Department of Systems and Computer Engineering
(Faculty of Engineering and Design)
Systems and Computer Engineering (SYSC) Courses
Note: the Departments of Systems and Computer Engineering and Electronics offer courses in: Biomedical and Electrical Engineering, Communications Engineering, Computer Systems Engineering, Electrical Engineering, Software Engineering and Engineering Physics.
Introduction to Software Development
Software development as an engineering discipline, using a modern programming language, Language syntax. Algorithm design. Tracing and visualizing program execution. Testing and debugging. Program style, documentation, reliability. Lab projects are drawn from a variety of application domains: digital image manipulation, computer games, robotics.
Precludes additional credit for ECOR 1041, ECOR 1042, ECOR 1051, ECOR 1606, SYSC 1100 (no longer offered), COMP 1005 and COMP 1405.
Lectures three hours a week, laboratory three hours a week.
Computer Systems Foundations
Computer architecture and organization: CPU, cache, memory, input/output, bus structures, interrupts; computer arithmetic: integer and floating point; CPU: instruction sets, addressing modes, instruction encoding. Input/output: programmed, interrupt-driven, block-oriented. Examples from several modern processor families.
Precludes additional credit for SYSC 2320, SYSC 3006.
Prerequisite(s): ECOR 1606 or SYSC 1005. Additional recommended background: SYSC 2006.
Lectures three hours a week, laboratory two hours a week.
Introductory Real-Time Systems
Principles of event-driven systems. Review of computer organization. Assemblers and linkers. Development of embedded applications. Programming external interfaces, programmable timer. Input/output methods: polling, interrupts. Real-time issues: concurrency, mutual exclusion, buffering. Introduction to concurrent processes.
Precludes additional credit for SYSC 3006 and SYSC 3310.
Prerequisite(s): SYSC 2001 and SYSC 2006.
Lectures three hours a week, laboratory two hours a week.
Object-Oriented Software Development
Designing and implementing small-scale programs as communities of collaborating objects, using a dynamically-typed or statically-typed programming language. Fundamental concepts: classes, objects, encapsulation, information hiding, inheritance, polymorphism. Iterative, incremental development and test-driven development.
Precludes additional credit for SYSC 1101, COMP 1006 and COMP 1406.
Prerequisite(s): SYSC 2006 or permission of the department, and second-year status in Engineering.
Lectures three hours a week, laboratory two hours a week.
Foundations of Imperative Programming
The imperative programming paradigm: assignment and state, types and variables, static and dynamic typing. Memory management and object lifetimes: static allocation, automatic allocation in activation frames, dynamic allocation. Function argument passing. Recursion. Data structures: dynamic arrays, linked lists. Encapsulation and information hiding.
Precludes additional credit for COMP 2401, SYSC 4006.
Prerequisite(s): Second-year status in Engineering.
Lectures three hours a week, laboratory two hours a week.
Programming Project
Programming, testing, and debugging of small team-based software projects that use data from sensors to display results graphically. Modern programming tools: frameworks, libraries, version control, package management, tool chains. Sensors, signal acquisition, display, and basic filtering. Introductory network programming.
Precludes additional credit for SYSC 3010, SYSC 3110.
Prerequisite(s): 2nd year status in Biomedical and Electrical Engineering or Communications Engineering.
Lectures three hours a week, laboratory three hours a week.
Algorithms and Data Structures
Thorough coverage of fundamental abstract collections: stacks, queues, lists, priority queues, dictionaries, sets, graphs. Data structures: review of arrays and linked lists; trees, heaps, hash tables. Specification, design, implementation of collections, complexity analysis of operations. Sorting algorithms.
Precludes additional credit for SYSC 2002 (no longer offered) and COMP 2402.
Prerequisite(s): SYSC 2006 with a minimum grade of C-, and second-year status in Engineering.
Lectures three hours a week, laboratory two hours a week.
Introduction to Digital Systems
Number systems: binary, decimal, hexadecimal. Digital representation of information. Computer arithmetic: integer, floating point, fixed point. Boolean logic, realization as basic digital circuits. Applications: simple memory circuits, synchronous sequential circuits for computer systems. Finite state machines, state graphs, counters, adders. Asynchronous sequential circuits. Races.
