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Course Information
Course Unit Title : Computational Physics Computer
Course Unit Code : 01FZK6132
Type of Course Unit : Optional
Level of Course Unit : Second Cycle
Year of Study : 1
Semester : 1.Semester
Number of ECTS Credits Allocated : 6,00
Name of Lecturer(s) : ---
Course Assistants :
Learning Outcomes of The Course Unit : Numerical techniques of Differential equations
Applications of numerical techniques to the physical problems.
Conversion of a physical problem to a programming language with numerical techniques.
Comparision of analytical and numerical solutions.
Mode of Delivery : Face-To-Face
Prerequisities and Co-requisities Courses : Unavailable
Recommended Optional Programme Components : Unavailable
Course Contents : Application of computational techniques to problems in physics. Numerical solution of differential equations. Computation and display of particle trajectories in arbitrary potentials. Introduction to non-linear dynamics. Random numbers and Monte-Carlo methods. Numerical implementation of selected methods in mathematical physics.
Languages of Instruction : Turkish-English
Course Goals : Understanding of numerical techniques of Differential equations
Applications of numerical techniques to the physical problems.
Conversion of a physical problem to a programming language with numerical techniques.
Comparision of analytical and numerical solutions.
Course Aims : Students will be introduced to basic scientific programming techniques and problem-solving strategies using examples and case studies drawn from the material presented in Topics in Math. Phys. and/or ODEs.
WorkPlacement   Not Available
Recommended or Required Reading
Textbook : Course Website.
Additional Resources : ?Numerical Recipes in C?, W. Press, S. Teukolsky, W. Vetterling, and B. Flannery (1992, Cambridge University Press).
Material Sharing
Documents :
Assignments :
Exams :
Additional Material :
Planned Learning Activities and Teaching Methods
Lectures, Practical Courses, Presentation, Seminar, Project, Laboratory Applications (if necessary)
ECTS / Table Of Workload (Number of ECTS credits allocated)
Student workload surveys utilized to determine ECTS credits.
Activity :
Number Duration Total  
Course Duration (Excluding Exam Week) :
14 3 42  
Time Of Studying Out Of Class :
14 3 42  
Homeworks :
4 10 40  
Presentation :
0 0 0  
Project :
0 0 0  
Lab Study :
0 0 0  
Field Study :
0 0 0  
Visas :
1 20 20  
Finals :
1 25 25  
Workload Hour (30) :
30  
Total Work Charge / Hour :
169  
Course's ECTS Credit :
6      
Assessment Methods and Criteria
Studies During Halfterm :
Number Co-Effient
Visa :
1 20
Quiz :
0 0
Homework :
1 80
Attendance :
0 0
Application :
0 0
Lab :
0 0
Project :
0 0
Workshop :
0 0
Seminary :
0 0
Field study :
0 0
   
TOTAL :
100
The ratio of the term to success :
50
The ratio of final to success :
50
TOTAL :
100
Weekly Detailed Course Content
Week Topics  
1 Application of computational techniques to problems in physics.
  Study Materials: Course Notes:
Chap. 1
2 Application of computational techniques to problems in physics.
  Study Materials: Course Notes:
Chap. 1
3 Numerical solution of differential equations.
  Study Materials: Course Notes:
Chap. 1
4 Numerical solution of differential equations.
  Study Materials: Course Notes:
Chap. 2
5 Numerical solution of differential equations.
  Study Materials: Course Notes:
Chap. 2
6 Computation and display of particle trajectories in arbitrary potentials.
  Study Materials: Course Notes:
Chap. 3
7 Computation and display of particle trajectories in arbitrary potentials.
  Study Materials: Course Notes:
Chap. 3
8 Introduction to non-linear dynamics.
  Study Materials: Course Notes:
Chap. 4
9 Random numbers and Monte-Carlo methods.
  Study Materials: Course Notes:
Chap. 5
10 Random numbers and Monte-Carlo methods.
  Study Materials: Course Notes:
Chap. 5
11 Random numbers and Monte-Carlo methods.
  Study Materials: Course Notes:
Chap. 5
12 Numerical implementation of selected methods in mathematical physics.
  Study Materials: Course Notes:
Chap. 6
13 Numerical implementation of selected methods in mathematical physics.
  Study Materials: Course Notes:
Chap. 6
14 Numerical implementation of selected methods in mathematical physics.
  Study Materials: Course Notes:
Chap. 6