Kaumil Patel

Engineering Design & Communication

An interdisciplinary course involving the application of engineering principles, design, communications, leadership and project management concepts through a sequence of team-based design projects.

Behaviour Of Liquids, Gases & Solid

An introduction to the behaviour of fluids and solids; phase transformations, the phase rule and phase diagrams. Ideal and real gases; equations of state and their engineering applications; simple kinetic theory; transport properties of fluids. Liquid state; vapor pressure; shear behaviour; flow of fluids in pipelines. Solids; crystalline and non-crystalline structure; non equilibrium solid phases; electrical and thermal conductivity; dislocations; stress and strain; creep; fracture.

Computing For Engineers

Overview of computer systems. Functions of software components: operating systems, editors, compilers. Programming in a high-level language: selection and loop structures, routines, array and record types, text file operations. Introduction to object-based programming: use of class libraries and construction of simple classes.

Linear Methods I

An introduction to systems of linear equations, vectors in Euclidean space and matrix algebra. Additional topics include linear transformations, determinants, complex numbers, eigenvalues, and applications.

Calculus For Engineers & Scientists

Calculus of functions of one real variable; derivative and Riemann integral; Mean Value Theorem; the Fundamental Theorem of Calculus; techniques of integration; Applications; Improper integrals; Power series, Taylor series.

General Chemistry For Engineers

Basic chemical concepts. Atomic and molecular structure. Chemical bonding. Chemical kinetics and equilibrium. Acid-base and solubility equilibrium. Oxidation-reduction phenomena and electrochemistry. The chemistry of water. The chemistry of energy sources. Basic environmental issues. This course may not be repeated for credit.

Engineering Statics

Force vectors; equilibrium of a particle in two and three dimensions; force system resultants; equilibrium of a rigid body in two and three dimensions; internal forces in trusses; frames, machines and beams; bending moment and shear force diagrams; friction; centre of gravity; centroids of areas; composite bodies.

Fundamentals Of Electrical Circuits & Machines

Current, voltage and power; Kirchhoff's current and voltage laws; capacitors; electricity and magnetism fundamentals applied to circuit elements and machines; inductors; topics in electrical circuits and systems; instrumentation; circuit design, DC and AC circuit analysis methods; DC and AC machines; first order circuits and transient analysis.

Multivariable Calculus For Engineers & Scientists

An introduction to calculus of several real variables: curves and parametrizations, partial differentiation, the chain rule, implicit functions; integration in two and three variables and applications; optimization and Lagrange multipliers.

Electricity & Magnetism For Engineers

Electric and magnetic fields related to charges and current through Maxwell's equations. Energy stored in fields, potential energy, and voltage. Conductors, insulators, and dielectrics. Resistance, capacitance, and inductance with applications to RC/RL circuits.

Programming Fundamentals For Software & Computer

Key features of the C programming language. Pointers, memory models and memory management. Manipulation of text files and binary files. Introduction to recursion. Introduction to a modern object-oriented language. Development of basic program design skills with small projects.

Data Structures, Algorithms, And Their Applications

Fundamental data structures, including arrays, lists, stacks, queues, trees, hash tables, and graphs. Algorithms for searching and sorting. Introduction to analysis of algorithms. Applications of these data structures and algorithms. For students wishing to combine studies in computer science with studies in other disciplines.

Discrete Mathematics

An introduction to proof techniques and abstract mathematical reasoning: sets, relations and functions; mathematical induction; integers, primes, divisibility and modular arithmetic; counting and combinatorics; elements of probability, discrete random variables and Bayes' theorem.

Introduction to Biomedical Engineering

Fundamentals of biological systems and the application of engineering principles to address challenges in human and animal health. The role of the biomedical engineer in society and in the current industrial landscape. Topics include pharmaceuticals and drug delivery, instrumentation and devices, physiological and biological measurements, biomechanics, the Scientific Method and the Canadian health-care system. Applications may include the cardiovascular, neural and musculo-skeletal systems.

Digital Circuits

Number systems and simple codes. Combinational logic: Boolean algebra, truth tables, minterms, maxterms, Karnaugh maps; gates, buffers, multiplexers and decoders; combinational circuit timing. Sequential circuits: latches and D flip flops; timing considerations; analysis and synthesis techniques; Mealy and Moore machine models; counters and registers. Introduction to memory arrays.

Probability And Statistics For Engineers

Presentation and description of data, introduction to probability theory, Bayes' theorem, discrete and continuous probability distributions, estimation, sampling distributions, tests of hypotheses on means, variances and proportions, simple linear regression and correlation. Applications are chosen from engineering practice.

Differential Equations for Engineers and Scientists

Definition, existence and uniqueness of solutions; first order and higher order equations and applications; Homogeneous systems; Laplace transform; partial differential equations of mathematical physics.

Acoustics, Optics and Radiation For Engineers

Wave motion as applied to acoustics, geometric and physical optics, and radiant energy transfer. Traditional and modern applications.

Data Base Management Systems

Conceptual, internal and external data bases. Relational data base systems and SQL. The normal forms, data base design, and the entity-relationship approach.

Computer Organization

Organization of a simple stored-program computer: CPU, busses and memory. Instruction sets, machine code, and assembly language. Conventions for assembly language generated by compilers. Floating-point number representation. Hardware organization. Address translation and virtual memory. Input/output devices, computer interfacing, interrupt handling and multi-tasking systems.

Signals and Transforms

Continuous-time systems. Impulse response and convolution. Fourier series and Fourier transform. Basics of discrete time signals. Sampling theory. Discrete convolution. Difference equations and the Z-transform. Discrete-time Fourier representations.