Precludes additional credit for ELEC 2607.
Prerequisite(s): Enrolment in Computer Systems Engineering, Communications Engineering, or Software engineering, and second-year status in Engineering.
Lectures three hours a week, laboratory three hours alternate weeks.
Introduction to Computer Organization and Architecture
Computer organization: processor, memory, input/output, system bus. Microarchitecture. Instruction set architecture. Assembly language programming: addressing modes, instruction encoding, execution. Assembler. Simple digital I/O, programmable timer. Input/output methods: polling, hardware interrupts.
Precludes additional credit for SYSC 2001 and SYSC 3006.
Prerequisite(s): SYSC 2310 or ELEC 2607, and second-year status in Engineering.
Lectures three hours a week, laboratory three hours a week.
Probability, Statistics and Random Processes for Engineers
Discrete and continuous random variables. Joint and conditional probabilities, independence, sums of random variables. Expectation, moments, laws of large numbers. Introduction to statistics. Stochastic processes, stationarity, additive white Gaussian noise, Poisson processes. Markov processes, transition probabilities and rates, birth death processes, introduction to queueing theory.
Prerequisite(s): MATH 1004 and MATH 1104, and second-year status in Engineering.
Lectures three hours a week, laboratory three hours alternate weeks.
Computer Organization
Computer organization: processor, memory, input/output, system bus. Number systems: binary, decimal, hexadecimal. Assembly language programming: representation of data, instruction encoding, execution. Devices: keyboard, programmable timer, parallel interface. Input/output methods: polling, hardware/software interrupts.
Precludes additional credit for SYSC 2001, SYSC 2003 and SYSC 2320.
Prerequisite(s): SYSC 2006 and (SYSC 2310 or ELEC 2607).
Lectures three hours a week, laboratory three hours a week.
Computer Systems Development Project
Development of expertise in designing, implementing and testing industrial-quality embedded systems through team projects. Applying modern programming languages, system design practices, current development processes (refactoring, iterative and incremental development) as well as current team-management tools (communication, version control) to medium-scale projects.
Precludes additional credit for COMP 2404, SYSC 2010, SYSC 2101 (no longer offered), and SYSC 3110.
Prerequisite(s): SYSC 2100 and either SYSC 2003 or SYSC 3310 (may be taken concurrently), and enrolment in Computer Systems Engineering.
Lectures two hours a week, laboratory three hours a week.
Introduction to Software Engineering
Introduction to software engineering principles, software development life-cycles. Modelling in software engineering. Current techniques, notations, methods, processes and tools used in software engineering. UML modelling. Introduction to software quality, software verification and validation, software testing.
Precludes additional credit for SYSC 3100, SYSC 3120, SYSC 4120 and COMP 3004.
Prerequisite(s): SYSC 2004 and (SYSC 2006 or SYSC 2002).
Lectures three hours a week, laboratory three hours alternate weeks.
Programming Languages
Principles underlying different kinds of programming languages (procedural, functional, logic programming) and their semantics. Overview of machinery needed for language support (compilers, interpreters and run-time systems).
Precludes additional credit for COMP 3007.
Prerequisite(s): SYSC 2004.
Lectures three hours a week, laboratory three hours alternate weeks.
Software Development Project
Development of expertise in designing, implementing and testing maintainable, reusable software through team projects. Applying modern programming languages, design patterns, frameworks, UML and modern development processes (detection of olfactible source code defects, refactoring, iterative and incremental development, version control techniques) to medium-scale projects.
Precludes additional credit for COMP 2404, SYSC 2010, SYSC 2101 and SYSC 3010.
Prerequisite(s): SYSC 2004 and SYSC 2100, and enrolment in Software Engineering.
Lectures two hours a week, laboratory three hours a week.
Software Requirements Engineering
Current techniques, notations, methods, processes and tools used in Requirements Engineering. Requirements elicitation, negotiation, modeling requirements, management, validation. Skills needed for Requirements Engineering and the many disciplines on which it draws. Requirements analysis: domain modeling, modeling object interactions; UML modeling. Introduction to software development processes.
Precludes additional credit for SYSC 3020 and COMP 3004.
