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13D081PS - Applied Statistics

Course specification
Course title Applied Statistics
Acronym 13D081PS
Study programme Electrical Engineering and Computing
Module
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 course in undergraduate level (minimum 3 credits)
      The goal Knowledge acquisition about standard and specific methods in statistical methods in data analysis, with a view to applications.
      The outcome A student will be able to solve real problems using statistical procedures and software.
      Contents
      Contents of lectures Elements of data analysis. Measures of location and dispersion. Probability, random variables. Normal distribution. Correlation. Bayesian methods. Linear regression. Parameter estimation. Confidence intervals. Robust methods with multivariate data.
      Contents of exercises Study research work.
      Literature
      1. Probability and Statistics for engineers and students of engineering, fourth revised edition, Academic Mind 2016
      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
      6
      Methods of teaching Lecturing and consultations, study reaseach work.
      Knowledge score (maximum points 100)
      Pre obligations Points Final exam Points
      Activites during lectures Test paper 40
      Practical lessons 60 Oral examination
      Projects
      Colloquia
      Seminars