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Sections offered at an increased rate of fee assessment; refer to the Tuition and Fees page in the University Regulations sections of the Calendar.

Sections offered at an increased rate of fee assessment; refer to the Tuition and Fees page in the University Regulations sections of the Calendar.

Sections offered at an increased rate of fee assessment; refer to the Tuition and Fees page in the University Regulations sections of the Calendar.

Sections offered at an increased rate of fee assessment; refer to the Tuition and Fees page in the University Regulations sections of the Calendar.

Sections offered at an increased rate of fee assessment; refer to the Tuition and Fees page in the University Regulations sections of the Calendar.

Sections offered at an increased rate of fee assessment; refer to the Tuition and Fees page in the University Regulations sections of the Calendar.

Sections offered at an increased rate of fee assessment; refer to the Tuition and Fees page in the University Regulations sections of the Calendar.

Artificial Intelligence (AI) in multimedia covers a wide range of topics. In general, it means simulating human intelligence using computer algorithms. This course introduces a high level understanding of machine learning/deep learning, which is a branch of AI. The instructor may decide to include reinforcement learning and other aspects of neural networks, as well as natural language processing depending on the course schedule. Sections offered at an increased rate of fee assessment; refer to the Tuition and Fees page in the University Regulations sections of the Calendar.

Artificial Intelligence (AI) in multimedia covers a wide range of topics. In general, it means simulating human intelligence using computer algorithms. This course introduces a high level understanding of machine learning/deep learning, which is a branch of AI. The instructor may decide to include reinforcement learning and other aspects of neural networks, as well as natural language processing depending on the course schedule. Sections offered at an increased rate of fee assessment; refer to the Tuition and Fees page in the University Regulations sections of the Calendar.

Artificial Intelligence (AI) in multimedia covers a wide range of topics. In general, it means simulating human intelligence using computer algorithms. This course introduces a high level understanding of machine learning/deep learning, which is a branch of AI. The instructor may decide to include reinforcement learning and other aspects of neural networks, as well as natural language processing depending on the course schedule. Sections offered at an increased rate of fee assessment; refer to the Tuition and Fees page in the University Regulations sections of the Calendar.

The multimedia pipeline includes data acquisition, processing, transmission and visualization, as well as quality assessment. Over the years, state-of-the-art techniques have been developed in these areas. Nevertheless, emerging technologies in hardware, systems and tools necessitate continuous evolution of multimedia algorithms and inventions. Driven by industrial demands and consumer preferences, recent advances, e.g. Internet-of-Things, Cloud Computing, High Dynamic Display, visual recognition, multimedia mining and so on, have brought revolution in multimedia research and development. This course intends to introduce some latest hot topics in multimedia so that students understand industrial requirements and applications, and prepare for their careers. Sections offered at an increased rate of fee assessment; refer to the Tuition and Fees page in the University Regulations sections of the Calendar.

The multimedia pipeline includes data acquisition, processing, transmission and visualization, as well as quality assessment. Over the years, state-of-the-art techniques have been developed in these areas. Nevertheless, emerging technologies in hardware, systems and tools necessitate continuous evolution of multimedia algorithms and inventions. Driven by industrial demands and consumer preferences, recent advances, e.g. Internet-of-Things, Cloud Computing, High Dynamic Display, visual recognition, multimedia mining and so on, have brought revolution in multimedia research and development. This course intends to introduce some latest hot topics in multimedia so that students understand industrial requirements and applications, and prepare for their careers. Sections offered at an increased rate of fee assessment; refer to the Tuition and Fees page in the University Regulations sections of the Calendar.

The multimedia pipeline includes data acquisition, processing, transmission and visualization, as well as quality assessment. Over the years, state-of-the-art techniques have been developed in these areas. Nevertheless, emerging technologies in hardware, systems and tools necessitate continuous evolution of multimedia algorithms and inventions. Driven by industrial demands and consumer preferences, recent advances, e.g. Internet-of-Things, Cloud Computing, High Dynamic Display, visual recognition, multimedia mining and so on, have brought revolution in multimedia research and development. This course intends to introduce some latest hot topics in multimedia so that students understand industrial requirements and applications, and prepare for their careers. Sections offered at an increased rate of fee assessment; refer to the Tuition and Fees page in the University Regulations sections of the Calendar.

