Rigorous development of the physics of x-ray production, interaction and detection in diagnostic radiology, including mammography and ultrasound. In-depth analysis of analog and digital systems in radiography and fluoroscopy is given. The description and design of computed tomographic systems as well as the associated reconstruction algorithms from single to multislice helical systems are studied. Restricted to undergraduate students in the Honors Physics degree. Credit can be obtained in at most one of MEDPH 486 and ONCOL 568. Prerequisites: MEDPH 450, MEDPH 462, and consent of department.

This course deals with model building, multiple regression analysis, and related methods useful in a business environment. Microcomputer software will be utilized throughout the course, with necessary computing skills being taught as the course proceeds. However, students are expected to already possess some basic familiarity with microcomputer applications. Prerequisite: STAT 161 or equivalent. Credit will be granted for only one of MGTSC 212 (formerly MGTSC 312) and STAT 252. Students may not receive credit for both MGTSC 212 and MGTSC 312.

This course is concerned with methods used to predict the uncertain nature of business trends in an effort to help managers make better decisions and plans. Such efforts often involve the study of historical data and manipulation of these data to search for patterns that can be effectively extrapolated to produce forecasts. This is a business statistics course that covers all aspects of business forecasting where the emphasis is on intuitive concepts and applications. Topics covered include the family of exponential smoothing methods, decomposition methods, dynamic regression methods, Box-Jenkins methods and judgmental forecasting methods (e.g. the Delphi method). Because forecasting is best taught through practice, the course contains numerous real, relevant, business oriented case studies and examples that students can use to practice the application of concepts. Prerequisites: MGTSC 312, MGTSC 352 or OM 352.

The objective of the course is to study and understand process and product variation, interactions among product and process variables, and ultimately to take action to reduce variation. The topics covered include statistical process control, design of experiment, factorial design, Taguchi's methods and cases, and applications of quality control in management. Prerequisites: MGTSC 312, ECON 101 or equivalents.

This course covers the statistics now commonly used by businesses, governments, labour and other collective bargaining units, social action groups, legal professionals, and the media to assess the performance of nations over time and in comparison with each other. This course helps students improve their skills for finding, obtaining, and using relevant raw data and statistics for assessing nations. Students also find, read and use studies of others that make use of data and statistics to assess the performance of nations. Prerequisite: MGTSC 312. Pre or corequisite: ECON 101.

Normally restricted to third- and fourth- year Business students. Prerequisites: MGTSC 312 or consent of Department. Additional prerequisites may be required.

Special study for advanced undergraduates. Prerequisites: consent of Instructor and Assistant Dean, Undergraduate Program.

Special Study for advanced undergraduates. Prerequisites: MGTSC 495, consent of the Instructor and Assistant Dean, Undergraduate Program.

Special Study for advanced undergraduates. Prerequisites: MGTSC 496, consent of the Instructor and Assistant Dean, Undergraduate Program.

This course begins with a survey of graphical and numerical techniques available for studying and describing data. Following an introduction to probability distributions, an overview of statistical inference for means and proportions is provided. Regression, analysis of variance and decision analysis are then utilized to analyze data and support decision making. Time series models are also briefly discussed. The data and decisions analyzed throughout the course will be representative of those commonly encountered by managers. During the required lab sessions, spreadsheet analysis of data, Monte Carlo simulation and the use of software for statistical analysis will be presented. Not open to students who have completed MGTSC 511 and MGTSC 521.

The merging of massive data-sets with analytical tools from Statistics, Computer Science, and Operations Research has created the emerging field of analytics. Methods are developing rapidly based on statistical platforms such as SAS and R, or more general purpose programming tools such as Python. This course will build on the basis from MGTSC 501 to provide an overview of Big Data and analytics, and develop programming and methodological skills to acquire, analyze, and present analysis. Prerequisite: MGTSC 501.

The objective of the course is to study and understand process and product variation, interactions among product and process variables and ultimately to take action to reduce variation. The topics covered include statistical process control, design of experiment, factorial design, Taguchi's methods and cases and applications of quality control in management. Prerequisite: MGTSC 501 or 521.

Topics may vary from year to year. Students should check with the MBA Office for pre/corequisites of specific sections.

