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  • 1.00 Credits

    This lab accompanies ME 3320. Lab activities include the analysis, computer simulation, design, implementation, and measurement of electromechanical systems. (Spring) [Graded (Standard Letter)] Co-requisite(s): ME 3320 Registration Restriction(s): None Corequisite:    ME 3320
  • 3.00 Credits

    In this course, students will explore the world of Machine Learning (ML), a fundamental branch of Artificial Intelligence (AI), and explore its real-world applications. This undergraduate course welcomes students from diverse backgrounds, including, but not limited to, engineering, computer science, and mathematics, providing hands-on experience and practical skills. Students will be introduced to ML's core principles and terminology and learn to apply ML techniques to engineering and technology challenges. Additionally, students will have the opportunity to collaborate on projects that make a meaningful difference. This course will help students unlock the potential of Machine Learning and become a leader in this dynamic field. (Fall) [Graded (Standard Letter)] Prerequisite(s): (MATH 1210 or MATH 1040) and (ENGR 2170 or CS 1400) - Prerequisite Min Grade: D- Prerequisite:    ( MATH 1210 O MATH 1040 ) ( A ENGR 2170 O CS 1400 )
  • 3.00 Credits

    In this course, students will explore the world of computer vision and its integral connection to Artificial Intelligence (AI). Students from diverse backgrounds including, but not limited to, engineering, computer science, and math will delve into the fascinating art and science of enabling machines to understand and interpret visual data. Through a balanced blend of theory and practical experience, participants will acquire the skills and insights necessary to advance industries such as robotics, manufacturing, and autonomous systems. This course aims to demystify the complexities underlying computer vision and its critical role in modern engineering. Students in this class will explore this educational experience, where they'll uncover how computer vision underpins the technology shaping our world. (Spring) [Graded (Standard Letter)] Prerequisite(s): ME 3600 or CS 4150 - Prerequisite Min Grade: D- Prerequisite:    ME 3600 O CS 4150
  • 3.00 Credits

    Application of engineering design principles to a team-based capstone project in the student's specialty area. Emphasis on creative and critical thinking, planning, design, execution and statistical evaluation of experiments, as well as teamwork, project management, and communication. Students will use engineering, systems engineering and project-management principles and concepts learned to-date to execute the project, complete a design report, and present results. Should be taken in the last semester before graduation. (Fall, Spring) [Graded (Standard Letter)] Prerequisite(s): ME 3055 - Prerequisite Min. Grade: D- Registration Restriction(s): Senior standing required Equivalent Course(s): CE 4055, EE 4055 Prerequisite:    ME 3055
  • 3.00 Credits

    An introduction to various instruments used in engineering measurements and methods for obtaining quality experimental data. The course includes lectures where theoretical background and best practices are examined and utilizes hands-on experience with electronics and measurement equipment in a laboratory setting. Statistical analysis is used to analyze, manipulate, plot, and interpret acquired data. (Spring) [Graded (Standard Letter)] Co-requisite(s): ME 4105 Prerequisite(s): EE 2250 and EE 2255 and ENGR 2140 and ENGR 2145 and ME 2030 and ME 3200 - Prerequisite Min. Grade: D- Registration Restriction(s): None Prerequisite:    ( EE 2250 O ENGR 2250 ) ( A EE 2255 O ENGR 2255 ) A ENGR 2140 A ENGR 2145 ( A ME 2030 O ENGR 2030 ) ( A ME 3200 O ENGR 3000 ) Corequisite:    ME 4105
  • 1.00 Credits

    This lab accompanies ME 4100. The lab focuses on hands-on use of instrumentation in engineering applications and proper analysis and reporting methods. (Spring) [Graded (Standard Letter)] Co-requisite(s): ME 4100 Registration Restriction(s): None Corequisite:    ME 4100
  • 3.00 Credits

    This course is an introduction to conduction, convection, and radiation modes of heat transfer. Both steady state and unsteady state cases are covered. Other topics include analytical and numerical solution of practical problems in heat transfer. (Fall) [Graded (Standard Letter)] Co-requisite(s): ME 4205 Prerequisite(s): MATH 2250 and ME 3300 and ME 3305 - Prerequisite Min. Grade: D- Registration Restriction(s): None Prerequisite:    MATH 2250 ( A ME 3300 O ENGR 3050 ) ( A ME 3305 O ENGR 3055 ) Corequisite:    ME 4205
  • 1.00 Credits

    This course provides hands-on laboratory experience to complement and add depth of comprehension to concepts gained in ME 4200 - Heat Transfer. Laboratory assignments explore these concepts in greater depth and provide experiences in conduction, convection, and thermal radiation heat transfer. (Fall) [Graded (Standard Letter)] Co-requisite(s): ME 4200 Registration Restriction(s): None Corequisite:    ME 4200
  • 3.00 Credits

    Vibration of single and multiple degrees of freedom and discrete mass systems. Natural frequencies and mode shapes for free, damped, and undamped systems. Forced vibrations; forcing functions; steady state and transient response. Application of matrix methods and numerical solutions. Analogies between unsteady behavior of mechanical, electrical and fluid systems. Introduction to vibration measurements and instrumentation. Applications; avoidance of vibration problems at the design stage of a new system. (Fall) [Graded (Standard Letter)] Prerequisite(s): ENGR 2140 and ENGR 2170 and ME 2030 and (MATH 2250 or MATH 2280) - Prerequisite Min. Grade: D- Registration Restriction(s): None Prerequisite:    ENGR 2140 A ENGR 2170 ( A ME 2030 O ENGR 2030 ) ( A MATH 2250 O MATH 2280 )
  • 3.00 Credits

    This class will introduce the theory and practice of feedback control systems to students. The topics will include the Laplace transform, control system block diagrams and the transient and steady state response of the control systems. Also, students will learn how feedback systems affect to the transient and steady state response of the control systems. Other topics include dynamic systems, modelling, linearization techniques, and PID controllers. (Spring - Even Years [As Needed]) [Graded (Standard Letter)] Prerequisite(s): ME 3030 - Prerequisite Min. Grade: D- Registration Restriction(s): None Equivalent Course(s): EE 4310 Prerequisite:    ME 3030