The multimedia pipeline includes data acquisition, processing, transmission and visualization, as well as quality assessment. Over the years, state-of-the-art techniques have been developed in these areas. Nevertheless, emerging technologies in hardware, systems and tools necessitate continuous evolution of multimedia algorithms and inventions. Driven by industrial demands and consumer preferences, recent advances, e.g. Internet-of-Things, Cloud Computing, High Dynamic Display, visual recognition, multimedia mining and so on, have brought revolution in multimedia research and development. This course intends to introduce some latest hot topics in multimedia so that students understand industrial requirements and applications, and prepare for their careers. Sections offered at an increased rate of fee assessment; refer to the Tuition and Fees page in the University Regulations sections of the Calendar.

The multimedia pipeline includes data acquisition, processing, transmission and visualization, as well as quality assessment. Over the years, state-of-the-art techniques have been developed in these areas. Nevertheless, emerging technologies in hardware, systems and tools necessitate continuous evolution of multimedia algorithms and inventions. Driven by industrial demands and consumer preferences, recent advances, e.g. Internet-of-Things, Cloud Computing, High Dynamic Display, visual recognition, multimedia mining and so on, have brought revolution in multimedia research and development. This course intends to introduce some latest hot topics in multimedia so that students understand industrial requirements and applications, and prepare for their careers. Sections offered at an increased rate of fee assessment; refer to the Tuition and Fees page in the University Regulations sections of the Calendar.

The multimedia pipeline includes data acquisition, processing, transmission and visualization, as well as quality assessment. Over the years, state-of-the-art techniques have been developed in these areas. Nevertheless, emerging technologies in hardware, systems and tools necessitate continuous evolution of multimedia algorithms and inventions. Driven by industrial demands and consumer preferences, recent advances, e.g. Internet-of-Things, Cloud Computing, High Dynamic Display, visual recognition, multimedia mining and so on, have brought revolution in multimedia research and development. This course intends to introduce some latest hot topics in multimedia so that students understand industrial requirements and applications, and prepare for their careers. Sections offered at an increased rate of fee assessment; refer to the Tuition and Fees page in the University Regulations sections of the Calendar.

The multimedia pipeline includes data acquisition, processing, transmission and visualization, as well as quality assessment. Over the years, state-of-the- art techniques have been developed in these areas. Nevertheless, emerging technologies in hardware, systems and tools necessitate continuous evolution of multimedia algorithms and inventions. Driven by industrial demands and consumer preferences, recent advances, e.g. Internet-of-Things, Cloud Computing, High Dynamic Display, visual recognition, multimedia mining and so on, have brought revolution in multimedia research and development. This course intends to introduce some latest hot topics in multimedia so that students understand industrial requirements and applications, and prepare for their careers. Sections offered in a Cost Recovery format at an increased rate of fee assessment; refer to the Fees Payment Guide in the University Regulations and Information for Students.

The multimedia pipeline includes data acquisition, processing, transmission and visualization, as well as quality assessment. Over the years, state-of-the- art techniques have been developed in these areas. Nevertheless, emerging technologies in hardware, systems and tools necessitate continuous evolution of multimedia algorithms and inventions. Driven by industrial demands and consumer preferences, recent advances, e.g. Internet-of-Things, Cloud Computing, High Dynamic Display, visual recognition, multimedia mining and so on, have brought revolution in multimedia research and development. This course intends to introduce some latest hot topics in multimedia so that students understand industrial requirements and applications, and prepare for their careers. Sections offered in a Cost Recovery format at an increased rate of fee assessment; refer to the Fees Payment Guide in the University Regulations and Information for Students.

