Catalog Entries |
2024 September Semester
Apr 25, 2024 |
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 | Select the Course Number to get further detail on the course. Select the desired Schedule Type to find available classes for the course. |
| CPSC 100 - Computer Programming I |
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This course introduces the fundamental concepts of programming from and object-oriented perspective. Topics include fundamentals of programming style, syntax, data types, arithmetic and logical expressions, assignments, control structures, arrays, functions, file i/o, classes, inheritance, and dynamic storage allocation. The course emphasizes the development of problem solving and programming skills, including testing techniques and the use of debugging tools. Students must also register in a lab and a tutorial section. Credit will not be awarded for both CPSC 110-3 and CPSC 100-4. Refer to major for required course. Please note: You must register separately in lecture, tutorial, and lab components. Credits: 0.000 OR 4.000 Levels: Undergraduate Schedule Types: Lecture, Final Exam, Lec/Lab/Tut Combination, Laboratory, Tutorial |
| CPSC 101 - Computer Programming II |
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This course is a continuation of CPSC 100-4. Objects, classes, inheritance and polymorphism are discussed in depth. Other topics include object-orieted program design and development using principles of software engineering; modeling with UML; GUI components and graphics; dynamic storage allocation, the heap, and garbage collection; run-time support for program execution; and the use of standard libraries. Students work cooperatively to complete a medium-sized project. This course requires both tutorial and laboratory components. Please note: You must register separately in lecture lab, and tutorial components. Credits: 0.000 OR 4.000 Levels: Undergraduate Schedule Types: Lecture, Final Exam, Lec/Lab/Tut Combination, Laboratory, Tutorial |
| CPSC 110 - Introduction to Computer Systems and Programming |
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The course provides an introduction to computer systems and programing, concepts in computer architecture including the central processing unit, buses, memory units, input/output and communication devices. The introduction to operating systems emphasizes the file system and program development utilities. Programing concepts and techniques include problem analysis, program design, coding, and testing, as well as language elements such as data types, variables and assignment statements, expressions, mixed-mode arithmetic, input/output operations, basic data structures and control structures, procedures and abstract data types. Basic database management concepts will also be introduced. Students will develop small applications programs. CPSC 110-3 is a first course in computer science and computer programing. CPSC 110-3 cannot be counted as a computer science course by computer science majors. Credit will not be awarded for both CPSC 110-3 & CPSC 100-4. Refer to major for required course. Please note: You must register separately in lecture, lab, and tutorial components. Credits: 0.000 OR 3.000 Levels: Undergraduate Schedule Types: Lecture, Final Exam, Lec/Lab/Tut Combination, Laboratory, Tutorial, World Wide Web |
| CPSC 127 - Introduction to Technology |
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This course introduces students to a current technological topic, defines technology, and explores the context of technology, prototyping, and testing. Students participate in a project involving remote or autonomous control and use project-based learning to analyze how competing social, ethical, and sustainability considerations influence the creation and development of technological solutions.
Credits: 3.000 Levels: Undergraduate Schedule Types: Lecture, Final Exam, Laboratory |
| CPSC 141 - Discrete Computational Mathematics |
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This course provides an introduction to set theory, elements of combinatorics and probability theory, logical and formal reasoning using predicate and propositional calculus, together with narrative proof techniques. Other topics include well ordered sets, recursive definitions and mathematical induction; introductory number theory including the division algorithm, Euclidean algorithm, prime numbers and the fundamental theorem of arithmetic; properties of functions and relations including bijections, projections, inverses, composition, and Cartesian products.
