PřF:M2510 Mathematical Analysis 2 - Course Information
M2510 Mathematical Analysis 2
Faculty of ScienceSpring 2019
- Extent and Intensity
- 2/2/0. 3 credit(s) (příf plus uk k 1 zk 2 plus 1 > 4). Type of Completion: zk (examination).
- Teacher(s)
- prof. RNDr. Zuzana Došlá, DSc. (lecturer)
Mgr. Petr Liška, Ph.D. (seminar tutor) - Guaranteed by
- doc. RNDr. Jaromír Šimša, CSc.
Department of Mathematics and Statistics – Departments – Faculty of Science
Supplier department: Department of Mathematics and Statistics – Departments – Faculty of Science - Timetable
- Mon 18. 2. to Fri 17. 5. Tue 16:00–17:50 M1,01017
- Timetable of Seminar Groups:
M2510/02: Mon 18. 2. to Fri 17. 5. Fri 8:00–9:50 M5,01013, P. Liška - Prerequisites
- Knowledge of the differential calculus in one variable is supposed.
- Course Enrolment Limitations
- The course is also offered to the students of the fields other than those the course is directly associated with.
- fields of study / plans the course is directly associated with
- Mathematics with a view to Education (programme PřF, B-EB)
- Mathematics with a view to Education (programme PřF, B-FY)
- Mathematics with a view to Education (programme PřF, B-GE)
- Mathematics with a view to Education (programme PřF, B-GK)
- Mathematics with a view to Education (programme PřF, B-CH)
- Mathematics with a view to Education (programme PřF, B-IO)
- Mathematics with a view to Education (programme PřF, B-MA)
- Course objectives
- The main objective is to understand basic notions, results and techniques of computations and applications in the theory of integrals of one variable functions.
After passing the course, the student will be able:
to define and interpret the basic notions in theory of both definite and undefinite integrals:
to formulate relevant mathematical theorems and statements and to explain methods of their proofs;
to use effective techniques of integratring one variable functions;
to apply acquired pieces of knowledge for the solution of specific problems, mainly in geometry and physics. - Learning outcomes
- After passing the course, the student will be able:
to define and interpret the basic notions in theory of both definite and undefinite integrals:
to formulate relevant mathematical theorems and statements and to explain methods of their proofs;
to use effective techniques of integratring one variable functions;
to apply acquired pieces of knowledge for the solution of specific problems, mainly in geometry and physics. - Syllabus
- Sequences, differential of a function, Taylor's theorem. Primitive function. Basic integration methods. Integrals of rational, trigonometric and some irrational functions. Riemann definite integral and its geometric applications. Improper integrals.
- Literature
- DOŠLÝ, Ondřej and Petr ZEMÁNEK. Integrální počet v R (Integral Calculus in R). 1. vydání. Brno: Masarykova univerzita, 2011, 222 pp. ISBN 978-80-210-5635-0. info
- Kuben, Jaromír - Hošková, Šárka - Račková, Pavlína. Integrální počet funkcí jedné proměnné; VŠB-TU Ostrava, elektronický text vytvořený v rámci projektu CZ.04.1.03/3.2.15.1/0016 ESF ČR. Dostupné z: http://homel.vsb.cz/~s1a64/cd/pdf/print/ip.pdf.
- NOVÁK, Vítězslav. Integrální počet v R. 2. vyd. Brno: Masarykova univerzita, 1994, 148 s. ISBN 8021009918. info
- DULA, Jiří and Jiří HÁJEK. Cvičení z matematické analýzy : Riemannův integrál. Vyd. 1. Praha: Státní pedagogické nakladatelství, 1988, 84 s. info
- Integrální počet. Edited by Vojtěch Jarník. Vyd. 5. nezměn. Praha: Academia, 1974, 243 s. URL info
- Teaching methods
- Lectures and group-exercices. The project working.
- Assessment methods
- One written test and the group project . Exam in both oral and written form. Subjects of projects: 1 History of the integration 2 Numerical integration 3 Theorems of Pappus 4 Applications in biology and chemistry 5 Applications in physics 6 Applications in probability and economics
- Language of instruction
- Czech
- Follow-Up Courses
- Further Comments
- Study Materials
The course is taught annually. - Listed among pre-requisites of other courses
- Enrolment Statistics (recent)
- Permalink: https://is.muni.cz/course/sci/spring2019/M2510