Course Objectives:
- To familiarize with the Laplace Transform, Inverse Laplace Transform of various functions, and its applications.
- To acquaint with the concept of Fourier series, its complex form and enhance the problem solving skills.
- To familiarize the concept of complex variables, C-R equations with applications.
- The fundamental knowledge of Trees, Graphs etc.
- To study the basic techniques of statistics like correlation, regression and curve fitting for data analysis, Machine learning and AI.
- To understand some advanced topics of probability, random variables with their distributions and expectations.
Course Outcomes:
On successful completion, of course, learner/student will be able to:
- Apply the concept of Laplace transform to solve the real integrals in engineering problems. (Blooms Level L1, L2)
- Apply the concept of inverse Laplace transform of various functions in engineering problems. (Blooms Level L1, L2)
- Expand the periodic function by using Fourier series for real life problems and complex engineering problems. (Blooms Level L1, L2, L3)
- Find orthogonal trajectories and analytic function by using basic concepts of complex variable theory. (Blooms Level L1, L2, L3)
- Apply the concept of Correlation and Regression to the engineering problems in data science, machine learning and AI. (Blooms Level: L2, L3)
- Illustrate understanding of the concepts of probability and expectation for getting the spread of the data and distribution of probabilities. (Blooms Level L1, L2)
- Teacher: shantaram raul