MCS4993/MCS7993
Robotics in Tech Education

Autonomous robots are an example of real-time embedded systems with electrical sensors, mechanical body, actuators, and computational components. Because of the multi-diciplinary nature of robotics as well as the chances to experience real-world science and engineering projects, robotics contests have been popular in K-12 environments. However, neither academic standards involving robotics in K-12 environments have been setup, nor systematic support to teachers and coaches of robotics teams has been provided. Now Lawrence Tech is proud to announce two new classes for everyone who is interested in using computerized robotics for improving K-12 educational environments. Everyone with the following background is eligible to take the class: computer science/engineering, electrical engineering, mechanical engineering, math, physics, engineering technology, science education, technology education, technical communication, and among others.
Common objectives of the class for every major are as follows:
  • Learn fundamental concepts in autonomous robotics
  • Learn robotics programming languages (visual icon-based and text-based)
  • Learn basics of robot construction
  • Learn how to introduce computerized robotics for robotics contests such as FLL and Robofest
  • Design new robotics games
  • Write articles for conferences and workshops in Robotics and Education
  • Robotics applications for exhibitions
Specific goals for each group are:
  • Computer Science / Computer Engineering major students: Develop software tools and environments. Research on distributed computing and cooperative robotics.
  • Engineering students: Design and implementation of new sensors/sensor multiplexors
  • Non computer/engineering major students: Focuses on assessment of robotics programs in K-12 environment. More on robot exhibitions.
  • Objectives for K-12 teachers: Developing class plans.
  • Objectives for parents: Paradigms to introduce robotics for their children. Research on proper age for introducing robotics.
This class is cross-listed, which means you may register one of the following classes which meet all at the same time on Mon. 5:45-8:25pm. Special project will be assigned considering your major and program.
  • Undergraduate - 1941 MCS4993 02 Topics in MCS: Robotics in Technology Education
  • Graduate - 1940 MCS7993 04 Advanced Topics: Robotics in Technology Education
Robotics platform to be used:
  • Lego Mindstorms
  • Basic stamp for FIRST robotics or LTU Laptop robots(optional)
Benefits from this class include becoming a professional Lego robotics instructor and/or a coach for robotics teams. You could publish articles in educational journals. All the technologies learned from autonomous robotics programs can be directly applied to the development of practical mechatronic systems such as computer-controlled cars with intelligent sensors, intelligent houses, and intelligent factories. If you have any questions, please email to Dr. Chung at chung@ltu.edu.

MCS4993 Syllabus
MCS7993 Syllabus

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