Eskisehir Technical University Info Package Eskisehir Technical University Info Package
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About the Program Educational Objectives Key Learning Outcomes Course Structure Diagram with Credits Field Qualifications Matrix of Course& Program Qualifications Matrix of Program Outcomes&Field Qualifications
  • Faculty of Science
  • Department of Physics
  • Course Structure Diagram with Credits
  • Computer Programming for Physicists II
  • Description
  • Description
  • Learning Outcomes
  • Course's Contribution to Prog.
  • Learning Outcomes & Program Qualifications

Course Introduction Information

Code - Course Title FİZ356 - Computer Programming for Physicists II
Course Type Required Courses
Language of Instruction Türkçe
Laboratory + Practice 1+1
ECTS 2.0
Course Instructor(s) PROFESÖR SÜLEYMAN DEMİR
Mode of Delivery Face-to-face
Prerequisites There is no prerequisite or co-requisite for this course.
Courses Recomended None
Recommended Reading List https://docs.python.org/3/tutorial/index.htmlhttps://www.scipy.org/docs.html
Assessment methods and criteria 1 Midterm, Homework, 1 Final Exam
Work Placement None
Sustainability Development Goals

Content

Weeks Topics
Week - 1 Python Shell, Numbers, Variables, Comparisons, Strings, Lists, Tuples, Loops, Control Flow
Week - 2 File Input/Output, Functions
Week - 3 Plotting graphs
Week - 4 Errors/Exceptions, Dictionaries and Sets, Operating System Services
Week - 5 Modules and Packages, Introduction to Object-Oriented Programming
Week - 6 IPython, Jupyter Notebook and Spyder Platforms
Week - 7 Midterm
Week - 8 NumPy Module: Basic Array Methods, Reading and Writing an Array to a File
Week - 9 NumPy Module: Statistical Methods, Polynomials, Linear Algebra
Week - 10 NumPy Module: Random Sampling, Discrete Fourier Transform
Week - 11 Matplotlib: Plotting graphs, charts, contour plots, heatmaps, 3D plots
Week - 12 SciPy: Physical Constants, Special Functions, Integration, ODE, Interpolation, Optimization, Data-Fitting, Root-Finding
Week - 13 Data Analysis with Pandas module
Week - 14 Floating-Point Arithmetic, Stability and Conditioning, Programming Techniques and Software Development

Learning Activities and Teaching Methods

  • Teaching Methods
  • Lecture
  • Question & Answer
  • Team/Group Work
  • Demonstration
  • Drill - Practise
  • Problem Solving
  • Proje Design/Management
  • Competences
  • Productive
  • Rational
  • Creative
  • Abstract analysis and synthesis
  • Problem solving
  • Information Management
  • Organization and planning
  • Elementary computing skills
  • To work in interdisciplinary projects
  • Project Design and Management

Assessment Methods

Assessment Method and Passing Requirements
Quamtity Percentage (%)
2.Midterm Exam 1 40
Homework 1 20
Final Exam 1 40
Toplam (%) 100
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