Course Listing

Sets, functions, relations, trees and graphs; counting principles, modular arithmetic, discrete probabilities; induction and recursion, recurrence relations.
Three lectures, one tutorial (two hours), second term
Prerequisite(s): MATH 1B03 or MATH 1ZC3 or registration in the Honours Computer Science as a Second Degree (B.A.Sc.)
Antirequisite(s): COMPSCI 1FC3, 2DM3, SFWRENG 2DM3, 2E03, 2F03

Exploration of thinking that is inspired, supported, and enabled by computing. Survey of the salient ideas, methods, and technologies in the major areas of computing including basic data types, logic, operating systems, computer networking, web computing, information security, digital media, software development, and problem solving techniques. Introduction to the fundamentals of functional programming.
Three lectures, one tutorial (two hours), first term
Prerequisite(s): One of MATH 1K03, Grade 12 Advanced Functions and Introductory Calculus U, Grade 12 Calculus and Vectors, or registration in Computer Science 1

Introduction to fundamental programming concepts: values and types, expressions and evaluation, control flow constructs and exceptions, recursion, input/output and file processing.
Three lectures, one tutorial (one hour); first term
Prerequisite(s): One of MATH 1K03, 1LS3, Grade 12 Advanced Functions and Introductory Calculus U, Grade 12 Calculus and Vectors
Antirequisite(s): ENGINEER 1D04, MATH 1MP3

Organization of microcomputers (hardware and operating systems) and overview of computer communications; introduction to information exchange using word processing/ presentation software, the Internet and Web pages; problem solving using electronic spreadsheets and database applications.
Three lectures, one tutorial; one term
Antirequisite(s): COMPSCI 1BA3, COMPSCI 1MD3, 1SA3, ENGINEER 1D04, MMEDIA 1A03
Not open to students with credit or registration in COMPSCI 1MA3, 1MC3, HUMAN 2E03.

Acquiring familiarity with professional software development settings via practical experience with interaction with UNIX-like systems, programming in C, with documentation, testing, benchmarking, profiling and debugging; shell interaction and programming, pipes and filters; revision control.
Two lectures, two labs (two hours each); second term
Prerequisite(s): One of COMPSCI 1MD3 or ENGINEER 1D04
Antirequisite(s): COMPENG 2SH4, COMPSCI 1XA3, 2XA3, 2S03, SFWRENG 2MP3, 2S03, 2XA3

Introduction to different aspects of design: Identifying user needs, goals and desires and translating them into software, and structuring and communicating the structure of software to improve reliability, readability and adaptability. Topics include web languages and protocols, types and design patterns.
Two lectures, two labs (two hours each); second term
Prerequisite(s): COMPSCI 1JC3 and 1MD3
Antirequisite(s): COMPSCI 1XA3

Basic data structures: stacks, queues, hash tables, and binary trees; searching and sorting; graph representations and algorithms, including minimum spanning trees, traversals, shortest paths; introduction to algorithmic design strategies; correctness and performance analysis.
Three lectures, one tutorial (one hour); second term
Prerequisite(s): COMPSCI 1DM3 or 2DM3; COMPSCI 1XC3 or 1XD3 or 1MD3
Antirequisite(s): SFWRENG 2C03
Effective 2021-2022, this course will be offered in first term.

Functions, relations and sets; the language of predicate logic, propositional logic; proof techniques, counting principles; induction and recursion, discrete probabilities, graphs, and their application to computing.
Three lectures, one tutorial (one hour); first term
Prerequisite(s): MATH 1ZC3 or MATH 1B03 or registration in the Honours Computer Science as a Second Degree Program
Antirequisite(s): COMPSCI 1FC3, SFWRENG 2DM3
Last offered 2020-2021.

Predicate logic and formal proofs, grammars and automata, modular arithmetic, and their applications to computing.
Three lectures, one tutorial (one hour); second term
Prerequisite(s): COMPSCI 1FC3 or 2DM3
Antirequisite(s): SFWRENG 2FA3
Last offered 2020-2021.

