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Course catalogue

Numerical Analysis
Course Code 321-99000
Semester 8
ECTS 5.00
Hours (Theory) 3
Hours (Lab)
Instructor
Course Content

Errors, Computer Arithmetic, Error method and algorithm, Linear Systems, Method of Gauss, Gauss-Jordan, factorization LU, Method Choleski, Iterative method of Jacobi, Gauss, Gauss-seidel, SOR, Nonlinear equations and systems, partition method, fixed point, Newton-Raphson, secant, Interpolation and Approximation of Lagrange, Newton, Hermite, functions, spline, Numerical Differentiation and Integration type Lagrange, Taylor, Richardson, rule rectangle, trapezoid, Simpson, type Newton-Cotes, Numerical solution of ordinary differential equations, partial differential equations.

Learning Outcomes

The purpose of this course is to provide a complete knowledge of numerical methods for solving problems that appear in Science and Technology.

More precisely the aim of this course is the comprehension of the basic numerical methods for approximating solutions of various mathematical problems using a computer.

Emphasis is also given on the theoretical/mathematical background of these methods for their full comprehension.

After the successful completion of this course, the student should be able to:

  • understand the floating point arithmetic and floating point numbers.
  • understand, calculate and estimate the error that occurs from approximate solutions of problems.
  • approximate solutions of systems of linear and non-linear equations, using basic arithmetic methods. 
  • approximate solutions of non-linear equations, using basic arithmetic methods.
  • describe the behavior of functions in one variable using suitable interpolation polynomials. 
  • approximate the derivative and the integral functions in one variable, using arithmetic differentiation and integration methods.
  • apply basic arithmetic methods for solving simple differential equations.

 

Prerequisites

Not required.

Teaching and Learning Methods

Homeworks, final written exam.

Activity Semester workload
Lectures 39 hours
Personal study 83 hours
Final exams 3 hours
Course total 125 hours (5 ECTS)
   
   

 

Assessment Methods / Grading

The course evaluation derives from:

  • 3 compulsory exercises during the semester: counting 30% in the final grade.
  • final exam: counting 70% in the final grade.

Final Grade = (0.3*M.V. Exercises) + (0.7*Final Exam)

One must have: Final Grade >= 5

Teaching Language

Greek (English for Erasmus students)

Contact
  • President: Skoutas Dimitrios
  • Secretariat Head: Karagianni Kalliopi
  • Undergraduate Secretariat: ICS Eng. Department
  • Postgraduate Secretariat: ICS Eng. Department
  • Email: dicsd [at] aegean [dot] gr
  • Phone: 2273082000
  • Address: Κτήριο Λυμπέρη, Παλαμά 2 & Γοργύρας, Τ.Κ. 83200
  • Website: www.icsd.aegean.gr
  • Office Hours: Δευτέρα - Παρασκευή: 8:00 - 16:00
Στατιστικά Σπουδών
Μέσος Όρος Βαθμού Πτυχίου

7.76

Μέσος χρόνος Απόκτησης Πτυχίου

6.5 έτη

Μαθήματα με εργαστήριο

46

Κύκλοι Σπουδών

6

Μαθήματα Υποχρεωτικά

36

Μαθήματα Κύκλου

8

Σύνολο μαθημάτων για πτυχίο

55

Διπλωματική Εργασία

Υποχρεωτική