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CZECH TECHNICAL UNIVERSITY IN PRAGUE
STUDY PLANS
2019/2020

Applied Mathematics

The course is not on the list Without time-table
Code Completion Credits Range
11APM ZK
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Department of Applied Mathematics
Synopsis:

Descriptive statistics. Probability, conditional probability, Bayes theorem. Random variable, random vector, joint and marginal probability distribution, independence. Some discrete and continuous distributions. Mixed distributions. Finite mixture of distributions. Point estimation. Interval estimation. Hypothesis testing. Regression and correlation analysis. Simple graphs, multigraphs, labeled graph, planar graph, Euler´s formula. Four-color problem. Euler Circuit, Hamilton circuit and directed graphs. Algorithms for finding distances in digraphs - Dijkstra´s algorithm. Weighted graphs, shortest paths and minimal spanning trees. A depth first spanning tree, a breadth first spanning tree. Adjacency matrices. Flows in networks, Ford-Fulkerson´s algorithm.

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Further information:
No time-table has been prepared for this course
The course is a part of the following study plans:
Data valid to 2019-10-15
For updated information see http://bilakniha.cvut.cz/en/predmet24753805.html