نظرية الاحتمالات(367)(الجزء الاول) 367
سيتم شرح المقرر كامل بإذن الله هذا الترم الثاني (1445) لان المنهج تغبر بالكامل الجزء الاول للتواصل تليحرام @Om_ga
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- مقدمه هامه
- مراجعات هامه على أسس الاشتقاق +التكامل
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Lecture 1 : Review of probability
- Sample space , event 25:02
- Operations of events 21:54
- Axiom of probability 12:41
- Example 1-1-3 , 1-1-4 , 1-1-5 24:47
- Conditional probability : Example. 1-3-2 , 1-3-3 , 1-3-4 18:08
- Multiplication rule: Example 1-3-6 08:47
- independent event : Example 1-4-1 , 1-4-2 , 1-4-3 26:19
- Mutually independent events 01:23
- ملخص القوانين 10:25
- Exercise : 1-1-1 , 1-1-5 , 1-1-6 , 1-1-7 30:16
- Exercise : 1-3-1 , 1-3-3 , 1-3-14 27:42
- Exercise : 1-4-1 , 1-4-2 , 1-4-5 , 1-4-9 16:38
- مراجعة : lecture 1
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Lecture 2 : Discrete and continuous distribution
- random variables 16:02
- probability mass function and cumulative distribution function 22:28
- Example (3-10)مهم 19:49
- Probability density functions , cumulative distribution function 30:05
- Exepected value and variance of discrete R.V 24:29
- Exepected value and variance of continues R.V 10:24
- Exepected value of g(x) and properties of (expected value , variance ) 19:28
- Moment generation function 23:29
- ملخص القوانين 13:44
- Exercise : (2-1-3) a , b , d 15:32
- Exercise : 2-2-1 , 2-2-2 , 2-2-3 26:14
- Exercise : 2-3-1 , 2-3-3 20:05
- Exercise 2-3-19 15:52
- Exercise 3-13 , 3-18 , 3-20 21:14
- exercise 3-12 09:47
- exercise 3-21 09:16
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مراجعة : lecture 2
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Lecture 3 :discrete and continues distribution
- Binomial distribution : Example 5-1 , 5-5 , 5-5 36:30
- Poisson distribution: Example. 5-17 , 5-18 22:58
- Exponential distribution : Example 6-17 , 3-2.3
- Normal distribution : Example 6-2 , 6-4
- Example : 3-3-1 , 3-3-2
- ملخص القوانين
- Exercise : 2-4-1 , 2-4-5 20:12
- Exercise : 2-6-1 , 2-6-2 18:33
- Exercise : 2-6-3, 2-6-4 11:29
- Exercise 3-2-2 , 3-2-5 35:23
- Exercise 3-3-1 , 3-3-3 14:55
- Exercise 3-3-5 , 3-3-6 16:40
- مراجعة : lecture 3
- Quiz1 (lecture 1, 2 , 3)✨
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Lecture 4
- Joint probability mass function 00:00
- The Marginal probability mass function 19:25
- Mathematical expectations of bivariate R.V 21:13
- Example (4-3-1) 28:31
- Conditional distribution 17:12
- Expectation conditional, variance conditional 12:34
- ملخص القوانين 09:28
- Exercise (4-1-1 , 4-1-3) 20:07
- Exercise (4-2-1) 18:11
- Exercise (4-2-2) 17:16
- Exercise (4-3-2) 24:46
- مراجعه : Lecture 4
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Lecture 5
- Marginal pdfs : example (4-4-1) 15:43
- Mean and variance of jpdf example (4-4-1) 17:16
- Example (4-4-2) 18:52
- Independent RV : Example (4-4-4) 09:22
- Covariance and correlation :example (4-4-5) 33:42
- The conditional pdf : Example (4-4-6) 19:05
- bivariate normal distribution ملخص 20:26
- bivariate normal distribution : (4-5-1 , 4-5-2) 17:18
- ملخص القوانين 26:08
- Exercise (4-4-1) 23:00
- Exercise (4-4-5) 14:35
- exercise (4-4-6) 25:43
- Exercise (4-4-8) 16:04
- Exercise (4-5-1) 18:03
- Exercise (4-5-3 , 4-5-4) 14:44
- مراجعه : Lecture 5
- نموذج ميد العام الماضي
- سيتم شرح المقرر كامل بإذن الله هذا الترم الثاني (1445) لان المنهج تغبر بالكامل الجزء الاول للتواصل تليحرام @Om_gana123 سيتم شرح المقرر بالكامل من جديد ان شاءالله لان المنهج تغير بالكامل
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Eng: Sally. Faculty of Engineering. Al.kahra University. graduated at 2010 with Excellent grade. Master degree in MATH and Statistics. 10 years teaching Experience for the subjects of MATH and Statistics in Saudi Arabia. Online Education Experience with all Universities: Princess Noura university, AL-IMAM university and King Saud university
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