Faculty of Science

Model (No 12)

Course Specification : مقدمة فى الإحصاء والإحتمالات

2010 - 2011

 
Farabi Quality Management of Education and Learning - 22/12/2024
University :Mansoura University
Faculty :Faculty of Science
Department :Mathematics Department
1- Course data :-
Code: 111201
Course title: مقدمة فى الإحصاء والإحتمالات
Year/Level: ثانية رياضه
Program Title:
  • Mathematics
Specialization:
Teaching Hours: Theoretical: 2Tutorial: 2Practical:
2- Course aims :-
  1. • 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.
3- Course Learning Outcomes :-
4- Course contents :-
NoTopicsWeek
1Descriptive statistics - Measures of central tendency-Measures of dispersion
2 elementry probability , combinatorial analysis, conditional probability, independence and Bayes formula
3Random variables (discrete and continuous),
4probabitity distributions
5moments of random variables
6comulative distribution function and its properties
7discrete probability distributions

5- Teaching and learning methods :-
SMethod
Lectures
tutorials classes

6- Teaching and learning methods of disables :-
  1. all the students are normal due to the natural of the study

7- Student assessment :-
A. Timing
NoMethodWeek
1Oral14
2final15
B. Degree
NoMethodDegree
1Mid_term examination0
2Final_term examination90
3Oral examination 10
4Practical examination 0
5Semester work0
6Other types of asessment0
Total100%

8- List of books and references
SItemType
1Depart. course notes
2 Introductory Mathematical statistics (Erwin Kreyszig)
3Theory and problems in statistics (Schaum Series)

9- Matrix of knowledge and skills of the course
SContentStudy week
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

Course Coordinator(s): -
  1. Adela Othman Mostafa Ebrahim
Head of department: -
Ahmed Habeb Mohamed Nageb Elbassiony