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The course aim is to understand principles of preclinical research and models of human disease that promote translation to early phase clinical trials. The syllabus includes a mix of short lectures, debate sessions, one-on-one and group discussions, along with student presentations on topical research oriented questions. This course is designed to align graduate students with the current trends in modern medical training and be effective translators of discovery and knowledge. Prerequisite: consent of Department.

The course aim is to understand the principles in the conduct of early-phase versus large clinical trials and the requirements for successful translation of preclinical research: traditional and novel trial designs, endpoints, statistical challenges, regulatory and funding challenges, structure of translational teams and knowledge translation will be discussed. The syllabus includes a mix of short lectures, debate sessions, one-on-one and group discussions, along with student presentations on topical research oriented questions. This course will support graduate students to be effective translators of discovery and knowledge. Prerequisite: Mandatory for graduate students enrolled in MSc in Medicine -Translational Medicine; consent of Department.

The course aim is to recognize the role of biomarkers in clinical research, including early phase trials and clinical care. Principles for the discovery of novel biomarkers at the preclinical and clinical level will be discussed. The syllabus includes a mix of short lectures, debate sessions, one-on-one and group discussions, along with student presentations on topical research oriented questions. This course is designed to align graduate students with the current trends in modern medical training and be effective translators of discovery and knowledge. Prerequisite: consent of Department.

The course aim is to discuss the principles of candidate drug targets in disease and drug design The importance of drug target validation at the cellular level, preclinical level and in clinical studies will be discussed. The syllabus includes a mix of short lectures, debate sessions, one-on-one and group discussions, along with student presentations on topical research oriented questions. This course is designed to align graduate students with the current trends in modern medical training and be effective translators of discovery and knowledge. Prerequisite: consent of Department.

The focus is on providing the background knowledge, methodological skills, and a clear understanding of all steps involved in conducting systematic reviews and meta-analyses, with a focus on knowledge synthesis of intervention and observational research. Topics include developing a research question, literature searching, managing references, study selection, bias assessment, data extraction, synthesizing evidence, heterogeneity, interpretation and grading of evidence, and systematic reviews on topics addressing equity-seeking populations. Students will develop their own research question and generate a systematic review as they progress through the course. Prerequisites: Basic knowledge of health research methods, and biostatistics or permission from the instructor.

The purpose of this course is to train graduate students in preparing grant applications in order to improve their chances of future success in obtaining research funds from a major Canadian federal funding agency such as the Canadian Institutes of Health Research. The course is targeted primarily towards students who have completed at least one year of graduate work. Preference will be given to those planning to pursue a PhD. Throughout the course, students will be instructed on how to prepare a complete grant application package on a topic that is different from their graduate project. The proposal will be prepared in stages and completed two weeks prior to the end of the semester. Students will then prepare and give presentations for a mock site visit by the funding agency. Students will also participate in a mock peer review committee and make final funding decisions. Enrolment is limited, and registration is by permission of the Department. May not be taken for credit if credit has already been obtained in NEURO 621.

A biweekly lecture course covering the important aspects of becoming a clinical investigator. Each session will include a lecture followed by a full class discussion and take home assignments related to the lecture. The topics include: clinical trial design, bioethics, biostatistics, literature appraisal, grant writing, manuscript writing, slide presentation for oral presentations, teaching enhancement, time management, ethics of industry liaisons, linking basic bench research to the bedside, technology transfer, career opportunities. Prerequisite: consent of Department.

A biweekly lecture course covering the important aspects of becoming a clinical investigator. Each session will include a lecture followed by a full class discussion and take home assignments related to the lecture. The topics include: clinical trial design, bioethics, biostatistics, literature appraisal, grant writing, manuscript writing, slide presentation for oral presentations, teaching enhancement, time management, ethics of industry liaisons, linking basic bench research to the bedside, technology transfer, career opportunities. Prerequisite: consent of Department.

A general seminar course covering recent advances across the field of biomedical research. Research topics will feature the areas of research being investigated by the graduate students and staff of the department. Other topics will provide for the acquisition of basic skills and knowledge in biomedical research and will include experimental design, critical review of the literature, communication skills, ethics of experimentation, and career development. Note: Restricted to graduate students in the Department of Medicine.

A general seminar course covering recent advances across the field of biomedical research. Research topics will feature the areas of research being investigated by the graduate students and staff of the department. Other topics will provide for the acquisition of basic skills and knowledge in biomedical research and will include experimental design, critical review of the literature, communication skills, ethics of experimentation, and career development. Note: Restricted to graduate students in the Department of Medicine.

[Strategic Training Fellow in Cardiovascular Research Tomorrow's Research Cardiovascular Health Professionals (TORCH)]. Is a lecture/seminar course designed to provide a comprehensive hands on exposure to a variety of research fields including Bio-medical, Clinical, Health Services, Social, Cultural, environmental and Population Health. This multidisciplinary approach will use seminars, debates, case studies, journal clubs and workshops to develop the skills and knowledge base required to implement collaborative cardiovascular research projects. Seminar topics to include: biostatistics and health economics, congestive heart failure, obesity, new technologies, vascular biology, women's issues in vascular medicine, endothelial dysfunction, and electrophysiology. Prerequisite: Restricted to students who have received consent from TORCH Executive Advisory Committee and the course coordinator.

