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
  • Functional Analysis II
  • Description
  • Description
  • Learning Outcomes
  • Course's Contribution to Prog.
  • Learning Outcomes & Program Qualifications

Course Introduction Information

Code - Course Title MAT404 - Functional Analysis II
Course Type Required Courses
Language of Instruction Türkçe
Laboratory + Practice 3+0
ECTS 5.0
Course Instructor(s) PROFESÖR NEDİM DEĞİRMENCİ
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 Abstract Mathematics 1,2, Analysis 3,4, Topology 1,2, Linear Algebra 1,2
Recommended Reading List
Assessment methods and criteria Written exam
Work Placement N/A
Sustainability Development Goals

Content

Weeks Topics
Week - 1 Bounded linear operators
Week - 2 Bounded linear operators: bounded linear functionals
Week - 3 Dual Spaces
Week - 4 Dual Spaces
Week - 5 Hahn-Banach Theorem
Week - 6 Hahn Banach Theorem
Week - 7 Existence of bounded linear functionals
Week - 8 Inner product spaces
Week - 9 Inner Product Spaces
Week - 10 Properties of Hilbert Spaces
Week - 11 Properties of Hilbert Spaces: Orthogonality
Week - 12 Properties of Hilbert Spaces: Orthogonality
Week - 13 Orthonormal sets, Gram-Schmidt orthogonalization process
Week - 14 Bessel's inequality, Parseval identity, Fourier Coefficients

Learning Activities and Teaching Methods

  • Teaching Methods
  • Lecture
  • Case Study
  • Problem Solving
  • Brain Storming
  • Competences
  • Productive
  • Rational
  • Questoning
  • Entrepreneur
  • Follow ethical and moral rules
  • Effective use of Turkish
  • Eleştirel düşünebilme
  • Abstract analysis and synthesis
  • Problem solving
  • Elementary computing skills

Assessment Methods

Assessment Method and Passing Requirements
Quamtity Percentage (%)
1.Midterm Exam 1 20
2.Midterm Exam 1 30
Final Exam 1 50
Toplam (%) 100
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