logo
Item card
logo

Higher Mathematics (in English)

Some basic information about the module

Cycle of education: 2018/2019

The name of the faculty organization unit: The faculty Mathematics and Applied Physics

The name of the field of study: Mathematics

The area of study: sciences

The profile of studing:

The level of study: second degree study

Type of study: full time

discipline specialities : Applications of Mathematics in Computer Science, Applications of Mathematics in Economics

The degree after graduating from university:

The name of the module department : Department of Mathematics

The code of the module: 4054

The module status: mandatory for teaching programme with the posibility of choice Applications of Mathematics in Economics

The position in the studies teaching programme: sem: 2 / C30 / 2 ECTS / Z

The language of the lecture: English

The name of the coordinator: Nicholas Sedlmayr, PhD

The aim of studying and bibliography

The main aim of study: Knowledge of the mathematical terminology of Linear Algebra

The general information about the module: Classes in mathematics in English

Bibliography required to complete the module
Bibliography used during classes/laboratories/others
1 Frank M. Stewart. Introduction to linear algebra .

Basic requirements in category knowledge/skills/social competences

Formal requirements: A student has primary knowledge of English (B2)

Basic requirements in category knowledge:

Basic requirements in category skills:

Basic requirements in category social competences:

Module outcomes

MEK The student who completed the module Types of classes / teaching methods leading to achieving a given outcome of teaching Methods of verifying every mentioned outcome of teaching Relationships with KEK Relationships with OEK
01 Student obtains knowledge of the English terminology used in linear algebra classes Written and oral tests K_W13+++
K_K01++
K_K06+++
X2A_W06
X2A_U07
X2A_K01
02 Student obtains ability to read a simple mathematical text written in English Classes Control of written and oral tests K_W13+++
K_U02++
X2A_W06
X2A_U03
X2A_U05
03 Student obtains ability to translate a simple mathematical text from Polish to English Classes Control of written and oral tests K_W13++
K_U02++
K_K07+
X2A_W06
X2A_U03
X2A_U05
X2A_K06
04 Student obtains ability to comprehend scientific mathematical text written in English Classes Control of written and oral tests K_W13++
K_K07+
X2A_W06
X2A_K06

Attention: Depending on the epidemic situation, verification of the achieved learning outcomes specified in the study program, in particular credits and examinations at the end of specific classes, can be implemented remotely (real-time meetings).

The syllabus of the module

Sem. TK The content realized in MEK
2 TK01 Basic definitions and theorems of matrices. C01, C02, C03 MEK01 MEK02 MEK03 MEK04
2 TK02 Vector Spaces C04, C05, C06 MEK01 MEK02 MEK03 MEK04
2 TK03 Inner product spaces C07, C08, C09 MEK01 MEK02 MEK03 MEK04
2 TK04 Eigenvalues and eigenvectors C10, C11, C12, C13 MEK01 MEK02 MEK03 MEK04
2 TK05 Linear transformations C14, C15 MEK01 MEK02 MEK03 MEK04

The student's effort

The type of classes The work before classes The participation in classes The work after classes
Class (sem. 2) The preparation for a Class: 10.00 hours/sem.
The preparation for a test: 5.00 hours/sem.
contact hours: 30.00 hours/sem.
Finishing/Studying tasks: 5.00 hours/sem.
Advice (sem. 2)
Credit (sem. 2)

The way of giving the component module grades and the final grade

The type of classes The way of giving the final grade
Class The final mark is the mean of marks obtained for oral and written tests
The final grade The final mark is the mark for knowledge obtained in classes

Sample problems

Required during the exam/when receiving the credit
(-)

Realized during classes/laboratories/projects
(-)

Others
(-)

Can a student use any teaching aids during the exam/when receiving the credit : no

The contents of the module are associated with the research profile: no