COURSE INTRODUCTION AND APPLICATION INFORMATION

Course Name
Numerical Methods for Physics
Code
Semester
Theory
(hour/week)
Application/Lab
(hour/week)
Local Credits
ECTS
PHYS 301
Fall
2
2
3
5
Prerequisites
None
Course Language
English
Course Type
Required
Course Level
First Cycle
Mode of Delivery face to face
Teaching Methods and Techniques of the Course Discussion
Problem Solving
Lecture / Presentation
Course Coordinator -
Course Lecturer(s)
Assistant(s)
Course Objectives The aim of this course is to discuss various different numerical methods frequently used in physics by treating sample numerical physics problems.
Learning Outcomes The students who succeeded in this course;
  • formulate physics problems as computational problems.
  • compare different algorithms that are used to numerically solve ordinary differential equations.
  • utilize basic data analysis methods.
  • solve partial differential equations using numerical approaches.
  • apply numerical techniques to stochastic problems.
Course Description In this course, certain physics problems will be formulated as numerical problems adequate for a computer, and answers will be provided considering the most appropriate methods available.

 



Course Category

 Core Courses
X
Major Area Courses
Supportive Courses
Media and Managment Skills Courses
Transferable Skill Courses

 

WEEKLY SUBJECTS AND RELATED PREPARATION STUDIES

Week Subjects Required Materials
1 Programming. Alex Gezerlis, Numerical Methods in Physics with Python, (Cambridge, 2020). Chapter 1
2 Numerical errors. Alex Gezerlis, Numerical Methods in Physics with Python, (Cambridge, 2020). Chapter 2
3 Differentials Alex Gezerlis, Numerical Methods in Physics with Python, (Cambridge, 2020). Chapter 3
4 Finite Difference Alex Gezerlis, Numerical Methods in Physics with Python, (Cambridge, 2020). Chapter 3
5 Matrices, eigenvalue problems Alex Gezerlis, Numerical Methods in Physics with Python, (Cambridge, 2020). Chapter 4
6 Linear equation systems Alex Gezerlis, Numerical Methods in Physics with Python, (Cambridge, 2020). Chapter 4
7 Midterm exam 1
8 Root finding Alex Gezerlis, Numerical Methods in Physics with Python, (Cambridge, 2020). Chapter 5
9 Approximations Alex Gezerlis, Numerical Methods in Physics with Python, (Cambridge, 2020). Chapter 6
10 İntegrals 1 Alex Gezerlis, Numerical Methods in Physics with Python, (Cambridge, 2020). Chapter 7
11 İntegrals 2 Alex Gezerlis, Numerical Methods in Physics with Python, (Cambridge, 2020). Chapter 7
12 Ordinary Differential Equations (ODE) Alex Gezerlis, Numerical Methods in Physics with Python, (Cambridge, 2020). Chapter 8
13 Partial Differential Equations (PDE) Alex Gezerlis, Numerical Methods in Physics with Python, (Cambridge, 2020). Chapter 8
14 Stochastic methods Alejandro L. Garcia, Numerical Methods for Physics, 2nd edn. (Pearson, 1999). Chapter 11. ISBN: 9780139067440
15 Semester review
16 Final Exam
Course Notes/Textbooks

Alex Gezerlis, Numerical Methods in Physics with Python, (Cambridge, 2020). ISBN 978-1-108-73893-4
Suggested Readings/Materials

Alejandro L. Garcia, Numerical Methods for Physics, 2nd edn. (Pearson, 1999). ISBN: 9780139067440

 

EVALUATION SYSTEM

Semester Activities Number Weigthing
Participation
1
10
Laboratory / Application
Field Work
Quizzes / Studio Critiques
Portfolio
Homework / Assignments
1
30
Presentation / Jury
Project
Seminar / Workshop
Oral Exam
Midterm
1
20
Final Exam
1
40
Total

Weighting of Semester Activities on the Final Grade
3
60
Weighting of End-of-Semester Activities on the Final Grade
1
40
Total

ECTS / WORKLOAD TABLE

Semester Activities Number Duration (Hours) Workload
Course Hours
(Including exam week: 16 x total hours)
16
2
32
Laboratory / Application Hours
(Including exam week: 16 x total hours)
16
2
Study Hours Out of Class
12
3
36
Field Work
Quizzes / Studio Critiques
Portfolio
Homework / Assignments
5
4
Presentation / Jury
Project
Seminar / Workshop
Oral Exam
Midterms
1
10
Final Exams
1
20
    Total
150

 

COURSE LEARNING OUTCOMES AND PROGRAM QUALIFICATIONS RELATIONSHIP

#
 Program Competencies/Outcomes
* Contribution Level
1
2
3
4
5
1

To be able master and use fundamental phenomenological and applied physical laws and applications,

 X
2

To be able to identify the problems, analyze them and produce solutions based on scientific method,
3

To be able to collect necessary knowledge, able to model and self-improve in almost any area where physics is applicable and able to criticize and reestablish his/her developed models and solutions,
4

To be able to communicate his/her theoretical and technical knowledge both in detail to the experts and in a simple and understandable manner to the non-experts comfortably,
5

To be familiar with software used in area of physics extensively and able to actively use at least one of the advanced level programs in European Computer Usage License,

 X
6

To be able to develop and apply projects in accordance with sensitivities of society and behave according to societies, scientific and ethical values in every stage of the project that he/she is part in,

 X
7

To be able to evaluate every all stages effectively bestowed with universal knowledge and consciousness and has the necessary consciousness in the subject of quality governance,
8

To be able to master abstract ideas, to be able to connect with concreate events and carry out solutions, devising experiments and collecting data, to be able to analyze and comment the results,
9

To be able to refresh his/her gained knowledge and capabilities lifelong, have the consciousness to learn in his/her whole life,
10

To be able to conduct a study both solo and in a group, to be effective actively in every all stages of independent study, join in decision making stage, able to plan and conduct using time effectively.
11

To be able to collect data in the areas of Physics and communicate with colleagues in a foreign language ("European Language Portfolio Global Scale", Level B1).
12

To be able to speak a second foreign at a medium level of fluency efficiently
13

To be able to relate the knowledge accumulated throughout the human history to their field of expertise.

*1 Lowest, 2 Low, 3 Average, 4 High, 5 Highest