{"id":18354,"date":"2025-07-19T15:08:46","date_gmt":"2025-07-19T13:08:46","guid":{"rendered":"https:\/\/www2.mie.uth.gr\/?page_id=18354"},"modified":"2026-09-04T13:20:51","modified_gmt":"2026-09-04T10:20:51","slug":"%ce%b5%cf%800701-introduction-to-scientific-computing-elective","status":"publish","type":"page","link":"https:\/\/mie.uth.gr\/?page_id=18354&lang=en","title":{"rendered":"\u0395\u03a00701\u00a0Introduction to Scientific Computations (Optional Module)"},"content":{"rendered":"\t\t
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\u0395\u03a00701 INTRODUCTION TO SCIENTIFIC COMPUTATIONS (OPTIONAL MODULE)<\/h1>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t
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\u0395\u03a00701 INTRODUCTION TOSCIENTIFIC COMPUTATIONS (OPTIONAL MODULE)<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t
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Course Information<\/h3>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t
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Course Outline<\/a><\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

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\u03a0\u03bb\u03b7\u03c1\u03bf\u03c6\u03bf\u03c1\u03af\u03b5\u03c2 \u039c\u03b1\u03b8\u03ae\u03bc\u03b1\u03c4\u03bf\u03c2<\/h3>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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\u03a0\u03b5\u03c1\u03af\u03b3\u03c1\u03b1\u03bc\u03bc\u03b1 \u039c\u03b1\u03b8\u03ae\u03bc\u03b1\u03c4\u03bf\u03c2<\/a><\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

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Course Category<\/strong>
Course Type<\/strong>
Secretary Code<\/strong>
Semester<\/strong>
Duration<\/strong>
ECTS Units<\/strong>
Instructor<\/strong><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t

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Undergraduate
Optional Module
\u0395\u03a00701
6th (Spring)
5 hours\/week
6
Papadimitriou Costas<\/a><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

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Coure Category: <\/strong>Undergraduate
Course Type:\u00a0<\/strong>Optional Module
Secretary Code: <\/strong>\u0395\u03a00701
Semester: <\/strong>6th (Spring)
\u0394\u03b9\u03ac\u03c1\u03ba\u03b5\u03b9\u03b1:\u00a0<\/strong>5 hours\/week
ECTS Units:\u00a0<\/strong>6
\u0394\u03b9\u03b4\u03ac\u03c3\u03ba\u03c9\u03bd: Papadimitriou Costas<\/span><\/strong><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

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<\/i>Aim<\/span><\/div>

This course aims to introduce Scientific Computing through Matlab. Emphasis is placed on the capabilities offered by the Matlab environment for easily addressing problems of numerical methods, such as solving systems of equations, numerical interpolation, integration and differentiation, solving differential equations, etc.<\/p><\/div>\n\t\t\t\t\t<\/div>

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<\/i>Syllabus<\/span><\/div>

Unit 1: Introduction to MATLAB<\/strong><\/span>
1. Basic Concepts \u2013 Getting Help \u2013 Numeric and Logical Expressions
2. Vectors and Matrices \u2013 Random Numbers
3. Procedural Programming \u2013 Scripts \u2013 Input \u2013 Output \u2013 Selection \u2013 Looping
4. Basic Plotting Commands
5. User-Defined Functions
6. Handling Character Strings
7. Complex Data Structures \u2013 Structures \u2013 Cell Arrays \u2013 Tables
8. Files
9. Advanced Topics in User-Defined Functions
10. More Plotting Functions
11. Live Scripts \u2013 Symbolic Variables \u2013 Expressions \u2013 Functions
Unit 2: Solving Mathematical Problems in MATLAB \u2013 Applications<\/strong><\/span>
12. Set Functions \u2013 Polynomials
13. Calculus, Series \u2013 Limits \u2013 Differentiation \u2013 Integration (Symbolic and Numeric)
14. Solving Equations and Systems Symbolically and Numerically
15. Linear Algebra, Sparse Matrices, Solving Linear Systems
16. Ordinary Differential Equations and ODE Systems, Initial and Boundary Value Problems,
Partial Differential Equations
17. Interpolation \u2013 Extrapolation \u2013 Approximation (Fitting)
18. Optimization \u2013 Linear and Integer Programming
19. Digital Signal Processing
20. Statistical Functions \u2013 Probabilities
21. Data Compression \u2013 SVD<\/p><\/div>\n\t\t\t\t\t<\/div>

