Course Learning Outcomes:

1. Work effectively and harmoniously with different learning styles and personalities.
2. Apply project management principles and concepts to planning, implementing and delivering a client-based project.
3. Develop a process that follows established design principles to generate a solution to mechatronics design problems.
4. Describe key concepts in applied sustainability with respect to engineering design criteria.
5. Communicate concisely, articulately and effectively using a variety of mediums (technical writing, presentations, graphics, formal and informal communications).
6. Recognize the functionality of different components in a mechatronic and robotic system.
7. Work with a simple mechatronic and robotic system using basic components and prototyping techniques.
8. Evaluate and reflect on one’s own knowledge, skills and learning.

Course Learning Outcomes:

1. CLOs coming soon; please refer to your course syllabus in the meantime.

Course Learning Outcomes:

1. Proficiently implement fundamental data structures and algorithms using the C programming language on a microcontroller.
2. Identify and describe the standard data structures and algorithms.
3. Describe fundamental techniques for comparing alternative data structures and algorithms.
4. Select the appropriate data structure or algorithm to correctly and efficiently solve a given computational problem.
5. Analyze a given computational problem and correctly implement it using suitable data structures and algorithms.
6. Examine solutions using critical thinking to increase efficiency and robustness of a given computational problem solution.
7. Identify legal requirements, liabilities, commitments, and risks associated with software design and development.
8. Evaluate performance of a design, using criteria that incorporate specifications, limitations, assumptions, and other relevant factors.

Course Learning Outcomes:

1. Develop and apply engineering communication skills (verbal, written, and presentation).
2. Apply code version control and technical documentation systems to create traceable engineering designs.
3. Apply principles of math and engineering to analyze and generate solutions to technical design problems as applied to robotic systems engineering.
4. Apply creativity and the engineering design process to generate solutions to open-ended design problems in robotics.
5. Demonstrate principles of project economics, management, and leadership in a team setting.
6. Recognize engineering as a regulated profession, including reference to relevant engineering regulations/codes/standards, ethical considerations, health and safety, economic, and project risks.
7. Describe the impact of technical decisions on key stakeholders in an engineering project, including society and the environment.

Course Learning Outcomes:

1. Classify systems based on their properties: in particular, to understand and exploit the implications of linearity, time-invariance, causality, memory, and bounded-input, bounded-out (BIBO) stability.
2. Apply the concepts of convolution, impulse response and transfer function to linear time-invariant systems.
3. Determine, interpret and plot Fourier transform magnitude and phase for continuous- and discrete-time functions.
4. Apply Laplace transform and its inverse to solve differential equations and to determine the response of linear time-invariant systems to known inputs.
5. Use Z transform and its inverse to solve difference equations and to determine the response of linear time-invariant systems to known inputs.
6. Derive the Fourier Transforms and use it as a tool for frequency-domain analysis.
7. Simulate signals and systems using modern computer software packages.
8. Use linear systems tools, especially transform analysis and convolution, to analyze and predict the behavior of linear systems.
9. Investigate sampling theorem, aliasing and eth effect of quantization.

Course Learning Outcomes:

1. Define the basic concepts of thermodynamics.
2. Define the thermodynamic properties of pure substances.
3. Apply the First Law to energy balances in open and closed systems such as compressors, turbines and equipment enclosures.
4. Apply the First and Second Laws to the analysis of simple vapour power and refrigeration cycles.
5. Identify and analyze engineering problems involving the three basic modes of heat transfer, i.e., conduction, convection and radiation.
6. Conduct experiments to measure and analyze heat transfer and thermal systems.

Course Learning Outcomes:

1. Define fluid properties and basic concepts of fluid flow and scaling.
2. Determine forces applied by fluids at rest.
3. Apply energy and momentum balance to analyze fluid power systems using integral equations and balances.
4. Analyze flow through piping systems with friction, minor losses, valves, pumps and cylinders.
5. Identify and assemble components necessary for the design of fluid power systems.
6. Solve flow system performance problems using Bernoulli with friction, minor losses, pump and fan performance curves.
7. Conduct experiments to measure and analyze fluid and fluid power systems.

Course Learning Outcomes:

1. Develop and apply advanced communication skills (verbal, written, presentation)
2. Apply principles of engineering to analyze and generate solutions to advanced design problems.
3. Understand design as a process and apply that process to generate a solution to the design of mechatronic components and mechatronic systems.
4. Understand advanced principles of project management and apply to a mechatronics design problem in a team setting.
5. Consider financial factors, environmental factors and social factors as they relate to the design of mechatronic systems.
6. Apply sustainable design principles in the design and development of mechatronic and robotic systems.
7. Identify health and safety risks and applicable standards in the design and manufacturing of mechatronic and robotic systems.
8. Demonstrate professional conduct and integrity, the principles of fairness, and the capacity to integrate diverse and alternative viewpoints in decision-making.

Course Learning Outcomes:

1. Explain the basic transduction mechanisms in different types of sensors, and the evolution of emerging sensor and actuator technologies.
2. Explain the concepts behind converting electrical power into a mechanical output (actuators), and describe different types of motors.
3. Explain the operation of commonly used sensors and actuators, recognizing their limitations.
4. Test and calibrate different sensors and actuators, and be able to read and understand their datasheets.
5. Analyze and identify the most appropriate sensors and actuators for an application in a mechatronic system.
6. Work collaboratively on team tasks to design, build and test an integrated system involving sensors and actuators, and demonstrate system operation.
7. Investigate, describe, and demonstrate appropriate safety considerations required in the build and testing of an integrated system involving systems and actuators.

Course Learning Outcomes:

1. CLOs coming soon; please refer to your course syllabus in the meantime.

Course Learning Outcomes:

1. Derive minimal representation of rotation matrices and transform coordinates.
2. Assign coordinate frames to robot manipulators according to DH convention and derive their kinematic equations.
3. Derive geometric Jacobian of robot manipulators and analyze the manipulator singularity.
4. Derive the dynamics of robot manipulators and simulate them in MATLAB Simulink.
5. Design and evaluate position and force controllers for robot manipulators.
6. Numerically validate coordinate transformations, and manipulator kinematic equations, geometric Jacobian and singularity using MATLAB.
7. Investigate the effect of singularity on path following and gravity on set-point tracking.
8. Describe appropriate safety considerations in working with robotic equipment.

Course Learning Outcomes:

1. CLOs coming soon; please refer to your course syllabus in the meantime.

Course Learning Outcomes:

1. CLOs coming soon; please refer to your course syllabus in the meantime.