Introduction to logic gates, computer arithmetic, instruction-set architecture, assembly programming, translation of high-level languages into assembly. Computer system organization: datapath and control, pipelining, memory hierarchies, I/O systems; measures of performance.
Three lectures, one tutorial, (one hour); first term
Prerequisite(s): COMPSCI 1MD3 or ENGINEER 1D04 or IBEHS 1P10
Prerequisite(s) (EFFECTIVE 2021-2022): COMPSCI 1XC3 and 1DM3
Antirequisite(s): COMPENG 3DR4, 4DM4, SFWRENG 2GA3, 3GA3

Classes and inheritance, class invariants, interface specifications; object-oriented design patterns; exception handling; tools for interface documentation, testing, program analysis; requirements documentation; quality attributes; development models.
Three lectures one tutorial (two hours); second term
Prerequisite(s): COMPSCI 2DM3, 2S03
Prerequisite(s) (EFFECTIVE 2021-2022): COMPSCI 1XC3 and 1XD3
Co-requisite(s) (EFFECTIVE 2021-2022): COMPSCI 2LC3
Antirequisite(s): SFWRENG 2AA4, SFWRENG 3K04, MECHTRON 3K04
Effective 2021-2022, this course will be offered in first term.

Fundamental concepts of programming: expressions, statements, procedures, control structures, iteration, recursion, exceptions; precise memory model of traditional imperative programming languages; basic data structures: records, arrays, dynamic structures; use of libraries.
Three lectures, one tutorial (one hour); first term
Prerequisite(s): COMPSCI 1MD3 or ENGINEER 1D04 or MATH 1MP3 or IBEHS 1P10
Antirequisite(s): COMPENG 2SH4, 2SC3, SFWRENG 2MP3, 2S03
Last offered 2020-2021.

Unix and shell programming, makefiles, version control; assembly basics, translating high-level language into assembly, parameter passing, arrays, recursion; compiling, debugging, profiling, and software optimizations.
Two lectures, one lab (three hours per week), first term
Prerequisite(s): COMPSCI 1MD3 or ENGINEER 1D04 or IBEHS 1P10
Co-requisite(s): COMPSCI 2S03
Antirequisite(s): SFWRENG 2XA3
Last offered 2020-2021.

Open-ended design of computational solutions to practical problems that involve both theoretical (algorithmic) analysis and implementation; solving computational problems through an experiential approach.
Two lectures, one lab (three hours), second term
Prerequisite(s): COMPSCI 2S03, COMPSCI 2XA3
Co-requisite(s): COMPSCI 2C03, 2ME3
Antirequisite(s): SFWRENG 2XB3
Last offered 2020-2021.

Basic computability models; the Church-Turing thesis, complexity classes; P versus NP; NP-completeness, reduction techniques; algorithmic design strategies; flows, distributed algorithms, advanced techniques such as randomization.
Three lectures, one tutorial (one hour), second term
Prerequisite(s): COMPSCI 2C03 or SFWRENG 2C03, COMPSCI 2AC3 or 2FA3 or SFWRENG 2FA3

Data modelling, integrity constraints, principles and design of relational databases, relational algebra, SQL, query processing, transactions, concurrency control, recovery, security and data storage.
Three lectures, one tutorial (one hour); first term
Prerequisite(s): COMPSCI 1FC3 or COMPSCI 2DM3
Antirequisite(s): COMPSCI 4DB3, SFWRENG 3DB3, 3H03, 4M03, 4DB3
Last offered 2021-2022.

This course introduces the core techniques in Big Data analytics, also known as knowledge discovery and data mining. Topics covered by this course include: frequent pattern mining, classification and clustering. Assignments and mini programming projects will be used to enhance and evaluate the learning performance of students.

3 lectures, 1 tutorial (1hour)

PREREQUISITE(S):
- One of COMPSCI 2DB3, COMPSCI 3DB3, SFWRENG 3DB3;
- One of COMPSCI 2C03, SFWRENG 2C03 SFWRENG 2MD3, MECHTRON 2MD3;
- One of COMPSCI 2ME3, SFWRENG 2AA4, SFWRENG 3K04, MECHTRON 3K04;
- One of STATS 1L03, STATS 2D03, STATS 3Y03.

