Undergraduate Courses in Mechanical Engineering
1201. Introduction to Mechanical Engineering as a Career. (ENGR 1201) 2(1-3)
The art and practice of mechanical engineering and its role in society. Promotes critical and analytical thinking; gives basic skills for the engineering approach to problem-solving, engineering design process and reverse engineering; and introduces engineering ethics.
1310. Computer Based Graphics and Design I. 3(2-3)
Introduction to computer-aided engineering design and analysis; principles of graphics, solid modeling, integrated applications of software in engineering drafting, design and problem solving.
1320. Elementary Numerical Methods and Engineering Problem Solving. 3(2-3)
Engineering problem-solving using high level programming language and numerical computing software. Programming logic; linear algebra and matrices; solutions to systems of linear equations; interpolation and curve fitting; numerical integration and differentiation.
2146. Engineering Measurements. 1(0-3)
Basic experimental techniques and instrumentation commonly found in industry. Experimental planning and analysis. ASTM methods introduced. Data acquisition means studied. Significance of data and presentation (written and oral). Computer usage and report writing emphasized. Prerequisites: MATH 2414, PHYS 2326/2126, MEEN 1320 or CSEN 2304 and CEEN 2301.
2302. Mechanics II (Dynamics). (ENGR 2302) 3(3-0)
Kinematics of particles and rigid bodies; motion relative to translating and rotating reference frames. Kinetics of particles and rigid bodies: Newton's second law, work-energy and impulse and momentum. Introduction to vibrations. Prerequisites: CEEN 2301, MATH 2414 and MEEN 1320 or CSEN 2304.
2355. Statics and Dynamics of Rigid Bodies. (ENGR 2303) 3(3-0)
Resultants of force systems. Equilibrium of rigid bodies. Friction. Centroids and moments of inertia. Kinematics and kinetics of particles and rigid bodies. This course cannot be taken for credit by CEEN and MEEN majors. Prerequisites: PHYS 2325/2125 and MATH 2414.
3145. Material Science Laboratory. 1(0-3)
Tensile, impact, fatigue, hardness and hardenability, creep, phase and microstructure, corrosion testing and microscopic analysis. Ferrous and non-ferrous materials and polymers are studied. ASTM methods are introduced and applied. Introduction to data acquisition and recording. Reporting in both written and oral format. Prerequisite: CEEN 2301 or MEEN 2355 and MEEN 1310. Corequisite: MEEN 3344.
3344. Materials Science. 3(3-0)
Atomic and crystal structure of materials. Chemical, mechanical, electrical and thermal properties of engineering materials. Materials selection and design. Prerequisites: CHEM 1311/1111 and MATH 2413 and credit or enrollment in PHYS 2326.
3347. Thermodynamics. 3(3-0)
Basic laws governing energy transmission. Thermodynamic properties of liquids and vapors, the ideal gas law and the behavior of ideal gases. Concept of reversible process. Prerequisites: MATH 2414, MEEN 1320 or CSEN 2304.
3348. Heat Transfer. 3(3-0)
Fundamental laws relating to heat transfer including steady and transient heat conduction, forced, convection, natural convection and radiation. Introduction to heat exchanger design. Prerequisites: MEEN 3347, CHEN 3392 and MATH 3320.
3349. Fundamentals of Manufacturing Processes. 3(2-3)
Selection criteria for manufacturing processes, processing of castings, bulk deformation process, sheet metal working, polymer and polymer-matrix composite production, machining and welding processes. Prerequisite: MEEN 3344.
3350. Design of Machine Elements. 3(3-0)
Application of principles of mechanics and physical properties of materials to the design of machine elements such as shafts, springs, power screws and gears. Prerequisites: CEEN 3311, MEEN 2302 and MEEN 3344.
3352. Kinematics of Machines. 3(3-0)
Linkages, instant centers, velocities, accelerations and synthesis of mechanisms, cams gears and dynamic analysis of machines. Prerequisites: MATH 2414 and MEEN 2302.
