University of Calgary : Computer Science CPSC

Computer Science CPSC

CPSC 601 602 604 605 607 609 610 611 615 617 619 622 625 626 629 630 635 641 643 653 656 657 661 662 667 669 671 672 673 675 681 682 683 687 689 691 695 696 697 698 699 701 767 771 781 785 789

For more information about these courses, see the Department of Computer Science science.ucalgary.ca/computer-science.

Notes:

Registration in all courses requires the approval of the Department of Computer Science.
In several cases, credit is not allowed for Computer Science courses and various courses offered by the Faculty of Engineering. Students who have successfully completed Engineering courses should contact the Department of Computer Science for additional information.

Graduate Courses

Computer Science 601

Special Topics in Computer Science

A study of problems of particular interest to graduate students in Computer Science.
Course Hours: 3 units; (3-0)
MAY BE REPEATED FOR CREDIT

Computer Science 602

Explorations in Information Security and Privacy

Surveys topics in information security and privacy, with the purposes of cultivating an appropriate mindset for approaching security and privacy issues and developing basic familiarity with related technical controls.
Course Hours: 3 units; (3-0)
Notes: Not intended for students specializing in information security and privacy technologies.
Also known as: (formerly Computer Science 601.50)

Computer Science 604

Foundations of Access Control

Application of formal methods and mathematical logic to the modelling of access control systems and the design of policy languages. Topics include safety and resiliency analysis, proof of policy compliance, expressiveness of policy languages, policy analysis, as well as a survey of modern paradigms of access control.
Course Hours: 3 units; (3-0)
Also known as: (formerly Computer Science 601.40)

Computer Science 605

Information Storage and Processing in Biological Systems

Examination of complex biological systems; concepts and fundamentals of biological solutions to information storage and processing; modelling and computer simulation of biological systems; information storage in biological molecules; genetic networks; hierarchical organization of biological information processing in signal transduction, development, evolution, and ecology; biological control systems.
Course Hours: 3 units; (3-0)
Also known as: (Medical Science 605)

Computer Science 607

Biological Computation

Examination and modelling of biological networks; focus on the latest developments in biological computing and their theoretical backgrounds, such as: DNA computing; genomic algorithms; artificial chemistries; complex adaptive systems, chaos and fractals; immune system computing; gene regulatory networks; swarm intelligence systems.
Course Hours: 3 units; (3-0)

Computer Science 609

Foundations of Multi-Agent Systems

Modelling of agents and properties of multi-agent systems. Communication issues, including interaction and co-ordination concepts, forming and maintaining organizations, and competitive agent environments. Example systems; the implementation of a multi-agent system will be performed as the assignment.
Course Hours: 3 units; (3-0)
Antirequisite(s): Credit for Computer Science 609 and either Computer Science 567 or Software Engineering 697 will not be allowed for programs offered by the Department of Computer Science.

Computer Science 610

Compiler Code Generation and Optimization

Compiler code generation and optimization techniques, including register allocation, instruction selection, dataflow analysis, and code optimization techniques using intermediate representations. Implementation of special language features and tools for automated code generation.
Course Hours: 3 units; (3-0)

Computer Science 611

Complexity Theory

Deterministic and non-deterministic time and space complexity; complexity classes and hierarchies; NP-complete problems and intractable problems; axiomatic complexity theory.
Course Hours: 3 units; (3-0)
Antirequisite(s): Credit for Computer Science 611 and Computer Science 511 will not be allowed.

Computer Science 615

Computational Techniques for Graphics and Visualization

Various case studies from the fields of graphics and visualization. Topics in numerical linear algebra, numerical optimization, and discrete differential geometry.
Course Hours: 3 units; (3-0)
Antirequisite(s): Credit for Computer Science 615 and Computer Science 601.13 will not be allowed.

Computer Science 617

Category Theory for Computer Science

Introduction to category theory with applications in computer science. Functors, natural transformations, adjoints and monads, initial and final algebras. Introduction to 2-categories and fibrations.
Course Hours: 3 units; (3-0)

Computer Science 619

Quantum Computation

Introduction to quantum computing. Quantum algorithms, quantum search, quantum fourier transforms, quantum error correcting codes, quantum cryptography, nonlocality and quantum communication complexity, and quantum computational complexity.
Course Hours: 3 units; (3-0)
Antirequisite(s): Credit for Computer Science 619 and Computer Science 519 will not be allowed.

