Study programmes / B-EMEN Economics and Management / Mathematics II
Course code:MT2A
Course title in language of instruction:Mathematics II
Course title in Czech:Matematika II v AJ
Course title in English:Mathematics II
Mode of completion and number of credits:Exam (6 credits)
(1 ECTS credit = 28 hours of workload)
Mode of delivery/Timetabled classes:full-time, 2/2
(full-time, hours of lectures per week / hours of seminars per week)
Language of instruction:English
Level of course:bachelor
Semester:SS 2016/2017 - FBE
Name of lecturer:RNDr. Karel Mikulášek, Ph.D. (examiner, instructor, lecturer, supervisor)
Prerequisites:Mathematics I
 
Aims of the course:Students should get an understanding of functions of two variables, partial derivatives and their applications. They should know how to solve simple first and second order differential equations, learn the basics of difference equations, finding roots of polynomials, and fitting the data with curves. Using suitable examples they will test the methods and skills they have learned to be able to tackle simple mathematical problems they may come across in practice.
Course contents:
1.Calculus of functions of 2 variables (allowance 10/10)
 
a.Functions of 2 variables, domain, properties
b.Partial derivatives, directional derivatives, tangent plane
c.Local, relative absolute maxima/minima of two-functions

2.Differential and difference equations (allowance 10/10)
 
a.First order ordinary differential equation separable, homogeneous
b.Second order ordinary linear differential equation with constant coefficients

3.Difference equations (allowance 4/4)
 
a.Homogeneous difference equations
b.Non-homogeneous difference equations

4.Polynomials and approximation (allowance 4/4)
 
a.Polynomials and finding their roots
b.Lagrange approximation polynomial
c.Fitting data with curves

Learning outcomes and competences:
Generic competences:
 
-ability to apply knowledge
-ability to solve problems
-ability to work independently
-basic computing skills
-general knowledge

Specific competences:
 
-Student is able with use of basic integration methods calculate indefinite integral
-Student is able with using limits and integration methods solve improper integral.
-Student knows to solve basic types of difference equations of 1st and 2nd order.
-Student knows to solve basic types of ordinary differential equations of 1st and 2nd order.
-Student knows to use calculation derivative of two variables function for determination of its maximal and minimal value.
-Student knows with use of definite integral calculate surface area and volume of rotate solids.

Type of course unit:required
Year of study:Not applicable - the subject could be chosen at anytime during the course of the programme.
Work placement:There is no compulsory work placement in the course unit.
Recommended study modules:none
Assessment methods:At mid-term, in a written test, students are required to submit solutions to several practical problems for them to see the improvement needed. To complete the course a written test consisting of practical and theoretical parts is required. In the practical part, students have to solve 3 to 4 problems and, in the theoretical part, to give correct answers to 3 to 4 questions to see whether they have a good understanding of the background theory. The points obtained in both parts are then added. To pass the examination, a student has to achieve at least 50 percent of the total number of points.
 
Learning activities and study load (hours of study load)
Type of teaching methodDaily attendance
Direct teaching
     lecture28 h
     practice28 h
Self-study
     preparation for exam46 h
     preparation for regular assessment20 h
     preparation for regular testing46 h
Total168 h

Basic reading list
  • BENCE, S. -- HOBSON, M. -- RILEY, K. Mathematical Methods for Physics and Engineering . Cambridge: Cambridge University Press, 2009. 1332 p. ISBN 978-0-521-67971-8.
  • STROUD, K. Engineering Mathematics. New York: Palgrave Macmillan, 2001. 1220 p. ISBN 978-1-4039-4246-3.
  • STROUD, K. Advanced Engineering Mathematics. New York: Industrial Press, Inc., 2003. 1032 p. ISBN 978-0-8311-3169-2.