GAZI UNIVERSITY INFORMATION PACKAGE - 2019 ACADEMIC YEAR

COURSE DESCRIPTION
ENGINEERING MATHEMATICS/MAT202
 Course Title: ENGINEERING MATHEMATICS Credits 4 ECTS 5 Course Semester 4 Type of The Course Compulsory
COURSE INFORMATION
-- (CATALOG CONTENT)
-- (TEXTBOOK)
-- (SUPPLEMENTARY TEXTBOOK)
-- (PREREQUISITES AND CO-REQUISITES)
-- LANGUAGE OF INSTRUCTION
Turkish
-- COURSE OBJECTIVES
-- COURSE LEARNING OUTCOMES
Apply knowledge of mathematics, science, and engineering
Identify, formulate, and solve engineering problems
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-- MODE OF DELIVERY
The mode of delivery of this course is Face to face
 --WEEKLY SCHEDULE 1. Week Introduction to vectors, basic definitions, vector operations, vector spaces and linear algebra. 2. Week Linear independence, span, basis, inner product, orthogonality, vector norms. Directional derivative and gradient of a scalar function. Divergence and 3. Week Derivative of a vector function, partial derivative. Parametric representation of curves. Tangent vector, arc length. 4. Week Gradient, divergence and curl. 5. Week Line integrals of vector functions. 6. Week Surface and volume integrals. 7. Week Integral theorems: Green, Gauss and Stokes' theorems. 8. Week Midterm Examination 9. Week Determinant of a matrix, properties of determinants. Submatrices, minors, cofactors, inverse of a matrix by adjoint (cofactor) method. 10. Week System of linear algebraic equations. Homogeneous and non-homogeneous systems. 11. Week Solution of a system of equations by matrix inversion method, Cramer’s rule and Gauss elimination method. 12. Week Gauss-Jordan method, consistent and inconsistent systems, general solution. Determinant and inverse of a matrix by Gauss elimination method. 13. Week Eigenvalue problems, basic definitions, eigenvalues and eigenvectors, modal matrix, equivalence and similarity transformations. 14. Week Diagonalization of a matrix, powers of a square matrix. 15. Week Cayley-Hamilton theorem, quadratic forms, positive definiteness, diagonal form of quadratic forms. 16. Week -
-- TEACHING and LEARNING METHODS
-- ASSESSMENT CRITERIA
 Quantity Total Weighting (%) Midterm Exams 1 60 Assignment 0 0 Application 0 0 Projects 0 0 Practice 0 0 Quiz 0 0 Percent of In-term Studies 60 Percentage of Final Exam to Total Score 40