The multimedia pipeline includes data acquisition, processing, transmission and visualization, as well as quality assessment. Over the years, state-of-the- art techniques have been developed in these areas. Nevertheless, emerging technologies in hardware, systems and tools necessitate continuous evolution of multimedia algorithms and inventions. Driven by industrial demands and consumer preferences, recent advances, e.g. Internet-of-Things, Cloud Computing, High Dynamic Display, visual recognition, multimedia mining and so on, have brought revolution in multimedia research and development. This course intends to introduce some latest hot topics in multimedia so that students understand industrial requirements and applications, and prepare for their careers. Sections offered in a Cost Recovery format at an increased rate of fee assessment; refer to the Fees Payment Guide in the University Regulations and Information for Students.

The multimedia pipeline includes data acquisition, processing, transmission and visualization, as well as quality assessment. Over the years, state-of-the- art techniques have been developed in these areas. Nevertheless, emerging technologies in hardware, systems and tools necessitate continuous evolution of multimedia algorithms and inventions. Driven by industrial demands and consumer preferences, recent advances, e.g. Internet-of-Things, Cloud Computing, High Dynamic Display, visual recognition, multimedia mining and so on, have brought revolution in multimedia research and development. This course intends to introduce some latest hot topics in multimedia so that students understand industrial requirements and applications, and prepare for their careers. Sections offered in a Cost Recovery format at an increased rate of fee assessment; refer to the Fees Payment Guide in the University Regulations and Information for Students.

Two-Week Kick Start Bootcamp: Embark on a seamless learning journey as students engage in a well-rounded experience to master two essential programming languages - Python and R. Restricted to students registered in the MMA Program. Non-MMA students require consent of home dept and the Masters Programs Office.

Students are introduced to business fundamentals in the first session followed by second session that delves deep into the dynamic world of data-driven strategy, cultivating invaluable skills in utilizing data to frame decisions effectively. Restricted to students registered in the MMA Program. Non-MMA students require consent of home dept and the Masters Programs Office.

The goal of the Machine Learning for Business course is to utilize machine learning techniques to transform raw data into valuable insights that can inform business strategies. This course demands a solid grasp of technical data handling methods as well as business goals. It involves an overview of various machine learning approaches, such as supervised and unsupervised learning, and their practical uses in business scenarios. Restricted to students registered in the MMA Program. Non-MMA students require consent of home dept and the Masters Programs Office.

This course equips students with the ability to turn raw data into meaningful visualizations and communicate these insights in a business context. It covers the essentials of effective data visualization, visual design principles, and storytelling with data. Through hands-on practice with tools like Tableau and Excel, students will learn to create and interpret various visualizations, focusing on selecting the most appropriate visual forms to accurately reflect data and address business queries. Restricted to students registered in the MMA Program. Non-MMA students require consent of home dept and the Masters Programs Office.

Provides students with an understanding of the critical role of databases in business analytics, focusing on the principles of database systems, design, implementation, and utilization in a business context. students are introduced to fundamental concepts of data and information management. Restricted to students registered in the MMA Program. Non-MMA students require consent of home dept and the Masters Programs Office.

This course provides students with a robust foundation in statistical principles and techniques, alongside essential skills in descriptive analytics and causal inference. Students will develop strong analytical skills and gain hands-on experience with statistical software. Further delving into time series analysis, multivariate analysis and enhanced predictive modeling. Students will also gain proficiency in experimental design including ANOVA and A/B testing. Restricted to students registered in the MMA Program. Non-MMA students require consent of home dept and the Masters Programs Office.

Builds upon the foundational knowledge students acquired in Machine Learning for Business I, diving deeper into the specialized applications of machine learning techniques to unstructured data. By exploring areas such as text analytics, network analytics, recommender systems, and deep learning applications, students will gain a robust understanding of how to handle and analyze unstructured data such as text and images, which constitute a significant proportion of the data businesses encounter Restricted to students registered in the MMA Program. Non-MMA students require consent of home dept and the Masters Programs Office.

