Faculty of Science

Model (No 12)

Course Specification : مقرر إختيارى (1) - معمل إحصائى

2010 - 2011

 
Farabi Quality Management of Education and Learning - 21/11/2024
University :Mansoura University
Faculty :Faculty of Science
Department :Mathematics Department
1- Course data :-
Code: 15301
Course title: مقرر إختيارى (1) - معمل إحصائى
Year/Level: ثالثة الإحصاء وعلوم الحاسب
Program Title:
  • Statistics & Computer science
Specialization:
Teaching Hours: Theoretical: 3Tutorial: 1Practical: 4
2- Course aims :-
  1. Introduce types of samples, sample size.
  2. Use the random numbers in selecting a sample random sample. Monte- Carlo method as a technique for making a simulation.
  3. Estimate the population parameters and determining the sample size.
  4. Using SPSS for representing the data and calculating the statistical measurements .
3- Course Learning Outcomes :-
4- Course contents :-
NoTopicsWeek
1Random numbers and selection of a random sample units.
2Types of samples: simple random sample, stratified, systematic and cluster samples .
3Estimation of population parameters determination of sample size.
4Introduction to SPSS, data coding, entry and checking.
5Representation of statistical data.
6Statistical applications using SPSS and Monte-Carlo techniques.

5- Teaching and learning methods :-
SMethod
Borde and normal teaching method.
Computer labs.

6- Teaching and learning methods of disables :-
  1. -

7- Student assessment :-
A. Timing
NoMethodWeek
1Practical exam.14
2Final exam. 15
3Oral exam .15
B. Degree
NoMethodDegree
1Mid_term examination0
2Final_term examination70
3Oral examination 10
4Practical examination 20
5Semester work0
6Other types of asessment0
Total100%

8- List of books and references
SItemType
1Department out in this course
2George A.M. , Nancy L. and Karen, C.B.(2004). SPSS for introductory statistics- use and interpretation, 2nd Edition, Mahwah, New Jersey, London.

9- Matrix of knowledge and skills of the course
SContentStudy week
Random numbers and selection of a random sample units.
Types of samples: simple random sample, stratified, systematic and cluster samples .
Estimation of population parameters determination of sample size.
Introduction to SPSS, data coding, entry and checking.
Representation of statistical data.
Statistical applications using SPSS and Monte-Carlo techniques.

Course Coordinator(s): -
  1. Beh Elsaid Eldesouqy Belal
Head of department: -
Ahmed Habeb Mohamed Nageb Elbassiony