An overview of multivariate data analysis normally taken by students in the first year of the Business PhD program. Designed to bring students to the point where they are comfortable with commonly used data analysis techniques available in most statistical software packages. Students are expected to complete exercises in data analysis and in solving proofs of the major results. Topics will include univariate analysis, bivariate analysis, multiple linear regression, and analysis of variance. It is expected that students have as background at least one semester of calculus, one semester of linear algebra, and two semesters introduction to probability, probability distributions and statistical inference. Prerequisite: Registration in Business PhD Program or written permission of instructor. Approval of the Business PhD Program Director is also required for non-PhD students.

A continuation of the overview of multivariate data analysis begun in MGTSC 705. Topics include categorical data analysis, multivariate linear regression, discriminant analysis, canonical correlation, multivariate analysis of variance, principal component analysis, factor analysis, cluster analysis and logistic regression. Prerequisite: MGTSC 705 or consent of Instructor. Approval of the Business PhD Program Director is also required for non-PhD students.

This course is organized into two parts. Part I covers univariate and multivariate time domain models of stationary and nonstationary time series. Topics covered include univariate time series models, unit root tests, time series regression modeling, systems of regression equations, vector autoregressive models for multivariate time series and cointegration. In Part II the course introduces the issues and opportunities that arise with panel data and the main statistical techniques used for its analysis. Topics covered include fixed-effects models, random-effects models, dynamic models and limited dependent variable models. Throughout the course, the emphasis will be on how to use S-plus and Stata to estimate panel data and time series models. There is relatively less emphasis on statistical theory. Evaluation in the course is based on home work assignments and a term project. Prerequisite: MGTSC 705 or equivalent.

Developing the ability to collect information and to use information technology to analyze statistically and draw conclusions; developing computer skills and understanding research methods. Restricted to students registered in the MBA China Program.

Developing the ability to collect information and to use information technology to analyze statistically and draw conclusions; developing computer skills and understanding research methods. Restricted to Executive MBA students only.

This course will focus on the structure and physiology of free-living and pathogenic bacteria. The diversity of their metabolic activities, the interaction of microbes with their environment, symbiotic relationships and cell-to-cell communication are major topics. Lectures and laboratory exercises are coordinated to explore topics in basic microbiology, environmental microbiology, molecular microbiology, and the production of economically or medically important products through microbial biotechnology. Prerequisites: BIOL 107 and CHEM 164 or 261. SCI 100 may be used in lieu of BIOL 107 and CHEM 261.

The structure, growth, and metabolic pathways used by bacteria, archaea, and unicellular eukaryotes. Emphasis is placed on the comparative biochemical aspects of microbial life. Prerequisites: MICRB 265 and BIOCH 200 or 205. Credit cannot be obtained for both MICRB 311 and 511.

Microbial production of commercially important metabolites, drugs, food grade enzymes and platform chemicals; use and modification of microbes for industrial-scale processes including biofuel production; bioprospecting for novel activities; strain improvement and synthetic biology; fundamentals of fermenter operation. Prerequisite: MICRB 265.

Factors that affect prokaryotic gene expression at the levels of replication, transcription, post-transcriptional and post-translational control. Topics will include mobile genetic elements and their effect on chromosome structure and gene expression; alternate sigma factors; protein modification and degradation; RNA structure, processing and decay; and DNA modification and rearrangement in gene control. Prerequisites: GENET 270, MICRB 265 and BIOCH 203/205 or BIOCH 200. Note: MICRB 316 and 516 cannot both be taken for credit.

A broad range of topics in microbial ecology are covered including aquatic and terrestrial habitats, the influence of health and disease on the human microbiome, symbiosis and pathogenesis in environmental systems, and the application of ecological theory to microbial populations and communities. Prerequisite: MICRB 265. Pre- or corequisite: BIOL 208, or consent of instructor.

Laboratory experiments use culture and molecular-based methods for isolating, identifying, enumerating and characterizing microbes and their communities from aquatic and terrestrial environments. Bioassays for industrially and environmentally important microbial products and ecological processes will be studied. Prerequisite: MICRB 265 and consent of instructor. MICRB 320 recommended. Credit may not be obtained for both MICRB 392 and 492. Offered in alternate years.

This advanced microbiology course will cover selected topics of life in extreme environments, with particular emphasis on diversity, evolutionary and physiological adaptations, methodology for studying extreme environments, the effective limits of life, implications for biogeochemical cycling, and astrobiology. Examples of adaptation to specific environments will be the focus of student projects. Oral presentations required. Prerequisites: BIOL 322 or any 300 level MICRB course or consent of Department. Note: MICRB 423 and 523 cannot both be taken for credit.