Prerequisite(s): SYSC 2004 and enrolment in Software Engineering.
Lectures three hours a week, laboratory three hours alternate weeks.
Industrial Engineering
Techniques of operations research for decision-making in complex engineering systems. Linear programming, network models, PERT, integer programming, dynamic programming, queuing systems and inventory models. Problem solving is emphasized.
Precludes additional credit for BUSI 2300, ECON 4004, or MATH 3801.
Prerequisite(s): MATH 1004 and MATH 1104, and second-year status in Engineering.
Lectures three hours a week, laboratory/problem analysis one and a half hours per week.
Bioelectrical Systems
Biomedical transducers, sensors, and biomedical actuators. Amplifier designs: inverting, noninverting, differential, and bioinstrumentation. Differentiators, integrators, and rectifiers. Oscillators and timers. Filter design. Sampling and quantization. Electrical machines. Electrical safety.
Prerequisite(s): MATH 1005 and (ELEC 2507 or ELEC 3605), and enrolment in Biomedical and Electrical Engineering or Biomedical and Mechanical Engineering, and second-year status in Engineering.
Lectures three hours a week, laboratory three hours a week.
Real-Time Concurrent Systems
Principles and practice of a systems engineering approach to the development of software for real-time, concurrent, distributed systems. Designing to achieve concurrency, performance, and robustness, using visual notations. Converting designs into programs. Introduction to hard real-time systems. Team project.
Prerequisite(s): For students in the Faculty of Engineering and Design: SYSC 2004 and SYSC 4001. For students in Computer Science: COMP 2401, COMP 2402, and COMP 3000.
Lectures three hours a week, laboratory two hours a week.
Introduction to Real-Time Systems
Principles of event-driven systems. Microcontroller organization. Development of embedded applications. Programming external interfaces, programmable timer. Input/output methods: polling, interrupts. Real-time issues: concurrency, mutual exclusion, buffering. Introduction to concurrent processes.
Precludes additional credit for SYSC 2003.
Prerequisite(s): SYSC 2006 with a minimum grade of C- and (SYSC 2320 or SYSC 3006).
Lectures three hours a week, laboratory two hours a week.
Computer Systems Design
System on Chip based computer system design, including internal organization, direct memory access, floating-point units, HDL and FPGAs. Interfacing and high-level systems design. Input/output interfaces, including serial communication protocols.
Precludes additional credit for SYSC 3601 and ELEC 4601.
Prerequisite(s): SYSC 3310 and third year status in Computer Systems Engineering, or permission of the Department.
Lectures three hours a week, laboratory three hours alternate weeks.
Signals and Systems
Signals: energy and power signals, discrete-time and continuous. Linear systems and convolution. Fourier Transform; complex Fourier series; signal spectral properties and bandwidth. Laplace transform and transient analysis. Transfer functions, block diagrams. Baseband and passband signals, with applications to communications systems.
Precludes additional credit for SYSC 3600 and SYSC 3610.
Prerequisite(s): MATH 1005 and enrolment in Communications Engineering, and second-year status in Engineering.
Lectures three hours a week, problem analysis three hours alternate weeks.
Communication Theory
Review of signals, linear systems and Fourier theory; signal bandwidth and spectra; digital waveform coding; introduction to analog and digital modulation systems; synchronization; characterization and effects of noise; link budgets; communications media and circuits; applications to current communications systems.
Precludes additional credit for SYSC 3503.
Prerequisite(s): SYSC 3600 or SYSC 3610.
Lectures three hours a week, laboratory three hours alternate weeks.
Communication Theory II
Amplitude Modulation. Frequency Modulation. Performance of AM and FM in noise. Communication channels, channel models, noise sources, noise models. Digital modulation: ASK, FSK, PSK. Optimal reception, probability of error on the AWGN channel.
Precludes additional credit for SYSC 3501 or SYSC 4600.
Prerequisite(s): SYSC 3500 and (STAT 2605 or SYSC 2510).
Lectures three hours a week, laboratory three hours alternate weeks.
Systems and Simulation
Properties of linear systems. Linear dynamic models of engineering systems. Applications of the Laplace transform. Transfer functions. Block diagrams. Frequency and time response. System simulation with digital computers.
