Title  ΥΠΟΛΟΓΙΣΤΙΚΗ ΦΥΣΙΚΗ ΚΑΙ ΕΦΑΡΜΟΓΕΣ / Computational Physics and Applications 
Code  ΗΥΕ401 
Faculty  Sciences 
School  Physics 
Cycle / Level  1st / Undergraduate 
Teaching Period  Winter 
Coordinator  Dimitrios Melas 
Common  No 
Status  Active 
Course ID  40003024 
Programme of Study: UPS of School of Physics (2012today)
Registered students: 169
Orientation  Attendance Type  Semester  Year  ECTS 

Core  Basic Election  7  4  5 
Academic Year  2019 – 2020 
Class Period  Winter 
Faculty Instructors 

Weekly Hours  3 
Class ID  600150559

Course Type 20162020
 Background
 Scientific Area
Course Type 20112015
Specific Foundation / Core
Mode of Delivery
 Face to face
Digital Course Content
 eStudy Guide https://qa.auth.gr/en/class/1/600150559
Erasmus
The course is also offered to exchange programme students.
Language of Instruction
 Greek (Instruction, Examination)
 English (Examination)
Learning Outcomes
After successfully completing the course students are able to develop MATLAB codes in order to solve physical problems
General Competences
 Apply knowledge in practice
 Work autonomously
 Advance free, creative and causative thinking
Course Content (Syllabus)
This course will analyze a wide range of computational problems of Physics. We will study algorithms to problems of physics, which will range from Classical Mechanics, Electrostatic and Environmental Physics to Statistical Physics and Quantum Physics. Prior experience in MATLAB and programming languages, such as C or C ++ deemed useful, although a brief overview of basic programming instructions will be provided at the beginning of the course. Course exercises will be in MATLAB.
Introduction to Computational Physics. The advent of modern computers. Introduction to programming and techniques for visualizing data.
Environmental impact from the production and use of energy. Renewable energy sources and technologies. Computational Applications of Renewable Energy.
Calculation of the wind potential of a region. Analysis of Wind Resource using the Weibull distribution. Analysis of wind energy potential using the Weibull distribution. Calculation of wind potential using numerical models.
Calculation of solar energy in an area. Models for calculating the solar radiation. Solar radiation databases.
Random systems and stochastic processes: random walks and diffusion, formation of aggregates, the Monte Carlo method. The Metropolis algorithm.
Quantum systems: the time dependent and independent equation of Schrödinger.
Computational methods on equation of motion. Principles and use on the method of Molecular Dynamics. Effect of physical properties of the materials (e.g. temperature, pressure) in atomistic calculations. Effect of stress, and deformation.
Interatomic potentials. Interatomic potentials in connection with the various types of atomic bonds. Interatomic potentials for metals. Potentials for semiconductor compounds. Interatomic potentials for molecules. Interatomic potentials for ionic crystals.
ab initio calculations. Hartree Fock (HF), Linear Augmented Plane Wave (LAPW), Density Functional Theory (DFT), Linear combination of atomic orbitals (LCAO), Tight Binding (TB).
Educational Material Types
 Slide presentations
 Book
Use of Information and Communication Technologies
Use of ICT
 Use of ICT in Course Teaching
Course Organization
Activities  Workload  ECTS  Individual  Teamwork  Erasmus 

Lectures  72  2.4  
Exams  3  0.1  
Other / Others  75  2.5  
Total  150  5 
Student Assessment
Student Assessment methods
 Written Exam with Short Answer Questions (Formative, Summative)
 Written Exam with Extended Answer Questions (Formative, Summative)
 Written Assignment (Formative, Summative)
Bibliography
Course Bibliography (Eudoxus)
• ΥΠΟΛΟΓΙΣΤΙΚΗ ΦΥΣΙΚΗ Computational Physics (pages 499, in greek, Athens, 1995) συγ. Αντώνιος Ν. Ανδριώτης (http://esperia.iesl.forth.gr/~andriot/published_books.html)
Last Update
12122019