Skip to main content

Mathematics of Computer Science (3cr)

Code: CQ00CW43-3003

General information


Enrollment
11.11.2024 - 15.01.2025
Registration for the implementation has ended.
Timing
07.01.2025 - 23.02.2025
Implementation has ended.
Number of ECTS credits allocated
3 cr
Local portion
3 cr
Mode of delivery
Contact learning
Unit
SeAMK Automation Engineering and Information Technology
Campus
SeAMK Seinäjoki, Frami
Teaching languages
Finnish
Degree programmes
Bachelor of Engineering, Information Technology
Teachers
Pasi Mikkonen
Groups
TITE23
Bachelor of Engineering, Information Technology
Course
CQ00CW43

Evaluation scale

1-5

Objective

Students will be able to use the mathematical methods described in the course contents to solve practical mathematical problems. Student can use mathematical libraries of Python programming language. Student knows the basics of probability, statistics and data-analysis.

Content

Basics of python libraries numpy, matplotlib and pandas.
Basics of probability and statistics.
Basics of data-analysis.

Materials

to be announced at the beginning of the course

Teaching methods

lectures, independent study

Student workload

81h

Assessment criteria, satisfactory (1)

Student can use mathematical libraries of Python programming language. Student knows the basics of probability, statistics.

Assessment criteria, good (3)

Students will be able to use the mathematical methods described in the course contents to solve practical mathematical problems. Student can use mathematical libraries of Python programming language. Student knows the basics of probability, statistics and data-analysis.

Assessment criteria, excellent (5)

Students will be able to use the mathematical methods described in the course contents to solve practical mathematical problems. Student can use mathematical libraries of Python programming language efficiently. Student knows the basics of probability, statistics and data-analysis well.

Qualifications

Algebra and trigonometry, Vectors and matrices, Differential and integral calculus

Further information

80% attendance in lectures and exercises

Go back to top of page