Precludes additional credit for SYSC 3500 or SYSC 3610.
Prerequisite(s): MATH 1005 and second-year status in Engineering.
Lectures three hours a week, laboratory three hours a week.
Microprocessor Systems
Microprocessor-based system design for different microprocessor families. Microprocessors: internal organization, instruction sets, address generation, pin-outs, bus cycles, signalling waveforms. Interfacing memory and I/O devices. Interrupt structures, direct memory access. Floating point coprocessors. System bus standards. Introduction to DSPs.
Precludes additional credit for SYSC 3320 or ELEC 4601.
Prerequisite(s): ELEC 2607, and SYSC 2003 or permission of the department.
Lectures three hours a week, laboratory three hours alternate weeks.
Biomedical Systems, Modeling, and Control
Properties of linear systems. Linear dynamic models of biomedical systems. Biomedical application of the Laplace transforms. Transfer functions. Block diagram. Frequency and time response. Feedback, control, and stability. Biomedical systems modeling and control.
Precludes additional credit for SYSC 3500 or SYSC 3600.
Prerequisite(s): MATH 1005 and enrolment in Biomedical and Electrical Engineering or Biomedical and Mechanical Engineering, and second-year status in Engineering.
Lectures three hours a week, laboratory three hours a week.
Co-operative Work Term
Operating Systems
Introduction to operating system principles. Processes and threads. CPU scheduling. Managing concurrency: mutual exclusion and synchronization, deadlock and starvation. Managing memory and input/output. Concurrent programming, including interprocess communication in distributed systems.
Precludes additional credit for SYSC 3001 and COMP 3000.
Prerequisite(s): SYSC 2006 with a minimum grade of C-.
Lectures three hours a week, laboratory three hours a week.
Discrete Simulation/Modeling
Simulation as a problem solving tool. Random variable generation, general discrete simulation procedure: event table and statistical gathering. Analyses of simulation data: point and interval estimation. Confidence intervals. Overview of modeling, simulation, and problem solving using SIMSCRIPT, MODSIM, and other languages.
Prerequisite(s): (ECOR 2050 or SYSC 2510 or STAT 2605 or STAT 3502) and fourth-year status in Engineering, or permission of the Department.
Also offered at the graduate level, with different requirements, as SYSC 5001, for which additional credit is precluded.
Lectures three hours a week, laboratory one hour a week.
Introduction to Systems Programming
Introduction to C programming: Data types, flow control, functions, arrays, pointers, and arithmetic, logical and bitwise operators. Memory models, collections. Low-level I/O. Build pipeline (version control, make, preprocessing, compiling, linking) in Linux. Testing and debugging.
Prerequisite(s): Third-year status in Engineering, or enrollment in the M.Eng. Program in Electrical & Computer Engineering.
Lectures three hours a week.
Software Validation
Techniques for the systematic testing of software systems. Software validation and verification, software debugging, quality assurance, measurement and prediction of software reliability. Emphasis on the treatment of these topics in the context of real-time and distributed systems.
Precludes additional credit for COMP 4004.
Prerequisite(s): SYSC 3120 or SYSC 3020.
Lectures three hours a week, laboratory/problem analysis three hours a week.
Performance Engineering
Techniques based on measurements and models, for predicting and evaluating the performance of computer systems. Instrumentation. Simple queueing models and approximations. Techniques for modifying software designs to improve performance.
Prerequisite(s): (ECOR 2050 or STAT 3502) and SYSC 4001.
Also offered at the graduate level, with different requirements, as SYSC 5101, for which additional credit is precluded.
Lectures three hours a week, laboratory/problem analysis three hours alternate weeks.
The Software Economy and Project Management
Introduction to software project management and economics; Return on software investments; Software life cycle; Work breakdown structure, scheduling and planning; Risk analysis and management; Product size and cost estimation; Earn value management; Statistical process control; Managing project team and process improvement; Bidding and contract types.
Lectures three hours a week.
Formal Methods in Software Engineering
Introduction to formal methods in software engineering with coverage of propositional and first-order logic (syntax, semantics, proof theory), formal specification languages, bounded analysis and validation, formal specification tools, and model checking with finite-state machines, temporal logic, and model checking tools.
