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Mathematical analysis 2

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: Engineering and data analysis

The area of study: sciences

The profile of studing:

The level of study: first degree study

Type of study: full time

discipline specialities :

The degree after graduating from university: engineer

The name of the module department : Departament of Discrete Mathematics

The code of the module: 12295

The module status: mandatory for teaching programme

The position in the studies teaching programme: sem: 2 / W30 C30 L15 / 5 ECTS / E

The language of the lecture: Polish

The name of the coordinator: Anetta Szynal-Liana, PhD

office hours of the coordinator: w terminach podanych w harmonogramie pracy jednostki.

semester 2: Adrian Michalski, PhD

semester 2: Paweł Bednarz, PhD

The aim of studying and bibliography

The main aim of study: The aim of the course is to familiarize students with such topics of mathematical analysis, such as: partial derivatives, extrema of functions of two variables, double and triple integrals, curve integrals, surface integrals, their applications and use of CAS Maxima software.

The general information about the module: The module consists of 30 hours of lectures, 30 hours of classes and 15 hours of laboratories. It ends with an exam.

Bibliography required to complete the module
Bibliography used during lectures
1 F. Leja Rachunek różniczkowy i całkowy PWN, Warszawa. 2008.
2 W. Żakowski, W. Kołodziej Matematyka cz.2. Analiza matematyczna WNT, Warszawa. 2013.
3 M. Gewert, Z. Skoczylas Analiza matematyczna 2. Definicje, twierdzenia, wzory GiS, Wrocław. 2016.
4 W. Krysicki, L. Włodarski Analiza matematyczna w zadaniach cz.2 PWN, Warszwa. 2011.
5 M. Gewert, Z. Skoczylas Analiza matematyczna 2. Przykłady i zadania GiS, Wrocław. 2016.
6 P.N. de Souza, R.J. Fateman, J. Moses, C. Yapp The Maxima Book http://maxima.sourceforge.net.
7 G. Berman Zbiór zadań z analizy matematycznej Pracownia Komputerowa Jacka Skalmierskiego, Gliwice. 2000.

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 basics of the differential and integral calculus of one variable function.

Basic requirements in category skills: Ability to calculate limits and derivatives of functions and basic indefinite and definite integrals.

Basic requirements in category social competences: Preparation for taking substantively justified mathematical actions to solve the posed problem.

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 Can calculate partial derivatives and extrema of functions of two variables. lecture, solving classes, laboratory test, written exam K_W01+
K_U01+
P6S_UW
P6S_WG
02 Can calculate the double integrals and the triple integrals. lecture, solving classes, laboratory test, written exam K_W01+
K_U01+
P6S_UW
P6S_WG
03 Can calculate curve integrals lecture, solving classes, laboratory test, written exam K_W01+
K_U01+
P6S_UW
P6S_WG
04 Can calculate surface integral. lecture, solving classes, laboratory test, written exam K_W01+
K_U01+
K_K01+
P6S_KK
P6S_UW
P6S_WG
05 Can calculate derivatives of multiple variables and multiple integrals in the CAS Maxima and perform graphs of functions in 2D and 3D. laboratory project at the computer K_W02+
K_K02+
P6S_KK
P6S_KO
P6S_WG

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 Differential calculus of functions of several variables. Partial derivatives. Extrema of functions of two variables. W1-W12, C1-C12, L1-L5 MEK01 MEK05
2 TK02 Double and triple integrals. Iterated integrals. Applications of multiple integrals. W13-W20, C13-C20, L6-L10 MEK02 MEK05
2 TK03 Curve integrals. Curve integral of a scalar field, its properties and applications. Curve integral of a vector field and methods of its evaluating. Green theorem and its applications. W21-W26, C21-C26, L11-L13 MEK03 MEK05
2 TK04 Surface integral. The concept of the surface integral of a vector field. Properties of surface integrals. W27-W30, C27-C30, L14-L15 MEK04 MEK05

The student's effort

The type of classes The work before classes The participation in classes The work after classes
Lecture (sem. 2) contact hours: 30.00 hours/sem.
complementing/reading through notes: 3.00 hours/sem.
Studying the recommended bibliography: 2.00 hours/sem.
Class (sem. 2) The preparation for a Class: 5.00 hours/sem.
The preparation for a test: 8.00 hours/sem.
contact hours: 30.00 hours/sem.
Finishing/Studying tasks: 3.00 hours/sem.
Laboratory (sem. 2) The preparation for a Laboratory: 5.00 hours/sem.
The preparation for a test: 5.00 hours/sem.
contact hours: 15.00 hours/sem.
Finishing/Making the report: 5.00 hours/sem.
Advice (sem. 2) The preparation for Advice: 1.00 hours/sem.
The participation in Advice: 1.00 hours/sem.
Exam (sem. 2) The preparation for an Exam: 10.00 hours/sem.
The written exam: 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
Lecture Written exam. The obvious exercises and the extra exercises. The obvious exercises must be solved. Only the obvious exercises - 3.0.
Class Written tests. The obvious exercises and the extra exercises. The obvious exercises must be solved.
Laboratory Project at the computer (obligatory).
The final grade After the credit of all types of classes the final grade is the average of grade of classes (x 0,4), grade of laboratory (x 0,2) and grade of exam (x 0,4).

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 : yes

Available materials : undersigned the leaf of format what the highest A4, double-recorded, with any content

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