CANKIRI KARATEKIN UNIVERSITY Bologna Information System


  • Course Information
  • Course Title Code Semester Laboratory+Practice (Hour) Pool Type ECTS
    Advanced Probability and Mathematical Statistics İST515 FALL-SPRING 3+0 University E 6
    Learning Outcomes
    1-Defines the relation between sets and sample space.
    2-Calculates the probability of an event using probability axioms and rules.
    3-Interprets the properties of the distribution function.
    Prerequisites -
    Language of Instruction Turkish
    Responsible Assoc. Prof. Dr. Tuba KOÇ
    Instructors -
    Assistants -
    Resources R1. Wackerly, D., Mendenhall, W., & Scheaffer, R. L. (2014). Mathematical statistics with applications. Cengage Learning
    Supplementary Book SR1. Ramachandran, K. M., & Tsokos, C. P. (2020). Mathematical statistics with applications in R. Academic Press. SR2. Devore, J. L., Berk, K. N., & Carlton, M. A. (2012). Modern mathematical statistics with applications (Vol. 285). New York: Springer.
    Goals Learning the basic Probability rules.
    Content To teach to establish the relation between sets and sample space. To teach to calculate the probability of an event using probability axioms and rules.
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