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  • 3.00 Credits

    Design principles and prototyping techniques for additive manufacturing. Students are introduced to various additive manufacturing technologies which may include SLA, SLS, 3D scanning, epoxy casting, vacuum forming, and injection molding. Emphasizes using engineering analysis during the design process, applying advanced CAD techniques, selecting appropriate materials, and applying ergonomic design principles. Non-mechanical engineering majors may take this course with instructor permission. ** COURSE LEARNING OUTCOMES (CLOs) ** At the successful completion of this course, students will be able to 1) apply engineering analysis to design and prototype a system that meets defined specifications 2) design for and print engineered parts using SLA technology 3) design for and print engineered parts using SLS technology 4) create and manipulate meshes using 3D scanning technology and CAD programs 5) design for and prototype engineered parts using epoxy casting, injection molding, and/or vacuum forming technology. Course fee required. Prerequisites: MECH 2250 (Grade C- or higher) OR Instructor Permission.
  • 4.00 Credits

    Fundamentals of Fracture Mechanics elective course for Mechanical Engineering majors. Students learn about basic principles of Fracture Mechanics. Students learn stress intensity and energy approach to predict crack growth and the nature of crack growth in various types of materials using theoretical concepts, numerical estimation as well as experimental and computational tools. A brief introduction to non-destructive testing techniques is also included. ***COURSE LEARNING OUTCOMES (CLOs)***At the successful conclusion of this course students will 1) Model and analyze crack growth in brittle and ductile materials using computational/theoretical tools. 2) Make informed design decisions to prevent catastrophic failures in components due to crack propagation, including effects from environmental factors. 3) Identify ATSM standards for testing of brittle and ductile materials for destructive fracture testing. Apply non-destructive testing techniques to study existing flaws. 4) Acquire and apply new knowledge using appropriate learning strategies. Prerequisites: MECH 3250 (grade C- or higher) OR Instructor Permission. FA
  • 3.00 Credits

    Students learn to solve a wide range of engineering problems involving ordinary and partial differential equations. Topics include the method of characteristics, separation of variables, Fourier-Legendre series, Fourier-Bessel series, Multi-step methods, numerics for higher-order ODEs, radius of convergence, Newtons divided difference interpolation, Sturm-Liouville theory, numerics for elliptic, parabolic, and hyperbolic PDEs, and Blasius similarity solution for boundary layer flow. **COURSE LEARNING OUTCOMES (CLOs)** At the successful conclusion of this course students will: 1. Derive ordinary and partial differential equations governing problems in engineering. 2. Solve differential equations having analytical solutions. 3. Classify partial differential equations as parabolic, hyperbolic, or elliptic. 4. Discretize and solve partial differential equations using a range of numerical techniques and assess numerical stability. Prerequisites: MECH 2250 (grade C- or higher) OR Instructor Permission. SP
  • 3.00 Credits

    Fundamentals, advantages, and drawback of various optimization algorithms with an emphasis on engineering applications. Practical examination of how optimization algorithms are implemented in commercial engineering design software. ** COURSE LEARNING OUTCOMES (CLOs) ** At the successful conclusion of this course, students will be able to 1) Use built-in optimization functions in MATLAB to solve multi-dimensional and multi-constraint optimization problems 2) Write their own gradient-based optimization algorithms and compare them to those available within MATLAB 3) Apply optimization algorithms to analyze engineering scenarios 4) Use commercial CAD packages to perform structural shape/topology optimization and validate their designs. Course fee required. Prerequisites: MECH 2250 (Grade C- or higher) OR Instructor Permission.
  • 3.00 Credits

    Students learn the basic principles behind the development of numerical solutions to the partial differential equations (PDEs) governing fluid flow and are introduced to commercial computational fluid dynamics (CFD) software. Techniques for characterizing PDEs are introduced along with discretization methods. Numerical methods are applied and students develop Matlab scripts to solve a handful of model equations. More complex problems are solved using CFD software. **COURSE LEARING OUTCOMES (CLOs) ** At the successful completion of this course, students will be able to: 1. Classify the basic partial differential equations (PDEs) governing fluid flow (and other physical processes) and develop basic space and time discretization methods leading to numerical representations of these PDEs. 2. Discretize model PDEs, choose and apply appropriate boundary and initial conditions, and write their own individual Matlab scripts to solve these model equations numerically. 3. Assess the accuracy and stability of numerical results and the efficiency of the chosen numerical methods. 4. Demonstrate a basic understanding of grid generation techniques. 5. Solve two- and three-dimensional problems involving internal and external flow using commercial computational fluid dynamics (CFD) software. Prerequisites: MECH 3700 AND MECH 4500 (All grade C- or higher).
  • 1.00 - 3.00 Credits

    An independent research course that allows upper-level mechanical engineering students to work closely with a faculty member to explore engineering through research. Projects are chosen at the discretion of the faculty member. Students will have an opportunity to present their research at Engineering Design Day or similar venue. Repeatable up to 3 credits subject to graduation restrictions. **COURSE LEARNING OUTCOMES (CLOs) At the successful conclusion of this course, students will be able to: 1. Identify and compile background pertaining to the research project. 2. Propose solutions pertaining to the research project using engineering design principles and/or the scientific method. 3. Model and analyze a system pertaining to the research project. 4. Design and conduct experiments and interpret associated results pertaining to the research project. 5. Draw conclusions and identify future work pertaining to the research project. Prerequisites: Instructor permission.
  • 1.00 - 3.00 Credits

    Practical design experience in collaboration with Atwood Innovation Plaza. Students may be required to sign a non-disclosure agreement prior to working on projects. Repeatable up to only 3 credits, subject to graduation restrictions. **COURSE LEARNING OUTCOMES (CLOs) At the successful conclusion of this course, students will be able to: 1. Collaborate effectively with others both orally and in writing to establish goals, plan tasks, meet deadlines, and articulate results. 2. Create solutions using the engineering design process that meet specified needs with appropriate consideration for global, cultural, social, environmental, ethical, and economic factors. 3. Model, analyze, design, and/or prototype physical systems, components or processes. Prerequisites: MECH 1000 AND MECH 1150 (Both Grade C- or higher) AND Instructor Permission.
  • 1.00 - 4.00 Credits

    Specialized topics in Mechanical Engineering used to fulfill technical elective requirements. Repeatable up to 16 credits, subject to graduation restrictions. **COURSE LEARNING OUTCOMES (CLOs) At the successful conclusion of this course, students will be able to: 1. Formulate and evaluate complex engineering problems by applying principles of engineering, science, and mathematics. 2. Model, analyze, and design physical systems, components or processes.
  • 1.00 - 4.00 Credits

    Specialized topics in Mechanical Engineering used to fulfill technical elective requirements. This course is taught virtually from another institution under technical elective sharing agreements. **COURSE LEARNING OUTCOMES (CLOs) At the successful conclusion of this course, students will be able to: 1. Formulate and evaluate complex engineering problems by applying principles of engineering, science, and mathematics. 2. Model, analyze, and design physical systems, components or processes.
  • 0.50 - 3.00 Credits

    Specialized topics in Mechanical Engineering used to fulfill technical elective requirements. Repeatable up to 12 credits subject to graduation restrictions. **COURSE LEARNING OUTCOMES (CLOs) At the successful conclusion of this course, students will be able to: 1. Design experiments for physical systems or processes, analyze experimental data, and make informed conclusions from the data. 2. Model, analyze, design, and prototype physical systems, components or processes.