The structure, growth, and metabolic pathways used by bacteria, archaea, and unicellular eukaryotes. Lectures are the same as MICRB 311, but with additional assignments and evaluation appropriate to graduate studies. Prerequisite: consent of the instructor. Credit cannot be obtained for both MICRB 311 and 511.

Lecture course on molecular mechanisms relating to gene expression of prokaryotes based on the current literature. In addition, students will prepare an analytical literature review on a chosen topic relating to this field. Prerequisite: consent of the instructor. Credit cannot be obtained for both MICRB 316 and 516.

This advanced microbiology course will cover selected topics of life in extreme environments, with particular emphasis on diversity, evolutionary and physiological adaptations, methodology for studying extreme environments, the effective limits of life, implications for biogeochemical cycling, and astrobiology. Examples of adaptation to specific environments will be the focus of student projects. Oral presentations required. Lectures are the same as for MICRB 423, but with an additional assignment and evaluation appropriate to graduate studies. Prerequisites: consent of instructor. MICRB 423 and 523 cannot both be taken for credit.

Intended for all Microbiology and Biotechnology graduate students, except those in their second year who should register for MICRB 607. Credit may be obtained more than once.

Graded seminar course intended for second-year graduate students.

Cours d'introduction pour les étudiants du BScInf (bilingue). La première partie du cours se concentre sur les microorganismes, le système immunitaire, l'hygiène en milieu hospitalier, la transmission d'infection, les infections, les antibactériens, la désinfection et la stérilisation. La deuxième partie du cours se concentre sur les organismes pathogènes reliés aux systèmes d'organes et comment ils causent la maladie. Note(s): (1) La priorité sera accordée aux étudiants du BScInf (bilingue). (2) Ce cours n'est pas accessible aux étudiants ayant ou postulant des crédits pour MMI 133. (3) Les étudiants du BScInf (bilingue) et ceux qui envisagent de transférer au programme doivent obtenir une note de passage d'au moins C+ afin de pouvoir continuer dans le programme.

Ce cours se focalisera sur la structure et la physiologie des bactéries libres et pathogènes. La diversité de leurs activités métaboliques, l'interaction des microbes avec leur environnement, les relations symbiotiques et la communication intercellulaire sont les sujets principaux. Les lectures et les exercices des laboratoires permettent l'exploration de la microbiologie de base, de la microbiologie environnementale, de la microbiologie moléculaire et de la production de produits importants d'un point de vue médical ou économique grâce à la biotechnologie microbienne. Préalable(s) : BIOL ou BIOLE 107 et CHEM ou CHIM 164 ou 261. SCI 100 peut être utilisé comme préalable en remplacement de BIOL 107 et CHEM 261 Note: Ce cours n'est pas accessible aux étudiants ayant ou postulant des crédits pour MICRB 265.

Mining concepts and terminology, company operations, stages of mining, unit mining operations, surface and underground mine development and methods, feasibility studies and mine costs, ethics, equity, sustainable development and environmental stewardship, public and worker safety and health considerations including the context of the Alberta Occupational Health and Safety Act.

Methods for construction of mineral deposit models. Resources and reserves estimation and simulation for characterizing best estimates and grade variability. Fundamental statistical and mathematical principles for spatial prediction. Mineral reserve classification and uncertainty assessment. Co-requisites: MATH 209, EAS 210, and MIN E 325.

Methods for construction of mineral deposit models. Resources and reserves estimation and simulation for characterizing best estimates and grade variability. Fundamental statistical and mathematical principles for spatial prediction. Mineral reserve classification and uncertainty assessment. Co-requisites: MATH 209, EAS 210, and MIN E 325.

Methods for construction of mineral deposit models. Resources and reserves estimation and simulation for characterizing best estimates and grade variability. Fundamental statistical and mathematical principles for spatial prediction. Mineral reserve classification and uncertainty assessment. Co-requisites: MATH 209, EAS 210, and MIN E 325.

Mechanical properties of rock masses, field and laboratory determination; classification and index testing; permeability and flow; stresses around underground openings, elastic prototypes and numerical methods; ground support principles and mechanics of common support systems, loads on supports; hydraulic backfill, earth pressures, consolidation theory and practical consequences in mining; mechanics of subsidence and caving; rockburst mechanics; slope stability, rock mechanics instrumentation. Prerequisite: CIV E 270.

