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 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.
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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