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Data Structures and Algorithms IILaajuus (4 cr)

Code: LTD7005

Credits

4 op

Teaching language

  • Finnish

Responsible person

  • Seppo Nevalainen
  • Mikko Anttonen

Objective

After completing the course:
- Student knows how to analyse asymptotic time complexity of algorithms, including recursive algorithms.
- Student can measure and extrapolate running real time of programs.
- Student understands basic concepts of graphs, graph properties and graphs as abstract data types.
- Student understands elementary graph algorithms and is able to design, implement, and analyse simple graph algorithms.
- Student knows elementary algorithm strategies and is able to apply those.
- Student knows how to use mass storage efficiently and is able to analyse running time of algorithms using mass storage.

Content

- Algorithms and running time analysis.
- Experimental time complexity analysis.
- Graphs, graph algorithms, and applying graph algorithms.
- Using mass storage efficiently.

Qualifications

Data Structures and Algorithms I, or similar skills.

Materials

Thomas H. Cormen, Charles E. Leiserson, Ronald L. Rivest, Clifford Stein: Introduction to Algorithms, 3rd Ed. The MIT Press, 2009. Lecture notes.

Enrollment

01.04.2022 - 30.04.2022

Timing

24.10.2022 - 14.12.2022

Number of ECTS credits allocated

4 op

Mode of delivery

Contact teaching

Campus

Wärtsilä Campus Karjalankatu 3

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

Mikko Anttonen

Groups
  • DTNS21
    Information Technology (BBA), Full-time Studies, Fall, 2021

Objective

After completing the course:
- Student knows how to analyse asymptotic time complexity of algorithms, including recursive algorithms.
- Student can measure and extrapolate running real time of programs.
- Student understands basic concepts of graphs, graph properties and graphs as abstract data types.
- Student understands elementary graph algorithms and is able to design, implement, and analyse simple graph algorithms.
- Student knows elementary algorithm strategies and is able to apply those.
- Student knows how to use mass storage efficiently and is able to analyse running time of algorithms using mass storage.

Content

- Algorithms and running time analysis.
- Experimental time complexity analysis.
- Graphs, graph algorithms, and applying graph algorithms.
- Using mass storage efficiently.

Evaluation scale

H-5

Qualifications

Data Structures and Algorithms I, or similar skills.

Enrollment

01.10.2021 - 31.10.2021

Timing

10.01.2022 - 18.03.2022

Number of ECTS credits allocated

4 op

Mode of delivery

Contact teaching

Campus

Wärtsilä Campus Karjalankatu 3

Teaching languages
  • Finnish
Seats

1 - 60

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

Mikko Anttonen

Groups
  • LTDNS20I
    Information Technology (BBA), Full-time Studies, Fall, 2020, ICT

Objective

After completing the course:
- Student knows how to analyse asymptotic time complexity of algorithms, including recursive algorithms.
- Student can measure and extrapolate running real time of programs.
- Student understands basic concepts of graphs, graph properties and graphs as abstract data types.
- Student understands elementary graph algorithms and is able to design, implement, and analyse simple graph algorithms.
- Student knows elementary algorithm strategies and is able to apply those.
- Student knows how to use mass storage efficiently and is able to analyse running time of algorithms using mass storage.

Content

- Algorithms and running time analysis.
- Experimental time complexity analysis.
- Graphs, graph algorithms, and applying graph algorithms.
- Using mass storage efficiently.

Evaluation scale

H-5

Qualifications

Data Structures and Algorithms I, or similar skills.