Mechanical properties of rock masses, field and laboratory determination; classification and index testing; permeability and flow; stresses around underground openings, elastic prototypes and numerical methods; ground support principles and mechanics of common support systems, loads on supports; hydraulic backfill, earth pressures, consolidation theory and practical consequences in mining; mechanics of subsidence and caving; rockburst mechanics; slope stability, rock mechanics instrumentation. Prerequisite: CIV E 270.

Mechanical properties of rock masses, field and laboratory determination; classification and index testing; permeability and flow; stresses around underground openings, elastic prototypes and numerical methods; ground support principles and mechanics of common support systems, loads on supports; hydraulic backfill, earth pressures, consolidation theory and practical consequences in mining; mechanics of subsidence and caving; rockburst mechanics; slope stability, rock mechanics instrumentation. Prerequisite: CIV E 270.

Drilling methods, breakage mechanics, performance, and equipment. Explosive characteristics, initiation systems, selection, handling, and loading. Blasting, rock dynamics, design of surface and underground blasts, fragmentation prediction, vibrations and damage control, monitoring. Prerequisite: MIN E 295.

Introduction to mine planning and design using professional software tools. Experiential learning through a design project using drillhole databases; geological and economic block models; open pit mine layout and planning requirements; pit limit optimization; haul road design; pit and waste dump design; and strategic mine planning and closure. Prerequisites: MIN E 295, CIV E 265.

Introduction to mine planning and design using professional software tools. Experiential learning through a design project using drillhole databases; geological and economic block models; open pit mine layout and planning requirements; pit limit optimization; haul road design; pit and waste dump design; and strategic mine planning and closure. Prerequisites: MIN E 295, CIV E 265.

Introduction to mine planning and design using professional software tools. Experiential learning through a design project using drillhole databases; geological and economic block models; open pit mine layout and planning requirements; pit limit optimization; haul road design; pit and waste dump design; and strategic mine planning and closure. Prerequisites: MIN E 295, CIV E 265.

Underground and surface mine transport systems, including truck haulage, free steered vehicles, rail haulage, wire rope hoisting, belt conveying, silo storage, hydraulic pipelining and pneumatic conveying. Auxiliary mining services such as electric power distribution, pumping and compressed air power. Labs include software-based design problems dealing with the materials taught in the classroom. Prerequisites: MIN E 295 and ECE 209.

First phase of a dynamic scenario-based mine feasibility study from exploration through operations to final mine closure plan. Includes preparation of a geological model, calculation of resources, generation of focused technical reports, community consultation and economic reports. Identify and compare conceptual mining methods for consideration in Mine Design Project II (see MIN E 403). Prepare regular team reports and presentations. Present findings during a half-day final industry seminar. Weekly seminars with instructor and industry experts. Corequisites: MIN E 413 and MIN E 414. Note: Restricted to fourth-year traditional and fifth-year co-op engineering students.

Second phase of a dynamic scenario-based mine feasibility study from exploration through operations to final mine closure plan. This course follows MIN E 402 with detailed mine plans and equipment selection, manpower, ventilation, processing, environment and economic analyses. Prepare regular team reports and presentations. Present findings during an industry seminar. Weekly seminars with instructor and industry experts. Prerequisite: MIN E 402. Note: Restricted to fourth-year traditional and fifth-year co-op engineering students.

Principles and practices of underground total air conditioning. Control of quantity, quality, and temperature-humidity of the underground mines. Design and analyses of mine ventilation networks. Theory and applications of fans to mine ventilation systems. Ventilation planning and overall system design. Prerequisites: MIN E 414 and one of CIV E 330 or CH E 312. Corequisite: MIN E 422.

Fundamentals of economic evaluation. Economic evaluation of mining ventures, profitability, risks and uncertainty analyses. Implementation of data-driven decision making for mine optimization and management strategies. Weekly laboratory/tutorial sessions explore the application of data analytics to economic challenges using case studies and specific problems. Prerequisites: ENG M 310 OR ENG M 401, and STAT 235.

Principles and application of surface mining methods (mechanical, aqueous, and continuous surface mining methods). Production and productivity considering the generation of mine specific landform structures. Loading and hauling systems. Water drainage systems. Haul road design and maintenance. Waste dump and tailings facility design and management. Closure and reclamation. Prerequisites: MIN E 310, 330, 323, and 325.

