Course Information


Course Information
Course Title Code Semester L+U Hour Credits ECTS
BASİC STATİSTİCS II UCOG264 4. Semester 2 + 0 2.0 3.0

Prerequisites None

Language of Instruction Turkish
Course Level Bachelor's Degree
Course Type Compulsory
Mode of delivery
Course Coordinator
Instructors
Assistants
Goals The aim of this course is to provide the students with understanding the probability and its importance in statistics and teaching the required metods.
Course Content This course includes subjects relating to the definition of probability and basic concepts, the multiplication rule in probability, bayes’ theorem, random variables, probability function, probability denstiy function, expected value, discrete distributions and continuous distributions.
Learning Outcomes 1) This course will provide students with understanding the concepts of probability and probability functions.
2) This course will provide students with understanding the concepts of probability and pro
3) This course will provide students with understanding the concepts of probability and probability functions.

Weekly Topics (Content)
Week Topics Teaching and Learning Methods and Techniques Study Materials
1. Week Introduction to probability Lecture; Problem Solving

 Practice (Teaching Practice, Music/Musical Instrument Practice, Statistics, Laboratory, Field Work, Clinic and Polyclinic Practice)
2. Week Event (Probability theory) Lecture; Problem Solving

 Practice (Teaching Practice, Music/Musical Instrument Practice, Statistics, Laboratory, Field Work, Clinic and Polyclinic Practice)
3. Week Multiplication Rule in Probability Lecture; Problem Solving

 Practice (Teaching Practice, Music/Musical Instrument Practice, Statistics, Laboratory, Field Work, Clinic and Polyclinic Practice)
4. Week Bayes’ Theorem Lecture; Problem Solving

 Practice (Teaching Practice, Music/Musical Instrument Practice, Statistics, Laboratory, Field Work, Clinic and Polyclinic Practice)
5. Week The Definition of Probability Lecture; Problem Solving

 Practice (Teaching Practice, Music/Musical Instrument Practice, Statistics, Laboratory, Field Work, Clinic and Polyclinic Practice)
6. Week Permutations and Combinations Lecture; Problem Solving

 Practice (Teaching Practice, Music/Musical Instrument Practice, Statistics, Laboratory, Field Work, Clinic and Polyclinic Practice)
7. Week Random Variable Lecture; Problem Solving

 Practice (Teaching Practice, Music/Musical Instrument Practice, Statistics, Laboratory, Field Work, Clinic and Polyclinic Practice)
8. Week Probability Function Lecture; Problem Solving

 Practice (Teaching Practice, Music/Musical Instrument Practice, Statistics, Laboratory, Field Work, Clinic and Polyclinic Practice)
9. Week Probability Denstiy Function, Expected Value, Lecture; Problem Solving

 Practice (Teaching Practice, Music/Musical Instrument Practice, Statistics, Laboratory, Field Work, Clinic and Polyclinic Practice)
10. Week Discrete Distributions Lecture; Problem Solving

 Practice (Teaching Practice, Music/Musical Instrument Practice, Statistics, Laboratory, Field Work, Clinic and Polyclinic Practice)
11. Week Discrete Distributions Lecture; Problem Solving

 Practice (Teaching Practice, Music/Musical Instrument Practice, Statistics, Laboratory, Field Work, Clinic and Polyclinic Practice)
12. Week Continuous Distributions Lecture; Problem Solving

 Practice (Teaching Practice, Music/Musical Instrument Practice, Statistics, Laboratory, Field Work, Clinic and Polyclinic Practice)
13. Week Continuous Distributions Lecture; Problem Solving

 Practice (Teaching Practice, Music/Musical Instrument Practice, Statistics, Laboratory, Field Work, Clinic and Polyclinic Practice)
14. Week Continuous Distributions Lecture; Problem Solving

 Practice (Teaching Practice, Music/Musical Instrument Practice, Statistics, Laboratory, Field Work, Clinic and Polyclinic Practice)

Sources Used in This Course
Recommended Sources
• Çelebioğlu, S. (2013) İstatistik, 4. Basımdan Çeviri, Nobel Akademik Yayıncılık Eğitim Danışmanlık Tic. Ltd. Şti., Ankara.
• Erbaş Oral, S. (2013) Olasılık ve İstatistik, 3. Baskı, Gazi Kitabevi, Ankara.
• Erili, N.A. (2014) İstatistik-1, Birinci Baskı, Şeçkin, Ankara.
• Köksal Aloba, B. (2003) İstatistik Analiz Metodları, 6. Baskı, Çağlayan Kitabevi, İstanbul.
• Ünver, Ö.; Gamgam, H.; Altunkaynak, B. (2013) Temel İstatistik Yöntemler, 7. Baskı, Seçkin, Ankara.

Relations with Education Attainment Program Course Competencies
Program RequirementsContribution LevelDK1DK2
PY1500
PY2500
PY3500
PY4500

*DK = Course's Contrubution.
0 1 2 3 4 5
Level of contribution None Very Low Low Fair High Very High
.

ECTS credits and course workload
Event Quantity Duration (Hour) Total Workload (Hour)
Course Duration (Total weeks*Hours per week) 14 2
Work Hour outside Classroom (Preparation, strengthening) 14 3
Presentation (Including Preparation Time) 1 2
Midterm Exam 1 2
Time to prepare for Midterm Exam 1 6
Final Exam 1 2
Time to prepare for Final Exam 1 12
Total Workload
Total Workload / 30 (s)
ECTS Credit of the Course
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Course Information
  • Course Information
  • Weekly Topics (Content)
  • Sources Used in This Course
  • Relations with Education Attainment Program Course Competencies
  • ECTS credits and course workload