Degree and Course Information > Engineering > Courses

An introduction to Computer Aided Design (CAD) using software based on parametric solid modeling. Students will use the software to create virtual models, show the models in various projections and views, manage the associated computer files, and produce engineering drawings. The course includes the engineering graphics topics of three-dimensional visualization, sketching, displaying solid objects in two-dimensional views, dimensioning, and reading engineering drawings.

Introduction to the principles of Statics. Analysis of two-dimensional and three-dimensional force systems, free-body diagrams and equilibrium equations, analysis of trusses, frames, machines, centroids and distributed forces friction applications. Vector methods used throughout the course.

Introduction to the principles of Dynamics. Kinematics of particles and rigid bodies. Kinetics of particles and rigid bodies using equilibrium, work-energy, and impulse-momentum methods. Vector methods used throughout the course.

Introduction to the basic principles including properties, processes and state equations. First law analysis of closed and open systems; energy interactions, work, heat, flow devices. Second law analysis of closed systems, cycles, entropy and energy.

Introduction to the principles of Mechanics of Materials. Analysis of stress, strain, and deformation in solid materials. Development of the relationships between load, stress, and deformation in columns, shafts, and beams. Analysis and design of members under tension, compression, shear, torsion, and bending.

An introduction to electrical engineering through basic circuit and system concepts. Topics include: resistors, sources, capacitors, inductors, operational amplifiers, node and mesh analysis, Thevenin and Norton equivalents and RLC circuits. Solution of first and second order linear differential equations associated with basic circuit forms will be used.

Numerical solutions to problems in engineering and science using modern scientific computing tools. Application of mathematical judgment in selecting computational algorithms and communicating results. Introduction to MATLAB programming for numerical computation.