Methods and applications in underground excavation and tools to select equipment for underground drilling and loading processes. Methodology to examine shape, size and orientation effects, as well as support requirements, in the design of underground mine opening. Methods include room-and-pillar, sublevel stoping and caving, vertical crater retreat, block caving, selective methods for vein mines, and underground coal mining systems. Labs include software-based design problems dealing with underground mining methods selection, visualization and optimization. Prerequisites: MIN E 323, MIN E 324 and MIN E 325 or consent of Instructor.

Introduction to the principles of equipment selection and maintenance practice. Selected issues of machine and component longevity, wear, service and performance for both surface and underground equipment. Basic principles of maintenance management are introduced. Prerequisites: CIV E 270, MIN E 413 and MIN E 414.

Environmental impact of mining projects and activities. Topics include: environmental impact assessment (EIA) processes, sustainable development, mine closure, reclamation planning, social responsibility of mining, regulations, guidelines, surface subsidence, tailings disposal, erosion and acid rock drainage. Corequisite: MIN E 413.

Research studies and/or projects dealing with selected metal, nonmetal and coal mining subjects. Suitable subjects are chosen in consultation with a mining engineering faculty member. Typical study categories are reserve evaluation, surface and underground mining methods and operations, mine planning, computer simulation of mining operations, mineral processing, ventilation, regulations, mine safety, feasibility studies, economics and management. Prerequisite: consent of Instructor

Principles and fundamental subjects in Mining Engineering at the advanced level: definition of the terms used in mining, particularly those that are specific to either mines or minerals. Definition of mineral resource, reserve, and stages of mining based on applicable standards. Classification of mining methods, mining process, and selection of mining equipment. Waste dump design and management.

Geostatistical methods are presented for characterizing the spatial distribution of regionalized variables. The theory of random variables and multivariate spatial distributions is developed. This class focuses on the quantification of spatial variability with variograms, estimation with kriging, and simulation with Gaussian techniques.

Cell based methods for geology modeling, including indicator formalism for categorical data and truncated Gaussian simulation. Object based and process-based approaches for fluvial reservoirs. Indicators for continuous variable estimation and simulation. Multivariate geostatistics including models of coregionalization, cokriging, Gaussian cosimulation, Markov-Bayes simulation and multivariate data transformation approaches. Introduction to advanced simulation approaches including direct simulation, simulated annealing and multiple point simulation. Prerequisite: Consent of instructor.

Advanced methods for the modeling of heterogeneity, quantification of uncertainty and management of risk. The theory and place of historical and advanced methods in geostatistics. Matrix methods, alternative variogram measures, kriging with a trend, dual kriging, spectral simulation, direct simulation and multiple point statistics.

Public domain and commercial software are reviewed for geostatistical modeling. Special projects in petroleum, mining, environmental and other areas will be undertaken.

Properties of intact rocks and testing methods. Properties of rock masses and rock mass classifications. Rock and rock mass strength criteria. Stresses in rock masses. Analysis of rock mass performance, rock support and stabilization. Empirical, analytical and numerical analysis techniques. Surface and underground rock engineering case studies Prerequisite: Consent of Instructor.

A study of selected surface and underground mining equipment designs, enhancements and appropriateness for operation within given mining conditions. Strategies for machine dynamic performance benchmarking and evaluation, as tools for planning, maintenance and operations scheduling are considered for good and poor operating environments. Prerequisite: consent of Instructor.

This course covers underground mining methods and associated bulk materials handling methods. Sublevel stoping, vertical crater retreat mining, raise mining, room-and-pillar mining (hard and soft rock), longwall and shortwall mining, sublevel caving, block caving, cut-and-fill stoping, and shrinkage stoping. Bulk materials handling methods, silos, belt conveyors, slurry transport, mine hoisting, and underground trucks. Prerequisites: Consent of Instructor.

Surface mining methods, mechanics of surface mine layouts design, haul roads design, waste dump design, theory of Lerchs-Grossman's, floating cone, conditional simulation, neural network and heuristic algorithms for surface mine optimization. Large scale applications of these algorithms for designing and optimizing surface mine layouts and subsequent advance mining systems design. Students undertake design projects under Instructor's direction. Prerequisites: MIN E 413 or consent of Instructor.