Formal specifications in software and system development; validation; verification; presentation of information; practical
experience in formal specification and tool-supported verification.
Three lectures; one tutorial (one hour); one term
Prerequisite(s): COMPSCI 2LC3 or 2DM3, 2AC3 or 2FA3, 2ME3, 2SD3 or 3SD3
Offered on an irregular basis.

Functional programming; lists and algebraic data types, pattern matching, parametric polymorphism, higher-order functions, reasoning about programs; lazy and strict evaluation; programming with monads; domain-specific languages.
Three lectures, one tutorial; one term
Prerequisite(s): COMPSCI 2DM3 or 2LC3, 2FA3 or 2AC3
Antirequisite(s): SFWRENG 3FP3
Offered on an irregular basis.

Mathematical foundations, the graphics pipeline, geometrical transformations, 3D visualization, clipping, illumination and shading models and the impact of graphics on society.
Three lectures, one tutorial (two hours every other week); one term
Prerequisite(s): MATH 1B03 or 1ZC3, and COMPSCI 2C03
Antirequisite(s): SFWRENG 3GC3
Offered on an irregular basis.

Oral and written presentation skills; types and structure of technical documents; software documentation for the user; formulating and presenting proposals.
Three hours (lectures, discussion, group project, seminars); first term
Prerequisite(s): Registration in Level II or above of Honours Computer Science or Honours Business Informatics
Antirequisite(s): COMPSCI 2CS3, 2I03, SFWRENG 3I03
Cross-list(s): SFWRENG 3I03
Not open to students with credit or registration in ISCI 1A24 A/B.

Basic principles of information security; threats and defences; cryptography; introduction to network security and security management.
Three lectures; one term
Prerequisite(s): COMPSCI 2AC3 or 2FA3 or SFWRENG 2FA3, and COMPSCI 2C03 or SFWRENG 2C03
Offered on an irregular basis.

Principles of definition of and reasoning about programming languages and domain-specific languages; use of semantics for interpretation and in program analyses for correctness, security and efficiency.
Three lectures; one tutorial (one hour); first term
Prerequisite(s): COMPSCI 2C03, and COMPSCI 2LC3 or 2DM3, and COMPSCI 2AC3 or 2FA3, and COMPSCI 2ME3

Software requirements gathering. Critical systems requirements gathering. Security requirements. Traceability of requirements. Verification, validation, and documentation techniques. Software requirements quality attributes. Security policies. Measures for data confidentiality. Design principles that enhance security. Access control mechanisms.
Three lectures, one tutorial (one hour); first term
Prerequisite(s): COMPSCI 2AC3 or 2FA3, COMPSCI 2ME3
Antirequisite(s): SFWRENG 3RA3
Cross-list(s): SFWRENG 3RA3

Models of concurrency: process algebras, Petri nets, temporal logics and model checking; concurrency as software structuring principle: processes, threads, synchronization mechanisms, resource management and sharing; deadlock, safety and liveness; design, verification and testing of concurrent systems.
Three lectures, one tutorial (two hours); first term
Prerequisite(s): COMPSCI 2C03, 2FA3, 2ME3
Antirequisite(s): SFWRENG 3BB4
Last offered 2021-2022.

Processes and threads, synchronization and communication; scheduling, memory management; file systems; resource protection; structure of operating systems.
Two lectures, one tutorial, two labs (one hour each); second term
Prerequisite(s): COMPSCI 2SD3 or 3SD3, COMPSCI 2C03, and COMPSCI 2GA3
Antirequisite(s): SFWRENG 3SH3
Effective 2021-2022, this course will be offered in first term.

Advanced topics in database systems technology and design. Topics include: query processing; query optimization; data storage; indexing; crash recovery; physical database design; introductory data mining techniques.
Three lectures, one tutorial; one term
Prerequisite(s): COMPSCI 3DB3
Antirequisite(s): SFWRENG 4AD3
Cross-list(s): SFWRENG 4AD3
Offered on an irregular basis.

