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
-
TITE23Bachelor 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