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Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS ELECTIVE

Offered By

Physics

Level of Course Unit

First Cycle Programmes (Bachelor's Degree)

Course Coordinator

ASSOCIATE PROFESSOR ÜMIT AKINCI

Offered to

Physics

Course Objective

The course will provide a introduction the concept of modelling in physics, and an overview of the basic principles of the simulation techniques as well as application of simulations in physics.

Learning Outcomes of the Course Unit

1   Being able to understand the basic principles of modelling and model construction. 2   Being able to construct models to physics problems 3   Being able to understand the basic principles of simulation 4   Being able to construct simulations for physical models 5   Being able to interpret the constructed models and results of the simulations

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description 1 Introduction and overview 2 Basic principles of modelling in physical systems 3 Mathematical modelling and solution methods of the models 4 Basic principles of simulation in physical systems 5 Performing simulations in computers 6 Example models and simulations: virus and cancer dynamics 7 Molecular dynamic simulations I: basic concepts and simulation structure 8 Applications of the molecular dynamics 9 Molecular dynamic simulations II: application to many particle classical systems 10 Molecular dynamic simulations III: collecting observables 11 Monte Carlo simulations I: basic concepts and simulation structure 12 Monte Carlo simulations II: application to stochastic systems 13 Monte Carlo simulations III: collecting observables 14 Presentations

Recomended or Required Reading

Jos Thijssen, computational physics Cambridge University Press Phillipp, O.J. Schere, Computational Physics: Simulation of Classical and Quantum Systems, Springer

Planned Learning Activities and Teaching Methods

Lectures, Question-Answer, Discussion, Tutorials

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA 1 MTE MIDTERM EXAM 2 ASG ASSIGNMENT 3 FIN FINAL EXAM 4 FCGR FINAL COURSE GRADE (RESIT) MTE * 0.25 + ASG * 0.25 + FIN * 0.50 5 RST RESIT 6 FCGR FINAL COURSE GRADE (RESIT) MTE * 0.25 + ASG * 0.25 + RST * 0.50

Further Notes About Assessment Methods

None

Assessment Criteria

The student s performance will be evaluated by addition of final exam grade to midterm exams grades and homeworks.

Language of Instruction

Turkish

Course Policies and Rules

Attending at least 70 percent of lectures is mandatory.

Contact Details for the Lecturer(s)

umit.akinci@deu.edu.tr

Office Hours

To be announced.

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours) Lectures 14 2 28 Tutorials 14 2 28 Preparations before/after weekly lectures 12 3 36 Preparation for midterm exam 1 15 15 Preparation for final exam 1 15 15 Preparing assignments 2 15 30 Midterm 1 2 2 Final 1 2 2 TOTAL WORKLOAD (hours) 156

Contribution of Learning Outcomes to Programme Outcomes

PO/LO PO.1 PO.2 PO.3 PO.4 PO.5 PO.6 PO.7 PO.8 PO.9 PO.10 PO.11 PO.12 PO.13 PO.14 LO.1 3 1 3 2 1 3 2 LO.2 3 2 2 1 4 3 4 LO.3 5 4 2 3 2 5 2 4 LO.4 3 1 4 3 2 3 5 LO.5 5 1 4 3 3 4