University :Mansoura University |
Faculty :Faculty of Science |
Department :Mathematics Department |
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1- Course data :- |
| Code: | 111201 | Course title: | مقدمة فى الإحصاء والإحتمالات | Year/Level: | ثانية رياضه | Program Title: | | Specialization: | | Teaching Hours: | Theoretical: | 2 | Tutorial: | 2 | Practical: | |
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2- Course aims :- |
| - • The main purpose of this course is to provide students by the basic concepts of statistics and probability such as displaying the data, central tendency, dispersion, simple regression, probability and types of random variables. Thus the student will be able to intend high level statistics and probability courses.
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3- Course Learning Outcomes :- |
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4- Course contents :- |
| No | Topics | Week |
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1 | Descriptive statistics - Measures of central tendency-Measures of dispersion | | 2 | elementry probability , combinatorial analysis, conditional probability, independence and Bayes formula | | 3 | Random variables (discrete and continuous), | | 4 | probabitity distributions | | 5 | moments of random variables | | 6 | comulative distribution function and its properties | | 7 | discrete probability distributions | |
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5- Teaching and learning methods :- |
| S | Method |
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| Lectures | | tutorials classes |
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6- Teaching and learning methods of disables :- |
| - all the students are normal due to the natural of the study
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7- Student assessment :- |
| A. Timing |
| No | Method | Week |
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1 | Oral | 14 | 2 | final | 15 |
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| B. Degree |
| No | Method | Degree |
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1 | Mid_term examination | 0 | 2 | Final_term examination | 90 | 3 | Oral examination | 10 | 4 | Practical examination | 0 | 5 | Semester work | 0 | 6 | Other types of asessment | 0 | Total | 100% |
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8- List of books and references |
| S | Item | Type |
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1 | Depart. course notes | | 2 | Introductory Mathematical statistics (Erwin Kreyszig) | | 3 | Theory and problems in statistics (Schaum Series) | |
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9- Matrix of knowledge and skills of the course |
| S | Content | Study week |
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| Descriptive statistics - Measures of central tendency-Measures of dispersion | | | elementry probability , combinatorial analysis, conditional probability, independence and Bayes formula | | | Random variables (discrete and continuous), | | | probabitity distributions | | | moments of random variables | | | comulative distribution function and its properties | | | discrete probability distributions | |
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Course Coordinator(s): - |
| - Adela Othman Mostafa Ebrahim
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Head of department: - |
| Ahmed Habeb Mohamed Nageb Elbassiony |