This course is designed to provide a foundation of prescriptive analytics based on mathematical modeling and optimization for managerial decision-making. Topics covered in the course include decision analysis; simulation modeling; constraint programming and constraint-based optimization; network optimization and graph algorithms; optimization under uncertainty; application of prescriptive analytics techniques in various industries; integration of predictive and prescriptive analytics; and practical implementation of prescriptive analytics techniques to solve real-world problems. By the end of the course, students will have a solid understanding of prescriptive analytics techniques and their practical applications. Restricted to students registered in the MMA Program. Non-MMA students require consent of home dept and the Masters Programs Office.

This comprehensive course, co-taught by a panel of expert instructors, aims to provide students with an in-depth understanding of how artificial intelligence (AI) technologies are applied in real-world business settings. It introduces students to a range of AI applications across different industries and functional areas, highlighting the transformative potential of AI in driving innovation, improving operational efficiency, and creating competitive advantages. Restricted to students registered in the MMA Program. Non-MMA students require consent of home dept and the Masters Programs Office.

This course focuses on the ethical and legal considerations in artificial intelligence (AI) and data analytics, fields that are evolving rapidly and prompting novel ethical and regulatory concerns. It will cover subjects such as data privacy, fairness in algorithms, interpretability, and accountability. Participants will be educated on the responsible and ethical application of AI and data analytics technologies. Restricted to students registered in the MMA Program. Non-MMA students require consent of home dept and the Masters Programs Office.

This course represents the apex of the MMA program, extending over two semesters, and offers students an immersive, real-world experience in analytics. The Analytics Capstone Project serves as a significant demonstration of the students' analytical skills and their capacity to make data-informed decisions in intricate business environments. Restricted to students registered in the MMA Program. Non-MMA students require consent of home dept and the Masters Programs Office.

This course represents the apex of the MMA program, extending over two semesters, and offers students an immersive, real-world experience in analytics. The Analytics Capstone Project serves as a significant demonstration of the students' analytical skills and their capacity to make data-informed decisions in intricate business environments. Restricted to students registered in the MMA Program. Non-MMA students require consent of home dept and the Masters Programs Office.

This course combines advanced data analytics and technology, essential for modern accounting, as part of the Master of Management Analytics program. It is structured into two main parts: Data Analytics and Technology Integration in Accounting, with a strong emphasis on practical learning. Students will use data analytics tools like OLS, logistic and probit regressions, and optimization analysis to address various accounting challenges. The curriculum covers financial and managerial accounting, auditing, and taxation, focusing on problem-solving and decision-making. This prepares students for roles in audit risk assessment, audit procedures, and strategic tax planning and compliance. Restricted to students registered in the MMA Program. Non-MMA students require consent of home dept and the Masters Programs Office.

This course integrates financial skills with data science for enterprise decision-making, structured into four key sections. It covers core financial modeling skills, including interest rate discounting and uncertainty modeling, and explores Real Optionality to understand how management decisions and uncertainties affect valuation, focusing on NPV@Risk. The section on Decision Quality (DQ) delves into its relevance in business, biases, risk definition differences in finance and enterprise, and practical implementation strategies. Lastly, the course emphasizes creating interactive Data Science applications, teaching students to develop apps for engaging senior management, with all content exclusively using R programming. Restricted to students registered in the MMA Program. Non-MMA students require consent of home dept and the Masters Programs Office.

This course prepares students to tackle complex business logistics challenges using advanced analytics techniques such as regression, optimization, and simulation. It focuses on key areas like inventory management, site selection, revenue optimization, and transportation logistics, emphasizing data-driven approaches for cost minimization, operational efficiency, and market responsiveness. Students will apply real-world data to enhance supply chain operations, including developing effective pricing strategies and optimizing delivery routes. The course offers hands-on experience with extensive supply chain datasets, equipping students with the skills to turn data into actionable insights for innovative and efficient supply chain management. Restricted to students registered in the MMA Program. Non-MMA students require consent of home dept and the Masters Programs Office.

