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Course detail
FIT-MSPAcad. year: 2019/2020
Summary of elementary concepts from probability theory and mathematical statistics. Limit theorems and their applications. Parameter estimate methods and their properties. Scattering analysis including post hoc analysis. Distribution tests, tests of good compliance, regression analysis, regression model diagnostics, non-parametric methods, categorical data analysis. Markov decision-making processes and their analysis, randomized algorithms.
Language of instruction
Number of ECTS credits
Mode of study
Guarantor
Department
Learning outcomes of the course unit
Students will extend their knowledge of probability and statistics, especially in the following areas:
Prerequisites
Foundations of descriptive statistics, probability theory and mathematical statistics.
Co-requisites
Planned learning activities and teaching methods
Assesment methods and criteria linked to learning outcomes
Three tests will be written during the semester - 3rd, 6th and 11th week. The exact term will be specified by the lecturer. The test duration is 60 minutes. The evaluation of each test is 0-10 points.
Projected evaluated 0-10 points.
Final written exam - 60 pointsExam prerequisites:
The credit will be awarded to the one who meets the attendance conditions and whose total test scores will reach at least 15 points and project score at least 5 points. The points earned in the exercise are transferred to the exam.
Course curriculum
Work placements
Aims
Introduction of further concepts, methods and algorithms of probability theory, descriptive and mathematical statistics. Development of probability and statistical topics from previous courses. Formation of a stochastic way of thinking leading to formulation of mathematical models with emphasis on information fields.
Specification of controlled education, way of implementation and compensation for absences
Participation in lectures in this subject is not controlled
Participation in the exercises is compulsory. During the semester two abstentions are tolerated. Replacement of missed lessons is determined by the leading exercises.
Recommended optional programme components
Prerequisites and corequisites
Basic literature
Recommended reading
Classification of course in study plans
specialization NBIO , 1 year of study, winter semester, compulsoryspecialization NSEN , 1 year of study, winter semester, compulsoryspecialization NVIZ , 1 year of study, winter semester, compulsoryspecialization NGRI , 1 year of study, winter semester, compulsoryspecialization NISD , 1 year of study, winter semester, compulsoryspecialization NSEC , 1 year of study, winter semester, compulsoryspecialization NCPS , 1 year of study, winter semester, compulsoryspecialization NHPC , 1 year of study, winter semester, compulsoryspecialization NNET , 1 year of study, winter semester, compulsoryspecialization NMAL , 1 year of study, winter semester, compulsoryspecialization NVER , 1 year of study, winter semester, compulsoryspecialization NIDE , 1 year of study, winter semester, compulsoryspecialization NEMB , 1 year of study, winter semester, compulsoryspecialization NSPE , 1 year of study, winter semester, compulsoryspecialization NADE , 1 year of study, winter semester, compulsoryspecialization NMAT , 1 year of study, winter semester, compulsoryspecialization NISY , 1 year of study, winter semester, compulsory
Lecture
Teacher / Lecturer
Syllabus
Fundamentals seminar
Project