COMPUTATIONAL METHODS IN MATERIAL SCIENSE II

Course Information
TitleΥΠΟΛΟΓΙΣΤΙΚΕΣ ΜΕΘΟΔΟΙ ΣΤΗ ΦΥΣΙΚΗ ΥΛΙΚΩΝ ΙΙ / COMPUTATIONAL METHODS IN MATERIAL SCIENSE II
CodeΦΥΕ201
FacultySciences
SchoolPhysics
Cycle / Level2nd / Postgraduate
Teaching PeriodSpring
CoordinatorIosif Kioseoglou
CommonNo
StatusActive
Course ID600016873

Programme of Study: Physics and Technology of Materials

Registered students: 13
OrientationAttendance TypeSemesterYearECTS
KORMOSElective Courses213

Class Information
Academic Year2021 – 2022
Class PeriodSpring
Faculty Instructors
Weekly Hours2
Class ID
600199713
Course Type 2011-2015
Knowledge Deepening / Consolidation
Mode of Delivery
  • Face to face
  • Distance learning
Digital Course Content
Erasmus
The course is also offered to exchange programme students.
Language of Instruction
  • Greek (Instruction, Examination)
  • English (Instruction, Examination)
Prerequisites
Required Courses
  • ΦΥΥ105 COMPUTATIONAL METHODS IN MATERIAL SCIENSE I
Learning Outcomes
Upon completion of the course students will be able to write MATLAB code to solve and analyze materials physics problems by the use of computational methods.
Course Content (Syllabus)
The course offers an introduction and thorough deepening in programming techniques as a tool for solving problems in Physics of Materials. MATLAB is an advance programming platform and will be used as a planning tool. MATLAB enables the user to write code similar to the high level programming languages, combined with a complete library of functions and applications on computational physics. Consequently, the students will be trained in programming as a tool for production of scientific applications, using simultaneously the most sophisticated auxiliary functions available in MATLAB. Simulation methods in Materials Physics. Monte-Carlo methods and molecular dynamics. Random numbers, random walk, properties in 1D, 2D and 3D. Τrapping events. Distribution functions. Crystal structures with impurities, high-order phase transitions, critical phenomena, critical exponents. Networks. Correlation functions. Multiple atomistic systems by the use of Molecular Dynamics, Lennard-Jones potential and the Verlet algorithm.
Educational Material Types
  • Notes
  • Slide presentations
  • Codes
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
  • Use of ICT in Student Assessment
Course Organization
ActivitiesWorkloadECTSIndividualTeamworkErasmus
Laboratory Work602
Written assigments301
Total903
Last Update
05-05-2021