This marketing course equips students with tools to generate actionable insights by understanding consumers and market trends. It focuses on designing analytical plans to tackle marketing problems, covering aspects from data collection to communicating findings. Key skills include measuring variables, choosing appropriate analytical methods, interpreting data analysis techniques, and effective storytelling. The course prepares students for roles in marketing analytics across various sectors and emphasizes a hands-on approach, with project design and data analysis in class. Upon completion, students will be proficient in areas like marketing research, experimental design (e.g., A/B testing), data collection, regression analysis, segmentation, machine learning applications in marketing, and results communication. Restricted to students registered in the MMA Program. Non-MMA students require consent of home dept and the Masters Programs Office.

This course is a gateway to healthcare analytics, teaching students how data reshapes healthcare strategy and improves patient care quality. It covers extracting and processing data from various sources like electronic health records and wearable devices, and advanced analytics techniques such as predictive modeling and machine learning for patient outcomes and diagnostics. Students will understand the ethical and legal aspects of handling sensitive patient data and learn to optimize healthcare operations like patient flow and resource allocation. The course emphasizes data-driven decision-making, with practical applications through case studies, projects, and guest lectures from industry experts, fostering interdisciplinary expertise to tackle healthcare challenges. Restricted to students registered in the MMA Program. Non-MMA students require consent of home dept and the Masters Programs Office.

This course is designed to prepare future managers to effectively integrate data science and business analytics into strategic decision-making. It provides an overview of how these functions can harmonize to create effective strategies while highlighting the pitfalls of poor integration. Students will learn about strategic vision, data-driven decision frameworks, competitive intelligence, risk assessment, and the use of performance metrics for continuous improvement. The course includes real-world case studies to apply theory to practice and emphasizes ethical considerations in data strategy, focusing on responsible data use, transparency, and privacy. By the end, students will understand the interplay between data science and business analytics and be able to develop strategies aligned with organizational goals. Restricted to students registered in the MMA Program. Non-MMA students require consent of home dept and the Masters Programs Office.

Introductory course in medical microbiology designed for students enrolled in health care related programs. The course begins with basic information on microorganisms (bacteria, viruses, fungi, parasites and prions), the immune system, infection control, transmission of infection, epidemiology, antimicrobials, disinfection and sterilization. The later part of the course concentrates on infectious diseases caused by pathogenic organisms. Nursing students must achieve a minimum grade of C+ in order to progress in their program.

Medically important bacteria, how they cause disease and the body's immune response to bacteria. Lectures will systematically discuss the organisms and describe their distinctive as well as their common features of structure and pathogenicity. Prerequisites: MICRB 265 and IMIN 200. May not be taken for credit if credit already obtained in MLSCI 242 or 243.

This laboratory course will emphasize development of skills and knowledge for the safe handling of infectious microorganisms and will examine some of the molecular mechanisms of microbial virulence. Prerequisite or corequisite: MMI 351 or MLSCI 242 and 243 or consent of the Department.

This laboratory course will introduce the student to common techniques in molecular biology. Through a series of experiments, students will clone and express the genes for bioluminescence from the light-emitting bacterium Vibrio fischeri. Technical skills will include: preparation and quantification of genomic and plasmid DNAs, screening a genomic library, restriction mapping, amplification of DNA fragments using the polymerase chain reaction, Southern blotting, expression and purification of proteins, and detection of proteins by Western blotting. Prerequisites: IMIN 200 and departmental consent. Priority given to Honors students in the IMIN program. Credit may be obtained for only one of BIOL 391, IMIN 391 or MMI 391.

Directed research done under the supervision of an academic member of the Department of Medical Microbiology & Immunology, Faculty of Medicine & Dentistry. This is normally for students in their third year. Successful completion of this course requires an oral presentation of the project. Prerequisite: IMIN 200 and consent of course coordinator. Credit can only be obtained once.

This course will focus on concepts and mechanisms of microbial pathogenesis by discussing a combination of classic and current papers. Essentially a paper dissection course, emphasis will be on experimental approaches, their strengths and limitations. Student-run seminars will be used to facilitate interactive learning. Prerequisites: BIOCH 200 and MMI 351 or MLSCI 242 or 243 or consent of the Department.

