Study Guide

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