DS2PS - Applied Statistics

Course specification
Course title Applied Statistics
Acronym DS2PS
Study programme Electrical Engineering and Computing
Module Telecommunications and Information Technologies
Type of study doctoral studies
Lecturer (for classes)
    Lecturer/Associate (for practice)
      Lecturer/Associate (for OTC)
        ESPB 9.0 Status elective
        Condition Probability and Statistics on the level of 15 hours course
        The goal Learning elements of standard and specific methods of statistics and data analysis, with a special view to acoustic applications.
        The outcome Student will be able to use statistical software with understanding procedures and meanings of obtained results.
        Contents of lectures Various ways of presenting the data. Measures of location and of dispersion. Probabilities, random variables. Normal distribution. Correlation. Linear regression. Parameter estimation. Confidence intervals. Hypothesis testing. Some specific methods.
        Contents of exercises
        1. Milan Merkle: Probability and Statistics for engineers and students of engineering, Academic Mind, Belgrade 2010
        2. D.C. Montgomery, G.C. Runger, Applied statistics and probability for engineers, Wiley, 2010 (Original title)
        Number of hours per week during the semester/trimester/year
        Lectures Exercises OTC Study and Research Other classes
        Methods of teaching Lectures, seminar work, discussions and examples.
        Knowledge score (maximum points 100)
        Pre obligations Points Final exam Points
        Activites during lectures 0 Test paper 70
        Practical lessons 0 Oral examination 0
        Projects 0
        Seminars 30