Mathematics of Computer Science (3cr)

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.

Location and time

The schedules can be found in the timetable at https://lukkarikone.seamk.fi/. Timetables are published for the next six weeks. The first six weeks of autumn are published by Midsummer and the first six weeks of spring by Christmas. Timetables may be subject to changes.

Materials

To be announced at the beginning of the course.

Teaching methods

The study involves contact teaching and requires attendance at the SEAMK campus.

Student workload

The workload of the study is designed so that one credit corresponds to an average of 27 hours of student work to achieve the learning objectives. The actual time required varies individually, e.g., due to prior knowledge.

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