Mathematics of Computer ScienceLaajuus (3 cr)
Code: CQ00CW43
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.
Qualifications
Algebra and trigonometry, Vectors and matrices, Differential and integral calculus
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.
Enrollment
13.11.2023 - 17.01.2024
Timing
08.01.2024 - 25.02.2024
Credits
3 op
Teaching languages
- Finnish
Degree programmes
- Bachelor of Engineering, Information Technology
Teachers
- Pasi Mikkonen
Student groups
-
TITE22
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
Evaluation scale
1-5
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.
Assessment methods and criteria
Exercises
Qualifications
Algebra and trigonometry, Vectors and matrices, Differential and integral calculus
Enrollment
14.11.2022 - 22.02.2023
Timing
06.03.2023 - 30.04.2023
Credits
3 op
Teaching languages
- Finnish
Degree programmes
- Bachelor of Engineering, Information Technology
Teachers
- Pasi Mikkonen
Student groups
-
TITE21
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
lectures 32h
Evaluation scale
1-5
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.
Assessment methods and criteria
Exercises
Qualifications
Algebra and trigonometry, Vectors and matrices, Differential and integral calculus