May 05, 2024  
2023-2024 Undergraduate Calendar 
    
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2023-2024 Undergraduate Calendar

Course descriptions

Contact hours are divided into lecture, laboratory, tutorial, and other. Each contact hour may consist of a variety of instructional methods (i.e., in-class or online). Please refer to the registration section on MyOntarioTech for specific course offering information.

Not all courses are offered in any one term or academic year. 

Note: If searching by Code or Number be sure to include the U at the end of the number.
 
 

Mathematics
  

  • MATH 1010U – Calculus I

    Applications to science and engineering using differential calculus. Emphasis on limits, continuity, the derivative, Mean Value Theorem for derivatives and integrals, approximation by differentials, Fermat’s Theorem, differentiation and anti-differentiation, definite integrals, areas between curves, and the Fundamental Theorem of Calculus.
    Credit hours: 3
    Lecture hours: 3
    Tutorial hours: 1.5
    Prerequisite(s): Grade 12 Advanced Functions (MHF4U) and Grade 12 Calculus and Vectors (MCV4U)
    Credit restriction(s): BUSI 1900U, MATH 1000U  
  

  • MATH 1015U – Mathematics for Bioscience

    Mathematics is a key tool for the biological sciences. This course emphasizes the mathematical applications that are used in the biological sciences rather than theory. Students begin with a review of pre-calculus topics, to ensure the necessary mathematical skills to succeed in the course, and before they are introduced to limits and continuity. Topics will include quantities and units; tables, graphs and functions; waves and trigonometry; differentiation and integration.
    Credit hours: 3
    Lecture hours: 3
    Tutorial hours: 1.5
    Prerequisite(s): MHF4U
    Credit restriction(s): MATH 1880U 
  

  • MATH 1020U – Calculus II

    A continuation of Calculus I or Introductory Calculus emphasizing integral calculus: problem solving, calculations and applications. Applications to volumes, arc length, polar co-ordinates and functions of two or more variables. Multivariable calculus: partial derivatives, differential equations, Taylor and MacLauren series, double integrals.
    Credit hours: 3
    Lecture hours: 3
    Tutorial hours: 1.5
    Prerequisite(s): MATH 1000U  or MATH 1010U  
  

  • MATH 1850U – Linear Algebra for Engineers

    Develops the fundamental ideas of linear algebra and demonstrates their applications to other areas. Topics include the algebra of matrices; systems of linear equations; determinants and matrix inverses; real and complex vector spaces, linear independence, bases, dimension and co-ordinates; inner product spaces and the Gram-Schmidt process; least squares and regression; linear maps and matrices, change of basis and similar matrices; eigenvalues, eigenvectors and matrix diagonalization; quadratic forms.
    Credit hours: 3
    Lecture hours: 3
    Tutorial hours: 1.5
    Credit restriction(s): BUSI 1900U and MATH 2050U  
  

  • MATH 1880U – Mathematical Modelling for Health Science

    This course enables the student to gain an understanding of the use of mathematical modelling as a tool in the health sciences, and to be able to carry out such modelling at an elementary level. This will enable the student to better understand current and future developments in medical practice that are based upon the use of mathematical models. Topics and their applications will include: functions and graphs, sequences and series, differentiation and integration and basic statistics.
    Credit hours: 3
    Lecture hours: 3
    Tutorial hours: 1.5
    Credit restriction(s): MATH 1015U 
    Note(s): Not for credit in a Science or Engineering program.
  

  • MATH 2015U – Calculus III

    This course develops multivariable differential and integral calculus and vector calculus. Topics include: Cylinders and quadric surfaces; multivariate functions (scalar fields, limits, continuity, partial derivatives, chain rule); directional derivatives and gradients; curves and surfaces in Euclidean space; Taylor’s theorem in several variables; linear and quadratic approximations; multivariate optimization; iterated integrals over rectangular domains in 2 and 3 dimensions; spherical and cylindrical polar coordinate transformations; general coordinate transformations; iterated integrals over non-rectangular domains; vector fields; vector differential operators (gradient, divergence, curl); parametric curves and arc length; parametric surfaces and surface area; line integrals and surface integrals; Green’s theorem; Gauss’ theorem; Stokes’ theorem.
    Credit hours: 3
    Lecture hours: 3
    Tutorial hours: 1
    Prerequisite(s): MATH 1020U  and (MATH 1850U  or MATH 2050U ) 
    Credit restriction(s): MATH 2810U , MATH 2010U, MATH 2020U
  

  • MATH 2050U – Linear Algebra

    This course is designed to develop the fundamental ideas of linear algebra, and to demonstrate some applications of linear algebra to other areas. Topics include the algebra of matrices; qualitative and quantitative solutions of systems of linear equations; determinants and matrix inverses; real and complex vector spaces, and subspaces, linear independence, bases, dimension and co-ordinates; inner product spaces and the Gram-Schmidt process; inconsistent (over determined) systems of equations, least squares solutions and regression; linear maps and matrices, change of basis and similar matrices; eigenvalues, eigenvectors and matrix diagonalization; diagonalization of real symmetric matrices and quadratic forms.
    Credit hours: 3
    Lecture hours: 3
    Tutorial hours: 1.5
    Prerequisite(s) with concurrency: MATH 1000U  or MATH 1010U  
    Credit restriction(s): BUSI 1900U, MATH 1850U  
  

  • MATH 2055U – Advanced Linear Algebra and Applications

    The purpose of this course is to further the study of important topics in linear algebra with an emphasis on applications. The main theoretical topics include: Euclidean vector spaces, general vector spaces, inner product spaces, eigenvalues and eigenvectors, diagonalization, linear transformations and complex vector spaces. Possible additional topics and applications include least square fitting of data, LU-decompositions Markov chains, graph theory and cubic spline approximations. A goal of the course is to introduce students to proof techniques in Linear Algebra.
    Credit hours: 3
    Lecture hours: 3
    Tutorial hours: 1
    Prerequisite(s): MATH 1850U  or MATH 2050U  
  

  • MATH 2060U – Differential Equations

    A study of differential and difference equations that arise as models of phenomena in many branches of physical and biological sciences, in engineering, and in social science. Examples include Newtonian mechanics, chemical kinetics, and ecological system models. Students learn the basic properties of differential and difference equations, techniques for solving them, and a range of applications.
    Credit hours: 3
    Lecture hours: 3
    Prerequisite(s): MATH 1020U  and (MATH 1850U  or MATH 2050U )  
    Credit restriction(s): MATH 2860U  
  

  • MATH 2070U – Numerical Methods

    This course provides an overview of, and practical experience in, using algorithms for solving numerical problems arising in engineering. Topics include: solution of nonlinear equations in one variable, interpolation and data-fitting, numerical differentiation and integration, solution of differential equations, and elements of numerical linear algebra. Students will use computer software such as Maple or Matlab in the solution of numerical problems.
    Credit hours: 3
    Lecture hours: 3
    Tutorial hours: 1
    Prerequisite(s): MATH 1020U  and (MATH 1850U  or MATH 2050U ) 
    Credit restriction(s): MATH 2072U  
  

  • MATH 2072U – Computational Science I

    This course provides an overview of and practical experience in using algorithms for solving numerical problems arising in applied sciences. Topics include: computer arithmetic, solution of nonlinear equations in a single variable, interpolation and data-fitting, numerical differentiation and integration, solution of differential equations, and elements of numerical linear algebra. Students will use computer software such as Maple or Matlab in the solution of numerical problems.
    Credit hours: 3
    Lecture hours: 3
    Tutorial hours: 1
    Prerequisite(s): CSCI 2000U  and MATH 1020U  and (MATH 1850U  or MATH 2050U ) 
    Credit restriction(s): CSCI 2072U  and MATH 2070U    
    Cross-listed: CSCI 2072U 
  

  • MATH 2080U – Discrete Mathematics

    This is an elementary introduction to discrete mathematics. Topics covered include first-order logic, set theory, fundamental techniques of mathematical proof, relations, functions, induction and recursion, combinatorics, discrete probability, finite-state machines, and graph theory.
    Credit hours: 3
    Lecture hours: 3
    Tutorial hours: 1
    Prerequisite(s): Students must have completed 24 credit hours in their area of specialization and be in clear standing.
    Credit restriction(s): CSCI 1010U, CSCI 2110U , ELEE 2110U , ENGR 2110U
    Cross-listed: CSCI 2110U  
  

