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MSE 101W Process, Form, and Convention in Professional Genres

• Appointment to the position requires at least one year of experience or equivalent training in providing academic writing support to students. Examples of relevant experience and training include but are not limited to prior TA positions in which writing support is a significant component of the work, staff positions in writing support, and coursework in English as an Additional Language (EAL) learning or writing support.
• Must demonstrate above average writing ability, sufficient to asses and critique written work, and capable of providing guidance/instruction in this respect. Applicants may be asked to provide writing samples or other evidence of writing proficiency.
• Proficiency with common software packages including Word Processing (e.g. Word), Spreadsheets (e.g. Excel), Presentations (e.g. Powerpoint)

MSE 102 Applied Science, Technology and Society

• Proficiency in writing formal reports and papers and be capable of providing guidance/instruction in this respect
• Basic knowledge of common software packages including Word Processing (e.g. Word), Spreadsheets (e.g. Excel), Presentations (e.g. Powerpoint)
• Must have good working knowledge and practical experience in engineering design projects (either through courses or work experience)

MSE 103 Statics & Dynamics

• Background in Mechanical/Mechatronics/Engineering physics
• Good understanding of vectors and forces
• Must have taken a course in engineering statics
• TA experience in engineering statics is a bonus

MSE 112 Mechatronics Design Studio I

• Proficiency in programming for high level, e.g., using C, Cpp and Python language
• Good working experience in developing algorithms on microcontroller Raspberry Pi
• Must have a good working knowledge of engineering design in robotics
• Must have good knowledge of kinematics of manipulator systems

MSE 152 Digital Computing Fundamentals

• Experienced in version control systems (e.g., Git)
• Proficient in C and C++ programming languages.
  Experienced with build systems for multi-file projects (e.g. CMake and Makefiles)
• Strong understanding of data structures, memory management, and design patterns.
• Experienced in unit testing frameworks and debugging tools.

MSE 210 Engineering Measurement and Data Analysis

• A bachelor’s or master’s degree in engineering
• Completion of at least one course in engineering statistics at the undergraduate level, or equivalent
• Knowledge of engineering measurement and statistics, including sampling, probability, analysis, hypothesis testing, experimental design and statistical process control
• Demonstrated experience with software tools for statistical analysis (e.g., Excel, MATLAB, R)
• Demonstrated experience with collection and analysis of experimental data

MSE 211 Computation Methods for Engineers

• Good working knowledge of calculation software, Matlab in particular
• Good working knowledge of numerical analysis
• Background in both mechanical and electrical engineering

MSE 220 Engineering Materials

• Must have a good working knowledge of calculation software, Matlab in particular
• Proficiency in programming

MSE 221 Statics and Strength of Materials

• Must have equivalent courses in undergraduate studies
• Excellent analytical and programming skills
• Demonstrated experiences in the relevant field
• Must have a good working knowledge of calculation software, Matlab in particular (TrussBeam-2D.)

MSE 222 Kinematics and Dynamics of Rigid Bodies and Mechanisms

• Good working knowledge of rigid body dynamics and mechanics
• Must have a good working knowledge of calculation software, Matlab in particular
• Interest in applying new teaching methods and actively engaging students

MSE 223 Introduction to Fluids Mechanics

• Profiency in Fluids Mechanics.
• Practical experience in Experimentations.

MSE 224 Strength of Materials

• Must have taken formal courses on Strength of Materials from an accredited mechanical engineering program or equivalent.
• Demonstrated practical application of the course material in experimental research experience, industrial experiences, or other hands-on laboratory environments.
• Must have good working knowledge of Matlab, and one or more stress analysis tools such as TrussBeam-2D or commercial FEA packages.

MSE 250 Electric Circuits

• Only students with a background in Electrical/Electronics will be considered
• Familiarity with general safety in the circuit laboratory and comfortable with operating instruments such as oscilloscopes, function generators, power supply, etc.

