Courses

Research Training Programme (RTP)

• Structural Optimization: Size, Shape and Topology

• Uncertainty Modeling and Analysis

• Optimization Methods

• Mathematics for Aerospace Engineering

Non-research Training Programme (Non-RTP)

• Plates, Shells and Geometric Elasticity

• Nonlinear Finite Element Method

• Magnetoelastic Slender Structures

• Wave Propagation in Designed Materials

Core

• Flight Mechanics

• Fluid Dynamics

• Flight Vehicle Structures

• Mechanics and Thermodynamics of Propulsion

• Guidance, Navigation and Control

• Mathematics for Aerospace Engineering

Electives

• Vibrations

• Fluid-Structure Interactions

• Aeroelasticity

• Parallel Computing in Mechanics Problems

• Numerical Linear Algebra

• Biomechanics

• Finite Element Method

• Computational Heat Transfer and Fluid Flow

Semester I:   

• Introduction to Aerospace Engineering, Computer Programming (Basic), Environmental Sciences, Ethics and Self Awareness, Mathematics-I, Oscillations and Optics, NSS

Semester II:

• Elements of Aerodynamics, Aircraft Systems and Instrumentation, Engineering Drawing, Communication Skills (Advanced), Numerical Analysis, Electromagnetic Theory, NSS 

Semester III:

• Workshop Project, Aircraft Materials and Processes, Aircraft Propulsion, Aircraft Performance, Aircraft Structures, Technical Communication, Thermodynamics, Psychology

Semester IV:

• Engineering Analysis and Design, Aero Engine Design, Aircraft Structural Analysis and Design, Aircraft Stability and Control, Introduction to Electronics Engineering, Educational Tour

Semester V: 

• Vibrations and Aeroelasticity, Gas Dynamics, Airplane Design, Computational Fluid Dynamics, Space Dynamics, Minor Project

Semester VI: 

• 16 weeks Internship

Semester VII: 

• Compressible and Finite Wing Aerodynamics, Helicopter Dynamics, Air Transportation and Operations, Optimization Techniques, Major Project

Semester VIII: 

• Avionics, Entrepreneurship and Project Management, Major Project, Discipline, NSS

Minor Specialization in Airplane Design

• Automatic Flight Control, Advanced Aerospace Propulsion Systems, Advanced Aerodynamics, Airplane Design and Optimization, Dynamics of Aerospace Structures

• Introduction to Mathematical Thinking

• Deep Learning: Neural Networks and Deep Learning , Structuring Machine Learning Projects and Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization, Convolutional Neural Networks

• Machine Learning

• Fundamentals of Fluid-Solid Interactions, Fundamentals of waves and vibrations

• Analytical Mechanics for Spacecraft Dynamics

• Developments of structural dynamics

• Fundamentals of Parallelism on Intel Architecture

• Material Behavior

• Density Functional Theory

• Simulation and modeling of natural processes

• Image Processing for Engineering and Science

• Fundamentals of Flight Mechanics

• Ferrous Technology I and Ferrous Technology II

• EDIVET: Do you have what it takes to be a veterinarian?

• Particle Dynamics

• Computers, Waves, Simulations: A Practical Introduction to Numerical Methods using Python

• MRI Fundamentals

• Sports and Building Aerodynamics

• Matrix Methods

• Learning How to Learn: Powerful mental tools to help you master tough subjects

• Vital Signs: Understanding What the Body Is Telling Us

• Mathematics for Engineers: Matrix Algebra for Engineers, Differential Equations for Engineers, Vector Calculus for Engineers, Numerical Methods for Engineers, 

• Kinematics: Describing the Motions of Spacecraft

• Introduction To Composites

• An Introduction to Cardiovascular Fluid Mechanics

• Introduction to Parallel Programming in OpenMP

• Aircraft Dynamic Stability & Design Stability Augmentation System

• MATLAB Programming for Numerical Computation

• Variational Calculus and its applications in Control Theory and Nanomechanics

• Nonlinear Dynamics: Mathematical and Computational Approaches

• Variational Methods for Complex Materials and Processes

• Curves and Surfaces: Geometry and Physical Applications