Eskisehir Technical University Info Package Eskisehir Technical University Info Package
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  • Türkçe
General Information Programs
  • Graduate School of Sciences
  • Department of Mathematics
  • Master of Science (MS) Degree
  • Course Structure Diagram with Credits
  • Vector Analysis
  • Description
  • Description
  • Learning Outcomes
  • Course's Contribution to Prog.
  • Learning Outcomes & Program Qualifications

Course Introduction Information

Code - Course Title MAT558 - Vector Analysis
Course Type Elective Courses
Language of Instruction Türkçe
Laboratory + Practice 3+0
ECTS 7.5
Course Instructor(s) PROFESÖR DOKTOR NEDİM DEĞİRMENCİ
Mode of Delivery Face to face.
Prerequisites None
Courses Recomended none
Required or Recommended Resources Vector Calculus, Susan Jane Colley, Pearson, 2012.Calculus, Robert A. Adams, Addison Wesley Longman, 2003.
Recommended Reading List Vector Calculus, Susan Jane Colley, Pearson, 2012.Calculus, Robert A. Adams, Addison Wesley Longman, 2003.
Assessment methods and criteria 1 midterm, 1 final
Work Placement None
Sustainability Development Goals

Content

Weeks Topics
Week - 1 Vectors, dot product, cross product, plane, parametric curves, arc length.
Week - 2 Functions of several variables, the derivative, Jacobian matrix.
Week - 3 The chain rule, partial derivatives, directional derivative.
Week - 4 Multiple integration, Areas and volumes, double integrals, triple integrals.
Week - 5 Surfaces: Parametrized surfaces, curves on surfaces and surface area, orientation.
Week - 6 Vector fields: Integral curve, gradient, divergence, rotational.
Week - 7 Scalar and vector line integrals
Week - 8 Green's Theorem
Week - 9 Surface integrals: Integrals of scalar functions on a surface.
Week - 10 Surface integrals: Integral of vector fields on a surface
Week - 11 Stokes's and Divergence Theorem
Week - 12 Differential forms on R^n, basic properties of differential forms
Week - 13 Exterior derivative, Basic properties of the induced mappings.
Week - 14 Integrals of Differential Forms: Stokes’ Theorem.

Learning Activities and Teaching Methods

  • Teaching Methods
  • Lecture
  • Discussion
  • Question & Answer
  • Problem Solving
  • Competences
  • Productive
  • Rational
  • Questoning
  • Creative
  • Follow ethical and moral rules
  • Work in teams
  • Abstract analysis and synthesis
  • Problem solving
  • Information Management
  • Elementary computing skills
  • Decision making

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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