Credits: 3.000 Levels: Undergraduate Schedule Types: Lecture, Final Exam |
| CPSC 150 - Computer Applications |
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Taught through the use of common applications, beginning with word processing, this course prepares students for future as well as present needs in computing literacy by reaching beyond examples to recognition of principles. Students gain a practical grasp of data formats, program behaviour, using documentation, and the role of hardware. Communications (including World Wide Web), and cross- platform transference of data, feature prominently, in addition to traditional office applications such as spreadsheets and databases. Students attend lectures and work from web-mounted lab material. Each student undertakes a personal project, which documents independent learning. May not be counted as a computer science course by computer science majors. Please note: You must register separately in lecture and lab components where applicable. Credits: 3.000 Levels: Undergraduate Schedule Types: Lecture, Final Exam, Lec/Lab/Tut Combination, Laboratory, World Wide Web |
| CPSC 199 - Introductory Special Topics I |
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The intent of this course is to provide timely offering of courses that either reflect rapid change in Computer Science, provide supplementary material in specific concrete topics or skills, or expose non-majors to advances in Computer Science. Consequently, the topic and availability of this course varies. The course may be retaken any number of times, provided all topics are distinct.
Credits: 1.000 TO 3.000 Levels: Undergraduate Schedule Types: Lecture, Self-Directed, Final Exam |
| CPSC 200 - Algorithm Analysis and Development |
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This course introduces the development and analysis of algorithms. Topics include asymptotic complexity and notation, algorithm, analysis, comparison of sorting algorithms, NP Completeness, assertions, and loop and data type invariants. An introduction to program correctness is given and correctness proofs of simple programs are discussed. Recursion relationships are examined. Applications of algorithms are considered.
Credits: 3.000 Levels: Undergraduate Schedule Types: Lecture, Final Exam |
| CPSC 222 - Introduction to Concurrent and Distributed Programming |
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This course introduces the core concepts, techniques, and tools for concurrent and distributed programming. Topics include concurrent programming in shared memory systems and distributed programming in message passing systems. After introducing the necessary concepts, various coordination problems are discussed and then solved using different synchronization mechanisms. Relevant programming environments are introduced and students gain hands-on experience through programming assignments in both shared memory systems and message passing systems.
Credits: 3.000 Levels: Undergraduate Schedule Types: Lecture, Final Exam |
| CPSC 230 - Introduction to Logic Design |
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Topics include Boolean algebra, basic switching functions and gate-level implementation, canonical forms, simplification methods, voltage assignments, combinatorial and sequential logic circuits, registers, counters, ALUs, CPUs, instruction sets, control units, and bus organization.
Please note: You must register separately in lecture and lab components. Credits: 0.000 OR 4.000 Levels: Undergraduate Schedule Types: Lecture, Final Exam, Lec/Lab/Tut Combination, Laboratory |
| CPSC 231 - Computer Organization and Architecture |
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Topics include computer abstractions and technologies, computer architecture, instruction sets, processor data paths and control, pipelining, hyper-threading, memory systems, I/O systems, busses, multiprocessors, and parallel computers. Students perform a series of assembly level programming assignments.
Please note: You must register separately in lecture and lab components. Credits: 0.000 OR 4.000 Levels: Undergraduate Schedule Types: Lecture, Self-Directed, Final Exam, Lec/Lab/Tut Combination, Laboratory |
| CPSC 242 - Mathematical Topics for Computer Science |
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This course introduces topics in graphs and trees: terminology, trails, paths, cycles, and shortest paths. As well, this course discusses counting methods: principles of inclusion and exclusion, combinatorial identities and arguments, and generating functions. Topics in probability theory are introduced.
Credits: 3.000 Levels: Undergraduate Schedule Types: Lecture, Final Exam |
| CPSC 250 - Applied Business Computing |
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This course examines core computing knowledge and techniques as they apply to business applications. The course covers database design and information retrieval techniques with emphasis on web-database integration, advanced features of spreadsheets, recoding/analyzing basic business transactions using a variety of accounting software, and implementation of selected financial models. Presentational and interface design techniques are also covered. Students complete a term project that solves a typical business problem using the software and procedures of their choice. This course may not be counted as a computer science course by computer science majors.
Credits: 3.000 Levels: Undergraduate Schedule Types: Lecture, Final Exam |
| CPSC 260 - Ethics in Computing Science |
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This course focuses on codes of ethics of computing professional societies, technology and human values, costs and benefits of technology, the social context of work in computer science and engineering, copyright, patents, access, and other concepts.