  • MATH 2810U – Advanced Engineering Mathematics

    This course extends the study of calculus and differential equations, including multiple integration: integral theorems, polar co-ordinates and changes of variables; differential and integral calculus of vector valued functions of a vector variable: vector algebra, line and surface integrals, Green’s, Gauss’ and Stokes’ theorems; and introduction to partial differential equations: Heat equation, Laplace’s equation, wave equation.
    Credit hours: 3
    Lecture hours: 3
    Tutorial hours: 1
    Prerequisite(s): MATH 1020U  
    Credit restriction(s): MATH 2015U , MATH 2020U
  

  • MATH 2860U – Differential Equations for Engineers

    A study of differential equations that arise as models of phenomena in engineering. Topics include: first order equations; linear equations; second-order equations and their applications; systems of linear equations; series solutions; Laplace transforms; introduction to partial differential equations.
    Credit hours: 3
    Lecture hours: 3
    Tutorial hours: 1
    Prerequisite(s): MATH 1020U  
    Corequisite(s): MATH 1850U  or MATH 2050U  
    Credit restriction(s): MATH 2060U  
  

  • MATH 3010U – Modern Applications in Mathematics

    This course introduces various advanced topics that will enable the students to broaden their mathematical background and allow them to explore areas in which they have particular interest. Course topics will be chosen according to the needs and demands of students and the availability of the instructors; the list below is not exhaustive. Additional prerequisites may be assigned depending on the topics being covered.
    Potential Topics: Times Series AnalysisGame Theory, Mathematics of Image Processing, Financial Mathematics
    Credit hours: 3
    Lecture hours: 3
    Laboratory hours: 0
    Tutorial hours: 0
    Other hours: 0
    Prerequisite(s): MATH 1020U , MATH 2050U  or MATH 1850U . Additional prerequisites may be assigned depending on the topics being covered.
  

  • MATH 3020U – Real Analysis

    This course provides the foundation for real analysis, and prepares students for other branches of mathematics, mathematical statistics and quantum mechanics. Students study the construction of real and complex number systems; partial and total order relations; countable and uncountable sets; mathematical induction and other techniques of proof; numerical sequences and series; absolute and conditional convergence; basic topological notions in a metric space; continuous functions; continuity and compactness; continuity and connectedness; uniform continuity; sequences and series of functions; uniform convergence; the Riemann-Stieltjes integral; rectifiable curves; fixed points and the contraction principle; introduction to one-dimensional discrete dynamical systems.
    Credit hours: 3
    Lecture hours: 3
    Prerequisite(s): (MATH 2020U or MATH 2055U ) and (MATH 2080U  or CSCI 1010U or CSCI 2110U  or ELEE 2110U  or ENGR 2110U) 
  

  • MATH 3030U – Introduction to Probability Theory

    This course provides an elementary introduction to the mathematical theory of probability using a problem-solving approach and its role in applied mathematics. Introduction to probability spaces, combinatorial analysis, inclusion-exclusion, conditional probability, independence, random variables, expectation, discrete and continuous distributions, and limit theorems. Additional topics may include: Markov chains, simulation techniques, coding theory and entropy.
    Credit hours: 3
    Lecture hours: 3
    Prerequisite(s): (MATH 1850U  or MATH 2050U ) and (STAT 2010U  or STAT 2020U  or STAT 2800U ) 
  

  • MATH 3035U – Mathematics of Machine Learning

    This course surveys the mathematics required for Machine Learning. The course will introduce a number of Machine Learning techniques and discuss the mathematical principles that are necessary for the understanding and efficient implementation of the techniques. Topics may include: Linear Regression, Logistic Regression, Principle Component Analysis, Neural Networks, matrix factorization, singular value decomposition, leastsquares, maximum likelihood estimation, continuous and numerical optimization, gradient descent, back propagation and computation with large matrices.
    Credit hours: 3
    Lecture hours: 3
    Laboratory hours: 0
    Tutorial hours: 0
    Other hours: 0
    Prerequisite(s): (MATH 2050U  and MATH 2072U ) or (CSCI 2072U  and STAT 2010U )
    Recommended: MATH 2015U  
  

  • MATH 3040U – Optimization

    This course introduces linear and nonlinear optimization problems and offers the concepts and techniques required for their solution. Students study: linear programming (simplex method, duality, integer programming), nonlinear programming (Lagrange multipliers, KKT optimality conditions), approximation techniques (line search methods, gradient methods, conjugate gradient methods), variational problems (Euler-Lagrange equation), dynamic programming, and optimal control.
    Credit hours: 3
    Lecture hours: 3
    Prerequisite(s): MATH 2010U or MATH 2015U  
  

  • MATH 3050U – Mathematical Modelling

    This course provides an overview of the mathematical modelling of discrete, continuous and stochastic systems. Problems arising in physics, chemistry, biology, industry, economics, and social science serve as examples to demonstrate model development, implementation, solution and analysis. Methods of solution and physical interpretation of results are stressed. Computer software such as Maple and Matlab will be used to facilitate the modelling process.
    Credit hours: 3
    Lecture hours: 3
    Prerequisite(s): (MATH 2060U  or MATH 2860U ) and (STAT 2010U  or STAT 2020U  or STAT 2800U ) 
  

  • MATH 3060U – Complex Analysis

    Introduces some classical theorems and applications of complex analysis. Students study basic properties of complex numbers; the Cauchy-Riemann equations; analytic and harmonic functions; complex exponential and logarithmic functions; branches of multi-valued functions; contour integrals; the Cauchy-Goursat Theorem and the Cauchy Integral Formula; the maximum modulus principle; Taylor and Laurant series; the residue theorem.
    Credit hours: 3
    Lecture hours: 3
    Prerequisite(s): MATH 2010U or MATH 2015U  
    Credit restriction(s):  ELEE 2530U  or ENGR 2530U
  

  • MATH 3070U – Algebraic Structures

    This introductory course in algebraic structures is designed for students in the mathematical sciences as well as physics and chemistry. Students study groups, symmetric groups, subgroups, equivalence relations; normal subgroups, factor groups, mappings and inverse mappings; the Fundamental Homomorphism Theorem; rings, sub rings, ideals, quotient rings, polynomial rings, the Euclidean algorithm, the Fundamental Ring Homomorphism Theorem, finite fields, applications of groups, rings, and fields.
    Credit hours: 3
    Lecture hours: 3
    Prerequisite(s): (MATH 1850U  or MATH 2050U ) and (MATH 2080U  or CSCI 1010U or CSCI 2110U  or ELEE 2110U  or ENGR 2110U)
  

  • MATH 3080U – Applied Partial Differential Equations

    Application of ordinary and partial differential equations to physical problems, including boundary and initial value problems associated with heat, wave and Laplace equations. This course will include Fourier analysis, expansions in Bessel and Legendre functions, and an introduction to complex analysis. Problems will be solved with computers, using both algebraic and numerical methods.
    Credit hours: 3
    Lecture hours: 3
    Laboratory hours: 0
    Tutorial hours: 0
    Other hours: 0
    Prerequisite(s): MATH 2060U  or MATH 2860U  
    Cross-listed: PHY 3040U  
  

  • MATH 3090U – Network Science and Applications

    This course is an introduction to the field of network science with an emphasis on the mathematical aspects and properties of networks. Topics include graph theory, random networks, the scale-free property, complex network models, network robustness, community detection, and spreading phenomena, while also considering applications of network science in fields such as biology, chemistry, economics, sociology, computer science, and physics.
    Credit hours: 3
    Lecture hours: 3
    Laboratory hours: 0
    Tutorial hours: 0
    Other hours: 0
    Prerequisite(s): MATH 2080U  or CSCI 2110U  
    Recommended: MATH 2050U  
  

  • MATH 4010U – Dynamical Systems and Chaos

    The modern theory of differential equations studies the behaviour of solutions of nonlinear differential equations. In particular, the notion of dynamical system is crucial to the development of the theory and leads to the analysis of chaotic solutions. The course will provide the student with a rigorous treatment of the qualitative theory of ordinary differential equations, and an introduction to the modern theory of dynamical systems and to elementary bifurcation theory.
    Credit hours: 3
    Lecture hours: 3
    Prerequisite(s): MATH 3050U  
  

  • MATH 4020U – Computational Science II

    This course provides a variety of results and algorithms from a theoretical point of view. Students study numerical differentiation and integration; interpolation and approximation of functions; quadrature methods; numerical solution of ordinary differential equations; the algebraic eigenvalue problem. Computer software such as Maple and MatLab will be used in assignments.
    Credit hours: 3
    Lecture hours: 3
    Prerequisite(s): MATH 2070U  or MATH 2072U  or CSCI 2072U  
  

  • MATH 4041U – Topics in Applied Mathematics I

    This course covers various advanced topics that will enable the students to broaden their mathematical background and allow them to explore areas in which they have particular interest. Course topics will be chosen according to the needs and demands of students and the availability of the instructors. Additional prerequisites may be assigned depending on the topics being covered.
    Credit hours: 3
    Lecture hours: 3
    Prerequisite(s): Minimum fourth-year standing.
  

