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Data Structures and Algorithms ILaajuus (5 cr)

Code: DT10060

Credits

5 op

Teaching language

  • Finnish

Responsible person

  • Mikko Anttonen

Objective

- you understand the importance of algorithms and can analyse asymptotic time complexity of simple algorithms.
- you know how to select and reason about a correct data structure (abstract data type) for an application and use the chosen structure efficiently.
- you know how to use efficiently the standard library of programming language.
- you know and you can implement most common abstract data types, list, tree, and set.
- you know how to search, select, and apply a proper algorithm for given problem.
- you know the most common data structures.
- you know how data structures can be implemented in different programming languages.
- you know the principle of recursion and you can implement a recursive algorithm.

Content

- Algorithms and running time analysis.
- Abstract data types.
- Implementing data structures.
- Searching and sorting algorithms.
- Simple recursive algorithms.

Further information

Prerequisites: Programming I and III, or similar skills. Recommended Programming II, or similar skills.

Enrollment

01.04.2024 - 31.08.2024

Timing

02.09.2024 - 25.10.2024

Number of ECTS credits allocated

5 op

Mode of delivery

Contact teaching

Teaching languages
  • Finnish
Degree programmes
  • Degree Programme in Business Information Technology
Teachers
  • Mikko Anttonen
Teacher in charge

Mikko Anttonen

Groups
  • DTNS23
    Information Technology (BBA), Full-time Studies, Fall, 2023

Objective

- you understand the importance of algorithms and can analyse asymptotic time complexity of simple algorithms.
- you know how to select and reason about a correct data structure (abstract data type) for an application and use the chosen structure efficiently.
- you know how to use efficiently the standard library of programming language.
- you know and you can implement most common abstract data types, list, tree, and set.
- you know how to search, select, and apply a proper algorithm for given problem.
- you know the most common data structures.
- you know how data structures can be implemented in different programming languages.
- you know the principle of recursion and you can implement a recursive algorithm.

Content

- Algorithms and running time analysis.
- Abstract data types.
- Implementing data structures.
- Searching and sorting algorithms.
- Simple recursive algorithms.

Evaluation scale

H-5

Further information

Prerequisites: Programming I and III, or similar skills. Recommended Programming II, or similar skills.

Enrollment

01.04.2023 - 15.04.2023

Timing

06.09.2023 - 27.10.2023

Number of ECTS credits allocated

5 op

Virtual portion

5 op

Mode of delivery

Distance learning

Campus

Wärtsilä Campus Karjalankatu 3

Teaching languages
  • Finnish
Seats

1 - 100

Degree programmes
  • Degree Programme in Business Information Technology
Teachers
  • Mikko Anttonen
Teacher in charge

Mikko Anttonen

Groups
  • DTNS22
    Information Technology (BBA), Full-time Studies, Fall, 2022

Objective

- you understand the importance of algorithms and can analyse asymptotic time complexity of simple algorithms.
- you know how to select and reason about a correct data structure (abstract data type) for an application and use the chosen structure efficiently.
- you know how to use efficiently the standard library of programming language.
- you know and you can implement most common abstract data types, list, tree, and set.
- you know how to search, select, and apply a proper algorithm for given problem.
- you know the most common data structures.
- you know how data structures can be implemented in different programming languages.
- you know the principle of recursion and you can implement a recursive algorithm.

Content

- Algorithms and running time analysis.
- Abstract data types.
- Implementing data structures.
- Searching and sorting algorithms.
- Simple recursive algorithms.

Evaluation scale

H-5

Further information

Prerequisites: Programming I and III, or similar skills. Recommended Programming II, or similar skills.