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<\/i>Literature<\/span><\/div>
\u00a0<\/div>
1. MATLAB, \u0395\u03b9\u03c3\u03b1\u03b3\u03c9\u03b3\u03ae \u03ba\u03b1\u03b9 \u0395\u03c6\u03b1\u03c1\u03bc\u03bf\u03b3\u03ad\u03c2 \u03b3\u03b9\u03b1 \u039c\u03b7\u03c7\u03b1\u03bd\u03b9\u03ba\u03bf\u03cd\u03c2, \u039a. \u03a0\u03b1\u03c0\u03b1\u03bf\u03b4\u03c5\u03c3\u03c3\u03b5\u03cd\u03c2, \u039a. \u039a\u03b1\u03bb\u03bf\u03b2\u03c1\u03ad\u03ba\u03c4\u03b7\u03c2, \u039d. \u039c\u03c5\u03bb\u03c9\u03bd\u03ac\u03c2, \u0398\u03b5\u03c3\u03c3\u03b1\u03bb\u03bf\u03bd\u03af\u03ba\u03b7, 2017.<\/div>
2. \u0395\u03b9\u03c3\u03b1\u03b3\u03c9\u03b3\u03ae \u03c3\u03c4\u03b1 \u03a3\u03ae\u03bc\u03b1\u03c4\u03b1 & \u03a3\u03c5\u03c3\u03c4\u03ae\u03bc\u03b1\u03c4\u03b1 \u03c3\u03c5\u03bd\u03b5\u03c7\u03bf\u03cd\u03c2 \u03c7\u03c1\u03cc\u03bd\u03bf\u03c5 \u03bc\u03b5 MATLAB, \u03a0\u03b1\u03c1\u03b1\u03c3\u03ba\u03b5\u03c5\u03ac\u03c2 M\u03b9\u03c7\u03ac\u03bb\u03b7\u03c2, \u0395\u03ba\u03b4. \u03a4\u03b6\u03b9\u03cc\u03bb\u03b1, 2015.<\/div>
3. \u0391\u03c1\u03b9\u03b8\u03bc\u03b7\u03c4\u03b9\u03ba\u03ad\u03c2 \u03bc\u03ad\u03b8\u03bf\u03b4\u03bf\u03b9 & \u03b5\u03c6\u03b1\u03c1\u03bc\u03bf\u03b3\u03ad\u03c2 \u03b3\u03b9\u03b1 \u03bc\u03b7\u03c7\u03b1\u03bd\u03b9\u03ba\u03bf\u03cd\u03c2 \u03bc\u03b5 \u03c0\u03b1\u03c1\u03b1\u03b4\u03b5\u03af\u03b3\u03bc\u03b1\u03c4\u03b1 \u03c3\u03c4\u03bf MATLAB, \u0399. \u03a3\u03b1\u03c1\u03c1\u03ae\u03c2, \u0398. \u039a\u03b1\u03c1\u03b1\u03ba\u03b1\u03c3\u03af\u03b4\u03b7\u03c2, \u0395\u03ba\u03b4. \u03a4\u03b6\u03b9\u03cc\u03bb\u03b1, 2017.<\/div>
4. MATLAB \u03b3\u03b9\u03b1 \u0395\u03c0\u03b9\u03c3\u03c4\u03ae\u03bc\u03bf\u03bd\u03b5\u03c2 \u03ba\u03b1\u03b9 \u039c\u03b7\u03c7\u03b1\u03bd\u03b9\u03ba\u03bf\u03cd\u03c2, E. \u03a7\u03b1\u03c4\u03b6\u03af\u03ba\u03bf\u03c2, \u0395\u03ba\u03b4. \u03a4\u03b6\u03b9\u03cc\u03bb\u03b1, 2016.<\/div>
5. What every Engineer should know about MATLAB and Simulink, Adrian B. Biran, CRC Press Taylor & Francis Group LLC, 2010.<\/div>
6. MATLAB Programming for Engineers, S. J. Chapman, Thomson, 2004.<\/div>
7. Numerical Computing with MATLAB, C. B. Moler, Siam, 2004.<\/div>
8. A MATLAB Companion for Multivariable Calculus, J. Cooper, Academic Press, 2001.<\/div>
9. MATLAB Guide, D. J. Higham and N. J. Higham, Siam, 2005.<\/div>
10. The MathWorks,\u00a0http:\/\/www.mathworks.com<\/a>\u00a0<\/div><\/div>\n\t\t\t\t\t<\/div>
\n\t\t\t\t\t
<\/i>Teaching Language<\/span><\/div>

Greek<\/p><\/div>\n\t\t\t\t\t<\/div>

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<\/i>Teaching Method<\/span><\/div>

Lectures, Practical Exercises<\/p><\/div>\n\t\t\t\t\t<\/div>

\n\t\t\t\t\t
<\/i>Student Performance Evaluation<\/span><\/div>
Homework<\/strong><\/td>30%<\/td><\/tr>
Midterm<\/strong><\/td>30%<\/td><\/tr>
Final Exam<\/strong><\/td>40%<\/td><\/tr>
\u00a0<\/td>\u00a0<\/td><\/tr><\/tbody><\/table><\/div>\n\t\t\t\t\t<\/div>
\n\t\t\t\t\t
<\/i>Workload (in hours)<\/span><\/div>
Activity<\/strong><\/td>Semester Workload<\/strong><\/td><\/tr>
Lectures<\/td>70<\/td><\/tr>
Self-evaluating exercises<\/td>40<\/td><\/tr>
Autonomous work<\/td>40<\/td><\/tr>
Course Total<\/strong><\/td>150<\/strong><\/td><\/tr><\/tbody><\/table><\/div>\n\t\t\t\t\t<\/div><\/div>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"

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