stat 215 (Probability I)

Objectives  :
Students enrolled in this course will be able to:
a) Know the basic concept Introducing basic concepts of Random variables - Probability distributions (Discrete and continuous)
b) Knowledge of Famous discrete and continuous probability distributions – Random vectors.
c) Knowledge of Expectation and variation  - Discrete bivariate probability distributions - Marginal and conditional probability distributions - Independence, correlation and covariance - Moments and moment generating function.
d) Knowledge of Distributions of Function of one and two random variables.

2.  Briefly describe any plans for developing and improving the course that are being implemented.  (eg increased use of IT or web based reference material,  changes in content as a result of new research in the field)

• Utilizing a new textbook, in the trial phase (lecturer’s notes,) to be issued specifically for this course. This book entitled “Probability Distributions”. The topics of this book were collected from modern scientific material.
• Assigning number of approved reference books for this course.

Encourage students to look for and bring information about the topics of the course via the search in the internet.
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.  Topics to be Covered:
 -Random variables Probability distributions (Discrete and continuous)
-Famous discrete probability distributions
-Famous continuous probability distributions
-Random vectors.
-  Expectation and variation.
- Expectation and variation
- Discrete bivariate probability distributions.
-Marginal and conditional probability distributions.
-Independence, correlation and covariance.
- Moments and moment generating function
- Distributions of Function of one and two random variables
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Learning Resources:
1. Required Text(s)

• Probabilities Theory/ Dr. Jalal Mostafa Assyad,1427 A.H.,Haves Publications House Jeddah
• Introduction to the Statistical Theory/Dr. Ahmed Aodah/King Saud University 1411 A.H.
• Probabilities Theory and Its Applications/Dr. Mohammed Ibraheem Akeel, and Dr. Abdul-Rahman Mohammed Abu-Ammoah/ King Saud University 1421 A.H.,

2. Essential References
Modern Probability Theory and Its Applications: Emanuel Parzen, Wieley.
also
Probability & Statistics  for Engineers & Scientists ( take it from the following link)

http://folk.ntnu.no/jenswerg/40CEFd01.pdf

3. Recommended Books and Reference Material (Journals, Reports, etc) (Attach List) Look above.

4. Electronic Materials, Web Sites etc
Encourage students to look for and bring information about the topics of the course via the search in the internet.

5. Other learning material such as computer-based programs/CD, professional standards/regulations
It is preferable that the number of students does not exceed 30 in each section

good links
http://www.probabilitycourse.com/