MSE 251 Electronic Circuits

• Proficiency in electrical circuit theory
• Proficiency in electronic devices: diodes, BJTs, and FETs
• Must have taken at least one course at the undergrad level on electric circuits (specify on application form)
• Must have taken at least two courses at the undergrad level on electronic circuits (specify on application form)
• Good working knowledge of electronic test equipment (oscilloscope, multi-meter, etc)
  •
  Good working knowledge of circuit simulators, in particular SWCAD (aka LTSpice)
  •
  Practical experience in circuit design and prototyping is highly desired

MSE 280 Linear Systems

• Must have taken formal courses including at least some treatment of the following courses: Linear Systems/Algebra; and Analog and Digital Signal Processing
• Having taken an undergrad or grad course in Linear Systems and Signals is a requirement
• Proficiency in MATLAB programming is required

MSE 281 Modelling of Mechatronic Systems

• Must have taken formal courses, including at least the following courses: Differential Equations, Control Systems, Vibration, and Analog Circuits
• Formal training in Mechatronics
• Direct practical experience in vibration and circuit design to be able to work with sensors, oscilloscopes, etc., to conduct experiments on a mass spring damper and develop an analogous electric circuit.
• Proficiency in MATLAB programming and Simulink is required.

MSE 300 The Business of Engineering I

• Solid foundations in Engineering Economics
• Good working knowledge of common software packages including Spreadsheets (e.g. Excel), Word Processing (e.g. Word), Presentations (e.g. Powerpoint)
• Must be available to attend tutorial sessions on and as-needed basis

MSE 310 Electromechanical Sensors and Actuators

• Basic knowledge of electromechanical sensors and actuators is required
• Good working knowledge of LabVIEW is required
• Practical experience

MSE 311 Introduction to Microelectromechanical Systems

• Must have passed at least one course on microfabrication
• Must have passed a course on MEMS design
• Good knowledge of CoventorWare software is required
• Prior MEMS design experience is highly desired

MSE 312 Mechatronics Design II

• The candidate for the mechanical part of the course must have the following qualifications:
  -Taken undergraduate courses in mechanical design, strength of materials, statics and dynamics
  -Experience in applying finite element methods to mechanical loading, stresses and strains. Solidworks experience is an asset.
  -Comfortable working with hand tools and machine shop including soldering
  -Experience in TAing a project-based course is an asset
• The candidate for the electrical part of the course must have the following qualifications:
  -Experience in design, building, and troubleshooting electronic hardware (PWM circuits, soldering, etc)
  -Good working knowledge in Matlab/Simulink and Real-Time Workshop
  -Taken undergraduate courses in electronics, controls, and embedded systems
  -Experience working with SimScape
  -Experience in TAing a project-based course is an asset

MSE 320 Machine Design

• Must have equivalent courses in undergraduate studies
• Must have practical machine design experience
• Minimum one year of hands-on SOLIDWORKS experience, with proven record of proficiency in modeling assemblies and producing detailed engineering drawings.

MSE 321 Engineering Thermodynamics and Heat Transfer

• Must have at least one advanced heat transfer and thermodynamic course in graduate studies
• Must have experience in thermodynamic and heat transfer laboratories

MSE 352 Digital Logic & Microcontroller

• Must have one undergraduate course in digital logic/systems
• Must have one undergraduate course in microcontrollers or microprocessors
• Industrial experience in digital or embedded systems design is an asset
• Graduate courses in digital/embedded systems is a bonus
• Proven experimental skills in digital and embedded systems is a must (for the lab sessions)
• Papers in reputable journals or conferences (IEEE) is a bonus

MSE 353 Power Electronics and Electric Machinery

• Must have one undergraduate course in power electronics or industrial electronics
• Must have one undergraduate course in electric machines or electrical installations
• Industrial experience in power electronics design is an asset
• Graduate courses in electric machines or power electronics is a bonus
• Proven experimental skills in power electronics and machines is a must
• Proficiency in Matlab/Simulink is a must