Software Architecture and Design
Introduction and importance of software architectures and software system design in software engineering. Current techniques, modeling notations, methods, processes and tools used in software architecture and system design. Software architectures, architectural patterns, design patterns, software qualities, software reuse.
Precludes additional credit for COMP 3004, SYSC 3020 and SYSC 4800 (no longer offered).
Prerequisite(s): SYSC 3120.
Lectures three hours a week, laboratory three hours alternate weeks.
Human Computer Interaction
User-centric design, evaluation, and implementation of interactive computing systems. Topics include: designing, prototyping, implementing, and evaluating user-facing systems and interfaces; data gathering, analysis, and interpretation; persuasive design; dark patterns; accessibility; design for security and privacy.
Prerequisite(s): SYSC 3020 or SYSC 3120.
Lectures three hours a week, problem analysis three hours alternate weeks.
Ethics, Research Methods and Standards for Biomedical Engineering
Ethical theories, ethical decision-making, biomedical research ethics: informed consent, confidentiality, privacy, research ethics boards; research methods: hypothesis formulation, data collection, sampling bias, experimental design, statistical literacy; regulations for design, manufacture, certification of medical devices; impact of technology and research (social, political, financial).
Prerequisite(s): ELEC 3605 or SYSC 3203.
Lectures three hours a week, problem analysis one and a half hours per week.
Clinical Engineering
Overview of the Canadian health care system; brief examples of other countries; clinical engineering and the management of technologies in industrialized and in developing countries; safety, reliability, quality assurance; introduction to biomedical sensor technologies; applications of telemedicine; impact of technology on health care.
Prerequisite(s): fourth-year status in Biomedical and Electrical or Biomedical and Mechanical Engineering.
Also offered at the graduate level, with different requirements, as BIOM 5406, for which additional credit is precluded.
Lectures three hours a week, problem analysis three hours alternate weeks.
Bioinstrumentation and Signals
Bioinstrumentation and biological signals; instrumentation systems, electrical safety, and biocompatibility; bioelectric signals; biopotential electrodes: material properties, selection; data acquisition; signal processing; biomedical imaging technologies; bioamplifier systems performance and characteristics; major physiological systems and associated measurements.
Prerequisite(s): SYSC 3610 and (ELEC 3605 or SYSC 3203) and fourth-year status in Biomedical and Electrical Engineering or fourth-year status in Biomedical and Mechanical Engineering.
Lectures three hours a week, laboratory/problem analysis three hours a week.
Image Processing for Medical Applications
Two-dimensional signals, filters, and Fourier transforms. Image acquisition, sampling, quantization and representation. Image perception. Digital and film cameras. Medical imaging technologies. Image processing operations: histogram, convolution, morphological, segmentation, registration. Image compression and formats.
Prerequisite(s): MATH 1005 and fourth-year status in Engineering.
Lectures three hours a week, laboratory/problem analysis three hours alternate weeks.
Surgical Robotics
Surgical robotic system architecture, forward and inverse kinematics of articulated robot arms, force and position control, unilateral and bilateral teleoperation of surgical robots, haptics and force feedback, instrumentation, image-guided surgery, design and implementation of robotic systems for minimally invasive surgery.
Prerequisite(s): SYSC 3600 or SYSC 3610, and fourth-year status in Engineering.
Lectures three hours a week, laboratory three hours a week.
Computer Systems Architecture
Evolution of computer systems architecture to improve performance, including memory hierarchy, hardware accelerators, and thread level parallelism. Advanced computer architecture topics such as instruction level parallelism, superscalar, out-of-order execution, speculative execution, multicore, many-core, heterogeneous systems, and virtualization.
Precludes additional credit for SYSC 4507.
Prerequisite(s): SYSC 3320, and enrolment in Computer Systems Engineering.
Lectures three hours a week, laboratory three hours alternate weeks.
Case Studies in Computer Systems
Examples of several modern computer systems are presented in a computer systems context: system objectives, software and hardware components, interactions. The case studies present computer systems trends emerging in practice.
Lectures three hours a week, problem analysis one hour a week.