Credits: 3.000 Levels: Undergraduate Schedule Types: Lecture, Final Exam |
| CPSC 281 - Data Structures I |
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This course introduces a variety of practical and important data structures and methods for analytical evaluation and experimental implementation using an object-oriented programming language. Structures include arrays and matrices; list related structures including stacks, queues, and skip lists; hashing; various tree structures, their traversals and their use in expressions and search trees; priority queues and heaps; graphs, and graph algorithms (such as shortest-path and minimum-cost spanning trees).
Credits: 3.000 Levels: Undergraduate Schedule Types: Lecture, Final Exam, Laboratory |
| CPSC 299 - Introductory Special Topics II |
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The intent of this course is to provide timely offering of courses that either reflect rapid change in Computer Science, provide supplementary material in specific concrete topics or skills, or expose non-majors to advances in Computer Science. Consequently, the topic and availability of this course varies. The course may be retaken any number of times, provided all topics are distinct. This course normally supposes some first-year exposure to Computer Science.
Credits: 1.000 TO 3.000 Levels: Undergraduate Schedule Types: Lecture, Self-Directed, Final Exam |
| CPSC 300 - Software Engineering |
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Fundamental problem-solving concepts, the software development process, software requirements and specifications, software design and implementation, verification and validation, organization and management of programming teams, and documentation are discussed. Students work on a team project.
Credits: 3.000 Levels: Undergraduate Schedule Types: Lecture, Final Exam, Laboratory |
| CPSC 320 - Programming Languages |
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This course is a general introduction to programming languages. Topics include an overview of programming languages and language design objectives, specification of syntax and semantics, virtual machines and language translation, lambda calculus and theoretical fundamentals, program correctness and reasoning about programs, programming language constructs, declarations and types, abstraction mechanisms, and programming paradigms. An interpreter-based approach is used to describe the semantics of language constructs. Assignments include case studies and laboratory work.
Credits: 3.000 Levels: Undergraduate Schedule Types: Lecture, Final Exam, Laboratory |
| CPSC 321 - Operating Systems |
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This course introduces the fundamental concepts of operating systems. Topics include tasking and processes, process co-ordination and synchronization, scheduling and dispatch, physical and virtual memory organization, paging and segmentation, device management, file systems, and security and protection. Students study a simple operating system and have an opportunity to make modifications to it in laboratory exercises.
Credits: 0.000 OR 3.000 Levels: Undergraduate Schedule Types: Lecture, Final Exam, Lec/Lab/Tut Combination, Laboratory, Tutorial |
| CPSC 324 - Introduction to Database Systems |
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This course focuses on the relational database model. Topics include storage structure and access methods, data definition and data manipulation language, relational algebra and calculus, and SQL. An introduction to database design using entity-relationship model, functional dependencies, and theory of normalization is provided. A relational DBMS is used for understanding SQL and application development in SQL-like languages and general purpose host languages with application program interfaces.
Credits: 3.000 Levels: Undergraduate Schedule Types: Lecture, Final Exam |
| CPSC 340 - Theory of Computation |
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This course examines regular expressions, deterministic and non-deterministic finite automata, context-free and other grammars, pushdown automata, Chomsky and Greibach normal forms. Chomsky hierarchy, pumping lemmas, Turing machines, undecidability, computability, recursive function theory, computational complexity, NP-hard and NP-complete problems.
Credits: 3.000 Levels: Undergraduate Schedule Types: Lecture, Self-Directed, Final Exam, Lec/Lab/Tut Combination, Laboratory |
| CPSC 344 - Data Communications and Networking |
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This course provides an understanding of basic concepts underlying data communications and networking. Topics covered include data transmission and encoding, Internet and Internet2, Network Layer model, multiplexing, circuit switching, network protocols, and data communication hardware. Students also learn about protocols and topologies of Local Area Networks (LANs), Wireless LANs, Wide Area Networks (WANs), Metropolitan Area Networks (MANs), and Backbone Networks (BNs). The basic concepts of network design and implementation, network management, and network security are also introduced.
