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Programming and problem solvingLaajuus (5 cr)

Code: OT00EJ94

Credits

5 op

Objective

You know the basics of information processing.
You know the principles of both creative and algorithmic problem solving, and how to apply them.
You understand how logic and discrete mathematics relate to computing, and what limitations there are with computational problem solving.
You understand what algorithmic complexity means.
You understand the principles of programmatic problem solving, and what problems are suitable for automatization.
You know how to develop solutions for classic information processing problems, such as playing games, route finding or data representation.

Content

What professional terms are related to information processing and problem solving?
What is algorithmic problem solving?
What factors are related to the design of algorithms?
How do you take into account the principles of mathematics and physics related to computing?

Enrollment

14.08.2024 - 08.09.2024

Timing

01.08.2024 - 31.12.2024

Number of ECTS credits allocated

5 op

Mode of delivery

Contact teaching

Unit

Department of Information Technology

Campus

Mikkeli Campus

Teaching languages
  • Finnish
Degree programmes
  • Degree programme in software engineering
Teachers
  • Tuomas Reijonen
Teacher in charge

Tuomas Reijonen

Groups
  • OTMI24SP
    Software Engineering, full-time studies

Objective

You know the basics of information processing.
You know the principles of both creative and algorithmic problem solving, and how to apply them.
You understand how logic and discrete mathematics relate to computing, and what limitations there are with computational problem solving.
You understand what algorithmic complexity means.
You understand the principles of programmatic problem solving, and what problems are suitable for automatization.
You know how to develop solutions for classic information processing problems, such as playing games, route finding or data representation.

Content

What professional terms are related to information processing and problem solving?
What is algorithmic problem solving?
What factors are related to the design of algorithms?
How do you take into account the principles of mathematics and physics related to computing?

Evaluation scale

1-5

Enrollment

21.08.2023 - 01.09.2023

Timing

04.09.2023 - 15.12.2023

Number of ECTS credits allocated

5 op

Mode of delivery

Contact teaching

Unit

Department of Information Technology

Campus

Mikkeli Campus

Teaching languages
  • Finnish
Seats

20 - 40

Degree programmes
  • Ohjelmistotekniikan koulutus
Teachers
  • Tuomas Reijonen
Teacher in charge

Tuomas Reijonen

Groups
  • OTMI23SP
    Software Engineering, full-time studies

Objective

You know the basics of information processing.
You know the principles of both creative and algorithmic problem solving, and how to apply them.
You understand how logic and discrete mathematics relate to computing, and what limitations there are with computational problem solving.
You understand what algorithmic complexity means.
You understand the principles of programmatic problem solving, and what problems are suitable for automatization.
You know how to develop solutions for classic information processing problems, such as playing games, route finding or data representation.

Content

What professional terms are related to information processing and problem solving?
What is algorithmic problem solving?
What factors are related to the design of algorithms?
How do you take into account the principles of mathematics and physics related to computing?

Opiskelumateriaali

Sovitaan opintojakson alussa

Yksilölliset oppimisväylät

Sovitaan opintojakson alussa

TKI ja työelämäyhteistyö

No

Tentit ja muut määräajat

Sovitaan opintojakson alussa

Evaluation scale

1-5

Enrollment

22.08.2022 - 28.08.2022

Timing

29.08.2022 - 16.12.2022

Number of ECTS credits allocated

5 op

Mode of delivery

Contact teaching

Unit

Department of Information Technology

Campus

Mikkeli Campus

Teaching languages
  • Finnish
Seats

20 - 30

Degree programmes
  • Degree programme in software engineering
Teachers
  • Reijo Vuohelainen
Teacher in charge

Reijo Vuohelainen

Groups
  • OTMI22SP
    Software Engineering, full-time studies

Objective

You know the basics of information processing.
You know the principles of both creative and algorithmic problem solving, and how to apply them.
You understand how logic and discrete mathematics relate to computing, and what limitations there are with computational problem solving.
You understand what algorithmic complexity means.
You understand the principles of programmatic problem solving, and what problems are suitable for automatization.
You know how to develop solutions for classic information processing problems, such as playing games, route finding or data representation.

Content

What professional terms are related to information processing and problem solving?
What is algorithmic problem solving?
What factors are related to the design of algorithms?
How do you take into account the principles of mathematics and physics related to computing?

Opiskelumateriaali

Boberg, J. Johdatus tietojenkäsittelytieteeseen
Brookshear J. G. & Brylow D. Computer Science - An overview, 13th Edition, Pearson, 2018
Kasurinen, J. P. Outoa ohjelmointia. Docendo, 2016.
Other material collected in the Learn platform.

Yksilölliset oppimisväylät

Scheduled track: Teaching and guidance sessions as specified in the weekly schedule. You will complete course assignments and practical assignments, and complete a final exam.

TKI ja työelämäyhteistyö

No

Evaluation scale

1-5