Engineering problem solving using computers and other engineering tools.

Principles and practice of visualization and graphical representation using modern computer-aided design tools.

Introduction to new, contemporary, and emerging issues in engineering and computing that are not regularly included in lower division courses. Course content varies and will be announced in the schedule of classes.

Introduction to the field of engineering and computing in a seminar format. Open to first-year students only.

Introduction to the principles of mechanics. Equilibrium of particles and rigid bodies. Distributed forces, centroids, and centers of gravity. Moments of inertia of areas. Analysis of simple structures and machines. A study of various types of friction.

Introduction and application of linear algebra and numerical methods to the solution of physical and engineering problems. Techniques include iterative solution techniques, methods of solving systems of equations, and numerical integration and differentiation.

Kinematics of particles and rigid bodies. Kinetics of particles with emphasis on Newton’s second law; energy and momentum methods for the solution of problems. Applications of plane motion of rigid bodies.

Concepts of stress and strain; stress analysis of basic structural members; consideration of combined stress, including Mohr’s circle; introductory analysis of deflection; buckling of columns.

Definitions, work, heat, and energy. First law analyses of systems and control volumes. Second law analysis.

Theoretical and experimental analysis of systems involving one degree of freedom, including measurement methods. Introduction to free vibrations in systems with two degrees of freedom.

Basic principles of fluid statics and dynamics; conservation laws of mass, momentum, and energy developed in the context of the control volume formulation; application of dimensional analysis, dynamic similitude, steady-state laminar viscous flow, and turbulent flow.

An examination of political, social, technical, and economic issues associated with sustainable development.

Emerging topics in engineering and computing. Course content varies and will be announced in the schedule of classes by title. May be repeated up to 8 hours as topic varies.

Estimating project time and resources, scheduling, Gantt and pert charts, budgeting, monitoring and tracking results.

Graduation with Leadership Distinction: GLD: Research

Major team-based design project to be undertaken in a student’s final year of study; project planning.

Graduation with Leadership Distinction: GLD: Research

System implementation, testing, verification and validation of results. Written reports and oral presentations in a technical setting.

Graduation with Leadership Distinction: GLD: Research

Technology innovation, exploitation of intellectual property, and technology feasibility analysis.

Contracts, products liability, intellectual property including patent, trade secrets, copyrights and trademarks, and business torts relating to product design.

Processes, strategies and tools to analyze and facilitate the emergence of science and technology oriented ventures.

Entrepreneurial perspective and planning, market preparation, business model analysis, business planning and fundraising.

Design for the environment; life cycle analysis; environmental economics and global competitiveness; legal and regulatory affairs; and management of technological change. Interdisciplinary collaboration of engineering, science, math, and business majors. Graduate student standing or consent of instructor.

An introduction to computer-aided design with solid modeling for pre-service and in-service teachers. Design process, professional communication and collaboration methods, design ethics, and technical documentation. Non-engineering and computing majors only. Prerequsite: college algebra with trigonometry.

Addresses the development of knowledge, skills, and understanding of modern technology. For preservice and in-service teachers. College of Engineering and Computing majors are excluded.

Introduces technological processes employed in engineering and engineering technology for K-12 teachers. For pre-service and in-service teachers. College of Engineering and Computing majors are excluded.

Introduction to the profession and core topics of industrial engineering. Introduction to problem solving, ethics and industrial engineering design and analysis techniques.

Engineering materials, deformative manufacturing, subtractive manufacturing, additive manufacturing, assembly processes, quality control and productivity; computer aided manufacturing.

Manual components and cognitive aspects of work.  Ergonomics and work design methods for increased productivity and improved worker health and safety. Integration of motion and time study with human factors and ergonomics and safety engineering.

Planning and control of operations in both manufacturing and service industries. Effective management and utilization of resources and the production of cost-effective products and services. Principles, models, and techniques used for production planning and inventory control.

Application of operations research to industrial engineering. Algorithmic and practical implementation of mathematical models to describe and/or improve systems and to gain real-time efficiency.

Industrial engineering experiments, instrumentation, and analysis and interpretation of data.

Individual investigation or studies of special topics. Requires contract approval.

Quality tools and techniques employed to help prevent defects in engineered products, and to avoid problems when delivering solutions or services to customers.

Methods to analyze and optimize facilities layout and the arrangement and movement of physical resources to support the production and distribution of goods and services.

Open-ended team design experiences that develop the ability to develop, implement, and improve integrated systems that include people, materials, information, equipment, and energy. Real-world experiences and business perspectives.

Content varies and will be announced in the schedule of classes by section title. May be repeated for different topics.

Advanced concepts of smart manufacturing: hardware infrastructure, cyber infrastructure, data infrastructure, industrial Internet of things, machine to machine network, machine vision, manufacturing event understanding.

Engineering analysis of the movement, production, and storage of raw materials, work-in-process inventory, finished goods, and services from point of origin to point of consumption or use.

Discrete event simulation methodology emphasizing the statistical basis for simulation modeling and analysis. Overview of computer languages and simulation design applied to various industrial situations.