Surface and underground mining equipment engineering and management approaches are investigated. Use of the observational method to equipment management is introduced. Theory and application of planning, operations and maintenance strategies will be discussed with appropriate case studies. Students undertake retrofit and/or hybrid design assignments for selected equipment operational issues. Prerequisite: MIN E 520, MIN E 622 or consent of Instructor.

Fundamentals of discrete-event simulation modelling and its industrial applications. Theoretical and statistical aspects of simulation, including input analysis, random number generation, experimental design, and variance reduction techniques. Arena Simulation Environment used for explaining simulation concepts.

Special studies of developments of current interest within the mining industry in exploration, mining methods, mine planning, mine simulation, environment, regulations, economics and management; e.g. tar sands mining, ocean mining, in situ gasification.

The course integrates theory and applications by means of undertaking a design project using mine planning software. Emphasis is placed on pit limit optimization, strategic mine planning, short-term planning, and open pit mine design. Prerequisites: MIN E 631 or consent of the Instructor.

The course integrates theory and applications by means of undertaking a real-world simulation project using discrete event simulation software. Emphasis is placed on transporters, customization of simulation using VBA, pseudo agent-based modeling, simulation based optimization, verification and validation techniques, and experimental design. Prerequisite MIN E 641 or consent of the instructor.

Readings and discussion of selected topics in mining engineering.

An engineering project for students registered in a Masters of Engineering program.

An engineering project for students registered in a Masters of Engineering program.

An engineering project for students registered in a Masters of Engineering program.

An engineering project for students registered in the joint MBA/MEng program.

An engineering project for students registered in the joint MBA/MEng program.

An engineering project for students registered in the joint MBA/MEng program.

Communication media, including copper, optical fiber and wireless. Modulation and coding standards. Framing. Error control techniques. MAN and WAN physical layers, including PDH, SONET/SDH, aATM, cable modems, xDSL, AMPS, GSM, GPRS, etc. Offered jointly by the Department of Electrical and Computer Engineering and the Department of Computing Science.

Communication media, including copper, optical fiber and wireless. Modulation and coding standards. Framing. Error control techniques. MAN and WAN physical layers, including PDH, SONET/SDH, aATM, cable modems, xDSL, AMPS, GSM, GPRS, etc. Offered jointly by the Department of Electrical and Computer Engineering and the Department of Computing Science.

Communication media, including copper, optical fiber and wireless. Modulation and coding standards. Framing. Error control techniques. MAN and WAN physical layers, including PDH, SONET/SDH, aATM, cable modems, xDSL, AMPS, GSM, GPRS, etc. Offered jointly by the Department of Electrical and Computer Engineering and the Department of Computing Science.

Structure of communication protocols, with an emphasis on the data link layer. SDLC and HDLC. Medium access control techniques. AAA. Local area, metropolitan area and wireless standards: Ethernet, 802.11 and Bluetooth. Offered jointly by the Department of Electrical and Computer Engineering and the Department of Computing Science.

Structure of communication protocols, with an emphasis on the data link layer. SDLC and HDLC. Medium access control techniques. AAA. Local area, metropolitan area and wireless standards: Ethernet, 802.11 and Bluetooth. Offered jointly by the Department of Electrical and Computer Engineering and the Department of Computing Science.

Structure of communication protocols, with an emphasis on the data link layer. SDLC and HDLC. Medium access control techniques. AAA. Local area, metropolitan area and wireless standards: Ethernet, 802.11 and Bluetooth. Offered jointly by the Department of Electrical and Computer Engineering and the Department of Computing Science.

Rationale and organization of the Internet protocols. IP, UDP, TCP, ICMP, ARP, RARP, Mobile-IP. Addressing and routing; intradomain routing protocols. Transport layer congestion control and flow control. IP over everything. Rationale and organization of the Internet protocols. IP, UDP, TCP, ICMP, ARP, RARP, Mobile-IP. Addressing and routing; intradomain routing protocols. Transport layer congestion control and flow control. IP over everything. Offered jointly by the Department of Electrical and Computer Engineering and the Department of Computing Science.

Rationale and organization of the Internet protocols. IP, UDP, TCP, ICMP, ARP, RARP, Mobile-IP. Addressing and routing; intradomain routing protocols. Transport layer congestion control and flow control. IP over everything. Rationale and organization of the Internet protocols. IP, UDP, TCP, ICMP, ARP, RARP, Mobile-IP. Addressing and routing; intradomain routing protocols. Transport layer congestion control and flow control. IP over everything. Offered jointly by the Department of Electrical and Computer Engineering and the Department of Computing Science.

