The AT&T Material Handling Laboratory and the AT&T Manufacturing Automation Laboratory are used in many undergraduate and graduate courses in the University of Arkansas Department of Industrial Engineering Curriculum. The courses that regularly utilize the laboratory facilities include Application of Machine Vision, Application of Robotics, Materials Handling, Manufacturing Systems, and Manufacturing Design and Processes. The Industrial Engineering Design class also uses the laboratory facilities when the design for that semester warrants.

The Materials Handling class uses the laboratory facilities to provide greater understanding of the equipment, systems, problems and analysis of industrial material handling. The students are able to use the laboratory facilities to actually program and analyze the functions of working conveyor and carousel systems.

The Application of Robotics class uses the laboratory facilities to enhance understanding of industrial robotics including programming and applications. The students are able to use the laboratory robots to program applications involving sensors and tooling to enhance their understanding of application analysis, selection, justification, research, economics, and human interface with machines.

The Manufacturing Systems class uses the robots, programmable controllers, and conveyor systems to provide hands-on experience on design for automation, industrial robot programming, numerical control programming, and PLC programming.

The Application of Machine Vision class uses the machine vision equipment in the laboratory to study automated machine vision applied to assembly and inspection tasks traditionally performed by human operators. The students develop applications by acquiring images, processing the image data, analyzing the image, transmitting the analysis results, and communicating those results.

The Manufacturing Design and Processes class utilizes laboratory equipment to enhance understanding of basic manufacturing behavior as a means for identifying areas of leverage and comparing alternative control policies from the standpoint of manufacturing management.