Introduction to Numerical Analysis (MAY341): Διαφορά μεταξύ των αναθεωρήσεων
Γραμμή 57: | Γραμμή 57: | ||
! Learning outcomes | ! Learning outcomes | ||
| | | | ||
Upon successful completion of this course, students will be able to: | |||
# recognise key numerical methods from a variety of maths problems and apply them for the solution of actual problems. | |||
# apply a variety of theoretical techniques for deriving and analyzing the error of numerical approximations. | |||
# analyse and evaluate the accuracy of common numerical methods. | |||
# evaluate the performance of numerical methods in terms of accuracy, efficacy, and applicability. | |||
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! General Competences | ! General Competences | ||
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* Search for, analysis and synthesis of data and information, with the use of the necessary technology | * Search for, analysis and synthesis of data and information, with the use of the necessary technology. | ||
* Adapting to new situations | * Adapting to new situations. | ||
* | * Working independently. | ||
* Production of free, creative and inductive thinking | * Production of free, creative, and inductive thinking. | ||
* Promotion of analytical and synthetic thinking. | |||
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Αναθεώρηση της 00:16, 29 Σεπτεμβρίου 2022
Undergraduate Courses Outlines - Department of Mathematics
General
School |
School of Science |
---|---|
Academic Unit |
Department of Mathematics |
Level of Studies |
Undergraduate |
Course Code |
ΜΑY341 |
Semester | 3 |
Course Title |
Introduction to Numerical Analysis |
Independent Teaching Activities |
Lectures (Weekly Teaching Hours: 4, Credits: 7.5) |
Course Type |
General Background |
Prerequisite Courses | - |
Language of Instruction and Examinations |
Greek |
Is the Course Offered to Erasmus Students |
Yes (in English) |
Course Website (URL) | See eCourse, the Learning Management System maintained by the University of Ioannina. |
Learning Outcomes
Learning outcomes |
Upon successful completion of this course, students will be able to:
|
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General Competences |
|
Syllabus
Error Analysis. Numerical Solution of Nonlinear Equations: Iterative Methods, Newton’s Method, Secant Method. Numerical Solution of Linear Systems: Direct Methods (Gauss Elimination, LU factorization), Iterative Methods (Jacobi, Gauss-Seidel). Polynomial Interpolation: Lagrange method, Method of divided differences of Newton. Numerical Integration: Simple and Generated Rules of Numerical Integration, Trapezoidal Rule, Simpson’s Rule, Error analysis of Numerical Integration.
Teaching and Learning Methods - Evaluation
Delivery |
In the class | ||||||||||
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Use of Information and Communications Technology | - | ||||||||||
Teaching Methods |
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Student Performance Evaluation |
Written examination. |
Attached Bibliography
See the official Eudoxus site or the local repository of Eudoxus lists per academic year, which is maintained by the Department of Mathematics. Books and other resources, not provided by Eudoxus:
- “An Introduction to Numerical Analysis”, E. Süli, and D. Mayers, Cambridge University Press, Cambridge, 2003.