Credits: 3.000 Levels: Undergraduate Schedule Types: Lecture, Final Exam |
| CPSC 345 - Fundamentals of Cybersecurity |
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This course is a broad survey of fundamental topics in cybersecurity with the purpose of laying a practical foundation and cultivating an appropriate mindset for information security and privacy issues. Topics include information security, authentication, access controls, cryptography, communication security, malware, social aspects of security, and emerging industry trends. Legal and ethical considerations are included.
Credits: 3.000 Levels: Undergraduate Schedule Types: Lecture, Final Exam |
| CPSC 351 - Management Information Systems |
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This course emphasizes the strategic role of information systems in modern business. Topics include the technical foundations of information systems, the impact of information systems on business operations and decision- making, and the processes that are required for successful implementation of business information systems.
Credits: 3.000 Levels: Undergraduate Schedule Types: Lecture, Final Exam, Laboratory |
| CPSC 354 - Introduction to Business Intelligence |
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This course provides students with an understanding of business intelligence which involves conversion of mass data into effectively communicated information through visual, interactive media that enables evidence-based strategic decision making. Course topics include: data extract-transform-load (ETL); data quality; master data management (MDM) ; data warehouse models; conformance; star/snowflake dimensional models; online transaction processing (OLTP) ; online analytical processing (OLAP) ; effective data visualization (lead/lag key performance indicators, scorecards, dashboards, reports) , governance, success/failure factors, and emerging trends. Students apply the concepts in a term project using leading technologies and business intelligence tools.
Credits: 3.000 Levels: Undergraduate Schedule Types: Lecture, Final Exam |
| CPSC 370 - Functional and Logic Programming |
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This course provides an introduction to programming in symbolic languages such as the functional language Scheme and the logic programming language PROLOG, with applications to systems programming, symbolic computation, artificial intelligence, and other areas.
Credits: 3.000 Levels: Undergraduate Schedule Types: Lecture, Final Exam, Laboratory |
| CPSC 371 - Artificial Intelligence |
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Productions and matching, knowledge representations, search, logical reasoning and use of PROLOG in learning, natural-language understanding, computer vision, expert systems.
Credits: 3.000 Levels: Undergraduate Schedule Types: Lecture, Final Exam, Laboratory |
| CPSC 377 - Introduction to Robotics |
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This course is an introduction to hardware architecture and control architecture of robotic and mechatronic devices. Topics include electronics, sensor capabilities, calibration of sensors, control of sensor I/O, motor and motion control through duty cycle and pulse width modulation. Laboratory topics include the development of interfaces between sensors, their control boards and digital circuitry including microprocessors. Microprocessor control of sensors and motors is developed, including the use of reasoning embedded in onboard microprocessor software for control of robotic actions.
Credits: 0.000 OR 3.000 Levels: Undergraduate Schedule Types: Lecture, Final Exam, Laboratory |
| CPSC 400 - Software Engineering Project |
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The course provides students, working in groups, with a significant project experience in which they can integrate much of the material they have learned in CPSC 300 Software Engineering, including matters relating to requirements, design, human factors, professionalism, and project management.
Credits: 3.000 Levels: Undergraduate Schedule Types: Lecture, Self-Directed, Final Exam |
| CPSC 424 - Advanced Database Systems |
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This course is an introduction to advanced concepts in database design and applications. Topics discussed include transaction management, concurrency control, query processing and optimization, recovery and security, data warehousing and data mining, handling of special data types such as multimedia, spatial data, and XML documents. An introduction to object-oriented and object-relational models, parallel and distributed databases, and special purpose databases is also provided. Support for complex applications, information retrieval and data analysis is examined.
