This course helps students learn how to use simulation tools to understand and solve real-world
problems in modern and emerging areas such as Computational Intelligence, Augmented and
Virtual Reality (AR/VR), Blockchain Technology, Business Analytics, Internet of Things (IoT),
Robotics Design, and Industrial AI. The course follows a hands-on, project-based approach where
students gradually build their skills through exploration, experimentation, and application.
Students will begin by exploring widely used simulation tools such as MATLAB, Simulink,
Python libraries, and other domain-specific platforms. They will practice basic simulations using
built-in templates to observe system behaviors and understand the fundamentals of modeling.
These initial activities will help students become comfortable with tool functionalities and how
different elements within a system interact. Once familiar with the tools, students will select a real-
world problem aligned with their domain or interest. They will conduct a feasibility study to
determine if simulation is a suitable approach, compare different tools based on key criteria (ease
of use, performance, support), and design an initial model for the selected problem. Through
instructor guidance and peer feedback, students will refine their model, incorporate real-world
data, and validate their simulation results using appropriate metrics
- Teacher: SHENBAGHARAMAN A
- Teacher: DHIVYA G