MT-2201

Complex Variables and Transforms

Course ID
MT-2201
Department
Software Engineering
Campus
Chella Campus
Level
Undergraduate
Semester
4th
Credit
3 + 0
Method
Lecture

Course Outlines:

Introduction:

Review of complex numbers, Complex valued functions, Elementary functions(exponential and logarithmic functions, Trigonometric and hyperbolic functions and theirs inverses),

Limits and continuity, 

Applications in Engineering

Complex Differentiation and Integration:

Derivatives of complex valued functions, Differentiability,

Analyticity, Cauchy Riemann Equations, Harmonic Functions,

Complex integrals, Cauchy-Goursat Theorem, Independence of Path, Cauchy’s Integral Formulas and Their Consequences, Applications

Power Series:

Taylor Series, Laurent Series, Singularities, Zeros and poles, Residue integration method, Residue theorem,

factorization, Tridiagonal solver

Conformal mapping

Laplace Transformation:

Linearity, Scaling, First shifting theorem, Heaviside’s Shifting theorem,

Inverse Laplace transformation, Properties of inverse Laplace,

Convolution theorem, Applications in relevant engineering discipline

Special functions and Fourier Transforms:

(Gamma, Beta functions, Periodic functions, Error function),

Fourier Series, Fourier Sine and Cosine series

Fourier transform, Fourier cosine and sine transform, properties.

Applications in relevant engineering discipline

Z-Transformation:

Z-transform, Properties of Z-transform, linearity and scaling, Standard Z transform, Inverse Z-transform

Inverse Z- transform by using residue, convolution theorem of Z-transform,

 Formation of difference equation and its solution using Z-transform.

Course Learning Outcomes

Teaching Methodology (Proposed as applicable):

Lectures (audio/video aids), Written Assignments/ Quizzes, Tutorials, Case Studies relevant to engineering disciplines, Semester Project, Guest Speaker, Industrial/ Field Visits, Group discussion, Report Writing

Assessment:

Mid Term, Report writing/ Presentation, Assignments, Project Report, Quizzes, Final Term

Suggested Books:

Advanced Engineering Mathematics, by Erwin Kreyszing, Latest Edition

 Complex Variables and Applications by Churchill, Latest Edition

R. J. Beerends, Fourier and Laplace Transform, Cambridge University Press, Latest Edition.

There are 133 total credit hours to complete the Software Engineering degree.