Software architecture concepts; architectural styles; design patterns, components, libraries, configurations; modelling languages; software re-engineering.
Three lectures; one term
Prerequisite(s): Credit or registration in COMPSCI 3RA3 or 3SR3
Offered on an irregular basis.

Physical networks, TCP/IP protocols, switching methods, network layering and components, network services. Information security, computer and network security threats, defence mechanisms, encryption.
Three lectures, one tutorial (one hour); second term
Prerequisite(s): Credit or registration in COMP SCI 3MH3 or COMPSCI 3SH3
Antirequisite(s): COMPSCI 3CN3, 3C03, SFWRENG 4C03, COMPENG 4DN4
Last offered 2022-2023.

Models of distributed computation, formal reasoning about distributed systems, time and message complexity, distributed agreement under adversarial attacks, distributed coordination and symmetry breaking, peer-to-peer computing, simulation as a tool for building more advanced functionality, actor-model programming.
Three lectures, one tutorial; one term
Prerequisite(s): One of COMPSCI 2C03 or SFWRENG 2C03 or SFWRENG 2MD3, and one of COMPSCI 2SD3 or 3SD3 or SFWRENG 3BB4 or SFWRENG 3SH3
Offered on an irregular basis.

Use of queuing models and simulation to predict computer system performance and find bottlenecks in a system. Types of models, distributions. Markov models. Modelling storage and network behaviour, locks, critical sections, concurrency. Introduction to analytical system reliability.
Three lectures, one tutorial (one hour); first term
Prerequisite(s): One of STATS 2D03, 2MA3, 3N03 or 3Y03
Antirequisite(s): SFWRENG 4E03
Cross-list(s): SFWRENG 4E03

Issues in starting up a new software enterprise, with the focus on independent startups. This course will cover the technical, financial, legal and operational issues encountered by software startups. Small groups of students will take an idea and turn it into a prototype, a business plan, and a sales pitch. Lectures will cover issues from team formation to appropriate software development processes to patent protection to venture capital.
Three lectures; two terms
Prerequisite(s): Registration in Level III or IV of any Computer Science program
Offered on an irregular basis.

Parallel architectures, design and analysis of parallel algorithms; distributed-memory, shared-memory and GPU computing; communication cost, scalability; MPI, OpenMP and OpenACC; tuning parallel programs for performance.
Three lectures, one tutorial (one hour); one term
Prerequisite(s): COMPSCI 2SD3 or credit or registration in COMPSCI 3SD3. Completion of COMPSCI 3N03 or 4C03 is recommended.
Antirequisite(s): SFWRENG 4F03
Cross-list(s): SFWRENG 4F03
Offered on an irregular basis.

Design of user interfaces. Principles of good interface design. Task-oriented design. User experience design. Inclusive design. Communicating with graphics. Modes and mode awareness problem. Human cognition (memory, perception, motor systems). Help systems. Interface design tools.
Three lectures, one tutorial (one hour); first term
Prerequisite(s): COMPSCI 2C03
Antirequisite(s): SFWRENG 4D03, 4HC3
Cross-list(s): SFWRENG 4HC3

Regression, Classification and Decision Theory, Bias-Variance Trade-off, Linear Models, Kernel Methods, Probabilistic Models, Neural Networks, Model Aggregation, Unsupervised Learning.
Three lectures, one tutorial; one term
Prerequisite(s): One of COMPSCI 2C03 or SFWRENG 2C03 or SFWRENG 2MD3. One of STATS 1L03, STATS 2D03, STATS 3Y03. One of COMPSCI 4O03 or 4X03 or SFWRENG 3O03 or 4X03 is recommended.
Offered on an irregular basis.

Modelling and solutions for engineering and science problems using linear optimization, including networks, transportation, assignment, and scheduling problems. Solution methods include combinatorial algorithms such as simplex methods, primal-dual formulations, branch and bound formulations for mixed integer programming, and heuristics.
Three lectures, one tutorial (one hour); first term
Prerequisite(s): COMPSCI 2C03
Antirequisite(s): SFWRENG 3O03, 4O03
Cross-list(s): SFWRENG 3O03

Fundamental algorithms and duality concepts of continuous optimization. Motivation, applicability, information requirements and computational cost of the algorithms is discussed. Practical problems will illustrate the power of continuous optimization techniques.
Three lectures, one tutorial (one hour); one term
Prerequisite(s): One of MATH 2A03 or 2ZZ3
Antirequisite(s): SFWRENG 4TE3
Cross-list(s): SFWRENG 4TE3
Offered on an irregular basis.

