Curriculum: Master of Engineering in Robotics & Intelligent Autonomous Systems

Curriculum: Master of Engineering in Robotics & Intelligent Autonomous Systems
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curriculum icon Curriculum at a Glance

To receive an MEng in Robotics & Intelligent Autonomous Systems, there are certain requirements that need to be obtained.

Course Title / Description Credit
Introduction to Robotics
Course: MECH6031
Credit: 3
The course introduces students to the fundamentalsand technological aspects of robotics. It presentsthe industrial and advanced applications of robot manipulators and wheeled mobile robots. It concerns the theory of manipulator structures including kinematics, statics and trajectory panning, and the technology of robot actuators, sensors and control units.
Robot Control and Design
Course: MECH6032
Credit: 3
The course deals with the advanced aspects of robotics. It concerns dynamics and motion control of robot manipulators, interaction with the environment using exteroceptive sensory data (force and vision), wheeled mobile robots and motion planning.
Intelligent Robotics
Course: AEEM6117
Credit: 3
The course consists of two major parts. The first part is an introduction of the fundamental theory and algorithms of robot dynamics and control, which is a foundation for design, analysis and operation of robots. The second part introduces topics of intelligent control of robotic systems, which reflects the cutting-edge research activities in the field of robotics. An interesting project involving both hardware and software regarding multi-robot intelligent control will be assigned and completed throughout the course.
Intelligent Industrial Controllers
Course: EECE6005
Credit: 3
Study the current technology and use of intelligent industrial controllers utilized in electric energy, manufacturing, material handling / processing, mass transit, and other industrial plants. Selection and programming of Programmable Automation Controllers (PACs), Programmable Logic Controllers (PLCs), and Distributed Control Systems (DACs) are covered.
Electromagnetic Energy Conversion
Course: EECE6020
Credit: 3
Introduction to methods for analysis of electromagnetic devices under transient and repetitive steady-state conditions in electric energy conversion systems.
Quality Control
Course: MECH6074
Credit: 3
Examines the processes and the techniques used to ensure quality of an item, a system, a process, oran engineering endeavor. The topics of total quality management, statistical process control, and quality systems are explored. Also, the historical development and current trends in quality are examined.
Engineering Project Management
Course: ENGR6014
Credit: 3
The course is appropriate for all engineering and technology disciplines. Program objectives common to many disciplines that are covered in the courseinclude: Ability to lead engineering projects, Ability to function effectively on a multi-disciplinary team, Ability to use skills necessary for engineering practice. The course covers elements of project management including: Safety, Client satisfaction, Financial success, Achieving project objectives, Regulatory compliance, Organization. Developing project proposals. Contracts. Project management techniques and project quality control.
Interdisciplinary Innovation for Engineers
Course: ENGR6045
Credit: 3
Interdisciplinary Innovation for Engineers provides students in technical disciplines a practical and focused set of innovation competencies and processes that are needed to add high-order value to all organizations in a dynamic economy. This interdisciplinary course will enable students to develop foundational attitudes, skills, and knowledge for both core business and engineering innovation functions. This course is designed as a practical, systems-oriented, meaningful experience for learning future-oriented competencies to contribute to all types of organizations while accelerating career enhancement.
Lean Six Sigma
Course: ENGR6025
Credit: 3
In an attempt to become more competitive, industry is looking for individuals that understand how to both problem solve and eliminate waste within an organization. Although lean six-sigma is associated with manufacturing, the principles can also be applied to any process, eliminating the 8 types of waste: • Defects • Overproduction • Waiting • Transportation • Inventory • Extra processing • Under Utilized talent • Motion The course will be project based and utilize lectures and various case studies to demonstrate the application of principles.
Master of Engineering Capstone Project
Course: AEEM8060
Credit: 1
Students perform individual projects under supervision of program faculty in partial fulfillment of the Master of Engineering degree
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