Credits: 3.000 Levels: Undergraduate Schedule Types: Lecture, Final Exam |
| CPSC 430 - Undergraduate Thesis |
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This undergraduate thesis allows students to examine and research a topic in the field of computer science. Students must have completed at least 90 credit hours and be computer science majors. This thesis may be taken in one or two semesters. CPSC 430 is normally taken over two semesters and requires that a student find an Undergraduate Thesis research supervisor. Therefore, students are encouraged to apply to potential supervisors well in advance of completing 90 credit hours. This course may be repeated for a total of 6 credit hours.
Credits: 3.000 OR 6.000 Levels: Undergraduate Schedule Types: Undergrad Thesis |
| CPSC 441 - Distributed Systems |
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This course covers the fundamental principles and paradigms underlying the design of distributed computing systems. Coverage includes the definition and types of distributed systems, communication, processes, naming, synchronization, consistency and replication, fault tolerance, and security. Term projects focus on case studies of specific systems representing web-based, peer-to-peer, mobile, grid, and other modern paradigms.
Credits: 3.000 Levels: Undergraduate Schedule Types: Lecture, Final Exam, Laboratory |
| CPSC 442 - Parallel Computing |
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This course introduces students to concepts in high performance computing. Topics include classification of parallel architectures, basic communications operations, interconnection networks, topologies of dynamic and static networks, performance issues and techniques for optimization, and dynamic programming. Parallel algorithm design for high-performance computing such as applications in computational biology, finite-element and finite-difference methods for numerical simulations., dense/sparse matrix algorithms, and multidimensional data structures is also discussed. Message passing (MPI and OpenMP) is used for implementation of algorithms on high performance cluster computers.
Credits: 3.000 Levels: Undergraduate Schedule Types: Lecture, Final Exam, Laboratory |
| CPSC 444 - Computer Networks |
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This course explores essential topics in computer networks including TCP protocol, TCP reliable transport service, Internet protocol IP addresses, IP datagram and datagram forwarding, IPv6, network applications, real time interactive applications protocols (RTP, RTCP, SIP, H.323), security in computer networks, and network management. Network applications discussed include client-server interaction, naming and domain name system DNS, multimedia networking, VoIP, audio and video streaming.
Credits: 0.000 OR 3.000 Levels: Undergraduate Schedule Types: Lecture, Self-Directed, Final Exam, Laboratory |
| CPSC 450 - Bioinformatics |
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This course introduces computational techniques for solving biological problems and presents an overview of the tools and the methods used to analyze large biological data sets. After introducing molecular biology for computer scientists—cells and organelles, chromosome, gene, DNA, RNA, proteins, transcription and translation—the course explores pairwise and multiple sequence alignment, sequence database searches, pattern identification of genes, promoters and transcription factor binding sites, as well as secondary and tertiary structure prediction for RNA and proteins. Markov models for gene prediction are introduced.
Credits: 3.000 Levels: Undergraduate Schedule Types: Lecture, Self-Directed, Final Exam, Lec/Lab/Tut Combination, Laboratory |
| CPSC 472 - Knowledge Based Systems |
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This course introduces students to Expert Systems. The two major topics addressed are Rule-based systems and Fuzzy Logic systems. Goal driven forward-chaining and ackward-chaining paradigms are introduced. Automatic theorem provers, inference engines and problems of knowledge representation and knowledge acquisition are discussed. Approaches to reasoning about uncertainty are covered including Bayesian probabilities, certainty factors, non-monotonic logics and reasoning with beliefs. A Fuzzy Logic system is implemented and an application is developed and tested.
Credits: 3.000 Levels: Undergraduate Schedule Types: Lecture, Final Exam |
| CPSC 473 - Introduction to Data Mining |
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This course introduces algorithms and paradigms that allow computers to discover previously hidden patterns in databases or datasets. Main topics include discovery of frequent
patterns, analysis of different types of data (static, dynamic, sequential, uncertain, etc.) clustering and classification. Other topics may include data visualization, social network mining, real-life applications, and parallel/distributed data mining. Students work on assignments, term tests and a course project.
