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 Engineering
  • Department of Computer Engineering (English)
  • Course Structure Diagram with Credits
  • Probability and Statistics
  • Description
  • Description
  • Learning Outcomes
  • Course's Contribution to Prog.
  • Learning Outcomes & Program Qualifications

Course Introduction Information

Code - Course Title İST252 - Probability and Statistics
Course Type Required Courses
Language of Instruction İngilizce
Laboratory + Practice 3+0
ECTS 4.0
Course Instructor(s) DOKTOR ÖĞRETİM ÜYESİ SEMA CANDEMİR
Mode of Delivery Face To Face
Prerequisites ---
Courses Recomended ---
Recommended Reading List ---
Assessment methods and criteria 1 Mid Term Exam, 3 Homeworks, 1 Final Exam
Work Placement Classroom
Sustainability Development Goals

Content

Weeks Topics
Week - 1 Data Representation: Avarage, Spread, Experiments, Outcomes, Events,
Week - 2 Probability: Permutations and Combinations
Week - 3 Random Variables. Probability Distrubutions
Week - 4 Mean and Variance of a Distrubution
Week - 5 Binomial, Poisson and Hypergeometrik Distrubutions
Week - 6 Normal Distrubution
Week - 7 Distrubutions of Several Random Variables
Week - 8 Random Sampling
Week - 9 Point Estimation of Parameters, Confidence Intervals
Week - 10 Testing Hypothesis, Decesions
Week - 11 Quality Control, Acceptance Sampling
Week - 12 Goodness of Fit, X2 Tests
Week - 13 Nonparametric Tests
Week - 14 Regression, Fitting Straight Lines, Correlation

Learning Activities and Teaching Methods

  • Teaching Methods
  • Lecture
  • Discussion
  • Question & Answer
  • Demonstration
  • Drill - Practise
  • Case Study
  • Problem Solving
  • Competences
  • Productive
  • Rational
  • Questoning
  • Use time effectively
  • Eleştirel düşünebilme
  • Abstract analysis and synthesis
  • Problem solving
  • Applying theoretical knowledge into practice
  • Concern for quality
  • Information Management
  • Elementary computing skills
  • Decision making

Assessment Methods

Assessment Method and Passing Requirements
Quamtity Percentage (%)
1.Midterm Exam 1 30
Homework 1 30
Final Exam 1 40
Toplam (%) 100
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