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Course Unit Title Course Unit Code Type of Course Unit Level of Course Unit Year of Study Semester ECTS Credits
Mathematical Analysis I MAT522 Compulsory Master's degree 1 Fall 8

Name of Lecturer(s)

Prof. Dr. Halis AYGÜN
Prof. Dr. Serap BULUT
Prof. Dr. Serdal PAMUK
Associate Prof. Dr. Arzu AKGÜL
Associate Prof. Dr. Vildan ÇETKİN
Associate Prof. Dr. Banu PAZAR VAROL

Learning Outcomes of the Course Unit

1) Expound the topological structure of IR and IRn.
2) Investigate the notion of convergence in IRn.
3) Explain the compact and connected sets and also learn the notions of continuity functions, uniform continuity of functions and uniform convergence in IRn.
4) Calculate the multi-valued differentials, the concept of curve in IRn and directional derivatve.
5) State the important definitions and theorems such as chain rule, multi-valued mean value theorem, Taylor theorem, Inverse function theorem, Closed function theorem, maximum and minimum problems, related to both of analysis and topology in IRn.

Program Competencies-Learning Outcomes Relation

  Program Competencies
1 2 3 4 5 6 7
Learning Outcomes
1 No relation No relation No relation No relation No relation No relation No relation
2 No relation No relation No relation No relation No relation No relation No relation
3 No relation No relation No relation No relation No relation No relation No relation
4 No relation No relation No relation No relation No relation No relation No relation
5 No relation No relation No relation No relation No relation No relation No relation

Mode of Delivery

Face to Face

Prerequisites and Co-Requisites

None

Recommended Optional Programme Components

Not Required

Course Contents

This course provides candidates with profound knowledge on completeness of IR, topological structure of IRn, convergence sequence in IRn, compact and connected sets, continuous functions and uniform continuity, Stone-Weierstrass theorem, differential of multivariable functions, curves in IRn, directional derivatives and differential, definition of derivative and notation of matrix, differentiable mappings, chain rule, multivariable mean-value theorem, Taylor theorem, maximum-minimum problems, inverse function theorem, closed function theorem and Lagrange multipliers.

Recommended or Required Reading

Planned Learning Activities and Teaching Methods



Assessment Methods and Criteria

Language of Instruction

Other

Work Placement(s)

Not Required