Characteristics of fluids, fluid statics, Bernoulli equation, fluid kinematics, boundary layers, viscous flows and turbulence.

Basic concepts to analyze and design different machine components. Design of assemblies to meet certain requirements.

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.

Basic instrumentation and measurement techniques for mechanical engineering systems. Experimentation with thermal systems and machines to demonstrate thermodynamics, fluid, heat transfer, dynamics and control concepts. Data acquisition, analysis, and presentation techniques.

Teaches deterministic vibratory motion of mechanical systems. Includes free, forced-harmonic, forced-periodic, and forced-transient vibration of single-degree-of-freedom, multiple-degree-of-freedom, and continuous systems. It also gives an introduction to the Finite Element Method.

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.

The digitalization of the manufacturing industry is a topic of global interest. This course will cover Industrial Revolutions; The Fourth Industrial Revolution; Advanced Simulation Systems; System Integration; Additive Manufacturing / 3D printing; Internet of Things (IoT); Cyber-physical systems; Big data analytics and advanced algorithms; Augmented reality; Cloud computing; Cybersecurity; Smart Manufacturing.

Physicochemical hydrodynamics with fluid flows in the micro scale; governing equations of fluid flows at low speeds mimicking biological systems; exploration of the emerging themes including 3D printed microfluidics, disposable paper-based microfluidics and machine learning for microfluidics.

Fluid dynamics and transport phenomena associated with biological and biomedical problems are studied through selected topics from cardiovascular fluid dynamics (including heart valves, ventricle assist devices), swimming/flying in nature and biomimetic technologies. Course objectives are to prepare students to design and perform contemporary research in physiological, biological and biomedical fluid mechanics, and to understand emerging biomimetic engineering methods, emphasizing quantitative understanding and fundamental engineering concepts. The course is intended for advanced undergraduate and entering graduate students. Familiarity with elementary fluid mechanics and introductory Matlab programming is expected. Interested students who have not previously taken a fluid dynamics class should consult with the instructor.

Fundamental concepts of modeling, control sensing, and intelligence of robotic systems. Robotic manipulators and mobile robots. Forward and inverse kinematics, trajectory planning, dynamics, control, and programming of robotic manipulators. Hardware components of mobile robots, visual and navigational sensors, pose estimation, navigation, and reasoning in mobile robots. Hands-on experience with robotic arms and mobile robots in a laboratory environment.

Topics will be announced when offered.

Topics will be announced when offered.

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.

Teaches deterministic vibratory motion of mechanical systems. Includes free, forced-harmonic, forced-periodic, and forced-transient vibration of single-degree-of-freedom, multiple-degree-of-freedom, and continuous systems. It also gives an introduction to the Finite Element Method.

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.

The digitalization of the manufacturing industry is a topic of global interest. This course will cover Industrial Revolutions; The Fourth Industrial Revolution; Advanced Simulation Systems; System Integration; Additive Manufacturing / 3D printing; Internet of Things (IoT); Cyber-physical systems; Big data analytics and advanced algorithms; Augmented reality; Cloud computing; Cybersecurity; Smart Manufacturing.

Physicochemical hydrodynamics with fluid flows in the micro scale; governing equations of fluid flows at low speeds mimicking biological systems; exploration of the emerging themes including 3D printed microfluidics, disposable paper-based microfluidics and machine learning for microfluidics.

Fluid dynamics and transport phenomena associated with biological and biomedical problems are studied through selected topics from cardiovascular fluid dynamics (including heart valves, ventricle assist devices), swimming/flying in nature and biomimetic technologies. Course objectives are to prepare students to design and perform contemporary research in physiological, biological and biomedical fluid mechanics, and to understand emerging biomimetic engineering methods, emphasizing quantitative understanding and fundamental engineering concepts. The course is intended for advanced undergraduate and entering graduate students. Familiarity with elementary fluid mechanics and introductory Matlab programming is expected. Interested students who have not previously taken a fluid dynamics class should consult with the instructor.

Fundamental concepts of modeling, control sensing, and intelligence of robotic systems. Robotic manipulators and mobile robots. Forward and inverse kinematics, trajectory planning, dynamics, control, and programming of robotic manipulators. Hardware components of mobile robots, visual and navigational sensors, pose estimation, navigation, and reasoning in mobile robots. Hands-on experience with robotic arms and mobile robots in a laboratory environment.

Topics will be announced when offered.

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 of 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.