Digital Signal Processing
Discrete time signal and system representation: time domain, z-transform, frequency domain. Sampling theorem. Digital filters: design, response, implementation, computer-aided design. Spectral analysis: the discrete Fourier transform and the FFT. Applications of digital signal processing.
Prerequisite(s): SYSC 3500 or SYSC 3600 or SYSC 3610.
Lectures three hours a week, laboratory three hours alternate weeks.
Introduction to Machine Learning
Introduction to supervised and unsupervised machine learning (ML), including deeper knowledge of several algorithms of each type. Evaluation and quantification of predictive performance of ML systems. Use of one or more ML development environments.
Prerequisite(s): (ECOR 2050 or STAT 3502 or STAT 2605 or SYSC 2510), SYSC 2006 (with a minimum grade of C-), and third-year status in Engineering.
Lectures three hours a week, problem analysis one hour a week.
Communications Software
Communications software architectures, protocols and operating systems. Application layer protocols, APIs and socket programming. P2P algorithms, network virtualization, SDN. Reliable data transfer algorithms, FSM, MSC. Network security. Multimedia applications, RTSP, CDN, DASH, RTP, RTCP. Packet scheduling algorithms, DiffServ, IntServ, RSVP. Traffic classification, cross-layer optimization.
Prerequisite(s): SYSC 2006 with a minimum grade of C-, and SYSC 4602.
Lectures three hours a week, problem analysis three hours alternate weeks.
Fundamentals of Web Development
WWW architecture, web servers and browsers, core protocols. Web pages, their structure, interpretation and internal representation. Client-side and server-side programming. Data representation. Interfacing with databases and other server-side services. Cookies, state management, and privacy issues. Security. Web services.
Precludes additional credit for COMP 2406.
Prerequisite(s): SYSC 2004. Additional recommended background: SYSC 4602 or SYSC 3303.
Lectures three hours a week, laboratory three hours alternate weeks.
Automatic Control Systems I
Review of Laplace transform techniques. Effects of feedback: frequency response, pole-zero positions. Compensation: root locus, Bode plots. State variables: formulation, solution of linear systems, examples of simple second-order non-linear systems. Discrete time systems: z-transforms. Signal reconstruction.
Precludes additional credit for MAAE 3500, MAAE 4500 (no longer offered).
Prerequisite(s): MATH 2004 and (SYSC 3500 or SYSC 3600 or SYSC 3610).
Lectures three hours a week, laboratory three hours alternate weeks.
Computer Systems Architecture
Evolution of computer systems architecture, influences of changing technology, techniques to improve performance, memory hierarchy, hardware accelerators. Instruction level parallelism, pipelining, vector processing, superscalar, out of order execution, speculative execution. Thread level parallelism, multi-core, many-core, heterogeneous systems. Evolution of architectures for specific application domains.
Precludes additional credit for SYSC 4310.
Prerequisite(s): ELEC 2607 and (SYSC 2001 or SYSC 3006).
Lectures three hours a week, laboratory/problem analysis one hour a week.
Digital Communications
Probability theory, signal representation. Baseband data transmission: Nyquist criterion, optimal receiver, error probability. Digital modulation, performance. Synchronization. Introduction to information theory. Error detection and correction. OFDM. Applications to current digital wired and wireless communications systems.
Precludes additional credit for SYSC 3503 and SYSC 4604.
Prerequisite(s): SYSC 3501 and ECOR 2050.
Lectures three hours a week, laboratory three hours alternate weeks.
Computer Communications
Layered network architectures, TCP/IP suite, circuit switching, packet switching. Physical media, data transmission, multiplexing. Data link controls, MAC protocols, random access, polling, IEEE 802 standards. Bridges, switched Ethernet, VLANs. Routing algorithms, Internet routing protocols, datagram networks, virtual circuit networks. Transport protocols.
Precludes additional credit for COMP 3203.
Prerequisite(s): ECOR 2050 or SYSC 2510 or STAT 2605 or STAT 3502 (may be taken concurrently), and third-year status in Biomedical and Electrical, Electrical, Communications, Computer Systems, Software, or Sustainable and Renewable Energy Engineering.
Lectures three hours a week, laboratory three hours alternate weeks.