  • MATH 4042U – Topics in Applied Mathematics II

    This course covers various advanced topics that will enable the students to broaden their mathematical background and allow them to explore areas in which they have particular interest. Course topics will be chosen according to the needs and demands of students and the availability of the instructors. Additional prerequisites may be assigned depending on the topics being covered.
    Credit hours: 3
    Lecture hours: 3
    Prerequisite(s): Minimum fourth-year standing.
  

  • MATH 4050U – Partial Differential Equations

    This course considers advanced aspects of the theory, solution and physical interpretation of first and second order partial differential equations in up to four independent variables. This includes the classification of types of equations and the theory and examples of associated boundary-value problems. The concepts of maximum principles and Green’s functions are studied, as well as an introduction to nonlinear equations. A broad range of applications are considered.
    Credit hours: 3
    Lecture hours: 3
    Prerequisite(s): MATH 3020U  and MATH 3050U  and PHY 3040U  
  

  • MATH 4060U – Industrial Mathematics

    A case studies approach is taken to the mathematical modelling of industrial problems and other physical problems that are relevant for industrial applications. Potential topics include: lubrication theory and slow viscous flow phenomena, elasticity, plasticity, crack propagation, chemical reactors and chemical kinetics, heat transfer, materials science modelling, stability theory and vibrations of machinery, semiconductor device modelling, electromagnetic and inverse problems, optimal design. For each topic covered, the modelling process of a specific example is followed from problem formulation to solution. Discrete, continuous, deterministic and stochastic models are used, as is a variety of solution techniques, both analytical and numerical. Both theoretical and practical issues will be considered.
    Credit hours: 3
    Lecture hours: 3
    Prerequisite(s): MATH 3050U  
  

  • MATH 4070U – Projects in Applied Mathematics

    Students will work on projects that are inspired by industry or research problems and that require advanced Applied Mathematics principles. They will work in self-directed groups, in a setting that mimics a workplace environment. Students must submit a written report and make a presentation based on each project.
    Credit hours: 3
    Lecture hours: 0
    Laboratory hours: 0
    Tutorial hours: 0
    Other hours: 9
    Prerequisite(s): Fourth-year standing in the Mathematics for Science and Industry program
    Experiential learning: Yes
  

  • MATH 4410U – Mathematics Thesis Project I

    The thesis project provides students with the opportunity, under the supervision of a faculty member, to integrate and synthesize knowledge gained throughout their program of study and to satisfy specific objectives and requirements. The project will be selected to include research that has been approved by the supervising faculty member. Students will submit a progress report at the end of the first semester. Once all work is completed, each student must submit a thesis and make a presentation based on their research in the following semester.
    Credit hours: 3
    Other hours: 9
    Prerequisite(s): Students will have completed 90 credit hours in their area of specialization and be in clear standing. Students must also obtain prior consent of a faculty member.
    Note(s): Students are expected to take MATH 4420U  in the following semester.
    Experiential learning: Yes
  

  • MATH 4420U – Mathematics Thesis Project II

    A continuation of the project started in MATH 4410U . Students will make presentations based on their research and submit a written thesis.
    Credit hours: 3
    Other hours: 9
    Prerequisite(s): MATH 4410U  
    Note(s): Students are expected to take this course immediately after MATH 4410U .
    Experiential learning: Yes
  

  • MATH 4430U – Directed Studies in Mathematics

    This course requires independent research of a current topic in a specialized area of mathematics. The topic will be selected from recent research literature and involve a review and critical appraisal of underlying experimental principles. The course comprises independent library research, participation in weekly meetings, and written and oral presentations.
    Credit hours: 3
    Lecture hours: 1
    Other hours: 2
    Prerequisite(s): Students must have completed 90 credits in the Applied and Industrial Mathematics program and must be in clear standing. Students must also obtain prior consent of a faculty member.
    Experiential learning: Yes

Mechanical Engineering
  

  • MECE 2230U – Statics

    This course provides fundamental engineering knowledge of static systems, bodies at rest, force and moment equilibrium of rigid bodies, and mechanics of materials and deformable bodies. Course topics include: forces; moments of forces; couples; resultant and equilibrium of force systems; distributed loads; equilibrium of particles and rigid bodies; analysis of structures including beams, structural analyses including trusses, frames and machines; mechanical joints, the concept of internal forces, shear and moment forces and diagrams, relations between distributed load, shear and moments; friction forces on mechanical components, centroid, moment of inertia, parallel axis theory, Mohr’s circle for moment of inertia, concept of virtual work.
    Credit hours: 3
    Lecture hours: 3
    Tutorial hours: 1
    Prerequisite(s): PHY 1010U  and MATH 1020U  
  

  • MECE 2310U – Concurrent Engineering and Design

    This course covers the modern integrated product development process. Unlike the traditional product development approach, concurrent (simultaneous) engineering and design reunites technical and nontechnical disciplines and brings forward a philosophy of cross-functional cooperation in order to create products which meet pre-determined objectives, and are better, less expensive, and more quickly brought to market. It is a process in which appropriate disciplines are committed to work interactively to analyze market and customer requirements in order to improve the end-to-end process by which products are conceived, designed, manufactured, assembled, sold to the customer, serviced, and finally disposed of. The concept of design is presented. Brainstorming, creativity methods, design for manufacturing, design for assembly, design for cost, and design for quality, life cycle design, reverse engineering, and rapid prototyping are addressed. Teamwork and communication skills are developed.
    Credit hours: 3
    Lecture hours: 3
    Laboratory hours: 2
    Prerequisite(s): ENGR 1025U  or ESNS 1200U  
  

  • MECE 2320U – Thermodynamics

    Introductory concepts and definitions; energy, work and heat; the nature of thermodynamics; the First Law of Thermodynamics; the Second Law of Thermodynamics; control mass and control volume analyses; properties and behaviour of pure substances; ideal gases and mixtures; equation of state for a perfect gas; irreversible and reversible processes; the Carnot cycle; entropy; Clausius inequality; entropy change in open and closed systems; isentropic processes; introduction to exergy; power and refrigeration cycles.
    Credit hours: 3
    Lecture hours: 3
    Tutorial hours: 1
    Prerequisite(s): PHY 1010U  
    Credit restriction(s): NUCL 2010U  
  

  • MECE 2420U – Solid Mechanics I

    This course provides the fundamental engineering knowledge of mechanics of solids including axial loading, plane stress and strain; tension and compression, elastic deformation and Hooke’s law, Poisson’s ratio, principle of superposition, thermal stress, torsion of circular shafts, pure bending, transverse shear, shear stress in beams and thin-walled members, combined loading, stress and strain transformations; Mohr’s circle.
    Credit hours: 3
    Lecture hours: 3
    Laboratory hours: 2 (biweekly)
    Tutorial hours: 1
    Prerequisite(s): MECE 2230U  
  

  • MECE 2430U – Dynamics

    This course provides fundamental engineering knowledge of time varying systems. It also examines the kinematics and kinetics of particles and rigid bodies. Course topics include: kinematics of particles; rectilinear and curvilinear motions; Cartesian, normal-tangential, polar and cylindrical components of velocity and acceleration in two and three dimensions; planar kinematics of rigid bodies; general plane motion; rotating frames; kinetics of particles; kinetics of systems of particles; planar kinetics of rigid bodies; force and acceleration; friction; work and energy; conservative and non-conservative systems; impulse and momentum; introduction to three-dimensional kinematics of a rigid body.
    Credit hours: 3
    Lecture hours: 3
    Tutorial hours: 1
    Prerequisite(s): MECE 2230U  and MATH 1850U  
  

