Materials: structure of metals, testing for mechanical properties, physical properties, heat treatments, iron and steel, non-ferrous metals, polymers and composite materials. Processes: casting, rolling, forging, extrusion, sheet-metal forming, powder-metallurgy, polymer and composite processing, rapid-prototyping and machining (turning and milling). Engineering metrology and instrumentation. Introduction to CNC coding and simulations.

Introduction to programming in MATLAB, foundations in computing, root finding, solving systems of linear equations with direct and iterative methods, solving nonlinear equations of multi-variables, curve-fitting, numerical differentiation and integration, solving ODEs and PDEs using Eulerian time-marching scheme and finite difference method (FDM), solving many engineering problems related with initial- and boundary-value problems, Laplace and heat equations.

Introduction to finite element method (FEM) as a computational tool for stress analysis. Basic theory with emphasis on linear elasticity and application of the FEM to various engineering problems: stress analysis, natural modes and frequencies of vibration, heat transfer, mechanics of micro and nano structures. Development of finite element code and use of commercial codes for practical applications.

Indicial notation, tensor algebra, coordinate transformation, linear elasticity, stress, strain, constitutive law for linear elastic solids, the principle of virtual displacements, plane stress and plane strain, yield criteria (von Mises, Tresca, yield surfaces), work hardening models (isotropic hardening, kinematic hardening), elasticity, plasticity, uni-axial deformation, multi-axial deformation.

Numerical methods for elliptic, parabolic, hyperbolic and mixed type partial differential equations arising in fluid flow and heat transfer problems. Finite-difference, finite-volume and some finite-element methods. Accuracy, convergence, and stability; treatment of boundary conditions and grid generation. Review of current methods. Assignments require programming a digital computer.

The primary objective of this course is to teach the basic principles of Aerospace Engineering. A brief introduction to the major areas of the field including aerodynamics, flight dynamics, guidance & control, structures and propulsion will be made. Methodologies, including basic mathematical implementations, for designing aerospace systems will be discussed. During this course, students will gain insight into the fundamental issues of the field along with the present progress made on these problem areas. A general understanding for the failure of aerospace systems will also be developed through example cases.

Modeling, simulation and identification of physical systems. Instrumentation. Sensors and transduscers. Hardware components. Pneumatic, hydraulic, mechanical and electrical actuators. Programmable logic controllers (PLC). Signals, systems, and controls. Real time interfaceing and programing. Microprocessor-based electro-mechanical control applications and projects for factory automation, manufacturing and machine systems.

Product realization systems from Computer Aided Design (CAD) to Computer Aided Manufacturing (CAM). Manufacturing Automation. Modern sensors in manufacturing. Computer control of manufacturing systems. Computer Numerical Control (CNC) machine tools. Machining processes. Rapid prototyping. Fundementals of industrial robotics.

Bioengineering, engineering materials, medicine, polymers, metals, smart materials, surgical implants, surgical instruments, cell and tissue mechanics, microsurgery, self-expanding stents, physical therapy, phase transformations, shape memory alloys.

A capstone design course where students apply engineering and science knowledge in a mechanical engineering design project. Development, design, implementation and management of a project in teams under realistic constraints and conditions. Emphasis on communication, teamwork and presentation skills.

A capstone design project on an industrially relevant problem. Students work on teams in consultation with various faculty and industrial members.

Indicial notation, tensor algebra, coordinate transformation, linear elasticity, stress, strain, constitutive law for linear elastic solids, the principle of virtual displacements, plane stress and plane strain, yield criteria (von Mises, Tresca, yield surfaces), work hardening models (isotropic hardening, kinematic hardening), elasticity, plasticity, uni-axial deformation, multi-axial deformation.

Introduction to finite element method (FEM) as a computational tool for stress analysis. Basic theory with emphasis on linear elasticity and application of the FEM to various engineering problems: stress analysis, natural modes and frequencies of vibration, heat transfer, mechanics of micro and nano structures. Development of finite element code and use of commercial codes for practical applications.

Numerical methods for elliptic, parabolic, hyperbolic and mixed type partial differential equations arising in fluid flow and heat transfer problems. Finite-difference, finite-volume and some finite-element methods. Accuracy, convergence, and stability; treatment of boundary conditions and grid generation. Review of current methods. Assignments require programming a digital computer.

The primary objective of this course is to teach the basic principles of Aerospace Engineering. A brief introduction to the major areas of the field including aerodynamics, flight dynamics, guidance & control, structures and propulsion will be made. Methodologies, including basic mathematical implementations, for designing aerospace systems will be discussed. During this course, students will gain insight into the fundamental issues of the field along with the present progress made on these problem areas. A general understanding for the failure of aerospace systems will also be developed through example cases.

Modeling, simulation and identification of physical systems. Instrumentation. Sensors and transduscers. Hardware components. Pneumatic, hydraulic, mechanical and electrical actuators. Programmable logic controllers (PLC). Signals, systems, and controls. Real time interfaceing and programing. Microprocessor-based electro-mechanical control applications and projects for factory automation, manufacturing and machine systems.

Product realization systems from Computer Aided Design (CAD) to Computer Aided Manufacturing (CAM). Manufacturing Automation. Modern sensors in manufacturing. Computer control of manufacturing systems. Computer Numerical Control (CNC) machine tools. Machining processes. Rapid prototyping. Fundementals of industrial robotics.

Bioengineering, engineering materials, medicine, polymers, metals, smart materials, surgical implants, surgical instruments, cell and tissue mechanics, microsurgery, self-expanding stents, physical therapy, phase transformations, shape memory alloys.

These seminar series aim to bring together the intersection of health and social sciences in the first year medical students – including those who are enrolled in ELC. The main objective o these seminars is to raise awareness about the experiences and various case studies from the perspectives of different disciplines about health, disease and medical practices. Thus increase the level of knowledge of the students, and to enable them to define the role of social and cultural determinants of health at the individual and societal level in the practice of medicine. Each seminar will last for 1 hour and requires the attendance of the students. Students will be assessed as “satisfactory or unsatisfactory” based on their attendance records.

The time value of money; discounted cash flow analysis; valuing financial assets; capital budgeting; risk and return; cost of capital; corporate financing decisions; and capital structure.

The time value of money; discounted cash flow analysis; valuing financial assets; capital budgeting; risk and return; cost of capital; corporate financing decisions; and capital structure.

The time value of money; discounted cash flow analysis; valuing financial assets; capital budgeting; risk and return; cost of capital; corporate financing decisions; and capital structure.

Analysis of special corporate finance topics including dividend policy, capital structure, leasing, option valuation, risk management, mergers, and acquisitions.