30 courses with the subject ME, each shown exactly as we captured it from the college's catalog, with every element we hold. Where the wording looks broken, that is our reading of the catalog, not the college's text.
Credit(s) | $49.50 Fee Kinematics and kinetics of particles and rigid bodies in plane motion. Work-energy and impulse-momentum principles. (Fall, Spring) [Graded Letter]
Credit(s) | $33 Fee The course emphasizes integration of design and manufacturing. Topics covered include manufacturing information systems, manufacturability considerations at the design and development phase, and DFM/DFA applications. (Spring) [Graded Letter]
Credit(s) | $16.50 Fee Professional experience in mechanical engineering. Program coordinated by school with cooperation of participating employers. Students submit summary report and company evaluation. Cooperative Education students only. Permission of instructor is required. (As Needed) [Pass/Fail]
Credit(s) | $49.50 Fee An introduction to modeling mechanical, fluid and electrical systems using differential equations. Methods include transfer-function and state-space methods, and time-domain and frequency-domain analysis of modeled systems. (Fall) [Graded Letter]
Credit(s) | $49.50 Fee Introduction to the principles of engineering design and product development, including planning, concept generation, concept selection, system-level design, detail design, prototyping, and product testing. (Spring) [Graded Letter]
Credit(s) | $49.50 Fee Internal atomic, molecular, crystalline, organic, amorphous structures, and dependence of physical properties upon these structures. Properties, requirements, and uses of modem engineering materials. (Fall) [Graded Letter]
Credit(s) | $49.50 Fee Introduction to the principles of design and analysis of machines and machine components including synthesis of mechanisms, mechanical linkages, cams, and gears. Design for functionality, motion, force, strength, and reliability. (Fall) [Graded Letter]
Credit(s) | $49.50 Fee Fundamental principles of thermodynamics. Thermodynamic properties of fluids. First law and second law of thermodynamics and their application to closed systems. Energy relationships involving heat, work, and various other forms of energy. Introduction to thermodynamic cycles. (Spring) [Graded Letter]
Credit(s) | $49.50 Fee Fundamental principles of fluid mechanics. Properties of fluids. Fluid statics. Control volume and transport theorem. Continuity and motion equations. Inviscid and viscous flows. Laminar and turbulent flows. Incompressible and compressible flows. Internal, external, and free surface flows. Bernoulli’s equation. (Spring) [Graded Letter]
Credit(s) | $16.50 Fee This lab accompanies ME 3300 . Emphasis is on analysis and reporting of results. (Spring) [Graded Letter]
Credit(s) | $49.50 Fee An interdisciplinary systems approach to dynamics and control involving the integration of mechanical, electrical, and electronics engineering using microprocessor control. Involves computer modeling and designing of mechanical, electrical, fluid, and thermal systems. (Spring) [Graded Letter]
Credit(s) | $16.50 Fee This lab accompanies ME 3320 . Lab activities include the analysis, computer simulation, design, implementation, and measurement of electromechanical systems. (Spring) [Graded Letter]
Credit(s) | $49.50 Fee 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 Letter]
Credit(s) | $49.50 Fee 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 Letter]
Credit(s) | $16.50 Fee Professional experience in mechanical engineering. Program coordinated by school with cooperation of participating employers. Students submit summary report and company evaluation. Cooperative Education students only. Permission of instructor is required. (As Needed) [Pass/Fail]
Credit(s) | $49.50 Fee 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 Letter]
Credit(s) | $49.50 Fee 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 Letter]
Credit(s) | $16.50 Fee 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 Letter]
Credit(s) | $49.50 Fee 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 Letter]
Credit(s) | $16.50 Fee This course provides hands-on laboratory experience to complement and add depth of comprehension to concepts gained in
Credit(s) | $49.50 Fee This course introduces the Fundamentals of Computational Fluid Dynamics (CFD) for analyzing and simulating fluid flow, heat transfer, and related transport phenomena in civil and mechanical engineering systems. Students will apply numerical methods to model real-world engineering problems using advanced CFD techniques grounded in the science of flow, the study of fluid motion, interaction, and behavior in natural and engineered systems. By applying modern CFD tools, such as Flow-3D, students will explore engineering applications including hydraulic structures, water treatment, aerodynamics, and thermal-fluid systems. Emphasis is placed on understanding the governing equations of fluid motion, discretizing those equations, and verifying and validating CFD results for engineering design and decision-making. (Fall) [Graded Letter]
Credit(s) | $49.50 Fee 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 Letter]
Credit(s) | $49.50 Fee 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 Letter]
Credit(s) | $49.50 Fee Introduction to various topics in aeronautical engineering, including the atmosphere and flight regimes, aerodynamics, propulsion, stability and control, and aircraft performance. (Fall - Even Years [As Needed]) [Graded Letter]
Credit(s) | $49.50 Fee Introduction to aerodynamics, including conservation equations and fundamental principles, inviscid incompressible flow, airfoil and finite wing theories, introduction to compressible flows and viscous flows. (Fall - Even Years [As Needed]) [Graded Letter]
Credit(s) | $49.50 Fee Introduction to aerospace propulsion, including review of relevant fluids and thermodynamics, engine performance, and vehicle integration overview. Examination of specific propulsion systems including propellers, turbojets/turbofans, rockets, and ramjets/scramjets. (Spring - Even Years [As Needed]) [Graded Letter]
Credit(s) | $49.50 Fee Introduction to small unmanned aerial vehicles. This includes flight dynamics, control, and navigation. Students will develop an understanding of aircraft flight through both hands-on and software simulation tools. They will also develop and fly a mission plan with a small unmanned aircraft. (As Needed) [Graded Letter]
Credit(s) | $49.50 Fee This course provides (1) coverage of the basic principles of heat transfer and a broad range of applications; (2) the blend of fundamentals and applications; and (3) a highly intuitive and practical understanding of the material by emphasizing the physics and the underlying physical phenomena involved. This course covers conduction, convection, and radiation modes of heat transfer (fin and heat exchanger design, and heat transfer through house and commercial buildings). Both steady state and unsteady state cases are covered. Other topics include analytical and numerical solution of practical problems in heat transfer. This course is designed to take advantage of students’ intuition, making the learning process easier and more engaging. In this class, the highly technical matter will be communicated effectively in a simple yet precise language. (Spring - Even Years [As Needed]) [Graded Letter]
Credit(s) | $49.50 Fee This undergraduate course is tailored for students seeking to transform maintenance practices in various engineering domains. In this course, students explore the world of predictive maintenance, discovering how Artificial Intelligence (AI) techniques can be utilized to enhance equipment reliability, reduce downtime, and minimize operational costs. Through an engaging combination of theory and practical applications, students will unravel the complexities of predictive maintenance and uncover how AI supports modern engineering practices. This course equips students with the knowledge and skills to implement AI-driven predictive maintenance strategies, providing a competitive edge in the engineering industry. (Spring) [Graded Letter]
Credit(s) | $16.50 per credit Fee This course consists of special areas of interest to students. The course may be taken no more than four (4) times for credit, given the course subtitle is different each time. Because the course can be used to fulfill engineering electives, the content must meet the ABET definition for “engineering topics appropriate to the discipline.” (Fall [As Needed]) [Graded Letter]
Source: Southern Utah University's catalog, linked per course · table learning_unit · CourseShelf publish 61
