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13D081PS - Applied Statistics

Course specification
Course title Applied Statistics
Acronym 13D081PS
Study programme Electrical Engineering and Computing
Module Telecommunications
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
      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
      Literature
      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
      Number of hours per week during the semester/trimester/year
      Lectures Exercises OTC Study and Research Other classes
      6
      Methods of teaching Lectures, seminar work, discussions and examples.
      Knowledge score (maximum points 100)
      Pre obligations Points Final exam Points
      Activites during lectures Test paper 70
      Practical lessons Oral examination
      Projects
      Colloquia
      Seminars 30