Credits: 3.000 Levels: Undergraduate Schedule Types: Lecture, Final Exam |
| CPSC 475 - Multiagent Systems |
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An introduction to the theoretical and practical aspects of intelligent agents and multiagent systems, this course is open to undergraduate students majoring in different areas and fosters creative multidisciplinary interaction. Coverage includes the basic concepts, agent architectures, decuctive and practical reasoning agents, reactive and hyrbrid agents, multiagent interactions, human-agent interactions, agreements, communication, and teamwork. Individual or team projects allow students to explore specific topics in their areas of interest through theorectical or laboratory work.
Credits: 3.000 Levels: Undergraduate Schedule Types: Lecture, Final Exam |
| CPSC 482 - Data Structures II |
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This course considers the design and analysis of efficient data structures and algorithms including extensions of those studied in CPSC 200 and CPSC 281. Also considered are general techniques for building and analyzing algorithms (greedy, divide and conquer, dynamic programming) and topics from: amortized time estimates, complexity analysis, and NP completeness.
Credits: 3.000 Levels: Undergraduate Schedule Types: Lecture, Final Exam |
| CPSC 495 - Undergraduate Research Project |
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This course consists of a small research project undertaken by the student or by teams of students. Projects consist of the definition of a problem in computing and a literature survey of recent work in the field. Students are encouraged to define their own possible solutions and to prototype the solutions where appropriate. Regular review of progress is made in meetings. Students develop skills in the preparation of topic survey notes and in the development of arguments in support of or against published approaches to problems in computing. Students are expected to prepare and present their work. This course may be repeated provided all topics are distinct.
Credits: 0.000 OR 3.000 Levels: Undergraduate Schedule Types: Self-Directed, Final Exam, Lec/Lab/Tut Combination, Laboratory, Seminar, Undergrad Thesis |
| CPSC 499 - Special Topics |
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The topics for this course vary, depending on student interest and faculty availability. This course may be retaken any number of times, provided all topics are distinct.
Credits: 0.000 OR 3.000 Levels: Undergraduate Schedule Types: Lecture, Self-Directed, Final Exam, Laboratory |
| CPSC 600 - Software Engineering Project |
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This course provides students, working in groups, with an opportunity to apply the principles of software engineering, learned in previous courses, in a controlled and yet realistic project environment. They gain a significant integral project experience involving various project phases, such as requirements elicitation, system design, and prototyping, as well as team organization, human factors, professionalism, and project management.
Credits: 3.000 Levels: Graduate Schedule Types: Lecture, Self-Directed, Final Exam |
| CPSC 624 - Advanced Database Systems |
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This course introduces advanced concepts in database design and applications. Topics include transaction management, concurrency control, query processing and ptimization, recovery and security, data warehousing and data mining, handling of special data types such as multimedia, spatial data, and XML documents. An introduction to object-oriented and object-relational models, parallel and distributed databases, and special purpose databases is also provided. Support for complex applications, information retrieval and data analysis is examined.
Credits: 3.000 Levels: Graduate Schedule Types: Lecture, Self-Directed, Final Exam |
| CPSC 641 - Distributed Systems |
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This course covers the fundamental principles and paradigms underlying the design of distributed computing systems. The coverage includes the definition and types of distributed systems, communication, processes, naming, synchronization, consistency and replication, fault tolerance, and security. Term projects focus on case studies of specific systems representing web-based, peer-to-peer, mobile, grid, and other modern paradigms.
Credits: 3.000 Levels: Graduate Schedule Types: Lecture, Final Exam |
| CPSC 642 - Parallel Computing |
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This course introduces students to concepts in high performance computing. Topics inlcude classification of parallel architectures, basic communications operations, interconnection networks, topologies of dynamic and static networks, performance issues and techniques for optimization, and dynamic programming. Parallel algorithm design for high-performance computing-such as applications in computational biology, finite-element and finite-difference methods for numerical simulations, dense/sparse matrix algorithms, and multidimensional data structures-is also discussed. Message passing (MPI and OpenMP) is used for implementation of algorithms on high performance cluster computers.
