GAZI UNIVERSITY INFORMATION PACKAGE - 2019 ACADEMIC YEAR

COURSE DESCRIPTION
PROBABILITY II/İST-102
Course Title: PROBABILITY II
Credits 3 ECTS 5
Semester 2 Compulsory/Elective Compulsory
COURSE INFO
 -- LANGUAGE OF INSTRUCTION
  English
 -- NAME OF LECTURER(S)
  Prof. Dr. M. Akif Bakır
 -- WEB SITE(S) OF LECTURER(S)
  http://websitem.gazi.edu.tr/site/mabakir
 -- EMAIL(S) OF LECTURER(S)
  mabakir@gazi.edu.tr
 -- LEARNING OUTCOMES OF THE COURSE UNIT
Çok boyutlu olasılık problemlerini çözebilme
Rassal değişkenlerin momentlerini bulabilme
Özel kesikli olasılık fonksiyonlarına ilişkin problemleri modelleyebilme ve çözebilme
Özel sürekli olasılık fonksiyonlarına ilişkin problemleri modelleyebilme ve çözebilme





 -- MODE OF DELIVERY
  Bu ders sadece yüz yüze eğitim şeklinde yürütülmektedir.
 -- PREREQUISITES AND CO-REQUISITES
  Bu dersin ön koşulu ya da eş koşulu bulunmamaktadır
 -- RECOMMENDED OPTIONAL PROGRAMME COMPONENTS
  Bu dersle ilişkili önerilen başka dersler bulunmamaktadır.
 --COURSE CONTENT
1. Week  Çok boyutlu rassal değişkenlerin olasılık fonksiyonları
2. Week  Çok boyutlu rassal değişkenlerin olasılık fonksiyonları
3. Week  Rassal değişkenlerin beklenen değeri
4. Week  Rassal değişkenlerin varyansı
5. Week  Kovaryans ve korelasyon
6. Week  Momentler (basıklık, çarpıklık) ve Moment çıkaran fonksiyon
7. Week  Bazı özel kesikli dağılımlar: Bernoulli ve Binom dağılımları
8. Week  Vize sınavı
9. Week  Bazı özel kesikli dağılımlar: Hipergeometrik dağılımı
10. Week  Bazı özel kesikli dağılımlar: Geometrik dağılım ve Paskal dağılımı
11. Week  Bazı özel kesikli dağılımlar: Çok terimli dağılım
12. Week  Bazı özel sürekli dağılımlar: Tekdüze dağılım
13. Week  Bazı özel sürekli dağılımlar: Üstel dağılım
14. Week  Bazı özel sürekli dağılımlar: Gamma dağılım
15. Week  Bazı özel sürekli dağılımlar: Normal dağılım
16. Week  Final
 -- RECOMMENDED OR REQUIRED READING
  1. Ross S. , 2010, First Course in Probability, 8th edition, Prentice Hall. 2. Akdeniz F. , 2007, Olasılık ve İstatistik, Nobel Kitabevi.
 -- PLANNED LEARNING ACTIVITIES AND TEACHING METHODS
  Anlatım, Soru-yanıt, Uygulama-Araştırma
 -- WORK PLACEMENT(S)
  YOK
 -- ASSESSMENT METHODS AND CRITERIA
 
Quantity
Percentage
 Mid-terms
1
25
 Assignment
4
15
 Exercises
0
0
 Projects
0
0
 Practice
0
0
 Quiz
0
0
 Contribution of In-term Studies to Overall Grade  
40
 Contribution of Final Examination to Overall Grade  
60
 -- WORKLOAD
 Efficiency  Total Week Count  Weekly Duration (in hour)  Total Workload in Semester
 Theoretical Study Hours of Course Per Week
14
3
42
 Practising Hours of Course Per Week
14
1
14
 Reading
14
1
14
 Searching in Internet and Library
4
2
8
 Designing and Applying Materials
0
 Preparing Reports
0
 Preparing Presentation
0
 Presentation
0
 Mid-Term and Studying for Mid-Term
2
13
26
 Final and Studying for Final
2
15
30
 Other
0
 TOTAL WORKLOAD: 
134
 TOTAL WORKLOAD / 25: 
5.36
 ECTS: 
5
 -- COURSE'S CONTRIBUTION TO PROGRAM
NO
PROGRAM LEARNING OUTCOMES
1
2
3
4
5
11. The statistical textbooks which include latest information about statistics, equipment and other resources supported by scientific approach on undergraduate level have theoretical and practical knowledge.X
22. Statisticians by using knowledge and skills acquired at bachelor degree level model, analyze, and interpret datasets.X
33. Statisticians identify and analyze the problems with current developments in statistic and also develop solutions based upon researches and proofs.X
44. Statisticians apply theoretical and practical knowledge acquired in Statistics at bachelor degree level to the current problems.X
55. Statisticians have the ability to use computer software and computing technology at the certain level required by statistics field.X
66. Statisticians take responsibility at disciplinary and interdisciplinary studies as an individual or a team member.X
77. Statisticians must have knowledge and ability to follow development in the field of Statistics, and must develop life long-learning attitudes.X
88. By using a foreign language, statistician can keep track of every statistical information, and communicate with colleagues.X
99. Applying the statistical knowledge in the professional sense, statistician has social, scientific, and ethical values.X
1010. A statistician must have the ability to social sensitivity and socialization.X
1111. During the process of inference, a statistician uses time efficiently with the analytical thinking ability.X