MT-1203

Linear Algebra

Course ID
MT-1203
Department
Software Engineering
Campus
Chella Campus
Level
Undergraduate
Semester
2nd
Credit
3 + 0
Method
Lecture

Course Outlines:

System of Linear Equations and Applications:

Overview of linear system of equations, Cases of unique solution, No solution and infinite solutions

Echelon form, Gauss elimination method, Inversion of matrix in the context of solution of system of equations, LU factorization, Row space and column space

Relevant engineering case studies such as Network analysis, Traffic Flows, Balancing chemical reaction, Leontief Input-output model, Finding max stress in compound cylinder, Applications of linear systems in force balancing of structures, Markov process

Vector Spaces and Transformations:

Vector Spaces: Real vector spaces, Subspaces, Basis and dimension, Rank, Nullity

Gram-Schmidt process for finding orthonormal basis

Linear Transformation, Kernel of Transformation, Range of Transformation, Matrix of Transformation,

Applications: Cryptography, Coding and decoding, Breaking of codes, Robotic Applications of linear transformations

Eigenvalues and Eigen Vectors:

Eigenvalues, Eigenvectors, Similar matrices, Diagonalization

Quadratic forms, Positive definite Matrices, Singular Value Decomposition, Inner product Spaces

Applications of linear Algebra: Constructing curves and surfaces, Computer graphics, Genetics

Linear Programming:

Solution Introduction to linear programming, Optimization, Graphical method, Simplex method, Optimization problems in engineering and economics

Dual simplex methods, Duality theory, Primal and dual problems, transportation models, north-west corner, least-cost and Vogel’s approximations methods

Assignment model, the transshipment model and other relevant engineering case studies

Application of Linear Algebra in Dynamical Systems:

Numerical System of linear ODEs, Eigenvalue problems, Homogeneous and nonhomogeneous system of ODE.

Dynamical systems, Population dynamics, Prey-Predator models, Stability analysis

Course Learning Outcomes

Demonstrate the skills to solve the basic problems of mathematics .

Capable to apply mathematical skills on engineering problems.

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:

Software Engineering, Sommerville I., latest Edition, Pearson Inc.,

Software Engineering, A Practitioner’s Approach, Pressman R. S.& Maxim B.R., latest Edition, McGraw-Hill.

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