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 Class Hours
2. Week Pade approximations, Interpolation by spline functions. Class Hours
3. Week Pade approximations, Interpolation by spline functions. Class Hours
4. Week High order approximation formulas for derivatives Class Hours
5. Week Numerical integration: Recursive rules and Romberg integration Class Hours
6. Week Numerical solutions of the initial value problems for second order differential equations Class Hours
7. Week Numerical solutions of the initial value problems for second order differential equations Class Hours
8. Week Mid-term Exam Class Hours
9. Week Finite Difference and Shooting Methods Class Hours
10. Week Numerical solutions of parabolic differential equations Class Hours
11. Week Numerical solutions of elliptic differential equations Class Hours
12. Week Numerical solutions of hyperbolic differential equations Class Hours
13. Week Numerical solutions of hyperbolic differential equations Class Hours
14. Week Eigenvalues and eigenvectors Class Hours
*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 Acquiring knowledge on theories and practice of education in general, subject teaching in particular, and the basic concepts and theories of the related disciplines,
2 Knowing how to obtain information geared towards lifelong learning,
3 Doing effective educational planning, organizing and evaluating based on theoretical and practical content matter and in relation to the needs of the learners,
4 Utilizing educational technologies in a variety of educational settings,
5 Analyzing studies in the field with a scientific perspective, assessing the findings and offering solutions,
6 Acquiring academic literacy and minimum B1 level competence at a foreign language in order to pursue the global developments in the area of study,
7 Pursuing the scientific discussions in the field and interpreting them through scientific examination,
8 Forming scientific study platforms in order to solve the problems in practice,
9 Preparing and conducting solution-based projects in response to social problems in an effort to contribute to the School-Society collaboration
10 Following the developments in the field through professional activities such as literature reviews, seminars, conferences and workshops, and sharing them with other expert and non-expert individuals,
11 Being an innovative and self-confident intellectual with a sense of society, environment, social justice and respect for ethical values.
12 To be able to analyse the notions and ideas in the field by using scientific methods, to identify problems, and to develop solutions based on proofs and researches
13 To be able to gain ability of doing academic research
14 To be able to work interactively
15 To be able gain necessary computer software for further studies
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 1 2 2
Homework 1 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