GAZI UNIVERSITY INFORMATION PACKAGE - 2019 ACADEMIC YEAR

COURSE DESCRIPTION
NUMERICAL ANALYSIS/MAT-202
Course Title: NUMERICAL ANALYSIS
Credits 3 ECTS 4
Course Semester 4 Type of The Course Compulsory
COURSE INFORMATION
 -- (CATALOG CONTENT)
 -- (TEXTBOOK)
 -- (SUPPLEMENTARY TEXTBOOK)
 -- (PREREQUISITES AND CO-REQUISITES)
 -- LANGUAGE OF INSTRUCTION
  Turkish
 -- COURSE OBJECTIVES
 -- COURSE LEARNING OUTCOMES
Attended this course students learn the error analysis.
The students attended this course are able to numerical solution of linear equations system.
The students attended this course are able to numerical solution of nonlinear equation and nonlinear systems.
The students attended this course are able to numerical solution of enterpolation and curve fitting.
The students attended this course are able to numerical solution of numerical derrivative and numerical integral.
The students attended this course are able to numerical solution of initial value problems.
The students attended this course are able to have information about simple difference equations.

 -- MODE OF DELIVERY
  The mode of delivery of this course is Face to face
 --WEEKLY SCHEDULE
1. Week  Numerical solution in engineering, Errors Analysis
2. Week  Computer representations of numbers, integers and floating-point numbers (IEEE notations) Errors due to these impressions.
3. Week  Numerical solution methods of linear equation systems.
4. Week  The eigenvalue problem is the approximation of the largest and smallest eigenvalue.
5. Week  Numerical solution methods of nonlinear equations
6. Week  Numerical solution methods of nonlinear equations
7. Week  Numerical solution methods of nonlinear equation systems.
8. Week  Midterm exam. Interpolation Concept, forward difference, backward difference, central difference and their tables
9. Week  Forward and Backward difference interpolation polynomials based on Finite Difference.
10. Week  Curve Fitting, Least Squares Method.
11. Week  Numerical differentiation methods.
12. Week  Numerical integral methods.
13. Week  Initial Value Problems, Euler Methods, Runge-Kutta Methods.
14. Week  Discret Equations
15. Week  
16. Week  
 -- TEACHING and LEARNING METHODS
 -- ASSESSMENT CRITERIA
 
Quantity
Total Weighting (%)
 Midterm Exams
1
80
 Assignment
1
20
 Application
0
0
 Projects
0
0
 Practice
0
0
 Quiz
0
0
 Percent of In-term Studies  
60
 Percentage of Final Exam to Total Score  
40
 -- WORKLOAD
 Activity  Total Number of Weeks  Duration (weekly hour)  Total Period Work Load
 Weekly Theoretical Course Hours
14
3
42
 Weekly Tutorial Hours
0
 Reading Tasks
14
1
14
 Searching in Internet and Library
14
1
14
 Material Design and Implementation
0
 Report Preparing
0
 Preparing a Presentation
0
 Presentation
0
 Midterm Exam and Preperation for Midterm Exam
8
2
16
 Final Exam and Preperation for Final Exam
6
2
12
 Other (should be emphasized)
2
1
2
 TOTAL WORKLOAD: 
100
 TOTAL WORKLOAD / 25: 
4
 Course Credit (ECTS): 
4
 -- COURSE'S CONTRIBUTION TO PROGRAM
NO
PROGRAM LEARNING OUTCOMES
1
2
3
4
5
1Adequate knowledge in mathematics, science and related engineering discipline; ability to use theoretical and practical knowledge in these areas in complex engineering problems.X
2An ability to identify, formulate, and solve complex engineering problems; the ability to select and apply appropriate analysis and modeling methods for this purpose.X
3An ability to design a complex system, process, device, or product to meet specific requirements under realistic constraints and conditions; the ability to apply modern design methods for this purpose.X
4Ability to develop, select and use modern techniques and tools necessary for the analysis and solution of complex problems encountered in engineering applications; ability to use information technologies effectively.X
5Ability to design, conduct experiments, collect data, analyze and interpret results for the study of complex engineering problems or discipline-specific research topics.X
6Ability to work effectively in disciplinary and multidisciplinary teams; self-study skills.X
7Ability to communicate effectively in oral and written Turkish; knowledge of at least one foreign language; Ability to write effective reports and understand written reports, to prepare design and production reports, to make effective presentations, to give clear and understandable instruction and receiving skills.X
8Awareness of the necessity of lifelong learning; the ability to access information, follow developments in science and technology, and constantly renew oneself.X
9To act in accordance with ethical principles, professional and ethical responsibility awareness; information about standards used in engineering applications.X
10Information on business practices such as project management, risk management and change management; awareness about entrepreneurship and innovation; information on sustainable development.X
11Information about the effects of engineering applications on health, environment and safety in universal and social dimensions and the problems reflected in the engineering field of the age; awareness of the legal consequences of engineering solutions.X
 -- NAME OF LECTURER(S)
   (Assoc.Prof. H.Hüseyin SAYAN)
 -- WEB SITE(S) OF LECTURER(S)
   (http://w3.gazi.edu.tr/~hsayan)
 -- EMAIL(S) OF LECTURER(S)
   (hsayan@gazi.edu.tr)