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 Electrical and Electronics Engineering(Eng)
  • Course Structure Diagram with Credits
  • Linear Algebra
  • Description
  • Description
  • Learning Outcomes
  • Course's Contribution to Prog.
  • Learning Outcomes & Program Qualifications

Course Introduction Information

Code - Course Title MAT251 - Linear Algebra
Course Type Required Courses
Language of Instruction İngilizce
Laboratory + Practice 3+0
ECTS 4.5
Course Instructor(s) PROFESÖR DOKTOR BARIŞ ERBAŞ
Mode of Delivery Face to face learning only.
Prerequisites There is no prerequisite or co-requisite for this course.
Courses Recomended There is no recommended optional programme component for this course.
Required or Recommended Resources Kolman B., Hill D. R., Elementary Linear Algebra with Applications, 9th edition.
Recommended Reading List
Assessment methods and criteria 2 Midterms, Final exam.
Work Placement None.
Sustainability Development Goals

Content

Weeks Topics
Week - 1 Systems of linear equations:definition and examples.
Week - 2 Matrices, Operations on matrices, the inverse of a matrix.
Week - 3 Solutions of systems of linear equations, Gauss-Jordan elimination.
Week - 4 Determinants: definition and properties.
Week - 5 Cofactor expansion of determinant and applications.
Week - 6 Vectors in the plane and vectors in space.
Week - 7 Vector spaces and subspaces.
Week - 8 Subspaces, linear independence.
Week - 9 Basis and dimension.
Week - 10 The rank of a matrix.
Week - 11 Linear transformations.
Week - 12 Matrices of linear transformations.
Week - 13 Eigenvalues and eigenvectors.
Week - 14 Diagonalization.

Learning Activities and Teaching Methods

  • Teaching Methods
  • Lecture
  • Discussion
  • Question & Answer
  • Drill - Practise
  • Competences
  • Productive
  • Rational
  • Questoning
  • Creative
  • Use time effectively
  • Abstract analysis and synthesis
  • Problem solving
  • Information Management
  • To work autonomously

Assessment Methods

Assessment Method and Passing Requirements
Quamtity Percentage (%)
1.Midterm Exam 1 15
2.Midterm Exam 1 15
3.Midterm Exam 1 15
4.Midterm Exam 1 15
Final Exam 1 40
Toplam (%) 100
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