Faculty of Science

Model (No 12)

Course Specification : Measurements Theory Operation Research

2010 - 2011

 
Farabi Quality Management of Education and Learning - 23/11/2024
University :Damietta University
Faculty :Faculty of Science
Department :الرياضيات
1- Course data :-
Code: 424ر
Course title: Measurements Theory Operation Research
Year/Level: رابعة رياضيات وعلوم حاسب
Program Title:
  • All Academic programmes
Specialization:
Teaching Hours: Theoretical: 2Tutorial: Practical:
2- Course aims :-
  1. 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.
  2. Are able to apply knowledge of Mathematics and Computer Science fundamentals, including programming, computer and data structures and computer networks.
3- Course Learning Outcomes :-
4- Course contents :-
NoTopicsWeek
1Dynamic Programming
2Introduction to non-linear programming problems
3Unconstrained optimization problems and Direct search algorithm
4Gradient algorithm
5Constrained optimization problems and separable programming
6Convex programming
7Quadratic programming
8Steepest Descent Method
9Newton’s Method
10Lagrange’s Multipliers Method
11Fractional objective function solving
12Geometric programming and applications of non-linear programming

5- Teaching and learning methods :-
SMethod
عدم وجود أجهزة للعرض المرئي
عدم وجود قاعات دراسية مناسبة

6- Teaching and learning methods of disables :-
  1. تعويد الطلاب على عمل سيمينار أسبوعيا للتخلص من صفة التردد والاضطراب وتنمية روح المغامرة والإقدام في الفكر والمناقشة
  2. طرح أسئلة علي الطلاب أثناء المحاضرة لتوظيف خبراتهم والاستفادة منها
  3. الوسيلة الوحيدة المتاحة للتدريس هي الطباشير والسبورة

7- Student assessment :-
A. Timing
NoMethodWeek
1من خلال عمل سيمينار2-
2اختبار منتصف الفصل الدراسي6-
3اختبار آخر الفصل الدراسي الأخير
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
1لا يوجد

9- Matrix of knowledge and skills of the course
SContentStudy week
Dynamic Programming
Introduction to non-linear programming problems
Unconstrained optimization problems and Direct search algorithm
Gradient algorithm
Constrained optimization problems and separable programming
Convex programming
Quadratic programming
Steepest Descent Method
Newton’s Method
Lagrange’s Multipliers Method
Fractional objective function solving
Geometric programming and applications of non-linear programming

Course Coordinator(s): -
  1. محمد مهدى فرج بدر
Head of department: -
محمد أحمد أنور محمد الشهاوى