Applied Mathematics
Code  Completion  Credits  Range 

11APMP  ZK 
 Lecturer:
 Tutor:
 Supervisor:
 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. Fourcolor 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, FordFulkerson´s algorithm.
 Requirements:
 Syllabus of lectures:
 Syllabus of tutorials:
 Study Objective:
 Study materials:
 Note:
 Further information:
 No timetable has been prepared for this course
 The course is a part of the following study plans: