Study Guide

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

Further information

80% attendance in lectures and exercises

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+exam

Qualifications

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