Eskisehir Technical University Info Package Eskisehir Technical University Info Package
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About the Program Educational Objectives Key Learning Outcomes Course Structure Diagram with Credits Field Qualifications Matrix of Course& Program Qualifications Matrix of Program Outcomes&Field Qualifications
  • Faculty of Science
  • Department of Statistics
  • Course Structure Diagram with Credits
  • Statistics Laboratory I
  • Description
  • Description
  • Learning Outcomes
  • Course's Contribution to Prog.
  • Learning Outcomes & Program Qualifications

Course Introduction Information

Code - Course Title İST135 - Statistics Laboratory I
Course Type Required Courses
Language of Instruction Türkçe
Laboratory + Practice 2+0
ECTS 3.0
Course Instructor(s) ARAŞTIRMA GÖREVLİSİ DOKTOR CENK İÇÖZ
Mode of Delivery Face to Face
Prerequisites None
Courses Recomended
Recommended Reading List
Assessment methods and criteria Midterm and Final exam, Quiz or Project.
Work Placement
Sustainability Development Goals

Content

Weeks Topics
Week - 1 Installation of R and RStudio, Using posit, Importing data from external sources
Week - 2 Data types, Data structures, Operators and Queries
Week - 3 Graphical representation of data
Week - 4 Calculation of central tendency measures
Week - 5 Calculation of measures of variability
Week - 6 Calculation and graphical representation of percentile and interquartile range
Week - 7 Probability applications
Week - 8 Conditional probability and independence event applications
Week - 9 Use of built-in functions distribution functions
Week - 10 Binomial distribution applications
Week - 11 Applications of Poisson distribution
Week - 12 Normal distribution applications
Week - 13 Standard normal distribution applications
Week - 14 Application of normal distribution approach to binomial distribution

Learning Activities and Teaching Methods

  • Teaching Methods
  • Lecture
  • Discussion
  • Question & Answer
  • Team/Group Work
  • Drill - Practise
  • Case Study
  • Problem Solving
  • Brain Storming
  • Report Preparation and/or Presentation
  • Proje Design/Management
  • Competences
  • Productive
  • Rational
  • Questoning
  • Effective use of a foreign language
  • Problem solving
  • Applying theoretical knowledge into practice
  • Information Management
  • Elementary computing skills
  • Decision making
  • Project Design and Management

Assessment Methods

Assessment Method and Passing Requirements
Quamtity Percentage (%)
Homework 1 40
Final Exam 1 60
Toplam (%) 100
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