  • MECE 2640U – Thermodynamic and Heat Transfer

    Nature of thermodynamics, First Law of Thermodynamics, Second Law of Thermodynamics. Control mass and control volume analyses. Properties and behaviour of pure substances. Ideal gases and mixtures; equation of state for a perfect gas. Introduction to conduction, convection and radiation. Solutions to steady-state and transient conduction problems. Free and forced convection for laminar and turbulent flows. Thermal radiation between black bodies. Introduction to heat exchangers.
    Credit hours: 3
    Lecture hours: 3
    Laboratory hours: 2 (biweekly)
    Tutorial hours: 1
    Prerequisite(s): MATH 1020U  and PHY 1010U  
  

  • MECE 2860U – Fluid Mechanics

    Fundamentals of fluid mechanics, including: properties of fluids and their units; fluid static. Kinematics of fluids, conservation of mass and the continuity equation. Dynamics of fluids; Euler equation; Bernoulli equation. The energy equation; energy grade lines. Flow of viscous fluids; laminar and turbulent flows; flow in pipes and fittings; the Moody diagram. Flows around immersed bodies; lift and drag on bodies. Boundary layers; flow separation. Flow measurement techniques.
    Credit hours: 3
    Lecture hours: 3
    Laboratory hours: 2 (biweekly)
    Tutorial hours: 1
    Prerequisite(s): MATH 1020U  and PHY 1010U  
    Credit restriction(s): NUCL 2860U  
  

  • MECE 3030U – Computer-Aided Design

    Geometric/solid modelling, computer graphics and feature modelling. Introduction to design refinement with finite element analysis tools. State-of-the-art software packages will be introduced and case studies with applications in different engineering fields will be employed.
    Credit hours: 3
    Lecture hours: 3
    Laboratory hours: 2
    Prerequisite(s): MECE 2310U  and MECE 2420U  
  

  • MECE 3210U – Mechanical Vibrations

    Fundamental concepts of vibrations of mechanical systems; free vibrations of single degree of freedom systems; various types of damping and vibration absorption; forced vibrations; vibration measuring instruments; steady state and transient vibrations; vibrations of multi-degree of freedom systems; vibration isolation; modal analysis; vibrations of continuous systems; introduction to non-linear vibrations, including nonlinear springs and non-linear damping.
    Credit hours: 3
    Lecture hours: 3
    Laboratory hours: 2 (biweekly)
    Tutorial hours: 1
    Prerequisite(s): ENGR 2020U or MECE 2430U  
    Experiential learning: Yes
  

  • MECE 3220U – Machine Design

    The essentials for mechanical engineering machine design are taught. This includes application of appropriate safety factors, failure criteria, failure analysis with application to components under static and fatigue loading conditions, along with material selection criteria. The analysis of machine elements such as shafts, fasteners and nonpermanent joints, and welds are covered. Machine elements such as springs, bearings and gears are analyzed and sized for proper application.
    Credit hours: 3
    Lecture hours: 3
    Tutorial hours: 2
    Prerequisite(s): MECE 2310U  and MECE 3270U  and MECE 2420U  
  

  • MECE 3230U – Thermodynamic Applications

    Thermodynamic cycles are covered, including: the Carnot cycle, gas power cycles, vapour power cycles, combined power cycles, and refrigeration cycles. Analysis of complex cycles that include reheating, intercooling, regeneration, jet-propulsion, and cogeneration. Design considerations related to the application of the thermodynamic cycles including: heat engines, refrigeration systems, and power plants. Fundamentals of combustion including an overview of fuels, ignition, chemical reactions, and flame temperature. First and second law analysis of combustion reactions. Applications of combustion including engines and furnaces. An introduction to fuel cells, electrolyzers, batteries, and capacitors.
    Credit hours: 3
    Lecture hours: 3
    Laboratory hours: 2 (biweekly)
    Tutorial hours: 1
    Prerequisite(s): MECE 2320U  or MECE 2640U  or NUCL 2010U  
  

  • MECE 3260U – Introduction to Energy Systems

    Energy systems, resources and use; energy classifications and terminology; energy sources and currencies; energy supply and demand; energy conversion and utilization technologies; energy storage and distribution; energy use in countries and sectors of economies; energy intensity; global energy flows and utilization patterns; principal fuels; fuel science and technology: origins of fuels, classifications and physical and chemical properties of fuels, fuel handling and fire hazards, non-conventional fuels; sustainability, sustainable development and energy; clean energy systems. Environmental impact of energy systems such as power generation, industrial processes and transportation; air, soil and water pollution and their effects on the environment; generation mechanisms of chemical pollutants, photochemical pollutants and smog. Introduction to renewable energy resources (solar, wind, geothermal, biomass), photovoltaics, microturbines. Introduction to energy storage systems. Introduction to hydrogen and fuel cells. Introduction to life cycle assessment, industrial ecology, and key environmental tools. Application of energy and exergy analysis to energy systems.
    Credit hours: 3
    Lecture hours: 3
    Prerequisite(s): (NUCL 2010U  or MECE 2320U  or MECE 2640U ) and (ENVS 1000U  or ENGR 1015U ) 
  

  • MECE 3270U – Kinematics and Dynamics of Machines

    Classification of mechanisms; velocity, acceleration and force analyses; graphical and computer-oriented methods of analyses; balancing, flywheels, gears, gear trains, and cams. Introduction to Lagrangian dynamics; Lagrange’s equations of motion; Hamilton’s equations, and Hamilton’s principle.
    Credit hours: 3
    Lecture hours: 3
    Laboratory hours: 2 (biweekly)
    Tutorial hours: 1
    Prerequisite(s): ENGR 2020U or MECE 2430U  
  

  • MECE 3320U – Fluid Power Systems

    The course reviews relevant fluid mechanics principles and proceeds with treatments of individual components. Components analyzed include: pumps, actuators, lines, valves and other related components. Discussions of individual components include: principles of operation, mathematical models, and design considerations. Analysis and design of fluid power systems used in industrial and processing equipment. Selected topics to include: positive displacement components, control devices, actuators, fluid transmission and system dynamics.
    Credit hours: 3
    Lecture hours: 3
    Laboratory hours: 2 (biweekly)
    Prerequisite(s): MECE 2860U  and MECE 3350U  
  

  • MECE 3350U – Control Systems

    Analysis and synthesis of linear feedback systems by classical and state space techniques. Nonlinear and optimal control systems. Modelling of dynamic systems; analysis of stability, transient and steady state characteristics of dynamic systems; characteristics of feedback systems; design of PID control laws using frequency response methods and the root locus technique. Introduction to nonlinear and optimal control systems.
    Credit hours: 3
    Lecture hours: 3
    Laboratory hours: 2 (biweekly)
    Tutorial hours: 1
    Prerequisite(s): (ELEE 2790U  or ELEE 2210U  or ENGR 2210U or METE 2010U ) and MATH 2860U  and MECE 2430U  
  

  • MECE 3390U – Mechatronics

    This course provides students with the tools required to design, model, analyze and control mechatronic systems; i.e. smart systems comprising electronic, mechanical, fluid and thermal components. The techniques for modelling various system components will be studied in a unified approach developing tools for the simulation of the performance of these systems. Analysis will also be made of the various components needed to design and control mechatronic systems including sensing, actuating, and I/O interfacing components.
    Credit hours: 3
    Lecture hours: 3
    Laboratory hours: 2
    Tutorial hours: 1
    Prerequisite(s): MECE 3270U  and MECE 3350U    
  

  • MECE 3410U – Electro-Mechanical Energy Conversion

    This course provides an understanding of the principles of electromechanical energy conversion and introduces some common devices employed in the process. Specific topics covered include the principles of electromechanical energy conversion; ferromagnetic materials and their properties; basic operating concepts and steady state models for transformers, dc machines, and ac machines; electromechanical test and measurement procedures; characteristics and behaviour of machines.
    Credit hours: 3
    Lecture hours: 3
    Laboratory hours: 2 (biweekly)
    Tutorial hours: 1
    Prerequisite(s): ELEE 2790U  and MECE 2320U  or MECE 2640U  or NUCL 2010U
  