MSE 380 Systems Modeling and Simulation

• Good working knowledge of Matlab is required
• Good understanding of modeling techniques including input/output, state-space, bond graphs, linearization and energy methods across multiple domains (mechanical, electrical, fluid and thermal), e.g. based on taking a previous course in systems modeling

MSE 381 Feedback Control Systems

• Grad and undergrad courses in controls is a bonus
• Must have good knowledge of Matlab and Simulink
• Having industrial or research related background in the area of control systems is an asset
• Being familiar with the lab set up is a bonus (e.g., ENSC 380 uses the same setup)

MSE 293/294/393/394/493/494

• Must begin on the first day of the term, no exceptions
• Good verbal and written communication skills
• Ideally will have taken formal course(s) in graduate level writing, e.g. MSE 802, or equivalent course.
• Duties include:
• Support Co-op Coordinators in the evaluation of Co-op students’ end of work term assignments (oral presentations, written technical reports, and executive summaries)
• Attend oral presentations (scheduled within the first month of the semester approximately 8-10 total hours of presentations in 2-hour sessions)
• Assist Co-op Coordinators in advising undergraduate students on how to write technical reports
• Respond to working Co-op students’ technical questions about their work term assignments
• Evaluate all technical reports and executive summaries from the students’ previous Co-op term in a timely manner
• Produce statistical reports and analysis on student reports and presentations
• Regularly meet with and/or report back to Co-op Coordinators with status updates or to discuss student cases or assignment completion

• Must have a high level of proficiency in writing academic papers and guidance / instruction in this respect
• Must have a good level of proficiency with common software packag Processing (e.g. Word), Spreadsheets (e.g. Excel), Presentations (e.g.
  
• Familiarity with Intellectual Property Law, patent applications would
• Knowledge of sustainable design principles would be an asset"
  

• Must have a high level of proficiency in writing formal reports / papers and be capable of providing guidance / instruction in this respect
• Ideally will have taken formal course(s) in graduate level writing, e.g. MSE 803, or equivalent course
• Must have good working knowledge and practical experience in engineering design projects (either through courses or work experience)

• Good verbal and written communication skills
• Knowledge and experience in Mechatronics Design

• Must have prior experience with medical technology instrumentation
• Advanced knowledge in signal processing
• Prior work experience within the area of neurotechnology will be ideal

• Knowledgeable in developing machine learning algorithms including regression, logistic regression, Support Vector Machine (SVM), neural networks, Deep Learning, K-mean
• Good working knowledge of MATLAB and Python
• Good working experience in developing algorithms on microcontrollers (Raspberry Pi)

• Must have good command of dynamics, mechanics and materials
• Must be highly proficient in Matlab
• Experience applying mechanical tools and theories to bio applications (courses or research)
• Available to invigilate midterm exams
• Able and willing to facilitate an interactive learning experience

• Must have taken formal courses including at least some treatment of courses in vibration, and modal analysis and modal testing
• Familiar with vibration lab equipment and testing

• Must have a good knowledge of fuel cells and have preferably taken a fuell cells course

• Must have passed MSE 426/726 or other formal optimization courses covering all of the following topics: mathematical programming; metaheuristics; and metamodel-based design optimization.
• Proficiency in Matlab programming.
• Familiar with Matlab Optimization and Global Optimization Toolboxes.
• Proficiency with OASIS software.
• Proficiency in Python programming is preferred.

• Well versed with ANSYS software (APDL and Workbench) with demonstrated skills and experience
• Taken the course before or have equivalent background in finite element analysis
• Proficiency in Matlab programming
• Proficiency in Solid Mechanics

• Must have passed courses on power electronics and electric machines
• Must be experienced with simulation in Matlab/Simulink (SimPowerSystems, Control)
• Good communication and problem solving skills

• Must have a good working knowledge of engineering design and calculation software, Matlab in particular (matrix algebra, structures, and graphical animation)
• Must have good knowledge of kinematics of manipulator systems (serial and parallel architectures)