Formal languages, models of computation, decidability, reduction techniques, time and space complexity classes.
Three lectures, one tutorial (one hour); one term
Prerequisite(s): COMPSCI 2AC3 or 2FA3, 2C03
Antirequisite(s): SFWRENG 4TH3
Cross-list(s): SFWRENG 4TH3
Offered on an irregular basis.

Discrete-time signals and systems, digital filter design, photons to pixels, linear filtering, edge-detection, non-linear filtering, multi-scale transforms, motion estimation.
Three lectures; one term
Prerequisite(s): Registration in Level III or above of a program offered by the Department of Computing and Software
Offered on an irregular basis.

Network protocols underlying the world wide web; client-side programming: markup, styles, scripts, design, mobile/desktop; server-side programming: databases, dynamic languages; web services; cloud technologies; security.
Three lectures; one term
Prerequisite(s): COMPSCI 2ME3 or SFWRENG 2AA4; completion of COMPSCI 2DB3 or 3DB3, 3IS3, or 3N03 or 4C03 is recommended.
Offered on an irregular basis.

Computer arithmetic, stability, sensitivity. Numerical methods for polynomial manipulation, interpolation, data fitting, integration, differentiation, solving linear and non-linear systems, ordinary differential equations and eigenvalue problems.
Three lectures, one tutorial (one hour); second term
Prerequisite(s): MATH 1AA3 or 1ZB3, and MATH 1B03 or 1ZC3
Antirequisite(s): COMPENG 3SK3, 3SK4, SFWRENG 3X03, 4X03
Cross-list(s): SFWRENG 4X03

Directed readings in an area of computer science of interest to the student and the instructor.
Prerequisite(s): Permission of the Chair of the Department and registration in Level IV of an Honours program in Computer Science

Students, in teams of two to four students, undertake a substantial project in an area of computer science by performing each step of the software life cycle. The lecture component presents an introduction to software management and project management.
Lecture component in term one, weekly tutorials; two terms
Prerequisite(s): Registration in Level IV of an Honours Computer Science program, Honours Business Informatics or Honours Computer Science as a Second Degree (B.A.Sc.)

Development and analysis of simple algorithms. Implementation of algorithms in computer programming language. Design and testing of computer programs.

An introduction to the history and basic principles of animation. Students will create a significant work of computer animation displaying a variety of techniques. Readings and discussions will cover theatre, film studies and narrative.

Covers works, forms, theories of digitally interactive culture. Works may include hypertext fiction, computer games, interactive digital art, video, music; theories may cover hypertext, interactivity, immersion, simulation, reception, participatory culture.

Modeling of dynamic continuous physical phenomena in both continuous and discrete time. Control theory, stability analysis and feedback controller design. Application of computer control to continuous processes, system identification.

Interfacing to digital and analog systems, sensors and actuators. Signals and conditioning: data acquisition, active and passive filtering, optical and analog isolation, PWM, de/ multiplexing. Architecture of micro-controllers and DSP. Embedded system design and documentation.

Design and implementation of embedded systems interacting with analog systems. Software design and implementation for embedded systems and DSP systems. Simulation and testing of embedded systems.

Hard and soft real-time systems. Safety classification. Fail-safe design, hazard analysis. Discrete event systems. Modes. Requirements and design specifications. Tasks and scheduling. Clock synchronization. Data acquisition. Applications in real-time control.

This course introduces several concepts used in systems engineering, predictive control and artificial intelligence. A variety of techniques including prediction and estimation, linear models, basic optimization techniques, Monte Carlo techniques, neural networks, and clustering are introduced. The techniques are applied to predictive and smart systems by the example of model predictive control and intelligent control, classification and decision-making. The course is intended for engineering students with understanding in signals and systems and control.
Three lectures and one tutorial; one term
Prerequisite(s): MECHTRON 3DX4 or SFWRENG 3DX4 or IBEHS 4A03
Offered on an irregular basis.