Engineering Economics

The basic tools and methodology of engineering economic studies. Topics include investment decisions, theory of replacement, economies of scale, externalities, social decision making and government regulation. Examples are drawn from engineering projects.

Principles of Software Development

A survey of software design and development topics for Engineering students. Topics include: key features of an object-oriented programming language, especially inheritance and polymorphism; elements of object-oriented design; programming and application of common data structures; strategies and tools for testing and debugging.

The Role and Responsibilities of the Professional Engineer in Society

The professional duties and responsibilities of the engineer as they relate to society. Ethics and the engineering profession. Public and worker safety and health. Design for safety. Sustainable development. The engineer and the environment. Environmental stewardship. Essentials of leadership. Gender issues. Employment equity. Fundamentals of Engineering Law. Professional organizations. The Engineering Professions Act.

Professional and Technical Communication

An introduction to professional and technical communication in diverse media. Examines the rhetorical dimensions of workplace settings as well as the process of planning, composing and delivering professional and technical communication for various audiences.

Classical Mythology & Literature

An introduction to Greek and Roman myths as presented in classical literature and art, and to their cultural context.

Computer Networks

Principles and practice in modern telecommunications, computer communications and networks. Layered communication protocols and current physical, data link, network and Internet protocol layers. Circuit switching, packet switching, and an introduction to broadband multimedia networking.

Embedded System Interfacing

Review of computer architecture; microcontrollers and their instruction sets; interfacing using common input/output devices, debugging and other software engineering practices, strategies for interrupt handling and exception handling; Interfacing using high level and assembly languages; software and hardware optimizations to achieve real time operations; real time operating systems; Embedded real-time applications.

Technology and Society

An interpretive course on the interrelationship between technology and society. The first part of the course surveys significant historical developments within disciplinary areas such as energy, materials, production processes, structures, transport, communications, and computation. Sequence within each area: discovery, development, application, impact, future. Social and economic consequences are also considered. The latter part of the course explores contemporary problems of society and technology.

Principles of Software Design

Brief overview of typical software development lifecycles. Systematic methods for designing large-scale, quality software. Concepts such as abstraction, modularity, and software modelling will be covered. Designing for non-functional properties of software will be introduced. Emphasis on individual skills.

Principles of Operating Systems

An introduction to operating systems principles. Performance measurement; concurrent programs; the management of information, memory and processor resources.

Software Architecture

Software architectures and design for non-functional software properties. Introduction to program comprehension skills including analysis of existing architectures.

Software Testing, Reliability, and Quality

Concepts, methods, techniques, processes, and tools for software testing. The principles, processes, and applications of software reliability and software quality assurance.

Software Requirements Engineering

Introduction to elicitation, modelling, expression and validation of the requirements. Techniques and methodologies for requirements engineering. Applications of requirements engineering to the management of the software development lifecycle.

Technical Terms of Medicine and the Life Sciences

The Greek and Latin elements of modern medical and life-sciences terminology, with a brief introduction to their history and cultural background.

Internship In Engineering I

Internship course consist of four months of full-time supervised, employer paid work and on-line career modules.

Internship In Engineering II

Internship course consist of four months of full-time supervised, employer paid work and on-line career modules.

Compiler Construction

Introduction to compilers, interpreters, and the tools for parsing and translation. Lexical analysis, context free grammars and software tools for their recognition. Attribute grammars and their applications in translation and compiling.

Internship In Engineering III

Internship course consist of four months of full-time supervised, employer paid work and on-line career modules.

Internship In Engineering III

Internship course consist of four months of full-time supervised, employer paid work and on-line career modules.

Introduction to Computer Graphics

Introduction to computer graphics. Principles of raster image generation. Example of a graphics API. Graphics primitives. Co-ordinate systems, affine transformations and viewing of graphical objects. Introduction to rendering including shading models and ray tracing. Introduction to modelling including polygon meshes, subdivision, and parametric curves and surfaces.

Computer, Electrical, and Software Engineering Team Design

Preliminary and detailed engineering design and implementation of an engineering system that applies engineering knowledge to solving a real-life problem. The emphasis is on the design process as it is associated with electrical, computer and software engineering, design methodology, general design principles for engineers, teamwork and project management.

Software Project Management

Analysis of methods, tools, and techniques for software project management as an effort to achieve quality software products.

Scalable Data Analytics

Sources and characteristics of large scale data, i.e., "big data", large scale data analysis, benefits of large scale data analysis to various industry domains, programming paradigms and middleware technologies for scalable data analysis, algorithms that enable large scale data processing, application of large scale data algorithms in selected application domains, e.g., Web user behaviour analysis and text processing, analytics frameworks.

Computer, Electrical, and Software Engineering Team Design

Preliminary and detailed engineering design and implementation of an engineering system that applies engineering knowledge to solving a real-life problem. The emphasis is on the design process as it is associated with electrical, computer and software engineering, design methodology, general design principles for engineers, teamwork and project management.

Computer Vision

Introduction to the fundamentals of image processing and computer vision. Image/video acquisition and raw data matrix manipulation; image processing operations and compression methods; object detection, isolation, and classification; 3D tracking and ego-motion with projective transformations.

Data Science for Software Engineers

Fundamental topics in data collection, preparation, exploration, mining and machine learning will be covered with a focus on software development.

Software Performance Evaluation

Analyzing quality requirements of large-scale software. Performance analysis, testing, and tuning techniques. Evaluating software scalability. Capacity planning methodologies. Issues related to safety, security, and availability of software.