Jun 15, 2019   10:37 p.m. Vít
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Course syllabus I1-MAT3 - Mathematics 3 (FCE - WS 2019/2020)

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University: Slovak University of Technology in Bratislava
Faculty: Faculty of Civil Engineering
Course unit code: I1-MAT3
Course unit title: Mathematics 3
Mode of delivery, planned learning activities and teaching methods:
lecture2 hours weekly (on-site method)
laboratory/construction practice1 hour weekly (on-site method)

Credits allocated: 4
Recommended semester/trimester: Building Technology - master (compulsory), 1. semester
Level of study: 2.
Prerequisites for registration: none
Assesment methods:
All assignments properly prepared and submitted, final written test, a condition for passing the object: min. 56%.
Learning outcomes of the course unit:
Students will acquire basic knowledge of the applications of optimization and statistical methods in engineering practice. After successful completion of this course the student will be able to apply basic methods of linear programming, dynamic programming and discrete optimization to address the organizational and technological problems in construction and will be able to apply basic statistical methods in construction.
Course contents:
- Linear programming - simplex algorithm, duality, distribution algorithms and their applications in the construction industry.
- Dynamic programming and discrete optimization problems in securing the transport, construction and technological processes.
- Random variables and their distribution, numerical characteristics, statistical analysis of real data sets.
- Statistical hypothesis testing, correlation and regression analysis and their use in the civil engineering business.
Recommended or required reading:
KNOR, M. Lineárna a nelineárna optimalizácia. Bratislava: STU v Bratislave, 2009. 98 p. ISBN 978-80-227-3102-7.
Optimálne programovanie. Bratislava : Alfa, 1990. 655 p. ISBN 80-05-00663-2.
NOVOVIČOVÁ, J. Pravdepodobnosť a matematická štatistika.  [online]. 1999. URL: http://euler.fd.cvut.cz/publikace/files/skripta3.pdf.

Language of instruction: slovak or english
Courses evaluation:
Assessed students in total: 427

4,7 %8,0 %15,5 %21,5 %42,4 %7,9 %
Name of lecturer(s): prof. RNDr. Magdaléna Komorníková, PhD. (person responsible for course, tutor)
Ing. Adam Šeliga (examiner, instructor, lecturer)
Ing. Alexandra Šipošová, PhD. (examiner, instructor, lecturer) - slovak, english
Last modification: 28. 2. 2019
Supervisor: prof. RNDr. Magdaléna Komorníková, PhD. and programme supervisor

Last modification made by Ing. Peter Korčák on 02/28/2019.

Type of output: