Faculty of Science

Model (No 12)

Course Specification : Programming System Analysis & Databases

2010 - 2011

 
Farabi Quality Management of Education and Learning - 21/11/2024
University :Damietta University
Faculty :Faculty of Science
Department :الرياضيات
1- Course data :-
Code: 422ر
Course title: Programming System Analysis & Databases
Year/Level: رابعة رياضيات وعلوم حاسب
Program Title:
  • All Academic programmes
Specialization:
Teaching Hours: Theoretical: 4Tutorial: Practical: 2
2- Course aims :-
  1. Recognize the role of Basic Sciences in the development of society.
  2. Develop scientific approaches that meet community needs considering economic, environmental, social, ethical, and safety requirements.
  3. Have the basic skills and knowledge (Mathematics and Computer Science, problem solving skills, analytical skills, communication skills and flexibility) necessary for a successful career in Mathematics/Computer Science.
3- Course Learning Outcomes :-
4- Course contents :-
NoTopicsWeek
1Basic concepts in pottem recognition
2Decisisn functions
3Classification by distance functions
4Clustering
5Feature selection
6Concepts of object oriented
7Programming classification algorithms
8Programming clustering algorithms

5- Teaching and learning methods :-
SMethod
تعويد الطلاب على عمل سيمينار أسبوعيا للتخلص من صفة التردد والاضطراب وتنمية روح المغامرة والإقدام في الفكر والمناقشة
طرح أسئلة علي الطلاب أثناء المحاضرة لتوظيف خبراتهم والاستفادة منها

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

7- Student assessment :-
A. Timing
NoMethodWeek
1من خلال عمل سيمينار1-12
2اختبار منتصف الفصل الدراسي6
3حل بعض التمارين1-12
4اختبار آخر الفصل الدراسي الأخير
B. Degree
NoMethodDegree
1Mid_term examination0
2Final_term examination60
3Oral examination 5
4Practical examination 30
5Semester work0
6Other types of asessment5
Total100%

8- List of books and references
SItemType
1Introduction to pattern recognition ,statistical,structural,neural and fuzzy logic approaches,Menahem Friedman, Abraham Kandel.

9- Matrix of knowledge and skills of the course
SContentStudy week
Basic concepts in pottem recognition
Decisisn functions
Classification by distance functions
Clustering
Feature selection
Concepts of object oriented
Programming classification algorithms
Programming clustering algorithms

Course Coordinator(s): -
  1. على حسن على الباز
Head of department: -
محمد أحمد أنور محمد الشهاوى