Course Information

Course Information
Course Title Code Language Type Semester L+U Hour Credits ECTS
Numerical Analysis II MAT308 Turkish Compulsory 6. Semester 2 + 2 3.0 5.0
Prerequisite Courses
Course Level Undergraduate
Mode of delivery Lecturing
Course Coordinator Prof. Dr. FUAT USTA
Instructor(s)
Goals 1.To give basic datas about lecture. 2.To gain technical datas which will be able to produce appropriate solution for the problems that interest the lecture and require solution
Course Content Solutions of nonlinear equations;Pade approximations;Interpolation by spline functions; High order approximation formulas for derivatives; Numerical integration: Recursive rules and Romberg integration; Numerical solutions of the initial value problems for second order differential equations; Finite-difference and shooting methods; Numerical solutions of parabolic,elliptic and hyperbolic differential equations; Eigenvalues and eigenvectors
Learning Outcomes
# Öğrenme Kazanımı
1 The students gain primary informations about the mathematics
Lesson Plan (Weekly Topics)
Week Topics/Applications Method
1. Week Solutions of nonlinear equations: Aitken’s process and Steffensen’s and Muller’s methods
2. Week Pade approximations, Interpolation by spline functions.
3. Week Pade approximations, Interpolation by spline functions.
4. Week High order approximation formulas for derivatives
5. Week Numerical integration: Recursive rules and Romberg integration
6. Week Numerical solutions of the initial value problems for second order differential equations
7. Week Numerical solutions of the initial value problems for second order differential equations
8. Week Mid-term Exam
9. Week Finite Difference and Shooting Methods
10. Week Numerical solutions of parabolic differential equations
11. Week Numerical solutions of elliptic differential equations
12. Week Numerical solutions of hyperbolic differential equations
13. Week Numerical solutions of hyperbolic differential equations
14. Week Eigenvalues and eigenvectors
*Midterm and final exam dates are not specified in the 14-week course operation plan. Midterm and final exam dates are held on the dates specified in the academic calendar with the decision of the University Senate.
The Matrix for Course & Program Learning Outcomes
No Program Requirements Level of Contribution
1 2 3 4 5
1 Possesses theoretical and applied knowledge of the fundamental areas of mathematics (Analysis and Function Theory, Algebra and Number Theory, Geometry, Applied Mathematics, Topology and Foundations of Mathematics, and Mathematical Logic).
2 Explains the historical development of mathematical concepts, their relationship with other branches of science, and their application areas.
3 Defines mathematical problems, selects appropriate methods, and solves them using analytical/numerical techniques.
4 Constructs mathematical expressions with logical integrity and reaches conclusions using proof methods.
5 Formulates and interprets real-life problems by performing mathematical modeling.
6 Effectively uses information technologies and mathematical software in data analysis and computation processes.
7 Takes responsibility in individual or team work; plans and executes projects.
8 Follows current developments in their field; improves themselves with a lifelong learning awareness.
9 Expresses mathematical ideas verbally and in writing clearly and in accordance with academic rules.
10 Acts in accordance with professional and academic ethical values; acts with a sense of social responsibility.
Relations with Education Attainment Program Course Competencies
Program Requirements DK1
PY1 4
PY2 5
PY3 4
PY4 4
PY5 1
PY6 1
PY7 5
PY8 5
PY9 2
PY10 5
PY11 1
PY12 5
PY13 4
PY14 2
PY15 4
Recommended Sources
Ders Kitabı veya Notu Ders Kitabı veya Ders Notu bulunmamaktadır.
Diğer Kaynaklar
  • 1.Kincaid D, Cheney Word, Numerical Analysis, California: Brooks/Cole Publ.Comp.1990.
  • 2.Richard L. Burden, J.Douglas Faires. Numerical Analysis,PWS-KENT Pub.Com.., 1989.
ECTS credits and course workload
ECTS credits and course workload Quantity Duration (Hour) Total Workload (Hour)
Ders İçi
Class Hours 14 4 56
Sınavlar
Midterm 1 2 2
Homework 14 1 14
Final 1 2 2
Practice 14 2 28
Practice End-Of-Term 14 2 28
Classroom Activities 14 2 28
Total Workload 158
*AKTS = (Total Workload) / 25,5 ECTS Credit of the Course 5.0