  • MECE 3420U – Solid Mechanics II

    This course provides a progressive step in the engineering knowledge of solid mechanics. The topics include a review of stress and strain transformation, application of different failure analysis criteria, analysis of beams and shafts and computing deflections, statically indeterminate beams and shafts, buckling of columns, deflection assessment of beams under various types of loading using virtual work theorem and Castigliano’s method.
    Credit hours: 3
    Lecture hours: 3
    Tutorial hours: 1
    Prerequisite(s): MECE 2420U  
  

  • MECE 3930U – Heat Transfer

    Introduction to conduction, convection and radiation. Solutions to steady-state and transient conduction problems. Heat conduction across contact surfaces and cylindrical walls. Heat generation in conduction. Solutions to convection problems for laminar and for turbulent flows. Forced and natural convection. Boiling and condensing heat transfer. Two phase flow in a channel. Critical heat flux. Heat exchangers, and heat exchanger effectiveness and operational characteristics.
    Credit hours: 3
    Lecture hours: 3
    Laboratory hours: 2 (biweekly)
    Tutorial hours: 1
    Prerequisite(s): NUCL 2010U  or MECE 2320U  or MECE 2640U  
    Credit restriction(s): NUCL 3930U  
  

  • MECE 4000U – Special Topics in Mechanical Engineering

    Contemporary topics at the advanced undergraduate level. Faculty presents advanced elective topics not included in the established curriculum.
    Credit hours: 3
    Lecture hours: 3
    Prerequisite(s): Permission of the Instructor
  

  • MECE 4151U – Solar Energy

    Solar radiation measurements and predictions. Radiative heat transfer aspects. Classification of solar energy options. Solar thermal applications, including heating, cooling, air conditioning, electricity and fresh water production. Solar collectors and absorbing materials and their spectral characteristics. Concentrated solar panels. Solar electrical applications. Basics, materials and operational details on photovoltaics/solar cells. Solar energy conversion systems for various applications. Energy storage systems, including latent (phase change materials, molten salts) and sensible (hot water, compressed air, rock bed, etc.) options. Integrated solar energy systems for more useful outputs. Solar fuels. Thermodynamic analysis and performance assessments through energy and exergy approaches.
    Credit hours: 3
    Lecture hours: 3
    Laboratory hours: 2 (biweekly)
    Prerequisite(s): MECE 3930U  and MECE 3260U  
    Cross-listed: ENEE 4161U  
  

  • MECE 4153U – Wind and Hydro Energy

    Turbomachinery fundamentals and analysis, including: angular momentum, pumps, fans, blowers, hydraulic turbines, propellers, and wind turbines. Wind characteristics, location, and wind farm design considerations. Aerodynamics of wind turbines and blade shape. Analysis of horizontal and vertical axis wind turbines. Wind turbine materials, components, and design. Design of dams and reservoirs, and use of rivers and tidal flows. Storage systems including pumped storage. Electrical aspects of wind and hydro energy generation systems. Integration, applications, and environmental impact of wind and hydro energy systems. Implementation of course principles in a design and construction project.
    Credit hours: 3
    Lecture hours: 3
    Tutorial hours: 1
    Prerequisite(s): MECE 2860U  and MECE 3410U  and MECE 3260U  
    Cross-listed: ENEE 4163U  
  

  • MECE 4210U – Advanced Solid Mechanics and Stress Analysis

    Three-dimensional stress and strain analysis; strain energy methods for deflection; asymmetric and curved beams; bending, torsion and shear centers; beams on elastic foundations; thick cylinders; buckling and elastic stability; flat plates.
    Credit hours: 3
    Lecture hours: 3
    Laboratory hours: 2 (biweekly)
    Tutorial hours: 1
    Prerequisite(s): MECE 3420U  
  

  • MECE 4250U – Advanced Materials Engineering

    Methodology of materials selection; evaluation of property data; materials testing; tensile properties, hardness, impact properties, fatigue, creep; failure and modes of fracture; interrelationships of structure, properties and processing; structural modifications in metals, ceramics and composite materials; strengthening mechanisms; heat treatment; processing and applications of engineering materials; introduction to electron microscopy, x-ray diffraction, and mass spectrometry.
    Credit hours: 3
    Lecture hours: 3
    Tutorial hours: 1
    Prerequisite(s): MANE 2220U  and MECE 2420U   
  

  • MECE 4290U – Finite Element Methods

    This course covers the theoretical and computational principles of the finite element method, including geometrical modelling, materials modelling, and discrete element formulation of flexible structures (bars, beams, frames, plates and shells). An introduction to nonlinear finite element analysis, modelling, errors and accuracy, and assembly of global matrices will be addressed. Students will have the opportunity to utilize commercially available software to solve various engineering problems. They will obtain experience with mesh generation, material property specifications, load applications, boundary condition applications, solution methods and interpretation of results. Applications will include 2-D and 3-D stress analysis and steady-state thermo-fluid applications.
    Credit hours: 3
    Lecture hours: 3
    Tutorial hours: 2
    Prerequisite(s): MATH 2070U  and MECE 2310U  and MECE 2420U  
  

  • MECE 4320U – Advanced Mechatronics

    The focus of this course is to provide the tools required to design, model, analyze and control mechatronics systems. Modelling of various system components into a unified approach and tools for the simulation of the performance of these systems; characteristics of typical mechatronics systems in terms of their impacts on enhancement of performance, speed of operation, and physical size; applications of mechatronics to robotics and automation industry, and other intelligent systems.
    Credit hours: 3
    Lecture hours: 3
    Laboratory hours: 3
    Prerequisite(s): ELEE 3330U  and MECE 3390U  and ELEE 4350U  
  

  • MECE 4410U – Fossil Fuel Energy Conversion

    Electrical systems loads, peaks, reliability. Types of fossil fuelled power plants. Complex Rankine and Brayton cycles. Combined-cycle power plants. Cogeneration and trigeneration. Efficiencies, irreversibilities and losses. Steam supply systems: coal firing systems; steam generator types; steam plant efficiencies; heat transfer and thermal transport in fossil fuel fired steam generators. Steam turbines: impulse and reaction blading; mechanical design of turbine components and operational considerations; efficiencies. Gas turbines: gas path design; heat balance and efficiency determination; performance analysis of actual power plant turbines; design aspects. Fans, centrifugal and axial-flow compressors, and their design. Auxiliary power plant equipment: heat exchangers, fuel preparation, water treatment, cooling equipment.
    Credit hours: 3
    Lecture hours: 3
    Laboratory hours: 2 (biweekly)
    Tutorial hours: 1
    Prerequisite(s): MECE 3260U  
  

  • MECE 4430U – Sustainable and Alternative Energy Technologies

    Descriptions of systems and design issues and parameters, including performance, operating characteristics, reliability. Small-scale hydraulic energy. Tidal and wave energy. Solar energy systems, including photovoltaics and thermal systems. Wind energy systems. Biomass energy. District energy. Hydrogen energy systems, including production, storage, transport and utilization technologies. Fuel cells: fundamentals such as fuel cell thermodynamics, electrode kinetics; and types, including proton exchange membrane and solid oxide fuel cells. Energy storage, including thermal, compressed air and battery storage. Geothermal energy systems. Magnetohydrodynamics, thermoetrics, thermionics. Future directions.
    Credit hours: 3
    Lecture hours: 3
    Laboratory hours: 2 (biweekly)
    Prerequisite(s): MECE 4240U  
  

  • MECE 4450U – Thermal Environmental Engineering

    Heating, ventilating, air conditioning and refrigeration. Psychrometrics and psychrometric processes. Sensible heating and cooling, cooling and dehumidification, mixing and humidification. Ventilation and room air distribution. Human comfort. Indoor air quality. Refrigeration and refrigeration systems. Design of air conditioning and heating systems. Equipment selection. Duct and fan design. Pump and piping design. Energy management in buildings.
    Credit hours: 3
    Lecture hours: 3
    Laboratory hours: 2 (biweekly)
    Tutorial hours: 1
    Prerequisite(s): MECE 3230U  

Mechatronics Engineering
  

  • METE 2010U – Circuits and Electronics

    The course introduces the fundamental behavior of major circuit elements including resistors, independent and dependent sources, nonlinear resistors and diode, switches and MOS transistors, operational amplifiers and energy storage elements. The topics covered includes resistive circuit analysis, equivalent-circuit theorems, dynamics of first- and second-order networks, alternating currents and resistive circuits, basic concepts of signal and systems, operational amplifiers and applications, p-n junction, diode and applications and MOSFET amplifiers.
    Credit hours: 3
    Lecture hours: 3
    Laboratory hours: 2 (bi-weekly)
    Tutorial hours: 1.5
    Prerequisite(s): MATH 1020U  and PHY 1020U  and MATH 1850U 
    Prerequisite(s) with concurrency: MATH 2860U 
  

