# Numerical Methods for Engineers Title Αριθμητικές Μέθοδοι για Μηχανικούς / Numerical Methods for Engineers Code HY4 Faculty Engineering School Chemical Engineering Cycle / Level 1st / Undergraduate Teaching Period Spring Common No Status Active Course ID 20000684

### Programme of Study: PPS Tmīmatos CΗīmikṓn Mīchanikṓn (2019-sīmera)

Registered students: 0
OrientationAttendance TypeSemesterYearECTS
KORMOSCompulsory Course425

 Academic Year 2017 – 2018 Class Period Spring Faculty Instructors Christos Chatzidoukas 39hrs Eustathios Kikkinides 26hrs Evmorfili Sidiropoulou 26hrs Instructors from Other Categories Weekly Hours 4 Class ID 600102476

### Class Schedule

 Building Επέκταση Πολυτεχνείου (Χημικοί Μηχ) Floor Ισόγειο Hall ΑΙΘΟΥΣΑ Α' Υπολογιστικό (551) Calendar Δευτέρα 09:00 έως 17:00 Building Πολυτεχνείο (πτέρυγα Β) Floor Όροφος 2 Hall ΑΙΘΟΥΣΑ 3 (43) Calendar Πέμπτη 13:00 έως 15:00
Type of the Course
• Background
• General Knowledge
• Skills Development
Course Category
General Foundation
Mode of Delivery
• Face to face
Digital Course Content
Language of Instruction
• Greek (Instruction, Examination)
Prerequisites
General Prerequisites
Learning Outcomes
1. Learning of simple numerical methods for the solution of algebraic and ordirary differential equations. 2. Getting familiar with MATLAB environment 3. Application of numerical methods in MATLAB for the solution of common Chem.Eng. problems.
General Competences
• Apply knowledge in practice
• Retrieve, analyse and synthesise data and information, with the use of necessary technologies
• Work autonomously
Course Content (Syllabus)
Introduction. Need for numerical analysis in chemical engineering. Numerical solution of SYSTEMS OF LINEAR ALGEBRAIC EQUATIONS. Gauss Elimination – Pivoting – LU Decomposition. Iterative Methods. NON LINEAR ALGEBRAIC EQUATIONS. Picard and Newton methods for a single equation. Newton-Raphson method – solution os systems on non linear algebraic equations. ORDINARY DIFFERENTIAL EQUATIONS – INITIAL VALUE PROBLEMS. Explicit and implicit Euler methods. Euler Predictor-Corrector. 4th order Runge-Kutta. Systems of ODE-IVP. Numerical Stability. Stiffness, step size control, errors. ORDINARY DIFFERENTIAL EQUATIONS – BOUNDARY VALUE PROBLEMS. Finite Differences for the solution of a single equation. Systems of equations. COMPUTER LAB: Introduc¬tion to MATLAB. Plotting. M-files. Application of Gauss Elimination for the solution of systems of linear algebraic equations. Computational cost. Ill Conditioning. Jacobi and Gauss-Seidel methods. Convergence. Picard and Newton-Raphson method – solution of a unique NL algebraic equation. Solution of systems on NL algebraic equations. Application of Euler and Runge-Kutta Method methods for the solution of an ODE-IVP equation. Effect of step size. Solution of systems of ODE-IVP. Stability. Stiffness.
Keywords
linear systems, non-linear systems, ODE-IVP, ODE-BVP, numerical error, matrix condition, iterative method, stiffness, finite differences
Educational Material Types
• Slide presentations
• Book
Use of Information and Communication Technologies
Use of ICT
• Use of ICT in Course Teaching
• Use of ICT in Laboratory Teaching
• Use of ICT in Communication with Students
Course Organization
Lectures451.5
Laboratory Work301
Interactive Teaching in Information Center451.5
Exams301
Total1505
Student Assessment
Description
30% homework 20% intermediate test (optional) 50% final test
Student Assessment methods
• Written Assignment (Formative, Summative)
• Written Exam with Problem Solving (Formative, Summative)
• Labortatory Assignment (Formative, Summative)
Bibliography
Course Bibliography (Eudoxus)
Αριθμητικές μέθοδοι για προβλήματα μηχανικής, Πρ. ΝΤΑΟΥΤΙΔΗΣ, Σπ. ΜΑΣΤΡΟΓΕΩΡΓΟΠΟΥΛΟΣ, Ευμ. ΣΙΔΗΡΟΠΟΥΛΟΥ, εκδ.ΑΝΙΚΟΥΛΑ 2010 Αριθμητικές υπολογιστικές μέθοδοι στην επιστήμη και τη μηχανική,C.POZRIKIDIS, εκδ. ΤΖΙΟΛΑ 2006
Last Update
25-05-2018