Welcome,
Guest
.
Login
.
Türkçe
NİNOVA
COURSES
HELP
ABOUT
Where Am I:
Ninova
/
Courses
/
Institute of Informatics
/
HBM 512
/
Course Informations
Return to Faculty
Home Page
Course Information
Course Weekly Lecture Plan
Course Evaluation Criteria
Course Information
Course Name
Turkish
Bilimsel Hesaplama II
English
Scientific Computing II
Course Code
HBM 512
Credit
Lecture
(hour/week)
Recitation
(hour/week)
Laboratory
(hour/week)
Semester
1
3
3
-
-
Course Language
Turkish
Course Coordinator
Süha Tuna
Course Objectives
This course aims to provide students with the necessary theoretical knowledge and practical experience to effectively solve computational problems encountered in various fields of science and engineering.
Course Description
1. Giving information about the scope and applications of scientific computing
2. Providing sufficient mathematical background to understand the algorithms used in scientific calculations.
3. To convey information about the condition number, convergence rate and stability of scientific computing problems and related algorithms.
4. Teaching numerical algorithms for problems that cannot be solved by direct methods in science and engineering
5. Improving students' skills in developing, applying and analyzing numerical algorithms with various scientific programming languages
Course Outcomes
1. To know about the interpolation techniques
2. Gaining insight and knowledge on numerical differentiation
3. To know numerical integration rules and gain application experience
4. Acquiring knowledge about numerical solution methods of ordinary differential equations
5. Obtaining information about numerical solution techniques of partial differential equations
Pre-requisite(s)
Required Facilities
Other
Textbook
1) W. Gander, M. J. Gander, F. Kwok, (2014) “Scientific Computing”, Springer.
2) A. Tveito, H. P. Langtangen, B. F. Nielsen, X. Cai (2010) “Elements of Scientific Computing”, Springer.
3) G. Strang (2007) “Computational Science and Engineering”, Cambridge University Press.
4) R. L. Burden, J. D. Faires (2017) “Numerical Analysis 9th Edn”, Brooks/Cole.
Other References
Lecture notes
Courses
.
Help
.
About
Ninova is an ITU Office of Information Technologies Product. © 2024