This course focuses on current and historically important topics in virology, to provide advanced understanding of the mechanisms of virus replication, virus-host interactions, therapies and vaccines for pathogenic viruses and applications of viruses for human health, agricultural or ecological benefits. Scientific literature is incorporated to better understand research approaches in virology. The course combines lecture-based classes with discussion of scientific literature, and student presentations. Prerequisites: BIOCH 200, IMIN 324 and IMIN 371, or consent of Department.

A survey of the protozoan and metazoan parasites of man. Emphasis will be placed on biology, epidemiology, clinical presentation and approaches to parasite detection, as well as global impact of parasitic diseases in today's world. Selected parasites will be demonstrated in class to supplement electronic images shown in the lectures. Prerequisite: MMI 133, MLSCI 242 and MLSCI 243, or IMIN 200.

This course will introduce the student to inflammation and its role in a range of diseases. An overview is provided on acute and chronic inflammation. The diseases included will cover inflammatory respiratory and cardiovascular diseases, such as allergy and atherosclerosis, infection, cancer, neuroinflammation and autoimmunity. The course includes a mix of lectures and current topics discussions for students to present on recent advances in inflammation. Pre-requisites: IMIN 371 and instructor consent.

This course will focus on the interactions between clinically relevant microorganisms and the host. Topics include important issues and contemporary problems in clinical microbiology regarding infectious diseases relevant to health care. Aspects that will be studied are: pathogenesis, epidemiology, immune responses, treatment and infection control. Recent advances in vaccines, laboratory diagnosis and techniques will be included. Prerequisites: MMI 133, or MLSCI 242 and MLSCI 243, or IMIN 200, or consent of department.

This lab-based course will introduce students to advanced molecular techniques for the examination of host-microbial interactions. Students will be introduced to the principles and applications of molecular and diagnostic techniques for the characterization of interactions between host cells and microbial pathogens. Key techniques include flow cytometry, fluorescence imaging, high-throughput RNA interference assays and high-content imaging. Prerequisites: IMIN 200 and IMIN 371.

Directed research on a specific topic in medical microbiology or immunology in the laboratory of an academic staff member associated with MMI. Can be taken for credit more than once. An oral presentation on the research project is required for completion of the course. Pre- or corequisites: IMIN 324 or 371 or 452 or MMI 351 and/or consent of Department.

Directed research project on a specific topic in medical microbiology or immunology in the laboratory of an academic staff member associated with MMI. An oral presentation and a written report on the research project is required for completion of the course. Pre- or corequisites: IMIN 324 or 371 or 452 or MMI 351 and/or consent of the Department.

Directed research project on a specific topic in medical microbiology or immunology in the laboratory of an academic staff member associated with MMI. An oral presentation and a written report on the research project is required for completion of the course. Pre- or corequisites: IMIN 324 or 371 or 452 or MMI 351 and/or consent of the Department.

The objective of this course is to develop skills in critical analysis of research in the fields of microbial pathogenesis and the immune system through facilitated dissection of selected recent publications. Discussion will focus on developing hypothesis, evaluating experimental design and interpretation of results, and formulating future directions. Students will present a paper to the department and receive feedback. Required course. Open to graduate students in Medical Microbiology and Immunology only.

A course designed to provide graduate students with the skills necessary to succeed in their graduate programs. Course topics will vary year-to-year, but will include activities that develop scientific writing and presentation skills, and other skills required of scientists. Prerequisites: None. Open to graduate students in the Department of Medical Microbiology and Immunology. Prerequisites: consent of department.

This course will focus on concepts and mechanisms of microbial pathogenesis by discussing a combination of classic and current papers. Essentially a paper dissection course, emphasis will be on experimental approaches, their strengths and limitations. Student-run seminars will be used to facilitate interactive learning. Lectures and seminars are the same as for MMI 405 but there will be an additional requirement of a written research proposal. This course may not be taken if credit has already been obtained in MMI 405. Consent of Department required.

