Instructor I – Systems and Computer Engineering
The Department of Systems and Computer Engineering invites applications from qualified candidates for a preliminary appointment in Computer Systems Engineering at the rank of Instructor I, beginning July 1, 2021. See details.
Contract Instructor Positions for Fall 2021
Deadline to apply for these positions is May 24, 2021
- SYSC 3020 [0.5 credit] 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. The University may require that all or part of this course be delivered remotely, including online. - SYSC 3500 [0.5 credit] 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. The University may require that all or part of this course be delivered remotely, including online. - SYSC 3600 [0.5 credit] 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. The University may require that all or part of this course be delivered remotely, including online. Candidate must be a Licensed Professional Engineer (P.Eng.). - SYSC 4405 [0.5 credit] 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. The University may require that all or part of this course be delivered remotely, including online. Candidate must be a Licensed Professional Engineer (P.Eng.). - SYSC 4600 [0.5 credit] 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. The University may require that all or part of this course be delivered remotely, including online. - SYSC 4604 [0.5 credit] 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. The University may require that all or part of this course be delivered remotely, including online. Candidate must be a Licensed Professional Engineer (P.Eng.). - SYSC 5307 (ELG 6307) Biological Signals
Modeling of neuromuscular biological signals, including subthreshold phenomena, active behaviour of cell membranes, and innervation processes. Measurement of biological signals, including electrode effects. Time domain, frequency domain, and adaptive filtering techniques for noise reduction. Cross-listed with BIOM 5101 (BMG 5104). The University may require that all or part of this course be delivered remotely, including online. - SYSC 5902 [0.5 credit] Research Methods for Engineers
Topics required to perform engineering research including literature surveys, identifying issues, objectives, and methodology. Technical writing, documenting and presenting engineering ideas and a review of statistics, simulation, optimization and data analysis. The University may require that all or part of this course be delivered remotely, including online.
Contract Instructor Positions for Winter 2022
Deadline to apply for these positions is May 24, 2021
- ECOR 4995 [0.5 credit] Professional Practice
Presentations by faculty and external lecturers on the Professional Engineers Act, professional ethics and responsibilities, practice within the discipline and its relationship with other disciplines and to society, health and safety, environmental stewardship, principles and practice of sustainable development. Communication skills are emphasized. The University may require that all or part of this course be delivered remotely, including online. Candidate must be a Licensed Professional Engineer (P.Eng.). - SYSC 2010 [0.5 credit] 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. The University may require that all or part of this course be delivered remotely, including online. Candidate must be a Licensed Professional Engineer (P.Eng.). - SYSC 2310 [0.5 credit] 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. The University may require that all or part of this course be delivered remotely, including online. Candidate must be a Licensed Professional Engineer (P.Eng.). - SYSC 3200 [0.5 credit] 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. The University may require that all or part of this course be delivered remotely, including online. Candidate must be a Licensed Professional Engineer (P.Eng.). - SYSC 4001 [0.5 credit] 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. The University may require that all or part of this course be delivered remotely, including online. Candidate must be a Licensed Professional Engineer (P.Eng.). - SYSC 4202 [0.5 credit] 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. Cross-listed with BIOM 5406. The University may require that all or part of this course be delivered remotely, including online. Candidate should be a practicing clinical engineer. - SYSC 4806 [0.5 credit] 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. The University may require that all or part of this course be delivered remotely, including online. Candidate must be a Licensed Professional Engineer (P.Eng.). - SYSC 5902 [0.5 credit] Research Methods for Engineers
Topics required to perform engineering research including literature surveys, identifying issues, objectives, and methodology. Technical writing, documenting and presenting engineering ideas and a review of statistics, simulation, optimization and data analysis. The University may require that all or part of this course be delivered remotely, including online. - SYSC 5804 [0.5 credit] Advanced Topics in Communications Systems: 5G Networks
Principles enabling 5G communications; physical, link and network layer protocols used for 5G communications and networking. Topics include: evolution from 1G to 5G, standardization, spectrum planning, 4G LTE Fundamentals, 5G New Radio enhancements, 5G Core and beyond 5G. Cross-listed with COMP5900/ITEC5910. The University may require that all or part of this course be delivered remotely, including online.
Additional Contract Instructor Positions for Winter 2022
Deadline to apply for these positions is June 6, 2021
- SYSC 4106 [0.5 credit] 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. The University may require that all or part of this course be delivered remotely, including online. - SYSC 4906 [0.5 credit] Special Topics: Introduction to Data Science
The course provides a wide overview of the main concepts in data science for beginners. It introduces a set of preliminary tools and techniques to perform data science tasks. Topics include formulating research questions, data properties, data munging, data analysis techniques, data visualization, software engineering principles and concepts in the context of data science, and data science ethics. The University may require that all or part of this course be delivered remotely, including online.
Qualifications and application rules for contract instructor positions:
- Required Academic Qualifications and Skills: Candidates should hold a Masters or Ph.D. in the area of Electrical Engineering or the equivalent.
- Required Professional Qualifications and Skills: Candidates should be a Licensed Professional Engineer (P.Eng.).
- Teaching Competence: Candidates are required to have experience teaching
Note: as per Articles 16.3 and 16.4 in the CUPE 4600-2 Collective Agreement, the posted vacancies listed above are first offered to applicants meeting the incumbency criterion. A link to the current CUPE 4600-2 Collective Agreement can be found at the Employment Agreements webpage on the Carleton University Human Resources website http://carleton.ca/hr/collective-agreements/ and the CUPE 4600-2 website http://4600.cupe.ca/.
How to apply:
Contract Instructor Positions,
Department of Systems and Computer Engineering
Carleton University
1125 Colonel by Drive, 400 Paterson Hall
Ottawa, ON. K1S 5B6
email: jenna@sce.carleton.ca
As per Article 15.3 of the current CUPE 4600 Unit 2 Collective Agreement, applicants are required to submit an up to date CV, including a complete listing of all courses taught within the CUPE 4600 Unit 2 bargaining unit at Carleton University. Candidates who have already contacted the department and submitted a CV recently need only indicate their interest in particular courses. NOTE that when applying to classes for which they have incumbency, applicants shall not be required to (re)submit documentation beyond their updated CV.