Computer Science 622

Randomized Algorithms

Design and analysis of randomized algorithms; discrete probability theory; randomized data structures; lower bound techniques; randomized complexity classes; advanced algorithmic applications from various areas.
Course Hours: 3 units; (3-0)
Antirequisite(s): Credit for Computer Science 622 and Computer Science 522 will not be allowed.

Computer Science 625

Principles of Computer Security

Security policies and protection mechanisms for a computing system, including such topics as design principles of protection systems, authentication and authorization, reference monitors, security architecture of popular platforms, formal modelling of protection systems, discretionary access control, safety analysis, information flow control, integrity, role-based access control. Legal and ethical considerations will be introduced as necessary.
Course Hours: 3 units; (3-0)
Prerequisite(s): Admission to a graduate-level Computer Science program.
Antirequisite(s): Credit for Computer Science 625 and Computer Science 525 will not be allowed.

Computer Science 626

Network Systems Security

Attacks on networked systems, tools and techniques for detection and protection against attacks including firewalls and intrusion detection and protection systems, authentication and identification in distributed systems, cryptographic protocols for IP networks, security protocols for emerging networks and technologies, privacy enhancing communication. Legal and ethical issues will be introduced as necessary.
Course Hours: 3 units; (3-0)
Prerequisite(s): Admission to a graduate-level Computer Science program.
Antirequisite(s): Credit for Computer Science 626 and Computer Science 526 will not be allowed.

Computer Science 629

Elliptic Curves and Cryptography

An introduction to elliptic curves over the rationals and finite fields. The focus is on both theoretical and computational aspects; subjects covered will include the study of endomorphism rings, Weil pairing, torsion points, group structure, and effective implementation of point addition. Applications to cryptography will be discussed, including elliptic curve-based Diffie-Helman key exchange, El Gamal encryption, and digital signatures, as well as the associated computational problems on which their security is based.
Course Hours: 3 units; (3-0)

Computer Science 630

Information Theory and Security

Information theoretic concepts such as entropy and mutual information, and their applications to defining and evaluating information security systems including encryption, authentication, secret sharing and secure message transmission.
Course Hours: 3 units; (3-2T)
Antirequisite(s): Credit for Computer Science 630 and Computer Science 530 will not be allowed.

Computer Science 635

Image Analysis and Computer Vision

Standard methods used in the analysis of digital images. Image acquisition and display: visual perception; digital representation. Sampling and enhancement. Feature extraction and classification methods. Object recognition.
Course Hours: 3 units; (3-0)
Antirequisite(s): Credit for Computer Science 635 and Computer Science 535 will not be allowed.

Computer Science 641

Performance Issues in High Speed Networks

An overview of current research in high speed networks. Topics covered will include the current Internet, the future Internet, wireless networks, optical networks, Asynchronous Transfer Mode (ATM), TCP/IP, network traffic measurement, Web server performance, and mobile computing. Emphasis will be placed on network performance issues for next-generation Internet protocols and applications.
Course Hours: 3 units; (3-0)

Computer Science 643

Modern Wireless Networks

An introduction to the fundamentals and applications of wireless networks.
Course Hours: 3 units; (3-0)

Computer Science 653

Computational Geometry

Geometric searching, hull proximity and intersection data structures and algorithms and their complexity.
Course Hours: 3 units; (3-0)

Computer Science 656

Machine Learning in Biometric and Cybersecurity

Principles of machine learning in biometric system design. Multi-modal, trustworthy and fuzzy decision fusion. Traditional machine learning methods and modern deep learning architectures. Applications in image processing, pattern recognition, data mining, medicine, human-computer interaction, oil and gas exploration, defence and cybersecurity.
Course Hours: 3 units; (3-0)
Prerequisite(s): Computer Science 319 or 331 or Data Science 311.
Antirequisite(s): Credit for Computer Science 601.57 or 656 and 556 will not be allowed.
Also known as: (formerly Computer Science 601.57)