Student teams prepare the requirements, design, documentation and implementation of a Mechatronics System taking economic, health, safety, cultural, legal and marketing factors into account. Students must demonstrate a working system and convincing test results.

Software life cycle, quality attributes, requirements documentation, specifying behaviour; classes and objects, interface specification; creational patterns, structural design patterns, behavioural design patterns; implementation in code, reviews, testing and verification.

Basic data structures: stacks, queues, hash tables, and binary trees; searching and sorting; graph representations and algorithms, including minimum spanning trees, traversals, shortest paths; introduction to algorithmic design strategies; correctness and performance analysis.

Memory, binary arithmetic, hierarchical design. Hardware/software co-design and application specific processors. Interfacing to I/O devices.

Functions, relations and sets; the language of predicate logic, propositional logic; proof techniques, counting principles; induction and recursion, discrete probabilities, graphs, and their application to computing.

Finite state automata and grammars, predicate logic and formal proofs, models of computation, complexity, modular arithmetics, and their applications to computing.

Instruction-set architecture, computer arithmetic, datapath and control, pipelining, memory hierarchies, I/O systems, multiprocessor systems, graphic processors, measures of performance.

Advanced programming with emphasis on embedded systems. Program specifications: Pre- and post-conditions, loop and datatype invariants; use of tools to demonstrate correctness. Selecting data structures for implementation of mathematical abstractions. Finite state machines, automata and languages; lexing and parsing. Algorithm analysis (time and space). Modelling of graphs, relations, corresponding algorithms.
Three lectures, one tutorial; second term
Prerequisite(s): SFWRENG 2MP3 and registration in a Mechatronics Engineering program
Antirequisite(s): COMPENG 2SI4, COMPSCI 2C03, SFWRENG 2C03

This course focuses on learning programming using the high-level systems programming language C, and on understanding how its features are implemented using the CPU and the memory hierarchy. Mathematical abstractions are implemented using fundamental data structures such as arrays, stacks, queues, etc., with static and dynamic memory allocation.
Three lectures, one tutorial; first term
Prerequisite(s): ENGINEER 1D04 or IBEHS 1P10 A/B, and registration in a Mechatronics Engineering program
Antirequisite(s): COMPENG 2SH4, COMPSCI 2S03, SFWRENG 2S03

Fundamental concepts of programming: expressions, statements, procedures, control structures, iteration, recursion, exceptions; basic data structures: records, arrays, dynamic structures; use of libraries.

Unix and shell programming, makefiles, version control; assembly basics, translating high-level language into assembly, parameter passing, arrays, recursion; compiling, debugging, profiling, and software optimizations.

Open-ended design of computational solutions to practical problems that involve both theoretical (algorithmic) analysis and implementation; solving computational problems through an experiential approach; revision and version control.

Sustainable architectures; design for change and expansion; software architecture design space; object oriented analysis and design; architectural styles; methodology of making architecture decisions; project organization.

Processes, threads, concurrency; synchronization mechanisms, resource management and sharing; objects and concurrency; design, architecture and testing of concurrent systems.

Data modeling, integrity constraints, principles and design of relational databases, relational algebra, SQL, query processing, transactions, concurrency control, recovery, security and data storage.

Modelling of dynamic continuous physical phenomena in both continuous and discrete time. Control theory, stability analysis and feedback controller design. Application of computer control to continuous processes. System identification.

Functional programming; lists and algebraic data types, pattern matching, parametric polymorphism, higher-order functions, reasoning about programs; lazy and strict evaluation; programming with monads; domain-specific languages.

Game concepts. Creative and expressive play. Storytelling and narratives. User interfaces for games. Gameplay. Core mechanics. Game Balancing. Software architecture of games. Level design. Genres. Physics Engines.

Mathematical foundations, the graphics pipeline, geometrical transformations, 3D visualization, clipping, illumination and shading models and the impact of graphics on society.

