SE_AIDS

1. To learn the Laplace Transform, Inverse Laplace Transform of various functions, its applications.
2. To understand the concept of Fourier Series, its complex form and enhance the problem-solving skills.
3. To understand the basic techniques of statistics like correlation, regression, and curve fitting for data analysis, Machine learning, and AI.
4. 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:

1. Understand the concept of Laplace transform and its application to solve the real integrals in engineering problems.
2. Understand the concept of inverse Laplace transform of various functions and its applications in engineering problems.
3. Expand the periodic function by using the Fourier series for real-life problems and complex engineering problems.
4. Understand complex variable theory, application of harmonic conjugate to get orthogonal trajectories and analytic functions.
5. Apply the concept of Correlation and Regression to the engineering problems in data science, machine learning, and AI.
6. Understand the concepts of probability and expectation for getting the spread of the data and distribution of probabilities.