Theory and execution of selected mechanical engineering measurements. Lectures and 1 three-hour lab meeting.

Not available at this time

Not available at this time

Principles of machine element design principally from a functional perspective, including safety, endurance, strength, and usage. Design project explores other issues.

Important mechanical properties of materials engineering such as yield strength and fracture toughness experimentally investigated with a view towards materials selection and design. Skills emphasized: experimental technique, statistical analysis of data, report writing, and oral presentation. Prerequisites: M&I-ENG 201, 211 and 273. ENGLISH 351 (ENGLISH 351 may be taken concurrently).

Important mechanical properties of materials engineering such as yield strength and fracture toughness experimentally investigated with a view towards materials selection and design. Skills emphasized: experimental technique, statistical analysis of data, report writing, and oral presentation. Prerequisites: M&I-ENG 201, 211 and 273. ENGLISH 351 (ENGLISH 351 may be taken concurrently).

Important mechanical properties of materials engineering such as yield strength and fracture toughness experimentally investigated with a view towards materials selection and design. Skills emphasized: experimental technique, statistical analysis of data, report writing, and oral presentation. Prerequisites: M&I-ENG 201, 211 and 273. ENGLISH 351 (ENGLISH 351 may be taken concurrently).

Important mechanical properties of materials engineering such as yield strength and fracture toughness experimentally investigated with a view towards materials selection and design. Skills emphasized: experimental technique, statistical analysis of data, report writing, and oral presentation. Prerequisites: M&I-ENG 201, 211 and 273. ENGLISH 351 (ENGLISH 351 may be taken concurrently).

Probability theory and basic statistics with emphasis on engineering applications. Discrete and continuous probability models and their use in analysis of experimental data, quality control, manufacturing processes and Monte Carlo simulation. Basic regression analysis and statistical procedures for estimation. Prerequisite: MATH 132 or equivalent.

The fundamentals of the science of thermodynamics, control volume analysis of the conservation of mass and energy and the second law of thermodynamics, pure substance property relations, applications to refrigeration and power systems. Prerequisites: MATH 233, PHYSICS 151, 153 (MATH 233 and PHYSICS 151, 153 may be taken concurrently).