Systems and Computer Engineering (SYSC) Courses
Systems and Computer Eng.
Faculty of Engineering & Design
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
A first course in 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, for example, digital image manipulation; computer games; and robotics.
Lectures two hours a week, tutorial one hour 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.
Lectures three hours a week, laboratory two hours a week.
Data Structures and Algorithms
In-depth experience in the design and construction of computer programs involving data structures and different programming paradigms. Data structures, formal specification, abstract data types, graphs, recursion, finite state machines and object-oriented programming.
Prerequisite(s): ECOR 1606.
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.
Prerequisite(s): SYSC 2001 and (SYSC 2002 or 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.
Prerequisite(s): SYSC 2002 or SYSC 2006 or permission of the department.
Lectures three hours a week, laboratory two hours a week.
Foundations of Imperative Programming
Modular programming with a procedural language. Compilation and linking, libraries. Memory management and object lifetimes: static allocation, automatic allocation in stack frames, dynamic allocation from the heap. Introduction to data structures: dynamic arrays, linked lists. Collections: lists, stacks, queues. Introduction to recursion.
Prerequisite(s): ECOR 1606 or SYSC 1005.
Lectures three hours a week, laboratory two 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.
Prerequisite(s): (SYSC 1102 or SYSC 2006) and (SYSC 1101 or SYSC 2004).
Lectures three hours a week, laboratory two hours a week.
Software Development Project
Development of expertise in designing, implementing, and testing industrial-quality, reusable code through individual and team projects. Applying and extending previously acquired knowledge of patterns, frameworks, UML, iterative and incremental development, Java and C++ to medium- and large-scale systems.
Operating Systems & Databases
Operating systems and databases treated from a common perspective. Management of CPU, processes, memory, files, and data. Implications of concurrency. Concurrent programming, including interprocess communication in distributed systems. Data models and query languages.
Prerequisite(s): (SYSC 2002 or SYSC 2100), and SYSC 2003.
Lectures three hours a week, laboratory/problem analysis two hours a week.
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.
Prerequisite(s): (SYSC 2002 or SYSC 2006) and ELEC 2607.
Lectures three hours a week, laboratory two hours a week.
Computer Systems 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 (refactoring, iterative and incremental development, version control techniques) to medium-scale projects; for example, embedded or mobile applications.
Prerequisite(s): SYSC 2004 and SYSC 2100, and third-year status 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.
Prerequisite(s): SYSC 2004 and SYSC 2006.
Lectures three hours a week, laboratory three hours alternate weeks.
Systems Analysis and Design
Creating requirements specifications prior to designing and implementing complex software systems. Software development lifecycles, role of requirements analysis; functional decomposition, dataflow modeling; database modeling, entity-relationship diagrams; finite state machines; object-oriented analysis; use cases, use case maps; project management; introduction to software design.
Prerequisite(s): SYSC 2004 or SYSC 2100.
Lectures three hours a week, laboratory/problem analysis two hours a week.
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).
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.
Prerequisite(s): SYSC 2004 and SYSC 2100, and third-year status 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, modelling requirements, management, validation. Skills needed for Requirements Engineering and the many disciplines on which it draws. Requirements analysis: domain modelling, modelling object interactions; UML modelling. Introduction to software development processes.
Prerequisite(s): SYSC 2004 and SYSC 2100 and third-year status in Software Engineering.
Lectures three hours a week, laboratory two hours a week.
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.
Prerequisite(s): MATH 1004 and MATH 1104 and (ECOR 1606 or SYSC 1100).
Lectures three hours a week, laboratory/problem analysis 1.5 hours per 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.
Lectures three hours a week, laboratory two hours a week.
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.
Prerequisite(s): MATH 2004.
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.
Prerequisite(s): MATH 3705 and SYSC 3600.
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.
Prerequisite(s): (SYSC 2500 or SYSC 3500) and STAT 2605.
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.
Prerequisite(s): MATH 1005, and (ECOR 1101 or PHYS 1001).
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.
Prerequisite(s): ELEC 2607, and SYSC 2003 or permission of the department.
Lectures three hours a week, laboratory three hours alternate weeks.
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.
Prerequisite(s): (SYSC 2002 or SYSC 2100) and (SYSC 2003 or SYSC 3006).
Lectures three hours a week, laboratory /problem analysis two 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.
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.
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.
Lectures three hours a week, laboratory/problem analysis three hours alternate weeks.
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.
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.
Engineering Management
Introduction to engineering management: management of new products, management of manufacturing processes, management of the linkages between new products and manufacturing processes. Current theories, concepts and techniques are stressed, using a combination of readings, cases and guest speakers.
Lectures three hours a week.
Software Product Management
Stages of the life cycle of software products and their implications for architecture definition, requirements specification, variety, target market segmentation, adoption, roll-out plans, documentation, maintenance, skills, building prototypes, testing, feature prioritization, quality and tools infrastructures.
Lectures three hours a week, laboratory/problem analysis two hours a week.
Software Business
Establishing and growing businesses anchored on software design and development. Models for software business; partnerships with suppliers and customers; distribution; raising money; intellectual property protection; evolving core products and sources of competitive advantage; alignment among the business model, infrastructures, and software development.
Lectures three hours a week.
Modelling Software Design
Importance of modelling software design. Software design in software engineering. Current techniques, notations, methods, processes and tools used in software design. Software system design, object design, design patterns; UML modelling. Quality assurance of designs. Modelling state-based behaviour.
