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 Engineering
  • Dept.of Materials Science and Engineering (English
  • Course Structure Diagram with Credits
  • Linear Algebra and Numerical Methods
  • Description
  • Description
  • Learning Outcomes
  • Course's Contribution to Prog.
  • Learning Outcomes & Program Qualifications

Course Introduction Information

Code - Course Title EMAT223 - Linear Algebra and Numerical Methods
Course Type Required Courses
Language of Instruction İngilizce
Laboratory + Practice 2+2
ECTS 4.5
Course Instructor(s) ARAŞTIRMA GÖREVLİSİ DOKTOR GÖKÇE ÇAKMAK
Mode of Delivery Face to face
Prerequisites There is no prerequisite or co-requisite for this course.
Courses Recomended
Recommended Reading List
Assessment methods and criteria 2 midterm, 1 final
Work Placement
Sustainability Development Goals

Content

Weeks Topics
Week - 1 Matrices and Linear Equation Systems: Matrix concept, Matrix operations
Week - 2 Solutions with the help of linear equation systems and matrices
Week - 3 Determinant: Determinant concept and its properties
Week - 4 Inverse of a matrix
Week - 5 Applications of determinants
Week - 6 Vector Spaces: Vectors in the plane and in space, subspaces
Week - 7 Linear independence and base
Week - 8 Linear transformations and their matrices
Week - 9 Solutions of Nonlinear Equations: Bisection method
Week - 10 Newton Raphson method
Week - 11 Curve Fitting: Least Squares and Interpolation Methods
Week - 12 Numerical Derivative
Week - 13 Numerical Integral: Trapezoid and Simpson's rules
Week - 14 Numerical Solutions of Ordinary Differential Equations: Runge-Kutta, Euler and Taylor expansion methods

Learning Activities and Teaching Methods

  • Teaching Methods
  • Lecture
  • Discussion
  • Question & Answer
  • Problem Solving
  • Brain Storming
  • Competences
  • Rational
  • Questoning
  • Information Management
  • To work autonomously
  • Elementary computing skills

Assessment Methods

Assessment Method and Passing Requirements
Quamtity Percentage (%)
1.Midterm Exam 1 30
2.Midterm Exam 1 30
Final Exam 1 40
Toplam (%) 100
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