  • METE 2020U – Circuit Design for Mechatronics

    This course presents analysis of complex circuits and application of circuit principles to design circuits for mechatronics engineering systems. Topics include mechatronics design applications of circuit principles; AC steady-state analysis, AC power, transformer, three-phase circuits, DC/AC machines, two port networks, the Laplace transform, Fourier series and Fourier transform, frequency response analysis, passive and active filter design (low- and high-pass filters, bandpass and band-reject filters); design in the time and frequency domains, Interface circuits for mechanical systems, sensors, and instrumentation.
    Credit hours: 3
    Lecture hours: 3
    Laboratory hours: 2 (bi-weekly)
    Tutorial hours: 1.5
    Prerequisite(s): METE 2010U  and MATH 2860U 
  

  • METE 2030U – Electronics Applications in Mechatronics

    This course present analysis and design methods for basic analog and digital electronic circuits and devices using analytical, computer and laboratory tools. The discussion focuses on application of electronic circuits to instrumentation and mechatronic systems. The topics covered includes bipolar junction transistors (BJT), circuit models and applications, field-effect transistors, circuit model and applications, feedback amplifier analysis and stability, digital logic concept, logic gate, logic electronic circuits, integrated circuit biasing techniques, digital-to-analog and analog-to-digital converters and the structure of measurement chain.
    Credit hours: 3
    Lecture hours: 3
    Laboratory hours: 2 (bi-weekly)
    Tutorial hours: 1.5
    Prerequisite(s): METE 2010U 
  

  • METE 3100U – Actuators and Power Electronics

    This course covers the fundamentals of AC and DC actuators, the necessary power electronics to interface with them, along with their basic control. Topics include: AC synchronous and induction motors; DC servo and stepper motors, power electronics, including H-bridges, PWM control, interfacing, power amplifiers, and transformers; and an introduction to speed and torque control of motors.
    Credit hours: 3
    Lecture hours: 3
    Laboratory hours: 2 (biweekly)
    Prerequisite(s): MECE 3350U  and (ELEE 2250U  or METE 2030U )
  

  • METE 3200U – Sensors and Instrumentation

    This course presents methods to measure physical quantities such as position, velocity, acceleration, force, strain, pressure, temperature, and fluid flow. Topics include the selection and application of sensors; sensor models; calibration; dynamic response of measurement systems; signal conditioning; methods of data acquisition and recording; and the design of measurement systems.
    Credit hours: 3
    Lecture hours: 3
    Laboratory hours: 2 (biweekly)
    Prerequisite(s): ELEE 3230U  or METE 2020U  
  

  • METE 3350U – Microprocessors and Digital Systems

    Introduction to digital systems: Boolean algebra; truth tables; combinational logic; logic gates; sequential logic; flipflops, counters, memory circuits; and logic circuit analysis. Basic structure of a computer; assembly-language and high level language programming; machine language and step-by-step instruction execution and debugging; digital I/O; analog to digital conversion; interrupt handling and flow from reset, operating systems; hardware implementation of an addressing map; bus interface and memory timing; state-of-the art microprocessors: features and characteristics.
    Credit hours: 3
    Lecture hours: 3
    Laboratory hours: 2 (biweekly)
    Prerequisite(s): SOFE 2710U  
  

  • METE 4000U – Special Topics in Mechatronics Engineering

    Contemporary topics at the advanced undergraduate level. Faculty presents advanced elective topics not included in the established curriculum.
    Credit hours: 3
    Lecture hours: 3
    Prerequisite(s): Permission of the Instructor
  

  • METE 4100U – Mechatronics Design

    Students will learn how to design mechatronic systems through a series of open-ended design projects in a hands-on learning environment. The focus of this course is to provide the tools required to design successful mechatronic systems. Additional topics include: modelling, analyses, and control of mechatronic systems. Numerous case studies will be discussed to highlight the challenges of designing successful mechatronic systems.
    Credit hours: 3
    Lecture hours: 3
    Laboratory hours: 2
    Prerequisite(s): METE 3100U  and METE 3200U  and METE 3350U  
  

  • METE 4200U – Industrial Automation

    This course covers the fundamentals of Programmable Logic Controllers (PLCs). Students will learn the basics of PLCs, including how PLCs function, how to program PLCs, and how to design automated systems that are controlled by PLCs. In addition, students will learn the fundamentals of pneumatics and hydraulics including the design and control of systems that incorporate pneumatic and/or hydraulic components.
    Credit hours: 3
    Lecture hours: 3
    Laboratory hours: 2 (biweekly)
    Note(s): Must be registered in third year
  

  • METE 4300U – Introduction to Mobile Robotics

    Students will learn the basics of mobile robotics through a series of open-ended projects in a hands-on learning environment. Topics covered, include: locomotion; mobile robot kinematics; perception; mapping and localization; and path planning, obstacle avoidance, and navigation.
    Credit hours: 3
    Lecture hours: 3
    Laboratory hours: 3
    Prerequisite(s): MANE 4280U  and METE 4100U  
  

  • METE 4350U – Linear State‐Space Control Systems

    This course will cover linear state space control systems. Specific topics include: state space fundamentals, system controllability, system observability, minimum realizations for Single-Input/Single-Output (SISO) and Multiple-Input/Multiple-Output (MIMO) control systems, stability, design of linear state feedback control laws, observers and observes based compensators, and introduction to optimal control.
    Credit hours: 3
    Lecture hours: 3
    Prerequisite(s): MECE 3350U  
    Experiential learning: Yes
  

  • METE 4400U – Introduction to Real-Time Embedded Systems

    This course focuses on the design and implementation of real-time, embedded, microprocessor-based systems.  Topics include: embedded system design; instruction sets for microprocessor architecture; I/O; interrupts, hardware and software of embedded systems; program design and analysis; practical issues; multi-tasking operating systems; scheduling; and system design techniques.
    Credit hours: 3
    Lecture hours: 3
    Laboratory hours: 2 (biweekly)
    Prerequisite(s): METE 3350U  
  

  • METE 4500U – Machine Vision for Robotic Systems

    This course investigates the fundamentals of applying machine vision to solving problems related to the kinematics of robotic mechanical systems. The course provides an introduction to the fundamentals of machine vision such as image formation, binary morphology, linear filtering, and signal processing. This is followed by the fundamentals of imaging geometry including projective geometry, approximation theory, and fitting geometric objects to point clouds. The aim of the course is to apply the techniques to be learned in order to use digital cameras as high precision measurement devices. Practical applications in robotics are investigated such as robot calibration, pose estimation, and trajectory tracking.
    Credit hours: 3
    Lecture hours: 3
    Prerequisite(s): MANE 4280U  

Medical Laboratory Science
  

  • MLSC 1010U – Introduction to Medical Laboratory Practice

    This course introduces the student to the profession of Medical Laboratory Science, its history, inter-relationships to other health professionals, relevant professional associations and regulatory bodies. The scope and role of the Medical Laboratory Technologist within the core disciplines (biochemistry, hematology, blood transfusion, microbiology, and histology) and the advanced disciplines (immunology, cytology, cytogenetics, and molecular diagnostics) will be examined. The fundamental knowledge, skills and attitudes required of a student progressing on to MLS discipline-specific courses will also be introduced. Safety, specimen collection, basic instrumentation, solution preparation, staining, microscopy and quality control provide a foundation for the role of the medical laboratory technologist.
    Credit hours: 3
    Lecture hours: 3
    Laboratory hours: 2
    Prerequisite(s): CHEM 1020U  and HLSC 1201U  and (HLSC 2110U  or MLSC 1110U )
  