In addition to the listed prerequisites for the following 4000 series courses, a student must have an overall grade point average of 2 or higher.
4131. Mechanical Engineering Laboratory. 1(0-3)
Experimental investigation of mechanical engineering systems: engines, fluid flow, air conditioning, heat transfer devices, pumps and mechanical systems. Prerequisites: MEEN 3146, MEEN 3348.
4263. Mechanical Engineering Design Projects I. 2(1-3)
Capstone design course emphasizing quantitative analytical/computer and experimental methods including optimization and simulation as applied to the design process for a broad range of practical problems in mechanical engineering. Integrates knowledge gained from all required mechanical engineering courses in a major system design project. Prerequisite: MEEN 3350.
4264. Mechanical Engineering Design Projects II. 2(1-3)
Capstone design course emphasizing the application of analytical/computer and experimental methods to the solution of a broad range of practical problems in mechanical engineering. Integrates knowledge gained from all required mechanical engineering courses via the completion of a system design project. Prerequisite: MEEN 4263.
4317. Internal Combustion Engines. 3(3-0)
Thermodynamics of cycles, comparison of characteristics and performance of several forms of internal combustion engines including Otto and Diesel types of piston engines. Fuels, combustion, injection and supercharging. Prerequisite: MEEN 3347.
4335. Special Problems. V:1-3
Individual solution of selected problems in mechanical engineering conducted under direct supervision of a faculty member. May be repeated for up to 6 semester hours. Prerequisite: senior standing.
4336. Selected Topics. V:1-3
One or more topics of mechanical engineering. May be repeated when topic changes. Prerequisite: senior standing.
4341. Application of Thermodynamics. 3(3-0)
Design of power and refrigeration systems, mixing (or separation), multiphase, air conditioning and energy conversion processes. Prerequisites: MEEN 3347 and MATH 3315.
4343. Dynamics of Systems. 3(3-0)
Analysis of dynamic-mechanical, electrical, fluid and thermal system elements; modeling, analysis and design of physical, dynamic systems composed of these elements. Prerequisites: MATH 3320, MEEN 2302 and MEEN 1320.
4344. Control of Systems. 3(2-3)
Analysis and design of controlled, dynamic, linear mechanical, electrical, fluid and/or thermal systems; introduction to concepts of stability, controllability, observability and to discrete time; sampled data control systems; optimal control systems and nonlinear control theory. Prerequisite: senior standing in Engineering.
4345. Engineering Vibrations. 3(3-0)
Free and forced vibrations, degrees of freedom, energy methods, transients, harmonic analysis, damping. Prerequisites: MATH 3320 and MEEN 2302.
4346. Computational Methods in Mechanical Engineering. 3(3-0)
Applications of numerical techniques to the solution of mechanical engineering problems. Prerequisites: MEEN 1320 and credit for or registration in MEEN 3348 or MEEN 3350.
4348. Gas Dynamics. 3(3-0)
Basic concepts and fundamental equations of gas dynamics. Emphasis on the subsonic and supersonic steady flow. Analysis of shock wave phenomena. Prerequisites: MATH 3320 and credit for or registration in MEEN 3348.
4349. Air Conditioning. 3(3-0)
Application of factors of temperature and humidity to the design of air conditioning systems. Design and applications of heating and cooling requirements, total energy systems, etc. Prerequisite: MEEN 3347.
4351. Machine Design. 3(3-0)
Design techniques of brakes, clutches, bevel, worm and helical gears, thick cylinders, flywheels, impact and elastic bodies, curved beams, flat plates and cams. Prerequisite: MEEN 3350.
4352. Design of Turbomachinery. 3(3-0)
Design and application of centrifugal and axial flow pumps and turbines, consideration of similarity parameters, real machine performance characteristics, materials and methods of construction, selection process for various applications. Prerequisites: MEEN 4341 and CHEN 3392.