Digital Communication Theory
Introduction to information theory, source coding and data compression, Error control coding, Trellis coded modulation, advanced topics of current interest: spread spectrum; digital wireless communications.
Precludes additional credit for SYSC 4600.
Prerequisite(s): SYSC 3503.
Lectures three hours a week, laboratory three hours alternate weeks.
Wireless Communications
Wireless radio channel characterization, diversity, equalization; cellular architecture, multiple access principles, spread spectrum systems, radio resource management; examples from modern wireless systems, networks, and standards, including cellular networks, WLANs, ad hoc networks, and satellite systems.
Prerequisite(s): SYSC 3501 or SYSC 3503.
Lectures three hours a week, laboratory three hours alternate weeks.
Topics in Communications Networks
Contemporary and emerging topics in communications networks and technologies. Communications as a national and international infrastructure. Systems view of network architecture and management: transmission, access, interference, routing, softwarization, virtualization, security. Regulations and standards. Examples include cellular 5G/6G, Wi-Fi, terrestrial, optical, aerial, and satellite networks.
Prerequisite(s): Fourth-year status in Electrical, Computer Systems or Communications Engineering, and (SYSC 3501 or SYSC 3503).
Lectures three hours a week, laboratory/problem analysis three hours alternate weeks.
Communications Systems Lab
Project-oriented level experience in the design of communication systems to meet user requirements. Lectures on teletraffic analysis; system specification and design: requirements analysis, solution alternatives, evaluation of alternative technologies, design, costing, implementation, test.
Prerequisite(s): SYSC 4602 and Fourth-year status in Communications Engineering or permission of the department.
Lectures two hours a week, laboratory four hours a week.
Computer Systems Design Lab
Project-oriented experience in the design of embedded computer systems. Lectures will discuss practical aspects related to the design and development of embedded systems, starting from sensor data acquisition and processing to decision systems, testing and embedded-system based project management, with practical application examples.
Prerequisite(s): SYSC 3320 or SYSC 3601, and enrolment in Computer Systems Engineering.
Lectures two hours a week, laboratory four hours a week.
Software Engineering Lab
Applying the full spectrum of engineering and programming knowledge acquired in the program through team projects in the laboratory. Practice in doing presentations and reviews. Lectures will discuss software engineering issues as they relate to the projects, from a mature point of view.
Prerequisite(s): COMP 3005, SYSC 3110, and enrolment in Software Engineering, or permission of the department.
Lectures two hours a week, laboratory four hours a week.
Introduction to Network and Software Security
Fundamental concepts, terminologies, and theories of computer security; principles underlying common security controls; various types of threats and attacks on networks and software systems, how they work, and controls for dealing with them; security risk assessment and management; legal and ethical aspects of computer security.
Precludes additional credit for COMP 4108.
Prerequisite(s): fourth-year status in Communications, Computer Systems or Software Engineering.
Lectures three hours a week, problem analysis one and a half hours a week.
Special Topics
At the discretion of the Department, a course dealing with selected advanced topics of interest to students in Biomedical and Electrical, Communications, Computer Systems, Electrical, Software Engineering, and Engineering Physics may be offered.
Engineering Project
Student teams develop professional-level experience by applying previously acquired knowledge to a major design project. Lectures discuss project-related issues and student presentations. A project proposal, interim report, oral presentations, and a comprehensive final report are required.
Prerequisite(s): Fourth-year status in Engineering. Certain projects may have additional prerequisites.
Undergraduate Directed Study
Study, analysis, and solution of an engineering problem. Results presented in the form of a written report. Carried out under the close supervision of a faculty member. Intended for students interested in pursuing independent studies. Requires supervising faculty member and proposal from student.
Prerequisite(s): Permission of the department and completion of, or concurrent registration in, one of SYSC 4907, ELEC 4907, or ECOR 4907.
Directed study.
Note: Not all courses listed are offered in a given year. For an up-to-date statement of course offerings for the current session and to determine the term of offering, consult the class schedule at central.carleton.ca.
Summer session: some of the courses listed in this Calendar are offered during the summer. Hours and scheduling for summer session courses will differ significantly from those reported in the fall/winter Calendar. To determine the scheduling and hours for summer session classes, consult the class schedule at central.carleton.ca