Eskisehir Technical University Info Package Eskisehir Technical University Info Package
  • Info on the Institution
  • Info on Degree Programmes
  • Info for Students
  • Turkish
    • Turkish Turkish
    • English English
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 Industrial Engineering
  • Course Structure Diagram with Credits
  • Engineering Probability
  • Description
  • Description
  • Learning Outcomes
  • Course's Contribution to Prog.
  • Learning Outcomes & Program Qualifications

Course Introduction Information

Code - Course Title İST244 - Engineering Probability
Course Type Required Courses
Language of Instruction Türkçe
Laboratory + Practice 3+0
ECTS 5.0
Course Instructor(s) PROFESÖR NİHAL ERGİNEL, DOKTOR ÖĞRETİM ÜYESİ ZEYNEP İDİL ERZURUM ÇİÇEK
Mode of Delivery Face to face
Prerequisites MAT 805- MAT 806
Courses Recomended
Recommended Reading List Hines W.W., Montgomery D.C., (1990), Probability and Statistics in Engineering and Management Science, 3rd. Edition, Wiley Yayınları Walpole R.E., Myers R. H., Myers S.L., Ye K., (2002), Probability and Statistics for Engineers & Scientistis, 7th edition, Prentice Hall Yayınları
Assessment methods and criteria Midterm, final, homework, quiz
Work Placement
Sustainability Development Goals

Content

Weeks Topics
Week - 1 Defining and calculating sample statistics
Week - 2 Features of sample statistics
Week - 3 Defination of probability and fundemetals
Week - 4 Conditional probability, Bayes
Week - 5 Random variables, probability functions, probability density functions
Week - 6 Cumulative function, Chebyshev’s inequality
Week - 7 Expected value and moments
Week - 8 Discreate Distribution: Regular, Pascal, Binomial
Week - 9 Negatif Binom, Poisson, Binom- Poisson
Week - 10 Central limit Theorem, Binomial-Normal
Week - 11 Continus Distributions: Regular, Exponential, Gamma
Week - 12 Normal Distributions
Week - 13 Standard Normal Distribution
Week - 14 Application of Normal Distribution

Learning Activities and Teaching Methods

  • Competences
  • Problem solving
  • Applying theoretical knowledge into practice
  • Elementary computing skills

Assessment Methods

Assessment Method and Passing Requirements
Quamtity Percentage (%)
Toplam (%) 0
  • Info on the Institution
  • Name and Adress
  • Academic Calendar
  • Academic Authorities
  • General Description
  • List of Programmes Offered
  • General Admission Requirements
  • Recognition of Prior Learning
  • Registration Procedures
  • ECTS Credit Allocation
  • Academic Guidance
  • Info on Degree Programmes
  • Doctorate Degree / Proficieny in Arts
  • Master's Degree
  • Bachelor's Degree
  • Associate Degree
  • Open&Distance Education
  • Info for Students
  • Cost of living
  • Accommodation
  • Meals
  • Medical Facilities
  • Facilities for Special Needs Students ı
  • Insurance
  • Financial Support for Students
  • Student Affairs Office
  • Info for Students
  • Learning Facilities
  • International Programmes r
  • Practical Information for Mobile Students
  • Language courses
  • Internships
  • Sports and Leisure Facilities
  • Student Associations