Oral and written presentation skills; types and structure of technical documents; software documentation for the user; formulating and presenting proposals.

Software design process. Professional responsibility. Using specifications. Documentation. Module Specification. Module interfaces. Module internal documentation. Coding styles. Portability. Software inspection. Software testing.

Comprehensive overview of and experience with system development and assurance for safety critical software-intensive systems in general, and safe, secure and effective medical devices in particular: System requirements, validation, system design including hardware and software components, software design, implementation, and verification.

Three lectures, one lab (two hours); one term
Prerequisite(s): COMPENG 2SI4 or COMPSCI 2C03 or SFWRENG 2C03 or 2MD3

Linear systems, signals, filters; time and frequency domains; single input-single output systems; discrete and continuous time; sampling theorem; Fourier series; Fourier, Laplace, and z transforms; stability.

Modelling and solutions for engineering optimization problems using Linear and Integer Programming, including transportation and assignment problems, multi-objective problems and scheduling. Solution methods include primal-dual schemes (algorithms), simplex, branch and bound, and heuristics.

Course Summary

Software requirements gathering. Critical systems requirements gathering. Security requirements. Traceability of requirements. Verification, validation, and documentation techniques. Software requirements quality attributes. Security policies. Measures for data confidentiality. Design principles that enhance security. Access control mechanisms.

Measurements. Unit testing, slicing and debugging, integration testing, regression testing, testing strategies, test coverage.

Processes and threads, synchronization and communication; scheduling, memory management; file systems; resource protection; structure of operating systems.

Regular and Context-Free languages, Turing machines, decidability, reductions, time and space complexity classes.

Open-ended software development emphasizing concurrent system design; measurement, inspection, software metrics, software project management; testing methods.

Hard and soft real-time systems. Safety classification. Fail-safe design, hazard analysis. Discrete event systems. Modes. Requirements and design specifications. Tasks and scheduling. Clock synchronization. Data acquisition. Applications in real-time control.

Advanced topics in database systems technology and design. Topics include: query processing; query optimization; data storage; indexing; crash recovery; physical database design; introductory data mining techniques.

Physical networks, TCP/IP protocols, switching methods, network layering and components, network services. Information security, computer and network security threats, defense mechanisms, encryption.

Use of queuing models and simulation to predict computer system performance and find bottlenecks in a system. Types of models, distributions. Markov models. Modelling storage and network behaviour, locks, critical sections, concurrency. Introduction to analytical system reliability.

Parallel architectures, design and analysis of parallel algorithms; distributed-memory, shared-memory and GPU computing; communication cost, scalability; MPI, OpenMP and OpenACC; tuning parallel programs for performance.

Student teams prepare the requirements, design, documentation, and implementation of a software system taking economic, health, safety, legal, marketing factors into account. Students must demonstrate a working system and convincing test results. Software project management.

Human sensory perception, learning and cognition. Game aesthetics. Precise control and feedback mechanisms. Use of music and sounds. Critical analysis of existing interfaces. Alternate input devices.

Design of user interfaces. Principles of good interface design. Human input. Displaying complex data using graphics and virtual reality. Modes and mode awareness problem. Health issues, information overload. Special purpose graphics hardware. Interface design tools; on-line help systems.

Fundamental communications concepts: information, entropy, channel capacity, codes, data compression, adaptive channel equalizers, modulation/demodulation of signals, tracking, Kalman filtering, use of specialized signal processing hardware. Software in communication systems.

Fundamental algorithms and general duality concepts of continuous optimization. Special attention will be paid to the applicability of the algorithms, their information requirements and computational costs. Practical engineering problems will illustrate the power of continuous optimization techniques.

Formal languages, models of computation, decidability, reduction techniques, time and space complexity classes.
Three lectures, one tutorial (one hour); one term
Prerequisite(s): SFWRENG 2C03, 2FA3
Antirequisite(s): COMPSCI 4TH3
Cross-list(s): COMPSCI 4TH3

Computer arithmetic and roundoff error analysis. Interpolation, integration, solving systems of linear and nonlinear equations. Eigenvalues and singular value decomposition. Numerical methods for ordinary differential equations.