Aug 18, 2019   5:09 a.m. Elena, Helena
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Course syllabus B-MAT4 - Mathematics 4 (FEEIT - WS 2019/2020)


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University: Slovak University of Technology in Bratislava
Faculty: Faculty of Electrical Engineering and Information Technology
Course unit code: B-MAT4
Course unit title: Mathematics 4
Mode of delivery, planned learning activities and teaching methods:
lecture2 hours weekly (on-site method)
seminar2 hours weekly (on-site method)

 
Credits allocated: 6
 
Recommended semester/trimester: Nuclear and Physical Engineering - bachelor (compulsory), 5. semester
Level of study: 1.
Prerequisites for registration: none
 
Assesment methods:
Two semestral tests 20 points (40% of total), written exam 60 points (60% of total). Total evaluation - sum of points from tests and exam using official classification table.
 
Learning outcomes of the course unit:
The student obtains the knowledge on statistical data analysis and some discrete and continuous probability models. The second goal is an introduction to scientific computing and basic techniques of numerical methods.
 
Course contents:
Descriptive statistics, histogram, measures of location and variability. Stochastic dependence, regression line, correlation coefficient. Discrete probability models, binomial and Poisson distribution. Random vectors, covariance and correlation. Continuous random variables, exponential and normal distribution. Features of numerical solutions, tables and graphs of functions. Finding roots od equations, bisection method, Newton method. Linear systems, over(under) determined systems, conditioning. Interpolation (Vandermond), Newton interpolating polynomial. Least squares approximation, polynomial and exponential models.
Numerical integration, Newton Cotes formulas. The initial value problem (Euler and Runge Kutta methods).
 
Recommended or required reading:
Basic:
VOLAUF, P. Numerické a štatistické výpočty v Matlabe. Bratislava : STU v Bratislave, 2005. 180 p. ISBN 80-227-2259-6.
VOLAUF, P. Numerical methods: Lecture notes. Bratislava : STU v Bratislave, 1991. 161 p.

Recommended:
*e-podpora NaSV, http://matika.elf.stuba.sk/KMAT/e_podpora NSV
Lindfield, G., Penny, J.: Numerical Methods Using MATLAB. Ellis Horwood, New York, 1995
Mendenhall, W., Sincich V.: Statistics for Engineering and Computer Sciences, Macmilan, London 1989

 
Language of instruction: slovak or english
 
Notes:
 
Courses evaluation:
Assessed students in total: 222

ABCDEFX
10,4 %5,4 %16,2 %23,9 %41,4 %2,7 %
Name of lecturer(s): doc. RNDr. Ľubomír Marko, PhD. (examiner, instructor, lecturer, person responsible for course) - slovak, english
doc. RNDr. Oľga Nánásiová, PhD. (examiner, instructor, lecturer)
 
Last modification: 9. 5. 2019
Supervisor: doc. RNDr. Ľubomír Marko, PhD. and programme supervisor


Last modification made by RNDr. Marian Puškár on 05/09/2019.

Type of output: