University :Damietta University |
Faculty :Faculty of Commerce |
Department :قسم الاحصاء |
|
1- Course data :- |
| Code: | 5 | Course title: | نظرية الاحتمالات | Year/Level: | ثالثة الاحصاء | Program Title: | - بكالوريوس الاحصاء التطبيقى
| Specialization: | | Teaching Hours: | Theoretical: | 4 | Tutorial: | 2 | Practical: | |
|
2- Course aims :- |
| - اكساب الطالب خلفية جيدة عن نظرية الاحتمالات وكيفية استخدامها في الواقع العملي
|
3- Course Learning Outcomes :- |
| |
4- Course contents :- |
| No | Topics | Week |
---|
1 | Random Variable, Tchebycheff`s inequality Probability Distributions: Discrete & Continuous . | | 2 | Some cont. Prob. Distributions: Uniform, Binomial, Hyper Geometric, Geometric & Poisson distributions . | | 3 | Some cont. Prob. Distributions: Normal, Gamma, Exponential & Chi-Square distributions . | | 4 | Expectation of random variable, Expectation of a function of random variables . | | 5 | Moment Generating Function, Characteristic Function & Factorial Probability Function . | | 6 | Markov Chains . | | 7 | Set Theory . | | 8 | Introduction to Probability . | | 9 | Conditional Probability and Independence . | |
|
|
5- Teaching and learning methods :- |
| S | Method |
---|
| المحاضرات | | المناقشات وحل التمارين |
|
|
6- Teaching and learning methods of disables :- |
| - لا يوجد
|
|
7- Student assessment :- |
| A. Timing |
| No | Method | Week |
---|
1 | امتحان نهاية الفصل الدراسي | 15 |
|
| B. Degree |
| No | Method | Degree |
---|
1 | Mid_term examination | 0 | 2 | Final_term examination | 100 | 3 | Oral examination | 0 | 4 | Practical examination | 0 | 5 | Semester work | 0 | 6 | Other types of asessment | 0 | Total | 100% |
|
|
8- List of books and references |
| S | Item | Type |
---|
1 | Introduction to mathmatical satatistics:Ropert V.Hogg ,Allen T.Craig | |
|
|
9- Matrix of knowledge and skills of the course |
| S | Content | Study week |
---|
| Random Variable, Tchebycheff`s inequality Probability Distributions: Discrete & Continuous . | | | Some cont. Prob. Distributions: Uniform, Binomial, Hyper Geometric, Geometric & Poisson distributions . | | | Some cont. Prob. Distributions: Normal, Gamma, Exponential & Chi-Square distributions . | | | Expectation of random variable, Expectation of a function of random variables . | | | Moment Generating Function, Characteristic Function & Factorial Probability Function . | | | Markov Chains . | | | Set Theory . | | | Introduction to Probability . | | | Conditional Probability and Independence . | |
|
|
Course Coordinator(s): - |
| - Amaal El Sayed Abd El Ghany Mobarak
|
Head of department: - |
| مرفت طلعت محمد المحلاوى |