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
  • Department of Computer Engineering (English)
  • Course Structure Diagram with Credits
  • Engineering Mathematics
  • Description
  • Description
  • Learning Outcomes
  • Course's Contribution to Prog.
  • Learning Outcomes & Program Qualifications

Course Introduction Information

Code - Course Title MAT247 - Engineering Mathematics
Course Type Required Courses
Language of Instruction İngilizce
Laboratory + Practice 4+0
ECTS 7.0
Course Instructor(s) DOKTOR ÖĞRETİM ÜYESİ CAHİT PERKGÖZ
Mode of Delivery Face to face
Prerequisites MAT 806 Calculus 2
Courses Recomended -
Recommended Reading List -
Assessment methods and criteria 2 midterms, 1 final and homework assignments and quizes
Work Placement -
Sustainability Development Goals

Content

Weeks Topics
Week - 1 Multivariable Calculus: Definitions, Rotation of the Coordinate axes, Scalar and Vector Products, Vector Calculus: Derivatives
Week - 2 Gradients, Divergence of vector field, Curl of a vector field,
Week - 3 Vector Integration, Line integrals Multiple integrals, Arc length, Surface area, Volume calculation
Week - 4 Cylindrical coordinates, Spherical coordinates, Gauss’ Theorem, Stokes’ Theorem;
Week - 5 Complex Calculus: Complex algebra
Week - 6 -
Week - 7 Cauchy-Riemann conditions, Laplace equations, Exponential function
Week - 8 Complex integrations, Cauchy’s integral theorem
Week - 9 Singularities, Residue Integration
Week - 10 Conformal Mapping
Week - 11 -
Week - 12 Introduction to Optimization: Unconstrained optimization
Week - 13 Linear programming, Linear programming problems
Week - 14 Constrained optimization, Lagrange multipliers, Second-order conditions

Learning Activities and Teaching Methods

  • Teaching Methods
  • Lecture
  • Discussion
  • Question & Answer
  • Problem Solving
  • Competences
  • Questoning
  • Problem solving
  • Applying theoretical knowledge into practice
  • To work autonomously
  • Elementary computing skills

Assessment Methods

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