This course will introduce the student to common and advanced methods in bioinformatics. In lectures and hands-on computer sessions, the student will solve realistic biological questions in the areas of sequence analysis, distant homology detection, phylogeny, correlation of sequence to structure, protein structure analysis, and genomics. While the student will obtain a thorough understanding of bioinformatics methods, the focus is on application of methods in the context of molecular biology research rather than on details of algorithms or computer programming. As a final assignment students will write a mini-proposal for a molecular biology research project that incorporates a series of bioinformatics studies to complement and guide the experimental work. May not be taken for credit if credit has already been obtained in IMIN 410. Prerequisites: departmental consent. Priority given to MMI graduate students.

This course focuses on current and historically-important topics in virology, to provide advanced understanding of the mechanisms of virus replication, virus-host interactions, therapies and vaccines for pathogenic viruses and applications of viruses for human health, agricultural or ecological benefits. The course combines lecture-based classes with discussion of scientific literature, covering research approaches in virology, and student presentations. For MMI 515, lectures are the same as MMI 415, but there will be an additional assignment for MMI 515 students. This course may not be taken for credit if credit has already been obtained for MMI 415. Consent of Department required.

This course will introduce the student to inflammation and its role in a range of diseases. An overview is provided on acute and chronic inflammation. The diseases included will cover inflammatory respiratory and cardiovascular diseases, such as allergy and atherosclerosis, infection, cancer, neuroinflammation and autoimmunity. The course includes a mix of lectures and current topics discussions for students to present on recent advances in inflammation. Lectures are the same as for MMI 436, but there will be additional assignments for MMI 536. May not be taken for credit if credit has already been obtained in MMI 436 or MED 536. Co/Prerequisites: Instructor consent required.

This course will focus on the interactions between clinically relevant microorganisms and the host. Topics include important issues and contemporary problems in clinical microbiology regarding infectious diseases relevant to health care. Aspects that will be studied are: pathogenesis, epidemiology, immune responses, treatment and infection control. Recent advances in vaccines, laboratory diagnosis and techniques will be included. Lectures are the same as for MMI 445, but there will be an additional assignment for MMI 545. May not be taken for credit if credit has already been obtained in MMI 445. Consent of Department required.

A lecture course on the detailed mechanisms of the immune system, describing recent discoveries in cellular and molecular immunology. Topics include the mechanism of T-cell receptor selection, antigen processing, activation of B and T lymphocytes, cellular collaboration, negative and positive regulatory mechanisms in immunity, transplantation, cytokine actions and interactions, interaction between immune systems and pathogens, and immunogenetics. Lectures are the same as IMIN 452, but there will be an additional requirement of a written paper to evaluate a current topic in immunology. May not be taken for credit if credit has already been obtained for IMIN 452. Consent of Department required.

This lab-based course will introduce students to advanced molecular techniques for the examination of host-microbial interactions. Students will be introduced to the principles and applications of molecular and diagnostic techniques for the characterization of interactions between host cells and microbial pathogens. Key techniques include flow cytometry, fluorescence imaging, high-throughput RNA interference assays and high-content imaging. Upon completion, students will be required to design a proposal for the integration of course techniques with their thesis research projects. Prerequisite: consent of department. Credit cannot be given for 590 if students have already received credit for 490.

Selected topics in infections and immunity are explored in depth through evaluation of the primary research literature. Emphasis is on the molecular and cellular mechanisms underlying pathogenesis, host resistance, and immune regulation. Information is provided through selected readings and student seminar presentations. The primary objective is to introduce students to current research topics in infection and immunity, and develop their ability to critically evaluate, organize, and present scientific information.

Ce cours propose une introduction aux méthodes de recherche propres aux disciplines scientifiques. Les sujets abordés comprennent la philosophie des sciences, la méthode scientifique, la recherche fondée sur des hypothèses, la recherche et l'examen de la littérature, l'élaboration d'un plan de recherche, l'établissement d'un budget de recherche, la présentation et la communication de la recherche et les meilleures pratiques en recherche expérimentale, théorique et informatique.

