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 Mathematics
  • Course Structure Diagram with Credits
  • Linear Algebra II
  • Description
  • Description
  • Learning Outcomes
  • Course's Contribution to Prog.
  • Learning Outcomes & Program Qualifications

Course Introduction Information

Code - Course Title MAT204 - Linear Algebra II
Course Type Required Courses
Language of Instruction Türkçe
Laboratory + Practice 4+0
ECTS 5.0
Course Instructor(s) DOÇENT FİGEN TAKIL MUTLU
Mode of Delivery The mode of delivery of this course is Face to face
Prerequisites There is no prerequisite or co-requisite for this course.
Courses Recomended Calculus 1,2, Abstract Mathematics 1,2, Analytic Geometry 1,2
Recommended Reading List LARRY SMITH,LİNEAR ALGEBRA BERNARD KOLMAN, DAVID R HILL, Elementary Linear Algebra
Assessment methods and criteria Written exam
Work Placement N/A
Sustainability Development Goals

Content

Weeks Topics
Week - 1 Linear Equation Systems
Week - 2 Solutions of systems of linear equations
Week - 3 Gaussian elimination method
Week - 4 Cramer method
Week - 5 Eigenvalues and Eigenvectors: Basic definitions
Week - 6 The rank of a linear transformation
Week - 7 The characteristic polynomial of a linear transformation
Week - 8 Diagonalization
Week - 9 Fundamental theorem of algebra
Week - 10 Inner Product Spaces: The concept of inner product
Week - 11 Inner Product Spaces: The concept of the inner product
Week - 12 Orthogonal systems
Week - 13 Gram-Schmidt orthogonalization method
Week - 14 Spectrum Theorem and Quadratic Forms

Learning Activities and Teaching Methods

  • Teaching Methods
  • Lecture
  • Discussion
  • Question & Answer
  • Observation
  • Drill - Practise
  • Case Study
  • Problem Solving
  • Brain Storming
  • Competences
  • Effective use of Turkish
  • Problem solving
  • Information Management
  • To work autonomously
  • Elementary computing skills

Assessment Methods

Assessment Method and Passing Requirements
Quamtity Percentage (%)
1.Midterm Exam 1 25
2.Midterm Exam 1 25
Final Exam 1 50
Toplam (%) 100
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