Rationale and organization of the Internet protocols. IP, UDP, TCP, ICMP, ARP, RARP, Mobile-IP. Addressing and routing; intradomain routing protocols. Transport layer congestion control and flow control. IP over everything. Rationale and organization of the Internet protocols. IP, UDP, TCP, ICMP, ARP, RARP, Mobile-IP. Addressing and routing; intradomain routing protocols. Transport layer congestion control and flow control. IP over everything. Offered jointly by the Department of Electrical and Computer Engineering and the Department of Computing Science.

Concepts of Internet Applications. Sockets, client-server programming, proxies and gateways, performance, application programming, basic security, example application protocols: SMTP, HTTP, and how to implement them. Possible source code inspection exercises covering wget/HTTP. Offered jointly by the Department of Electrical and Computer Engineering and the Department of Computing Science.

Concepts of Internet Applications. Sockets, client-server programming, proxies and gateways, performance, application programming, basic security, example application protocols: SMTP, HTTP, and how to implement them. Possible source code inspection exercises covering wget/HTTP. Offered jointly by the Department of Electrical and Computer Engineering and the Department of Computing Science.

Concepts of Internet Applications. Sockets, client-server programming, proxies and gateways, performance, application programming, basic security, example application protocols: SMTP, HTTP, and how to implement them. Possible source code inspection exercises covering wget/HTTP. Offered jointly by the Department of Electrical and Computer Engineering and the Department of Computing Science.

Demonstration of network principles. Practical aspects of network design and implementations. Offered jointly by the Department of Electrical and Computer Engineering and the Department of Computing Science.

Demonstration of network principles. Practical aspects of network design and implementations. Offered jointly by the Department of Electrical and Computer Engineering and the Department of Computing Science.

Demonstration of network principles. Practical aspects of network design and implementations. Offered jointly by the Department of Electrical and Computer Engineering and the Department of Computing Science.

Capstone project involving the design or analysis of a significant internetwork or internetworking component. Offered jointly by the Department of Electrical and Computer Engineering and the Department of Computing Science.

Capstone project involving the design or analysis of a significant internetwork or internetworking component. Offered jointly by the Department of Electrical and Computer Engineering and the Department of Computing Science.

Capstone project involving the design or analysis of a significant internetwork or internetworking component. Offered jointly by the Department of Electrical and Computer Engineering and the Department of Computing Science.

An introduction to key components of a data centre, their architecture and design. It covers physical infrastructure, servers, storage, network and management practices. Offered jointly by the Department of Electrical and Computer Engineering and the Department of Computing Science.

Security: vulnerabilities of Internet protocols, penetration techniques and defenses, intrusion detection systems. Cryptography: Public and private key cryptography, key negotiation, certificates. E-commerce security standards for both protocols and hosts. Offered jointly by the Department of Electrical and Computer Engineering and the Department of Computing Science.

Security: vulnerabilities of Internet protocols, penetration techniques and defenses, intrusion detection systems. Cryptography: Public and private key cryptography, key negotiation, certificates. E-commerce security standards for both protocols and hosts. Offered jointly by the Department of Electrical and Computer Engineering and the Department of Computing Science.

Security: vulnerabilities of Internet protocols, penetration techniques and defenses, intrusion detection systems. Cryptography: Public and private key cryptography, key negotiation, certificates. E-commerce security standards for both protocols and hosts. Offered jointly by the Department of Electrical and Computer Engineering and the Department of Computing Science.

Distance vector, link state and hybrid protocols. Intra-domain vs. inter-domain protocols. Multi-protocol routing and route redistribution. Network management protocols and procedures: autodiscovery, performance monitoring, fault isolation. Offered by the Department of Electrical and Computer Engineering and the Department of Computing Science.

Distance vector, link state and hybrid protocols. Intra-domain vs. inter-domain protocols. Multi-protocol routing and route redistribution. Network management protocols and procedures: autodiscovery, performance monitoring, fault isolation. Offered by the Department of Electrical and Computer Engineering and the Department of Computing Science.

Distance vector, link state and hybrid protocols. Intra-domain vs. inter-domain protocols. Multi-protocol routing and route redistribution. Network management protocols and procedures: autodiscovery, performance monitoring, fault isolation. Offered by the Department of Electrical and Computer Engineering and the Department of Computing Science.