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Mechanics of Composite Materials

Introduction, definition, classification, behaviors of unidirectional composites – prediction of strength, stiffness – factors influencing strength and stiffness – failure modes – analysis of lamina; constitutive classical laminate theory – thermal stresses – theories of failure – design consideration – mechanical properties of composite materials – analysis of composite laminated beams – thin walled composite beams – bending of composite plates.

 

Structural Dynamics

Elements of analytical dynamics – discrete systems with multiple degrees of freedom – elastic and inertia coupling – natural frequencies and mode – free vibration response – uncoupling of equations of motion – modal analysis – forced vibration response – vibration isolation – vibration of continu- ous systems – differential equations and boundary conditions – longitudinal, flexural and torsional vibrations of one-dimensional structures – vibration analysis of simplified aircraft and launch vehicle structures – structural damping – free and forced response of continuous systems – introductio

Finite Element Method

Introduction – approximate solutions to governing differential equations (GDE) – finite element for- mulations starting from GDE – finite element formulations based on stationarity of a functional – one-dimensional finite element analysis; shape functions, types of elements and applications – two- and three-dimensional finite elements – numerical integration – applications to structural mechanics and fluid flow.

Advanced Solid Mechanics

Review of basic equations of elasticity – state of stress at a point – analysis of strain, constitutive relations – generalized Hook’s law – formulation of boundary value problems – solution of 2D prob- lems – energy methods in elasticity – bending, shear and torsion – thin walled beams – applications.

Elements of Aerospace Engineering

History of aviation – types of flying machines – anatomy of an aircraft; fundamental aerodynamic variables – aerodynamic forces – lift generation – airfoils and wings – aerodynamic moments – concept of static stability – control surfaces; mechanism of thrust production – propellers – jet engines and their operation – elements of rocket propulsion; loads acting on an aircraft – load factor for simple maneuvers – Vn diagrams; aerospace materials; introduction to aerospace structures; basic orbital mechanics – satellite orbits; launch vehicles and reentry bodies.

Mathematical Methods in Aerospace Engineering

Review of Ordinary Differential Equations: analytical methods, stability – Fourier series, orthog- onal functions, Fourier integrals, Fourier transform – Partial Differential Equations: first-order PDEs, method of characteristics, linear advection equation, Burgers’ equation, shock formation, Rankine-Hogoniot jump condition; classification, canonical forms; Laplace equation, min-max prin- ciple, cylindrical coordinates; heat equation, method of separation of variables, similarity transforma- tion method; wave equation, d’Alembert solution – Calculus of Variations: standard variational prob-

Computer Vision

Basics of computer vision, and introduce some fundamental approaches for computer vision research: Image Filtering, Edge Detection, Interest Point Detectors, Motion and Optical Flow, Object Detection and Tracking, Region/Boundary Segmentation, Shape Analysis, and Statistical Shape Models, Deep Learning for Computer Vision, Imaging Geometry, Camera Modeling, and Calibration. Recent Advances in Computer vision.

 

Data Mining

Introduction to data mining concepts; linear methods for regression; classification methods: k- nearest neighbourclassifiers, decision tree, logistic regression, naive Bayes, Gaussian discriminant analysis; model evaluation & selection; unsupervised learning: association rules; apriori algorithm, FP tree, cluster analysis, self-organizing maps, google page ranking; dimensionality reduction methods: supervised feature selection, principal component analysis; ensemble learning: bagging, boosting, AdaBoost; outlier mining; imbalance problem; multi class classification; evolutionary computa

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