Computer Science 657

Modelling And Visualization of Plants

Modelling, simulation and visualization of plants for computer graphics and biological purposes. Modelling of plants as an example of interdisciplinary research including computer science, biology, mathematics and physics. L-systems as a formal basis for model construction. Modelling languages. Information flow in plants. Symmetry, self-similarity and allometry of plants. Descriptive models of plant architecture. Models integrating plant structure and function. Simulation of plant development. Case studies: competition for space, phyllotaxis, tropisms, and biomechanical considerations. Reaction-diffusion models of morphogensis. Genotype-to-phenotype mapping. Modelling of plant ecosystems. Rendering and visualization of the models. A survey of applications and research directions.
Course Hours: 3 units; (3-0)

Computer Science 661

Algorithms for Distributed Computation

Fundamental algorithmic problems in distributed computation; impact of communication, timing, failures and other characteristics on computability and complexity of solutions.
Course Hours: 3 units; (3-0)
Antirequisite(s): Credit for Computer Science 661 and Computer Science 561 will not be allowed.

Computer Science 662

Agent Communications

An examination of communication paradigms in multi-agent systems. A number of paradigms will be covered including simple protocols, BDI (Believe, Desire, Intension), and social commitments.
Course Hours: 3 units; (3-0)
Antirequisite(s): Credit for Computer Science 662 and Computer Science 568 will not be allowed.

Computer Science 667

Computer Algebra

Fundamental problems, classical and modern algorithms, and algorithm design and analysis techniques of use in computer algebra. Integer and polynomial arithmetic. Additional problems in computer algebra, possibly including problems in computational linear algebra, factorization, and concerning systems of polynomial equations will be considered as time permits.
Course Hours: 3 units; (3-0)
Antirequisite(s): Credit for Computer Science 667 and Computer Science 518 will not be allowed.

Computer Science 669

Cryptography

An overview of the basic techniques in modern cryptography, with emphasis on fit-for-application primitives and protocols. Topics will include symmetric and public-key cryptosystems; digital signatures; elliptic curve cryptography; key management; attack models and well-defined notions of security.
Course Hours: 3 units; (3-0)

Computer Science 671

Database Management Systems

Foundations of database applications and database systems, plus some advanced topics in data management systems will be introduced.
Course Hours: 3 units; (3-0)
Antirequisite(s): Credit for Computer Science 671 and Computer Science 571 will not be allowed.

Computer Science 672

Fundamentals of Network Analysis and Data Mining

Introduction to data mining with emphasis on frequent pattern mining, clustering and classification, data collection, network construction, basic graph theory concepts and network analysis metrics, and case studies.
Course Hours: 3 units; (3-0)
Antirequisite(s): Credit for Computer Science 672 and either Computer Science 572 or 599.77 will not be allowed.
Also known as: (formerly Computer Science 601.77)

Computer Science 673

Distributed Database Systems

Introduction to distributed database systems. Topics covered include: architecture, data design, query processing, transaction management, multidatabases, object-oriented databases and advanced system issues.
Course Hours: 3 units; (3-0)

Computer Science 675

Datawarehouse Systems

Design, development and deployment of datawarehouses. Schemas, models, data organization, OLAP, tuning, data mining and architectural models may be discussed.
Course Hours: 3 units; (3-0)

Computer Science 681

Research Methods in Human-Computer Interaction

Application of the theory and methodology of human-machine studies to real systems; theory and practice.
Course Hours: 3 units; (3-0)

Computer Science 682

Independent Research Project

A research project conducted under the guidance of a faculty member. A report must be presented on completion of the course.

Course Hours: 3 units; (0-3)
Prerequisite(s): Consent of the Department.
MAY BE REPEATED ONCE FOR CREDIT

Computer Science 683

Information Visualization: Theory and Practice

The theory and development of interactive visual representations of abstract data for the purpose of amplifying cognition. Topics covered can include representational issues, perceptual issues, visual literacy, spatial abstraction, and interaction issues.
Course Hours: 3 units; (3-0)

Computer Science 687

Computer Animation

Principles of traditional animation, key framing, parametric and track animation, free form deformation, inverse kinematics, dynamics, spring mass systems, particle systems, numerical integration, Lagrangian constraints, space time constraints, collisions, human animation, behavioural animation, metamorphosis, implicit animation techniques, animating liquids, gases and cloth, motion capture.
Course Hours: 3 units; (3-2T)
Prerequisite(s): Admission to a graduate-level Computer Science program.
Antirequisite(s): Credit for Computer Science 687 and Computer Science 587 will not be allowed.

