Course Description form
Course Title
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English Code /No
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ARABIC code/no.
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credits
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Th.
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Pr.
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Tr.
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TCH
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NUMERICAL ANALYSIS
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MATH 422
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2
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1
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3
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Pre-requisites
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Math204 & Math241
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Brief contents, to be posted in university site and documents(4-5 lines):
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to improve the students skills in programming through computers and also using soft ware of mathematical packages such as Mathematica and MatLab. Interpolation. Differentiation. Integration. Programming.
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Faculties and departments requiring this course (if any): College of sciences (stats and physics).
Objectives: Prefer In points
1-providing numerical methods
2-linear programming skills
Contents: Prefer In points
1-interpolation
2-Differentiation
3-integration
4- Programming
Course Outcomes:
A- Knowledge:
(Specific facts and knowledge of concepts, theories, formula etc.)
Students will know how to solve nonlinear equations, how to interpolate, how to differentiate and integrate functions numerically.
B-Cognitive Skills:
(Thinking, problem solving )
Concentration, Perception, applications and evaluation.
C- Interpersonal skills and responsibilities:
(group participation, leadership, personal responsibility , ethic and moral behavior, capacity for self directed learning)
Interpersonal skills are all behaviors and feelings that exist within all of us that influence our interactions with others. Healthy interpersonal skills reduce stress, reduce conflict, improve communication, enhance intimacy, increase understanding and promote joy.
D- Analysis and communication:
(communication, mathematical and IT skills)
Communication skills are the most important when we talk about winning the hearts. We may improve interpersonal skills with students by using technical skills too, i.e. ability to work with latest teaching aids like computers, multimedia or other technical equipments.
Assessment methods for the above elements:
These skills are assessed through coursework and written examinations.
Text book: Only one
R. BURDEN, and J.D. FAIRES, NUMERICAL ANALYSIS
Supplementary references
W.CHENEY and D.KINCAID, NUMERICAL MATHEMATICS AND COMPUTING.
Time table for distributing Theoretical course contents
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Remarks
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Experiment
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weak
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INTERPOLATION ( DIRECT METHOD)
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1
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LAGRANGES AND NEWTONS METHODS
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2
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NUMERICAL DIFFERENTIATION
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3
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INTEGRATION ( TRAPEZUM RULE)
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4
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MID-POINT RULE AND SIMPSONS RULE
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5
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REVISION
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6
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FIRST EXAM
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7
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NON _LINEAR EQUATIONS ( METHOD OF BISECTION)
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8
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METHOD OF FALSE POSITION AND SECANT METHOD
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9
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NEWTONS RAPHSONS METHOD
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10
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GENERAL ITRATIVE METHOD
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11
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REVISION
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12
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SECOND EXAM
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13
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PROGRAMMING
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14
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REVISION
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15
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Final exam.
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