of delivery
- On-campus
- Unit
- (2019-2024) School of ICT
- Campus
- Karaportti 2
- Teaching languages
- English
- Seats
- 0 - 30
- Teachers
- Peyman Arian
- Teacher in charge
- Ville Jääskeläinen
- Groups
-
LT6423SProfessional Development Program in Information Technology
- Course
- TX00EW61
Implementation has 14 reservations. Total duration of reservations is 23 h 0 min.
| Time | Topic | Location |
|---|---|---|
|
Mon 18.03.2024 time 09:00 - 12:00 (3 h 0 min) |
Tietorakenteet ja algoritmit TX00EW61-3001 |
KMC592
Digitila
|
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Mon 18.03.2024 time 12:30 - 14:00 (1 h 30 min) |
Data Structures and Algorithms TX00EW61-3001 |
KMD758
Oppimistila
|
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Wed 20.03.2024 time 12:30 - 14:00 (1 h 30 min) |
Data Structures and Algorithms TX00EW61-3001 |
KMC565
Digitila
|
|
Mon 25.03.2024 time 12:30 - 14:00 (1 h 30 min) |
Data Structures and Algorithms TX00EW61-3001 |
KMC565
Digitila
|
|
Wed 27.03.2024 time 12:30 - 14:00 (1 h 30 min) |
Data Structures and Algorithms TX00EW61-3001 |
KMC565
Digitila
|
|
Wed 03.04.2024 time 12:30 - 14:00 (1 h 30 min) |
Data Structures and Algorithms TX00EW61-3001 |
KMC565
Digitila
|
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Mon 08.04.2024 time 12:30 - 14:00 (1 h 30 min) |
Data Structures and Algorithms TX00EW61-3001 |
KMC565
Digitila
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Wed 10.04.2024 time 12:30 - 14:00 (1 h 30 min) |
Data Structures and Algorithms TX00EW61-3001 |
KMC565
Digitila
|
|
Mon 15.04.2024 time 12:30 - 14:00 (1 h 30 min) |
Data Structures and Algorithms TX00EW61-3001 |
KMC565
Digitila
|
|
Wed 17.04.2024 time 12:30 - 14:00 (1 h 30 min) |
Data Structures and Algorithms TX00EW61-3001 |
KMC565
Digitila
|
|
Mon 22.04.2024 time 12:30 - 14:00 (1 h 30 min) |
Data Structures and Algorithms TX00EW61-3001 |
KMC565
Digitila
|
|
Wed 24.04.2024 time 12:30 - 14:00 (1 h 30 min) |
Data Structures and Algorithms TX00EW61-3001 |
KMC565
Digitila
|
|
Mon 29.04.2024 time 12:30 - 14:00 (1 h 30 min) |
Data Structures and Algorithms TX00EW61-3001 |
KMC565
Digitila
|
|
Mon 13.05.2024 time 11:30 - 13:30 (2 h 0 min) |
Exam: Data Structures and Algorithms TX00EW61-3001 |
KMC565
Digitila
|
Objective
The student is familiar with the most common data structures and some of the key algorithms used in data processing. The student has a practical feel for the design and computational complexity of algorithms. In addition, the student is familiar with the ready-made data structure implementations offered by libraries in one of the programming languages.
Content
- Abstract data type: interface and implementation
- Iterativeness vs. recursivity
- Time and space requirements
- Linked lists
- Stack and queue
- Trees
- Graphs
- Search techniques
- Sorting algorithms
- Algorithm types
- General purpose data structure libraries (list, map, set)
Evaluation scale
0-5
Assessment criteria, satisfactory (1)
The student has achieved the course objectives fairly. The student will be able to identify, define and use the course subject area’s concepts and models. The student has completed the required learning exercises in minimum requirement level.
Assessment criteria, good (3)
The student has achieved the course objectives well, even though the knowledge and skills need improvement on some areas. The student has completed the required learning exercises in good or satisfactory level. The student is able to define the course concepts and models and is able to justify the analysis.
Assessment criteria, excellent (5)
The student has achieved the objectives of the course with excellent marks. The student master commendably the course subject area’s concepts and models. The student has completed the required learning exercises in good or excellent level. The student is able to make justified and fluent analysis.
Assessment criteria, approved/failed
The student has achieved the course objectives. The student will be able to identify, define and use the course subject area’s concepts and models. The student has completed the required learning exercises.
Qualifications
C++ Programming, Game Mathematics.