Credits: 3.000 Levels: Graduate Schedule Types: Lecture, Final Exam |
| CPSC 644 - Computer Networks |
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This course explores essential topics in computer networks including TCP protocol, TCP reliable transport service, Internet protocol IP addresses, IP datagram and datagram forwarding, IPv6, network applications, real time interactive applications protocols (RTP, RTCP, SIP, H.323), security in computer networks, and network management. Network applications discussed include client-server interaction, naming and domain name system DNS, multimedia networking, VoIP, audio and video streaming.
Credits: 3.000 Levels: Graduate Schedule Types: Lecture, Self-Directed, Final Exam, Laboratory |
| CPSC 650 - Bioinformatics |
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This course introduces computational techniques for solving biological problems and presents an overview of the tools and methods used to analyze large biological data sets. After introducing molecular biology for computer scientists—cells and organelles, chromosome, gene, DNA, RNA, proteins, transcription and translation—the course explores pairwise and multiple sequence alignment, sequence database searches, pattern identification of genes, promoters and transcription factor binding sites, as well as secondary and tertiary structure prediction for RNA and proteins. Markov models for gene prediction are introduced.
Credits: 3.000 Levels: Graduate Schedule Types: Lecture, Final Exam |
| CPSC 672 - Knowledge Based Systems |
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This course introduces students to Expert Systems. The two major topics addressed are Rule-based systems and Fuzzy Logic systems. Goal-driven forward-chaining and backward-chaining paradigms are introduced. Automatic theorem provers, inference engines and problems of knowledge representation and knowledge acquisition are discussed. Approaches to reasoning about uncertainty, including Bayesian probabilities, certainty factors, non-monotonic logics and reasoning with beliefs, are covered. A Fuzzy Logic system is implemented and an application is developed and tested.
Credits: 3.000 Levels: Graduate Schedule Types: Lecture, Final Exam |
| CPSC 673 - Introduction to Data Mining |
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This course introduces algorithms and paradigms that allow computers to discover previously hidden patterns in databases or datasets. Main topics include discovery of frequent patterns, analysis of different types of data (static, dynamic, sequential, uncertain, etc.) clustering and classification. Other topics may include data visualization, social network mining, real-life applications, and parallel/distributed data mining. Students work on assignments, term tests and an individual course project.
Credits: 3.000 Levels: Graduate Schedule Types: Lecture, Final Exam |
| CPSC 675 - Multiagent Systems |
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An introduction to the theoretical and practical aspects of intelligent agents and multiagent systems, this course is open to graduate students in different areas and fosters creative multidisciplinary interaction. Coverage includes the basic concepts, agent architectures, deductive and practical reasoning agents, reactive and hybrid agents, multiagent interactions, human-agent interactions, agreeements, communication, and teamwork. Individual or team projects allow students to explore specific topics in their areas of interest through theoretical or laboratory work.
Credits: 3.000 Levels: Graduate Schedule Types: Lecture, Self-Directed, Final Exam |
| CPSC 682 - Data Structures II |
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External sorting and merging, best case, worst case, and average case estimates, time and space estimates for algorithms studied in CPSC 200-3 and CPSC 281-3.
Credits: 3.000 Levels: Graduate Schedule Types: Lecture, Final Exam |
| CPSC 690 - Computing Project I |
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This course consists of a large computing project undertaken by the student or by teams of students. Projects will be geared to industrial or research needs and designed to give the senior students first-hand experience in applying their knowledge and skills to the design and implementation of medium to large software systems. Students will employ standard software engineering practices. Regular project team meetings will be held to review project milestones.
Credits: 3.000 Levels: Graduate Schedule Types: Lecture, Self-Directed |
| CPSC 699 - Special Topics |
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The topics for this course vary, depending on student interest and faculty availability. The course may be repeated any number of times, provided all topics are distinct from one another.
