GAZI UNIVERSITY INFORMATION PACKAGE - 2019 ACADEMIC YEAR

COURSE DESCRIPTION
Elective Course-1 (Numerical Calculus) /MTÖ211
Course Title: Elective Course-1 (Numerical Calculus)
Credits 2 ECTS 4
Course Semester 3 Type of The Course Elective
COURSE INFORMATION
 -- (CATALOG CONTENT)
 -- (TEXTBOOK)
 -- (SUPPLEMENTARY TEXTBOOK)
 -- (PREREQUISITES AND CO-REQUISITES)
 -- LANGUAGE OF INSTRUCTION
  Turkish
 -- COURSE OBJECTIVES
 -- COURSE LEARNING OUTCOMES
Be able to determine roots of higher order equations numerically.
Be able to have a basic knowledge of numerical interpolation and approximation of functions.
Be able to have a basic knowledge of numerical integration and differentiation.
Be able to be familiar with numerical solution of ordinary differential equations.
Be able to do error analysis.

 -- MODE OF DELIVERY
  The mode of delivery of this course is Face to face.
 --WEEKLY SCHEDULE
1. Week  Basic definitions, Taylor polynomials
2. Week  Rootfinding, bisection method
3. Week  Newton`s method, fixed point iteration
4. Week  Polynomial interpolation, Divided differences, Error in polynomial interpolation
5. Week  Approximation problems, error
6. Week  Numerical integration, the trapezoidal and Simpson rules
7. Week  Error formulas, Gaussian numerical integration method
8. Week  Midterm Exam
9. Week  Numerical differentiation, Differentiation by interpolation
10. Week  An introduction to numerical solutions to differential equations
11. Week  Euler’s method, convergence
12. Week  Taylor and Runge-Kutta methods
13. Week  Taylor and Runge-Kutta methods
14. Week  Preparing for Final Exam
15. Week  Final Exam
16. Week  
 -- TEACHING and LEARNING METHODS
 -- ASSESSMENT CRITERIA
 
Quantity
Total Weighting (%)
 Midterm Exams
1
40
 Assignment
0
0
 Application
0
0
 Projects
0
0
 Practice
0
0
 Quiz
0
0
 Percent of In-term Studies  
40
 Percentage of Final Exam to Total Score  
60
 -- WORKLOAD
 Activity  Total Number of Weeks  Duration (weekly hour)  Total Period Work Load
 Weekly Theoretical Course Hours
14
2
28
 Weekly Tutorial Hours
0
 Reading Tasks
10
3
30
 Searching in Internet and Library
0
 Material Design and Implementation
0
 Report Preparing
7
4
28
 Preparing a Presentation
0
 Presentation
0
 Midterm Exam and Preperation for Midterm Exam
1
4
4
 Final Exam and Preperation for Final Exam
2
4
8
 Other (should be emphasized)
0
 TOTAL WORKLOAD: 
98
 TOTAL WORKLOAD / 25: 
3.92
 Course Credit (ECTS): 
4
 -- COURSE'S CONTRIBUTION TO PROGRAM
NO
PROGRAM LEARNING OUTCOMES
1
2
3
4
5
1Acquisition of scientific thinking skillsX
2Making research and investigation independentlyX
3Acquisition of carefully observing and analytically thinking skillsX
4Acquisition of learning and teaching mathematics problemsX
5Comprehending, applying and explaining the importance of mathematical conceptsX
6Developing the thinking, producing, argumenting and probing abilitiesX
7Having the algorithm and sotftware writing abilities for solving computer supported problemsX
8Developing the ability of reaching information, evaluating and presenting informationX
9Improving yourself parallel to the developing technologyX
10Understands the disciplinary structure of mathematics, its historical development, related philosophical approaches and problems.
 -- NAME OF LECTURER(S)
   (Related Instructor)
 -- WEB SITE(S) OF LECTURER(S)
   (..)
 -- EMAIL(S) OF LECTURER(S)
   (..)