- Course unit code:
- 472M0_4D
- Course unit title:
- Mathematical Methods in Environmental Engineering
- Mode of delivery, planned learning activities and teaching methods:
- lecture – 5 hours weekly (on-site method)
- Credits allocated:
- 6
- Recommended semester:
- Chémia a technológia životného prostredia – (full-time, attendance method), 0. semester
- Level of study:
- 3.
- Prerequisites for registration:
- none
- Assesment methods:
- Students should work out their homework and to obtain the test.
- Learning outcomes of the course unit:
- Get acquainted students with the fundamentals of statistical methods, teach them to handle univariate and multivariate datasets with the assistance of statistical software.
- Course contents:
1. |
Models of data files (allowance 6/0) |
|
a. |
Models of simple data files - ANOVA |
b. |
Models of multiple data files - MANOVA |
c. |
Discriminant |
|
2. |
Predictions in regression models (allowance 6/0) |
|
a. |
Parametric regression models |
b. |
Nonparametric regression models |
c. |
Regression models with conditions |
|
- Recommended or required reading:
Basic:
- VARGA, Š. Matematická štatistika. Bratsilava : Nakladateľstvo STU, 2012. 219 s. ISBN 978-80-227-3789-0.
- VOLAUF, P. Matematická štatistika: Zbierka príkladov. Bratislava : STU v Bratislave, 2001. 166 s. ISBN 80-227-1523-9.
- ROUSSAS, G G. A course in mathematical statistics. San Diego : Academic Press, 1997. 572 s. ISBN 0-12-599315-3.
Recommended:
- VARGA, Š. – ŠABO, M. – POSPÍCHAL, J. Matematika III: Matematická štatistika a numerické metódy. Bratislava : STU v Bratislave FCHPT, 2003. 202 s. ISBN 80-227-1840-8.
- MONTGOMERY, D C. – RUNGER, G C. Applied Statistics and Probability for Engineers. New York : John Wiley & Sons, 2002. 706 s. ISBN 0-471-20454-4.
- Language of instruction:
- Slovak, English
- Assessed students in total:
2
A 100 %
B 0 %
C 0 %
D 0 %
E 0 %
FX 0 %
- Name of lecturer(s):
- N. Krivoňáková (2023/2024 – Winter)
Z. Takáč (2022/2023 – Winter)
- Course supervisor:
- doc. RNDr. Vladimír Baláž, CSc.
- Last modification:
- 5. 10. 2019
Department:
Department of Mathematics
AIS: 2019/2020
2000/2001
2000/2001