Credits: 3.000 Levels: Graduate Schedule Types: Lecture, Self-Directed, Final Exam |
| CPSC 704 - Graduate Seminar in Computer Science |
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This course comprises weekly seminar sessions. Students will investigate and present ideas and results pertaining to current computer science research. The offerings may include presentations of current literature, research methodology, and topics related to students' own research or project work. Students will participate in discussions and critiques of the work presented. MSc students are required to attend and participate in all seminar sessions to obtain credit for the course. This is a PASS/FAIL course. [All MSc students must register in a seminar course twice during their program of studies. It is expected that all MSc students will attend the seminar each semester they are available.]
Credits: 1.500 Levels: Graduate Schedule Types: Final Exam, Seminar |
| CPSC 706 - Topics in Computer Science Research and Methodology |
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This course is designed to expose graduate students to research methods, principles and design techniques in computer science, which may include: evolution of fundamental ideas in computer science, theoretical foundations, formal techniques in the areas of system specification, design, verification, validation and performance analysis. The course aims to offer methods and principles widely applicable in computer science. Specific applications studied will vary.
Credits: 3.000 Levels: Graduate Schedule Types: Lecture, Final Exam |
| CPSC 720 - Advanced Programming Languages |
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Topics for this course may include advanced study of general programming language design concepts, formal reasoning about programs and languages, pragmatic evaluation of language properties, and case studies of specfic languages. The course may be used to communicate programming language theory and practice specfic to students' project or thesis research needs.
Credits: 3.000 Levels: Graduate Schedule Types: Lecture, Self-Directed |
| CPSC 741 - Advanced Topics in Distributed Computing |
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This course focuses on exploration of principles of distributed computing through a study of selected advanced topics of research interest to faculty and students.
Credits: 3.000 Levels: Graduate Schedule Types: Lecture, Self-Directed, Final Exam, Lec/Lab/Tut Combination, Laboratory |
| CPSC 760 - Modeling and Simulation |
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This course covers fundamental modeling and simulation concepts and discrete-event systems in particular. The course introduces systems modeling and simulation concepts, basic probability distributions and random numbers, queueing models, and an overview of relevant object oriented concepts. The fundamental concepts and practical simulation techniques for modeling different types of systems are covered. An in-depth study of modeling elements, simulation protocols, and their relationships including verification and validation are discussed. Various distributed systems are introduced as case studies and a significant part of the course and hands-on experience is through simulation projects. Understanding of distributed systems and object-oriented programming concepts and basic probability theory is required.
Credits: 3.000 Levels: Graduate Schedule Types: Lecture, Self-Directed, Final Exam, Lec/Lab/Tut Combination, Laboratory |
| CPSC 790 - Graduate Seminar |
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Credits: 3.000 Levels: Graduate Schedule Types: Seminar |
| CPSC 791 - Advanced Special Topics I |
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This course introduces selected advanced special topics in computer science. The content may vary.
Credits: 3.000 Levels: Graduate Schedule Types: Lecture, Self-Directed, Final Exam |
| CPSC 792 - Advanced Special Topics II |
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This course introduces selected advanced special topics in computer science. The content may vary.
Credits: 3.000 Levels: Graduate Schedule Types: Lecture, Self-Directed |
| CPSC 793 - Master of Science (Computer Science) Project |
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The MSc Project is an extended position paper, report, plan or program that makes a contribution to, or addresses, a major problem or issue in the field of computer science. The development of the project requires the application of original thought to the problem or issue under investigation. The project does not require the development of a research design or research methodology and need not involve the collection of original data. Successful completion of the project is required for graduation in the Master of Science (Computer Science stream) project option. This is a PASS/FAIL course.
Credits: 6.000 Levels: Graduate Schedule Types: Self-Directed, Masters Project |
| CPSC 794 - Master of Science (Computer Science) Thesis |
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The MSc thesis documents a scientific contribution to the field of computer science. Students are expected to conduct original research involving a literature review, development of a research design and methodology, testing and analysis of data, and development of conclusions. Successful defence of the thesis is required for graduation in the computer science thesis stream. This is a PASS/FAIL course.
Credits: 12.000 Levels: Graduate Schedule Types: Self-Directed, Masters Thesis |
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