Semester: 2021 - 2022 FALL

Instructor: Dr. Inst. Emre SERMUTLU

Room: R - 201

Office Hours: Wednesday 13:20-15:10

Course Description:  Introduction to R, Axioms of Probability, Events, Conditional Probability, Independence, Bayes’ Rule, Random Variables, Joint Random Variables, Mathematical Expectation, Discrete Random Variables: Binomial, Hypergeometric, Negative Binomial, Geometric and Poison Distribution, Continuous Random Variables: Normal, Gamma and Exponential Distribution, Sampling Distributions, Central Limit Theorem, Regression, Correlation, Model Building.

Textbooks:  R. Walpole, R. Myers, S. Myers, Keying Ye, Probability & Statistics for Engineers & Scientists, 9th Edition, Pearson 2016, ISBN: 978-0134468914

Tilman M. Davies, The Book of R: A First Course in Programming and Statistics, No Starch Press 2016, ISBN: 978-1593276515

Reference Books: G. Jay Kerns, Introduction to Probability and Statistics Using R, 3rd edition, GNU Public License 2018, ISBN: 978-17263439

Evaluation Criteria:

  • First Midterm: %20
  • Second Midterm: %20
  • Quiz %20
  • Final %40

 

Exam Dates:

  • First Midterm: November 2, 2021, Tuesday, 17:30 at room P-101.
  • Second Midterm: December 7, 2021, Tuesday, 17:30.