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
08.04.2024 - 21.04.2024
Timing
01.08.2024 - 31.12.2024
Number of ECTS credits allocated
5 op
Mode of delivery
Contact teaching
Campus
Mikkeli Campus
Teaching languages
- Finnish
Degree programmes
- Degree programme in software engineering
Teachers
- Tuomas Reijonen
Teacher in charge
Tuomas Reijonen
Groups
-
OTMI24SPSoftware 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
Campus
Mikkeli Campus
Teaching languages
- Finnish
Seats
20 - 40
Degree programmes
- Ohjelmistotekniikan koulutus
Teachers
- Tuomas Reijonen
Teacher in charge
Tuomas Reijonen
Groups
-
OTMI23SPSoftware 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?
Employer connections
No
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
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
-
OTMI22SPSoftware 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?
Materials
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.
Teaching methods
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.
Employer connections
No
Evaluation scale
1-5