• Familiar with embedded systems / computer architecture
• Familiar with microcontroller hardware and firmware design
• Good working knowledge and experience in programming using C and Assembly

• Must have passed courses on power electronics and electric machines
• Must be experienced with simulation in Matlab/Simulink (SimPowerSystems, Control)

• Must have solid foundations in hybrid microgrids such as microgrid energy conversion and distribution, bioenergy production and natural gas networks, thermal energy grids, etc.
• Must have taken formal courses including at least some treatment of courses in energy storage, electrical grids, control system, or district energy networks.
• Must be experienced with applications such as LTspice, Matlab, and Excel.

• Must have solid foundations in hybrid microgrids such as microgrid energy conversion and distribution, bioenergy production and natural gas networks, thermal energy grids, etc.
• Must have taken formal courses including at least some treatment of courses in energy storage, electrical grids, control system, or district energy networks.
• Must be experienced with applications such as LTspice, Matlab, and Excel.

• Must have prior experience with or have taken undergraduate courses in Control Systems.
• Experience in mapping and use of Geographic Information System (GIS) tools such as QGIS and ArcGIS is preferred.
• Familiarity with agricultural technology.
• Proficiency in Python is a bonus.

• Must have taken formal courses including at least some treatment of the following courses: Dynamics, Modelling/simulation, Automatic controls, Robotics
• Ideally will have taken formal course(s) including at least some treatment of the following topics: Manufacturing systems, Machining processes
• Must have a good working knowledge of engineering design and calculation software, LabVIEW and Matlab in particular
• Proficiency in programming for high level and (ideally) embedded systems, e.g. using languages such as C, C++, Python, Java, Forth, Assembly would be an asset

• Must have passed courses (undergraduate or graduate) on industrial control and PLC (Programmable Logic Controller)
• Practical experience in process industrial control would be useful

• Must have taken formal courses including at least some treatment of Linear State Space Control Systems
• Proficiency in Matlab/Simulink, Control System Toolbox, and multi-domain physical systems (SimScape: electronics, electric, multibody).

• Must have prior experience with 3D printing instrumentation.
• Advanced knowledge in CAD designing, signal processing, and optimization.
• Hands-on experience with using electrical measurement tools.
• Prior work experience within the area of sensors, design and manufacturing will be ideal.

• Strong background in control system (preferably in Kalman filtering)
• Strong Matlab and Simulink skills
• Background in Robust Control
• Background in Signal Processing

• Good working knowledge of Matlab/Simulink
• Good understanding of power electronics, electric drives, energy storage components, and electromechanical systems is required, e.g. based on taking previous courses in power electronics, electric machinery, and electric drives.

• Must have experience with fluid dynamics and have taken undergraduate courses in fluid dynamics
• Must have some experience or taken undergraduate courses on Control Systems
• Proficiency with Matlab is required
• Graduate or undergraduate courses in advanced fluid dynamics, ocean engineering or naval architecture are a bonus

• Must have extensive knowledge with 3-dimensional rigid body dynamics.
• Must have ample background in feedback control systems.
• Advanced knowledge in Matlab scripting & Simulink.
• Prior experience with aerodynamics and control of aircraft.

• Must have experience in analog and digital signal processing, digital filter design, and MATLAB programming.
• Good working knowledge in audio engineering, digital signal processing for power engineering, and embedded system design.

• Proficient in designing PLC control panels
• Adept in designing and implementing wiring solutions for PLC control panels, sensors, and actuators
• Expert in the design and operation of advanced electro-pneumatic systems
• Strong practical experience in programming industrial robots
• Proficient in writing ladder logic PLC programs for Siemens PLCs

• Proficient in writing PLC programs using SFC and SCL for Siemens PLC
• Experienced in configuring and programming Human Machine Interfaces (HMIs)
• Skilled in programming collaborative robots
• Capable of configuring artificial vision systems
• Strong practical experience in designing digital twins for automation systems using Siemens NX CAD and Tecnomatix software