  • MLSC 1110U – Foundations in Clinical Biochemistry

    A comprehensive study of human biochemistry which introduces major biomolecules and biopolymers, metabolic pathways, mechanisms of control, and gene function. This course will present how the basic principles of biochemistry underlie the normal physiological functions in humans. Topics will include nucleic acids, protein structure and function, enzymes, membranes, and lipid, nitrogen, and carbohydrate metabolism. This course will better prepare Medical Laboratory Sciences students to make informed decisions by providing them with the foundational biochemical knowledge underlying human health. The lecture component will be structured towards introductory human biochemistry. Tutorial topics for Medical Laboratory Sciences students will emphasize relevant clinical applications. A foundational knowledge of biochemistry will serve as the intellectual basis for advanced medical laboratory science courses. Students take tutorials that are specific for MLSc students, lectures are cross-listed to HLSC 2110U .
    Credit hours: 3
    Lecture hours: 3
    Tutorial hours: 1.5 bi-weekly
    Credit restriction(s): HLSC 2110U  - tutorials are specific to MLSC
    Cross-listed: HLSC 2110U  
    Note(s): HLSC 2110U  - tutorials are specific to MLSC
  

  • MLSC 2111U – Clinical Biochemistry I

    Clinical Biochemistry I examines the theory, application and clinical significance of basic analytical procedures in the clinical chemistry laboratory. It encompasses basic clinical and analytical aspects of enzymes, proteins, lipids, carbohydrates, non‐protein nitrogenous substances, body fluids and urinalysis as well as common techniques and advanced principles of photometry, automation and osmometry. Manual, semi-automated, and automated analyses are used to enforce basic laboratory practices of calibration, sample handling, result reporting, along with advanced quality control evaluation.
    Credit hours: 3
    Lecture hours: 3
    Laboratory hours: 3
    Prerequisite(s): MATH 1880U  and MLSC 1010U  
    Corequisite(s): HLSC 2461U  
  

  • MLSC 2121U – Clinical Hematology I

    This course introduces fundamental knowledge and techniques used in the study of laboratory hematology. Topics discussed include normal composition, production, metabolism, function and morphology of blood cells and hematopoietic organs. Current manual and automated laboratory procedures relating to blood cell structure, function and morphology are examined and applied and their significance in the diagnosis of blood disorders is emphasized.

    This course has multiple sections and delivery modes. Please check MyOntarioTech for further details.
    Credit hours: 3
    Lecture hours: 3
    Laboratory hours: 3
    Prerequisite(s): MATH 1880U  and MLSC 1010U  
    Corequisite(s): HLSC 2461U  
  

  • MLSC 2130U – Foundations in Clinical Microbiology and Immunology

    This course introduces students to the microbial world, and will serve as a foundation for Clinical Microbiology courses or for entry into healthcare related programs. Students will learn about the different types of microorganisms, with an emphasis on bacteria, and will come to appreciate the importance of microorganisms in our daily lives. This course will introduce students to the clinical relevance of microorganisms with emphasis on basic principles of identification, culturing, controlling, and pathogenesis of bacteria. The course also includes basic principles of immunology with emphasis on immunological techniques, which will serve as foundation for Clinical Microbiology, Clinical Biochemistry, Clinical Hematology and Transfusion Science courses.

    This course has multiple sections and delivery modes. Please check MyOntarioTech for further details.
    Credit hours: 3
    Lecture hours: 3
    Prerequisite(s): HLSC 1201U  
    Credit restriction(s): BIOL 2060U  
  

  • MLSC 2131U – Clinical Microbiology I

    This course provides fundamental microbiology and immunology knowledge with emphasis on prokaryotic cell structure, function and genetics, modes of action of antimicrobial agents and transfer of antimicrobial resistance; the immune response; etiology, pathogenesis, epidemiology, treatment and control of important infectious disease in humans. Laboratory exercises develop fundamental skills in aseptic technique, microscopy, pure culture study, antimicrobial susceptibility testing, and the isolation and identification of pathogenic microorganisms.

    This course has multiple sections and delivery modes. Please check MyOntarioTech for further details.
    Credit hours: 3
    Lecture hours: 3
    Laboratory hours: 6
    Prerequisite(s): MLSC 1010U  and MLSC 2130U .
    Corequisite(s): HLSC 2461U  
  

  • MLSC 2140U – Medical Laboratory Science (MLS) Bridge Course – Biotechnology to MLS

    The intent of this bridging course is to set the university’s expectations for scholarly writing and to bring a health science and medical diagnostic perspective to foundational knowledge in the areas of microbiology and biochemistry. This is in preparation for the year 2, winter semester, Medical Laboratory Science clinically oriented courses.
    Credit hours: 3
    Prerequisite(s): Advanced diploma in Biotechnology from Durham or Fleming College, GPA of 3 and the completion of a comprehensive course(s) in human anatomy and physiology.
    Corequisite(s): MLSC 1010U , HLSC 2460U  
  

  • MLSC 3111U – Clinical Biochemistry II

    Clinical Biochemistry II builds on Clinical Biochemistry I to encourage an enhanced appreciation of the clinical and analytical aspects of biochemical diagnostic procedures related to major physiological systems, organs, and processes including homeostatic systems, endocrinology, renal, cardiac, gastric, pancreatic, and liver functions. Clinical significance and methods of analysis include special biochemistry analytes such as electrolytes and blood gases, iron studies, hormones and metabolites, cancer markers, therapeutic drugs and toxicology, and trace elements. It will provide advanced knowledge of techniques used in a clinical chemistry laboratory including electrochemistry, chromatography and mass spectrometry, electrophoresis, and immunochemistry. Automated and specialized laboratory procedures are performed along with advanced calibration techniques, and internal and external quality control evaluation.

    This course has multiple sections and delivery modes. Please check MyOntarioTech for further details.
    Credit hours: 3
    Lecture hours: 3
    Laboratory hours: 3
    Prerequisite(s): HLSC 2461U  and MLSC 2111U  
  

  • MLSC 3121U – Clinical Hematology II

    Clinical Hematology II expands on hematology theory and practice with an emphasis on important blood disorders involving erythrocytes, leukocytes and platelets. Morphology, investigative procedures and laboratory findings related to blood disorders will be examined. Current automated laboratory procedures relating to blood cell structure, function and morphology are examined and applied and their significance in the diagnosis of blood disorders is emphasized. The principles of hemostasis theory, including related bleeding disorders will be studied. Common laboratory techniques used in the diagnosis of these disorders will be performed. Correlation with clinical findings will be discussed, along with introducing the role of the transfusion laboratory in the provision of blood products to treat bleeding disorders.

    This course has multiple sections and delivery modes. Please check MyOntarioTech for further details.
    Credit hours: 3
    Lecture hours: 3
    Laboratory hours: 3
    Prerequisite(s): HLSC 2461U  and MLSC 2121U  
  

  • MLSC 3131U – Clinical Microbiology II

    The Clinical Microbiology lectures and laboratories will address the theory and methodologies involved in the laboratory diagnosis of micro-organism infections in humans. Included are discussions and/or practical activities related to specimen collection and processing, culture and sensitivity procedures, interpretation, reporting, infection control, and the emerging global significance of infectious disease. This course builds on the general microbiology knowledge gained in previous coursework, MLSC 2131U – Clinical Microbiology I . This course focuses on the clinical microbiology microorganisms and applications required for gaining competence in professional practice. Students will have an opportunity to apply their theory in hands-on laboratory sessions using simulated patient samples for culture and sensitivity.

    This course has multiple sections and delivery modes. Please check MyOntarioTech for further details.
    Credit hours: 3
    Lecture hours: 3
    Laboratory hours: 3
    Prerequisite(s): HLSC 2461U  and MLSC 2131U  
  

  • MLSC 3141U – Molecular Techniques and Complementary Technologies

    This course introduces students to the molecular techniques and complementary technologies employed in research and diagnostic clinical laboratories. Topics will include the theory and application of relevant molecular based assays, quality control, interpretation of results and trouble shooting. There will also be an emphasis on how the implementation of these assays is enhancing the diagnosis, treatment and monitoring of patients, and advancing research approaches to important scientific questions. Laboratory exercises will be carried out predominantly in a wet laboratory, complemented by web-based exercises. Those students intending to apply for a laboratory based research practicum (HLSC 4998U , HLSC 4999U ) must successfully complete this course.
    Credit hours: 3
    Lecture hours: 3
    Laboratory hours: 3 (biweekly)
    Prerequisite(s): MLSC 3131U  and MLSC 3230U  or HLSC 2465U  with a grade of at least B and 60 credit hours
  

  • MLSC 3200U – Transfusion Science I

    This course introduces the theoretical concepts and immunological principles fundamental to testing in the transfusion laboratory. The material covered will form the foundation for MLSC 3220U – Transfusion Science II  in the following semester. Students will learn the basic concepts of blood groups and serological testings, the protocol for the collection, storage, preparation and testing of donor blood. Current blood bank testing technologies and automation, quality management and compliance will be covered in this course.

