Network and tree structuresLaajuus (3 cr)
Code: TT00CC62
Credits
3 op
Teaching language
- Finnish
Objective
After completing the course, the student will master the basics of tree and network structures and the algorithms used in connection with them. In addition to theoretical understanding, the student is able to apply tree and network structures to solve practical problems.
Content
- Review: Search algorithms in trees and networks
- Game theory
- Design Algorithms
- Reinforcement learning
Assessment criteria, excellent (5)
The student controls and understands the theoretical basis of all the methods covered in the course, in addition to fluently applying the techniques to solve practical problems. The student has also returned the required assignments on time.
Assessment criteria, good (3)
The student understands the main features of the theoretical basis of the methods covered in the course and is able to apply most of them to solving practical problems. The student has returned the majority (70%) of the required assignments on time.
Assessment criteria, satisfactory (1)
The student has a superficial knowledge of the theoretical basis of the methods covered in the course and is able to apply some of the techniques to solving practical problems. The student has returned part (50%) of the required assignments on time.
Enrollment
02.07.2025 - 31.07.2025
Timing
01.08.2025 - 31.12.2025
Number of ECTS credits allocated
3 op
Mode of delivery
Contact teaching
Unit
Teknologia
Teaching languages
- Finnish
Degree programmes
- Bachelor’s Degree in Information and Communication Technology
Teachers
- Mikko Romppainen
Groups
-
TTM24SAITTM24SAI
Objective
After completing the course, the student will master the basics of tree and network structures and the algorithms used in connection with them. In addition to theoretical understanding, the student is able to apply tree and network structures to solve practical problems.
Content
- Review: Search algorithms in trees and networks
- Game theory
- Design Algorithms
- Reinforcement learning
Evaluation scale
0 - 5
Assessment criteria, excellent (5)
The student controls and understands the theoretical basis of all the methods covered in the course, in addition to fluently applying the techniques to solve practical problems. The student has also returned the required assignments on time.
Assessment criteria, good (3)
The student understands the main features of the theoretical basis of the methods covered in the course and is able to apply most of them to solving practical problems. The student has returned the majority (70%) of the required assignments on time.
Assessment criteria, satisfactory (1)
The student has a superficial knowledge of the theoretical basis of the methods covered in the course and is able to apply some of the techniques to solving practical problems. The student has returned part (50%) of the required assignments on time.
Prerequisites
Data structures and algorithms
Enrollment
19.08.2024 - 22.09.2024
Timing
01.08.2024 - 31.12.2024
Number of ECTS credits allocated
3 op
Mode of delivery
Contact teaching
Unit
Teknologia
Teaching languages
- Finnish
Degree programmes
- Bachelor’s Degree in Information and Communication Technology
Teachers
- Mikko Romppainen
Groups
-
TTM23SAITTM23SAI
Objective
After completing the course, the student will master the basics of tree and network structures and the algorithms used in connection with them. In addition to theoretical understanding, the student is able to apply tree and network structures to solve practical problems.
Content
- Review: Search algorithms in trees and networks
- Game theory
- Design Algorithms
- Reinforcement learning
Evaluation scale
0 - 5
Assessment criteria, excellent (5)
The student controls and understands the theoretical basis of all the methods covered in the course, in addition to fluently applying the techniques to solve practical problems. The student has also returned the required assignments on time.
Assessment criteria, good (3)
The student understands the main features of the theoretical basis of the methods covered in the course and is able to apply most of them to solving practical problems. The student has returned the majority (70%) of the required assignments on time.
Assessment criteria, satisfactory (1)
The student has a superficial knowledge of the theoretical basis of the methods covered in the course and is able to apply some of the techniques to solving practical problems. The student has returned part (50%) of the required assignments on time.
Prerequisites
Data structures and algorithms
Enrollment
01.08.2023 - 30.09.2023
Timing
01.08.2023 - 29.10.2023
Number of ECTS credits allocated
3 op
Mode of delivery
Contact teaching
Unit
Teknologia
Teaching languages
- Finnish
Degree programmes
- Bachelor’s Degree in Information and Communication Technology
Teachers
- Mikko Romppainen
Groups
-
TTV22SAITTV22SAI
Objective
After completing the course, the student will master the basics of tree and network structures and the algorithms used in connection with them. In addition to theoretical understanding, the student is able to apply tree and network structures to solve practical problems.
Content
- Review: Search algorithms in trees and networks
- Game theory
- Design Algorithms
- Reinforcement learning
Evaluation scale
0 - 5
Assessment criteria, excellent (5)
The student controls and understands the theoretical basis of all the methods covered in the course, in addition to fluently applying the techniques to solve practical problems. The student has also returned the required assignments on time.
Assessment criteria, good (3)
The student understands the main features of the theoretical basis of the methods covered in the course and is able to apply most of them to solving practical problems. The student has returned the majority (70%) of the required assignments on time.
Assessment criteria, satisfactory (1)
The student has a superficial knowledge of the theoretical basis of the methods covered in the course and is able to apply some of the techniques to solving practical problems. The student has returned part (50%) of the required assignments on time.
Prerequisites
Data structures and algorithms
Enrollment
01.08.2023 - 30.09.2023
Timing
01.08.2023 - 31.12.2023
Number of ECTS credits allocated
3 op
Mode of delivery
Contact teaching
Unit
Teknologia
Teaching languages
- Finnish
Degree programmes
- Bachelor’s Degree in Information and Communication Technology
Teachers
- Mikko Romppainen
Groups
-
TTM22SAITTM22SAI
Objective
After completing the course, the student will master the basics of tree and network structures and the algorithms used in connection with them. In addition to theoretical understanding, the student is able to apply tree and network structures to solve practical problems.
Content
- Review: Search algorithms in trees and networks
- Game theory
- Design Algorithms
- Reinforcement learning
Evaluation scale
0 - 5
Assessment criteria, excellent (5)
The student controls and understands the theoretical basis of all the methods covered in the course, in addition to fluently applying the techniques to solve practical problems. The student has also returned the required assignments on time.
Assessment criteria, good (3)
The student understands the main features of the theoretical basis of the methods covered in the course and is able to apply most of them to solving practical problems. The student has returned the majority (70%) of the required assignments on time.
Assessment criteria, satisfactory (1)
The student has a superficial knowledge of the theoretical basis of the methods covered in the course and is able to apply some of the techniques to solving practical problems. The student has returned part (50%) of the required assignments on time.
Prerequisites
Data structures and algorithms