Computer Science 689

Modelling for Computer Graphics

Parametric Modelling. B-splines and NURBS. Subdivision schemes. Surface subdivision. Multiresolution. Wavelets. Implicit modelling. Blends. Polygonization. Blobtree. Precise contact modelling. Solid modelling. CSG. Procedural modelling. Special topics, e.g. Differential geometry. Graph-based modelling. Topology.
Course Hours: 3 units; (3-0)
Antirequisite(s): Credit for Computer Science 689 and Computer Science 589 will not be allowed.

Computer Science 691

Rendering

Physical foundations of illuminations techniques. Color. Radiometry and photometry. Reflection models. The rendering equation. Ray tracing. Monte Carlo techniques. Sampling and antialiasing. Texturing. Radiosity. Photon tracing. Volume rendering. Image-based rendering. Real-time shading.
Course Hours: 3 units; (3-0)
Antirequisite(s): Credit for Computer Science 691 and Computer Science 591 will not be allowed.

Computer Science 695

Data Management in Geographical Information Systems

Examination of advanced geometric algorithms for representation, analysis and visualization of Geographical Information Systems. Data structures such as progressive mesh, ROAM, multidimensional Delauney triangulization, quadtree and space partitioning. Algorithmic techniques such as incremental, divide and conquer, sweep-plane, and dimension reduction. Algorithms for surface simplification, culling, quality measurement and reduction.
Course Hours: 3 units; (3-0)

Computer Science 696

Information Security Seminar

Topics in information security, such as security management, emerging threats, research frontiers using case studies and best practices.
Course Hours: 3 units; (3-0)
Antirequisite(s): Credit for Computer Science 696 and 699 will not be allowed.

Computer Science 697

Biometric Security

Principles of biometric system design, technology and performance evaluation. Verification, identification and synthesis in biometrics. Traditional and emerging techniques for fingerprint matching, face recognition, iris modelling, signature authentication, and biometric pattern recognition. Multi-modal biometrics and biometric security.
Course Hours: 3 units; (3-0)
Antirequisite(s): Credit for Computer Science 697 and 577 will not be allowed.

Computer Science 698

Information Security Project

An information security project conducted under the guidance of a faculty member. A report must be written and presented on completion of the course.
Course Hours: 6 units; (3-0)

Computer Science 699

Research Methodology in Computer Science

An introduction to and survey of research areas and methods in Computer Science. Professional skills in computer science research such as reviewing, critical evaluation, and the preparation of research proposals.
Course Hours: 3 units; (3-0)
Antirequisite(s): Credit for Computer Science 699 and 696 will not be allowed.
NOT INCLUDED IN GPA

Computer Science 701

Research Topics in Computer Science

In-depth course on a focused current research topic in Computer Science. Involves a significant research component and requires substantial background knowledge.
Course Hours: 3 units; (3-0)
MAY BE REPEATED FOR CREDIT

Computer Science 767

Advanced Topics in Multiagent Systems

An in-depth study of a selected subfield of multiagent systems including state-of-the-art research. This is a project-driven course.
Course Hours: 3 units; (3-0)
Prerequisite(s): Computer Science 567 or 609.

Computer Science 771

Current Trends in Database Technology

Advanced topics chosen from state of the art trends in data management and analysis, including big data management, data mining, machine learning, network analysis and their applications in healthcare, homeland security, and business. There is a large project component.
Course Hours: 3 units; (3-0)

Computer Science 781

Advanced Topics in Human-Computer Interaction

The topics covered will change year by year depending on current advances in human computer interaction.
Course Hours: 3 units; (3-0)
Prerequisite(s): Computer Science 481.

Computer Science 785

Implicit Modelling

A detailed look at modelling using implicit and iso-surface techniques taking an in-depth review of the literature. Algebraic methods will be followed by skeletal models, field function design, modelling techniques, rendering and texture mapping. Polygonization algorithms, ray tracing implicits, techniques for animation, meta-morphosis, precise contact modelling, deformation and warping. Algorithms and data structures and implementation details will be presented. Students will be expected to make a new contribution in their project and term paper.
Course Hours: 3 units; (3-0)

Computer Science 789

Advanced Geometric Modelling

Current research topics including spline modelling, Subdivision Surfaces, multiresolution, wavelets, analysis of the subdivision surfaces and reverse subdivision.
Course Hours: 3 units; (3-0)

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