Prerequisite(s): SYSC 3120.
Lectures three hours a week, laboratory three hours alternate weeks.
Ethics, Research Methods and Standards for Biomedical Engineering
Ethical theories, ethical decision-making, codes; human and animal experimentation, consent, practices of ethical review boards; research methods and regulations for design, manufacture, certification of medical devices; data collection, management, analysis, including security, confidentiality, privacy; bioethical dilemmas, impact of technology and research (social, political, financial).
Lectures three hours a week, problem analysis three hours alternate weeks.
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.
Lectures three hours a week, problem analysis three hours alternate weeks.
Bioinstrumentation and Signals
Bioinstrumentation and biological signals; instrumentation systems, noise, and electrical safety; bioelectric signals; biomagnetic signals; measurement of flow and pressure; data acquisition; signal processing; biomedical imaging technologies; amplifier design for biosensors; major physiological systems and associated measurements.
Lectures three hours a week, laboratory/problem analysis three hours alternate weeks.
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.
Lectures three hours a week, laboratory/problem analysis three hours alternate weeks.
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.
Lectures three hours a week, laboratory three hours alternate weeks.
Communications Software
Layered communication software models and Internet protocols. FSM, EFSM, and MSC. APIs and socket programming. Routing algorithms and data structures. Packet scheduling algorithms and real-time operating systems. Layer integration and implementation issues.
Prerequisite(s): SYSC 4602 and (SYSC 2004 or SYSC 2100), and fourth year status in Electrical Engineering, Computer Systems Engineering, or Software Engineering, or third year status in Communications Engineering.
Lectures three hours a week, problem analysis three hours alternate weeks.
Distributed Network Processing
Software aspects of distributed networks. Client-server systems. Internet and the WWW. LAN's and WAN's, routing protocols. Transportable software, Java applets. Use of modern software tools in communication network monitoring and analysis. Network management.
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.
Prerequisite(s): MATH 2004 and (SYSC 2500 or SYSC 3500 or SYSC 3600).
Lectures three hours a week, laboratory three hours alternate weeks.
Computer Systems Architecture
History of computers: evolution of concepts, influence of technology, techniques to increase performance. Detailed analysis and design of ALUs, control units, memory systems. Multiprocessor systems, pipeline and array processing. Scalable, superscalar, RISC, CISC, fault tolerant, and digital signal processing architectures.
Lectures three hours a week, laboratory/problem analysis one hour a week.
Digital Communications
Review of probability, random variables, signal representation. Baseband data transmission: Nyquist criterion, equalization, optimal receiver, error probability. Digital modulation, performance. Synchronization. Introduction to information theory. Error detection and correction. Spread spectrum. Applications to current digital wired and wireless communications systems.
Prerequisite(s): SYSC 3501 and STAT 3502.
Lectures three hours a week, laboratory three hours alternate weeks.
Computer Communications
Layered protocol architectures, OSI. Physical media, physical layer interfaces, data transmission. Data-link protocols, multiplexing, polling. LANs, IEEE 802 standards, performance. Switched Ethernets, FDDI, bridges. Wide area networks, packet-switching networks, X.25. Frame relay, internetworking, DoD protocols, TCP, UDP. ATM LANs, adaptation layers, traffic issues.
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.
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.
Lectures three hours a week, laboratory three hours alternate weeks.
Telecommunications Engineering
Telecommunications as a national and international infrastructure. Systems view of network architecture: transmission, access, switching, multiplexing, signalling, and teletraffic. Network planning, management, security and control. Role of government, regulation and competition. Current telecommunications network evolution.
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 queuing theory and teletraffic analysis; system specification and design: requirements analysis, solution alternatives, evaluation of alternative technologies, design, costing, implementation, test.
Lectures two hours a week, laboratory four hours a week.
Software Engineering
Review of software lifecycles and requirements analysis. Software design, with emphasis on methods for real-time systems. Testing, verification and validation, quality assurance and control. Project planning and management. Maintenance and configuration management. Software reuse during design and maintenance.
Lectures three hours a week, laboratory three hours alternate weeks.
Computer Systems Design Lab
Developing professional-level expertise in selected, important areas of the field by applying, honing, integrating, and extending previously acquired knowledge in team projects in the laboratory. Lecture periods are devoted to new knowledge required for the selected areas, to project-related issues, and to student presentations.
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.
Lectures two hours a week, laboratory four 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.
Lecture one hour a week, laboratory seven hours a week.
Biomedical Engineering Project
Student teams develop professional-level experience by applying previously acquired knowledge to a major design project in biomedical engineering. Lectures discuss project-related issues and student presentations. A project proposal, interim report, oral presentations, and a comprehensive final report are required.
Lecture one hour a week, laboratory seven hours a week.
Software Engineering Project
Student teams gain professional-level experience by applying and extending previously acquired knowledge in a major design project in software engineering. Lectures discuss project-related issues and student presentations. A project proposal, interim report, oral presentations, and a comprehensive final report are required.
Lecture one hour a week, laboratory seven hours a week.
Communications Engineering Project
Student teams gain professional-level experience by applying and extending previously acquired knowledge in a major design project in communications engineering. Lectures discuss project-related issues and student presentations. A project proposal, interim report, oral presentations, and a comprehensive final report are required.
Lecture one hour a week, laboratory seven hours a week.
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
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