4354. Introduction to the Finite Element Method. 3(3-0)
Principles and applications of the finite element method. Matrix and vector operations, structure and organization of finite element computer programs. Structural and nonstructural elements and applications. Prerequisites: MEEN 1320, MATH 3320, CEEN 3311 and senior standing.
4355. Robotics I. 3(3-0)
Analysis of methods of design and operation of robots and robotic systems. Kinematics and dynamics of manipulators, trajectory planning and motion control, sensing and vision, discussion of command languages and planning of job assignments. Prerequisite: senior standing.
4371. Introduction to Unmanned Aerial Vehicles. 3(3-0)
DHS and its two subordinate organizations; Coast Guard and FEMA can significantly benefit from the use of UAVs on its operations. In fact, DHS has recently started the use of UAVs for U.S. Customs and Border Protection operations along Texas-Mexico border. In late 2010, a UAV is based at NAS, Corpus Christi, TX. UAVs are increasingly being used by government agencies, such as DHS, Coast Guard, and U.S. Air Force. UAVs are emerging as a separate field within the aerospace industry. Currently, the need for educating/training technical personnel in this field is mostly satisfied by short workshops through continuing education activities.
UAVs have several advantages over manned aircrafts: (a) since a pilot is not required, the endurance limit is determined mainly by the fuel capacity. (b) UAVs can travel long distances without intermediate stops. (c) UAVs can carry a significant sensor payload. They have relatively less expensive cost of operation. The course will address topics including: Review of UAV Systems, Communications, Roles of Satellites, Payload, Image Capturing, Airframe and Propulsion Components, Survivability, Electronic Warfare, Launch and Recovery, Propulsion, Stability and Control. This course will be designed in a way suitable for all engineering and science major students. The level of technical knowledge of all science and engineering seniors should be satisfactory for the level required for this course. This course will cover the topics from a system point of view, components of the system, functional relations and interactions between the components, and give students practical working knowledge, rather than specific theory of the system and its components.
4372. Resource Optimization for Homeland Security. 3(3-0)
This course will introduce students to the basic operation research problems in homeland security control, such as resource optimization, airport security, and patrol scheduling. Students will learn how to model the problems and use appropriate algorithms and technologies to solve them. Students will gain a detailed understanding of the homeland security problems, the operation research models and algorithms, and practice to use them in the homeland security applications. The following topics will be covered: Linear Programming, Simplex Method, Duality Theory and Sensitivity Analysis, The Transportation and Assignment Problems, Network Optimization Models, Dynamic Programming, Integer programming, Game Theory, Decision Analysis, Queuing Theory. This course will provide students the basic scientific knowledge on modeling and optimization and prepare them for the research on homeland security simulation and modeling. Any senior level engineering major student who has completed Calculus courses will be able to complete this course successfully without any other prerequisite.
4373. Introduction to Information Analysis and Modeling in Security Engineering. 3(3-0)
This course will present the fundamental methods and tools used for information analysis and modeling related to homeland security. It will also introduce engineering and technical challenges of homeland security, including modeling and analysis, technological issues, command, control & situational awareness and data integration requirements. The course is to familiarize the students with the simulation of discrete, continuous and dynamic systems. Different scenarios in homeland security will be discussed and simulated using data from various national databases, such as global terrorism database. The course enables the students to develop the skills and experience in simulating homeland security systems using the advanced features in Arena, Visual Basic.net and other software. Particular attention will be focused on agent-based discrete event modeling methods. Using the knowledge from this course, the students are expected to be ready to join some ongoing DHS research projects, such as Complex Event Modeling, Simulation, and Analysis (CEMSA) Project.
4385. Manufacturing of Composites. 3(2-3)
Introduction to composites manufacturing processes; hand lay-up, air and oven curing, filament winding and pultrusion. Structural design criteria of marine, aerospace, chemical and civil structures applied. Practical case studies and projects. Prerequisites: MEEN 3344 and CEEN 3311. Purchase of lab supplies required.
This page was last updated on: June 11, 2014