[Strategic Training Fellow in Cardiovascular Research Tomorrow's Research Cardiovascular Health Professionals (TORCH)]. Is a lecture/seminar course designed to provide a comprehensive hands on exposure to a variety of research fields including Bio-medical, Clinical, Health Services, Social, Cultural, Environmental and Population Health. This multidisciplinary approach will use seminars, debates, case studies, journal clubs and workshops to develop the skills and knowledge base required to implement collaborative cardiovascular research projects. Seminar topics to include: biostatistics and health economics, congestive heart failure, obesity, new technologies, vascular biology, women's issues in vascular medicine, endothelial dysfunction, and electrophysiology. Prerequisite: Restricted to students who have received consent from TORCH Executive Advisory Committee and the course coordinator.

[Strategic Training Fellow in Cardiovascular Research Tomorrow's Research Cardiovascular Health Professionals(TORCH)]. Is a lecture/seminar course designed to provide a comprehensive hands on exposure to a variety of research fields including Bio-medical, Clinical, Health Services, Social, Cultural, environmental and Population Health. This multidisciplinary approach will use seminars, debates, case studies, journal clubs and workshops to develop the skills and knowledge base required to implement collaborative cardiovascular research projects. Seminar topics to include: stroke, hypertension, congenital heart disease, atherosclerosis, gene therapy, databases, aging, stents, MRI principles and the metabolic syndrome. Prerequisite: MED 700.

[Strategic Training Fellow in Cardiovascular Research Tomorrow's Research Cardiovascular Health Professionals (TORCH)]. Is a lecture/seminar course designed to provide a comprehensive hands on exposure to a variety of research fields including Bio-medical, Clinical, Health Services, Social, Cultural, Environmental and Population Health. This multidisciplinary approach will use seminars, debates, case studies, journal clubs and workshops to develop the skills and knowledge base required to implement collaborative cardiovascular research projects. Seminar topics to include: stroke, hypertension, congenital heart disease, atherosclerosis, gene therapy, databases, aging, stents, MRI principles and the metabolic syndrome. Prerequisite: MED 700.

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 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 151 or SCI 151. Credit will be granted for only one of MGTSC 312 and STAT 252.

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 instructor. Note: MICRB 423 and 523 cannot both be taken for credit.

Interactions between microorganisms and the environment. Topics include methods of sampling various environments, methods for monitoring microbial activities, petroleum microbiology, bioremediation, survival of airborne microorganisms, microbial metabolism of selected pollutants. Prerequisite: MICRB 265, corequisite: a 300-level Biological Sciences course or consent of Instructor. Note: Credit can be received in only one of MICRB 391, 491 and 591.

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.

Critical reading and discussion of scientific literature. Students will present scientific articles for group discussion and will also prepare a major literature review in their field of study. Topics covered will vary from year to year. Prerequisite: consent of instructor.

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.

Interactions between microorganisms and their environment. Topics include methods of sampling various environments, methods for monitoring microbial activities, petroleum microbiology, bioremediation, survival of airborne microorganisms, microbial metabolism of selected pollutants. Lectures and exams are the same as MICRB 491, but preparation of a major term paper and an oral presentation are required. Prerequisite: consent of instructor. Credit cannot be obtained for both MICRB 491 and 591.

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.

Conventional and geostatistical methods for construction of orebody models. Contouring techniques for mapping bounding surfaces of stratigraphic layers. Coordinate transforms and geometric techniques. Estimation and simulation methods for characterizing ore grade variability. Ore reserve classification, uncertainty assessment, mine selectivity, and grade control. Co-requisites: MATH 209, EAS 210, and MIN E 325.

Conventional and geostatistical methods for construction of orebody models. Contouring techniques for mapping bounding surfaces of stratigraphic layers. Coordinate transforms and geometric techniques. Estimation and simulation methods for characterizing ore grade variability. Ore reserve classification, uncertainty assessment, mine selectivity, and grade control. Co-requisites: MATH 209, EAS 210, and MIN E 325.

Conventional and geostatistical methods for construction of orebody models. Contouring techniques for mapping bounding surfaces of stratigraphic layers. Coordinate transforms and geometric techniques. Estimation and simulation methods for characterizing ore grade variability. Ore reserve classification, uncertainty assessment, mine selectivity, and grade control. 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. Drillhole databases; drillhole compositing; surfaces and solids; geological and economic block models; open pit mine layout and planning requirements; pit limit optimization; haul road design; pit and waste dump design; long and short-term mine production scheduling; cut-off grade optimization. Prerequisites: MIN E 295, CIV E 265.

Introduction to mine planning and design using professional software tools. Drillhole databases; drillhole compositing; surfaces and solids; geological and economic block models; open pit mine layout and planning requirements; pit limit optimization; haul road design; pit and waste dump design; long and short-term mine production scheduling; cut-off grade optimization. Prerequisites: MIN E 295, CIV E 265.

Introduction to mine planning and design using professional software tools. Drillhole databases; drillhole compositing; surfaces and solids; geological and economic block models; open pit mine layout and planning requirements; pit limit optimization; haul road design; pit and waste dump design; long and short-term mine production scheduling; cut-off grade optimization. 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. Cost estimation, commodity price modelling and revenue forecasts and taxation related to mine development. Economic evaluation of mining ventures, profitability, risks and uncertainty analyses. Commodity markets and mine management strategies. Weekly laboratory/tutorial sessions will address case studies and specific problems. Prerequisites: ENG M 310 or 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.

Formulation of models of engineering problems and industrial systems for experimentation using a general purpose simulation language. Statistical and operational validation of simulation results. Prerequisite: 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.