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Repetytory Course for the Diploma II

Some basic information about the module

Cycle of education: 2019/2020

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: first degree study

Type of study: full time

discipline specialities : Applications of Mathematics in Economics

The degree after graduating from university: bachelor's degree

The name of the module department : Department of Mathematics

The code of the module: 12451

The module status: mandatory for teaching programme Applications of Mathematics in Economics

The position in the studies teaching programme: sem: 6 / C30 / 2 ECTS / Z

The language of the lecture: Polish

The name of the coordinator 1: Prof. Józef Banaś, DSc, PhD

office hours of the coordinator: podane w harmonogramie pracy jednostki.

The name of the coordinator 2: Leszek Olszowy, DSc, PhD

office hours of the coordinator: podane w harmonogramie pracy jednostki.

semester 6: Rafał Nalepa, PhD

The aim of studying and bibliography

The main aim of study: Strengthening the knowledge needed to pass the final exam.

The general information about the module: This course consists of 30 hours of exercises.

Bibliography required to complete the module
Bibliography used during classes/laboratories/others
1 A. Birkholc Analiza matematyczna. Funkcje wielu zmiennych PWN, Warszawa. 2012
2 K. Kuratowski Rachunek różniczkowy i całkowy. Funkcje jednej zmiennej PWN, Warszawa. 1975
3 F. Leja Rachunek różniczkowy i całkowy PWN, Warszawa. 1975
4 M. Startek Podstawy rachunku prawdopodobieństwa z elementami statystyki matematycznej Oficyna Wydawnicza Politechniki Rzeszowskiej. 2005

Basic requirements in category knowledge/skills/social competences

Formal requirements: The student satisfies the formal requirements set out in the study regulations

Basic requirements in category knowledge: Knowledge of the maths sections presented during the semesters 1-5

Basic requirements in category skills: Student can apply the acquired knowledge to solve problems.

Basic requirements in category social competences: Ability to comprehensively present mathematical content

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 PRK
01 Is able to prepare a presentation on topics related to the basic branches of mathematics from the course of study. seminar oral presentation K_W03+
K_W04++
K_W06+
K_U01+
K_U12++
K_U16+
K_U23+
K_K07++
P6S_KK
P6S_UK
P6S_UW
P6S_WG
P6S_WK
02 is able to apply the main theorems of the basic branches of mathematics from the course of study to to solve tasks. solving classes written test K_W04+++
K_W06+
K_U01++
K_U12+++
K_U16+
K_U23+
K_K01+
K_K07+
P6S_KK
P6S_UK
P6S_UW
P6S_WG
P6S_WK

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
6 TK01 Basics of the differential calculus of functions of single variable: computation of the derivative, theorems on the mean value, relationship between the derivative and the monotonicity. Local extrema of functions and their determination, Taylor's formula. C1-C7 MEK01 MEK02
6 TK02 The indefinite integral. Basic methods of calculating indefinite integrals. Calculation of integrals of rational functions. Definition of the Riemann integral - geometric interpretation. The Newton-Leibniz theorem, Geometrical applications of the definite integral. C8-C13 MEK01 MEK02
6 TK03 Numerical series. Convergence of a number series. Convergence criteria for numerical series. Absolutely convergent series and conditionally convergent. Power series. Radius and convergence area of ​​the power series. Taylor's series. Expansion of a function into Taylor and Maclaurin series. C14-C18 MEK01 MEK02
6 TK04 Derivative of a function of several variables. Partial derivatives. Gradient, Extremes of functions of several variables. C19-C24 MEK01 MEK02
6 TK05 Independence of random events and independence of random variables. Conditional probability and Bayes' theorem. A partition of a sample space and theorem on total probability. The cumulative distribution function of a real-valued random variable. Moments of random variable. C25-C30 MEK01 MEK02

The student's effort

The type of classes The work before classes The participation in classes The work after classes
Class (sem. 6) The preparation for a Class: 10.00 hours/sem.
contact hours: 30.00 hours/sem.
Finishing/Studying tasks: 3.00 hours/sem.
Advice (sem. 6) The participation in Advice: 2.00 hours/sem.
Credit (sem. 6) The preparation for a Credit: 10.00 hours/sem.
The written credit: 2.00 hours/sem.

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

The type of classes The way of giving the final grade
Class A credit is based on the results of test and oral presentation.
The final grade The final mark is the average of the mark of test and mark of oral presentation.

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