    This course has multiple sections and delivery modes. Please check MyOntarioTech for further details.
    Credit hours: 3
    Lecture hours: 3
    Laboratory hours: 3
    Prerequisite(s): MLSC 2121U  
    Credit restriction(s): MLSC 3221U
  

  • MLSC 3210U – Effective Leadership and Quality Management in the Clinical Laboratory

    This course focuses on specific knowledge and skills that facilitate taking on an informal or formal leadership role in the practice of medical laboratory science. The laws and policies that govern the Canadian health care system will be introduced in the context of the determinants of health and the impact on laboratory systems. This will be followed by investigation of how the practice of professionalism, leadership, effective communication, ethics and ethical decision-making apply to medical laboratory science. Students will be exposed to quality management tools including laboratory accreditation. 

    This course has multiple sections and delivery modes. Please check MyOntarioTech for further details.
    Credit hours: 3
    Lecture hours: 3
    Prerequisite(s): MLSC 2111U  
  

  • MLSC 3220U – Transfusion Science II

    This course focuses on the specific knowledge and skills needed for practice in a blood transfusion laboratory, including legal and regulatory requirements related to the Canadian Society of Transfusion Medicine (CSTM). Students will learn the detection and identification of antibodies, and pre‐transfusion testing. Protocols for transfusion therapy and adverse effects of blood transfusion will be covered. Some clinical conditions such as hemolytic disease of the fetus and newborn, autoimmune hemolytic anemia, and transfusion‐transmitted disease will be discussed. The HLA system and its role in transplantation, transfusion, and immunogenetics will be covered in this course.

     
    Credit hours: 3
    Lecture hours: 3
    Laboratory hours: 3
    Prerequisite(s): MLSC 3200U 
  

  • MLSC 3230U – Microanatomy and Histotechnology

    The microanatomy component of this course emphasizes the morphological identification of the four basic tissues and the normal arrangement of these tissues in the body systems; an essential prerequisite to the practice of both histotechnology and histopathology. This course also introduces the knowledge and skills associated with histotechnology allowing students to prepare tissue samples for microscopic screening and diagnosis. The specific topics included in the Histotechnology portion of the course include tissue grossing, fixation, processing, embedding and microtomy.

    This course has multiple sections and delivery modes. Please check MyOntarioTech for further details.
    Credit hours: 3
    Lecture hours: 3
    Laboratory hours: 3
    Prerequisite(s): HLSC 2461U  and MLSC 1010U  and MLSC 2130U  
  

  • MLSC 3231U – Advanced Histotechnology

    Advanced Histotechnology builds upon the theory and skills learned in MLSC 3230U  Microanatomy and Histotechnology. Students will enhance their skills in embedding and microtomy. The theory of routine and special stains will be introduced and the laboratory sessions will provide students with the opportunity to perform various staining methodologies. Tissue elements to be demonstrated include, but are not limited to; nuclear and cytoplasmic, various connective tissues, amyloid and lipids. Differentiation of carbohydrate classes and identification of pigments, minerals and microorganisms in tissue will also be performed. The principles and application of specific molecular diagnostic tests will be introduced. Quality control and quality management practices in the Histopathology laboratory will be emphasized.

    This course has multiple sections and delivery modes. Please check MyOntarioTech for further details.
    Credit hours: 3
    Lecture hours: 3
    Laboratory hours: 3
    Prerequisite(s): MLSC 3230U  
  

  • MLSC 3300U – Simulated Clinical Practicum

    This simulated practicum experience takes place at the university. Students work on multiple simulated clinical specimens that are related to specific patient histories. Students are expected to assess the laboratory results produced and correlate this information to the patient histories and further case study information in order to make recommendations for further testing, monitoring and/or intervention. The emphasis is on clinical reasoning and clinical judgment skills. This course also provides an opportunity for students to gain further experience on a variety of instrumentation. The intended outcome of this course is to enhance the readiness of students to enter the next phase of the clinical practicum.
    Credit hours: 3
    Prerequisite(s): HLSC 2461U  and MLSC 3111U  and MLSC 3121U  and MLSC 3131U  and MLSC 3200U  and MLSC 3230U  
  

  • MLSC 4111U – Clinical Biochemistry III

    The Biochemistry laboratory is one of the five major laboratory rotations in which students spend time during the practicum semesters. During this rotation, students participate in the testing, documentation, interpretation, and troubleshooting associated with performing analyses using the site’s principle analyzers and with performing biochemical and microscopic procedures for random and timed urine samples. This includes the maintenance and appropriate preparation, use, and storage of calibrators and quality control material. Depending on the site, students will have the opportunity to perform analyses using any of the following methodologies; electrophoresis, chromatography, osmometry, immunoassay, POCT and molecular genetics. Throughout this rotation quality management and professional practices are emphasized. Students registered in MLSC 4111U must register in MLSC 4112U  to receive a grade.
    Credit hours: 1.5
    Prerequisite(s): MLSC 3300U  
    Corequisite(s): MLSC 4400U  
    Experiential learning: Yes
  

  • MLSC 4112U – Clinical Biochemistry IV

    This course is a continuation of MLSC 4111U . Students are expected to take this course immediately after MLSC 4111U .
    Credit hours: 1.5
    Prerequisite(s): MLSC 4111U  
    Corequisite(s): MLSC 4401U  
  

  • MLSC 4121U – Clinical Hematology III

    The Hematology laboratory is one of the five major laboratory rotations in which students spend time during the practicum semesters. During this rotation, students participate in the testing, documentation, interpretation and reporting associated with processing hematology specimens for analysis, operating and maintaining cell counters, interpreting complete blood counts and reticulocyte results, performing routine hemostasis testing, completing morphology reports on white and red blood cells and platelets, and preparing and analyzing body fluids. Throughout this rotation quality management and professional practices are emphasized. Students registered in MLSC 4121U must register in MLSC 4122U  to receive a grade.
    Credit hours: 1.5
    Prerequisite(s): MLSC 3300U  
    Corequisite(s): MLSC 4400U  
  

  • MLSC 4122U – Clinical Hematology IV

    This course is a continuation of MLSC 4121U . Students are expected to take this course immediately after MLSC 4121U .
    Credit hours: 1.5
    Prerequisite(s): MLSC 4121U  
    Corequisite(s): MLSC 4401U  
  

  • MLSC 4131U – Clinical Microbiology III

    The Microbiology laboratory is one of the five major laboratory rotations in which students spend time during the practicum semesters. During this rotation, students participate in the testing, interpretation, documentation, and reporting associated with the identification and antimicrobial susceptibility testing of pathogens isolated from blood cultures, gastrointestinal, genital, respiratory and urinary tract specimens, wounds, tissues, CSF and other fluids. Students also process and interpret cultures from antibiotic resistant organisms and stain and interpret direct Gram smears. Throughout this rotation quality management and professional practices are emphasized. Students registered in MLSC 4131U must register in MLSC 4132U  to receive a grade.
    Credit hours: 1.5
    Prerequisite(s): MLSC 3141U  and MLSC 3300U  
    Corequisite(s): MLSC 4400U   
  

  • MLSC 4132U – Clinical Microbiology IV

    This course is a continuation of MLSC 4131U . Students are expected to take this course immediately after MLSC 4131U .
    Credit hours: 1.5
    Prerequisite(s): MLSC 4131U  
    Corequisite(s): MLSC 4401U  
  

  • MLSC 4210U – Professional Practice in the Clinical Laboratory I

    Professional conduct is an essential component of the practice of Medical Laboratory Science. The behaviours associated with professional conduct are outlined in the national competency profile of the Canadian Society for Medical Laboratory Science (CSMLS), which form the basis of the behaviour expectations in this course. The goal is for students to consistently meet, by the end of the practicum, the entry to practice standards as stated in the CSMLS Code of Professional Conduct and the Code of Ethics of the College of Medical Laboratory Technologists of Ontario. Students registered in MLSC 4210U must register in MLSC 4211U . 
    Credit hours: 1.5
    Prerequisite(s): MLSC 3300U  
    Corequisite(s): MLSC 4400U  
 

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