Ce cours présente les concepts expérimentaux et les méthodes d'analyses statistiques des données qui sont couramment utilisés dans la recherche scientifique, y compris corrélation, régression et analyse de la variance. L'objectif principal porte sur l'analyse des plans de variance et leur application. Les sujets incluent les concepts de conception, représentations de modèles linéaires, tests d'hypothèses et interprétation des résultats. Une composante majeure implique un examen de la méthodologie statistique et des hypothèses sous-tendant chacun des designs empiriques.

Études dirigées dans le cadre de la maîtrise en science se terminant avec un examen de synthèse écrit et une proposition de projet.

The discipline of Media Studies, how it has developed, its historical objects and contemporary tools of study, and how it contributes to our understanding of culture.

A genealogy of advanced Media Studies theories and approaches in their historical contexts. Prerequisite: MST 100.

Key topical and changing trends and issues in contemporary media culture. Prerequisite: MST 100.

Prerequisite: MST100 or consent of the Program Administrator. May be repeated for credit when course content differs.

A survey of research methods in media studies, including quantitative and qualitative methods, media archaeology, as well as practical forms of research creation. Prerequisite: MST 100.

Theoretical and cultural issues surrounding the political-economic structures, institutions, and power relations of media. Prerequisite: MST 100.

Beginning with an exploration of games in general and leading to modern video games. Prerequisite: CMPUT 250 or consent of the Program. Not open to students with credit in STS 350, STS 351, or MST 351.

Beginning with an exploration of games in general and leading to modern video games. This course will be delivered on-line and is offered at an increased rate of fee assessment; refer to the Tuition and Fees page in the University Regulations sections of the Calendar. Not open to students with credit in STS 350, STS 351, or MST 350.

Prerequisite: MST 100 or consent of the Program Administrator.

In this capstone course, students will produce individually or collaboratively designed and executed analytic or creative projects. Prerequisites: MST 100, 200, 210, 300 and 310 or consent of the Program Administrator.

Prerequisite: consent of the Program Administrator.

Prerequisite: consent of the Program Administrator.

Fundamentals of music theory approached through aural and written training. Note: Not available for degree credit to students enrolled in a BMus (all routes) degree program.

A study of music literature with an emphasis on listening and analytical tools. A brief survey of the history of Western music will be included. Not available for degree credit to BMus (all routes) students.

Not available to students with credit in MUSIC 165.

A survey of popular music's development as a category of musical and cultural practice, an industry and an object of study, during the twentieth century.

Restricted to BMus (all routes), BMus/BEd, and BEd students majoring in secondary music education. Twenty-six half-hour lessons tor two terms. Prerequisite: consent of Department.

Restricted to BMus (all routes), BMus/BEd, and BEd students majoring in secondary music education. Twenty-six half-hour lessons for two terms. Prerequisite: consent of Department.

For non-BMus students. Thirteen one-hour lessons for one term. Prerequisite: consent of Department, based on audition.

Restricted to BMus (all routes) and BMus/BEd students.

Restricted to BMus (all routes) and BMus/BEd students.

For non-BMus students. Twenty-six half-hour lessons for two terms. Prerequisite: consent of Department, based on audition.

For non-BMus students. Twenty-six half-hour lessons for two terms. Prerequisite: consent of Department, based on audition.

For non-BMus students. Twenty-six one-hour lessons for two terms. Prerequisite: consent of Department, based on audition.

For non-BMus students. Twenty-six one-hour lessons for two terms. Prerequisite: consent of Department, based on audition.

Prerequisite: consent of Department. Restricted to BMus (all routes), BMus/BEd, and BA (Honors) Music Major students.

Prerequisite: consent of Department. Restricted to BMus (all routes), BMus/BEd, and BA (Honors) Music Major students.

Restricted to BMus (all routes), BMus/BEd, and BEd students majoring in secondary music education. Thirteen one-hour lessons for one term. Prerequisite: consent of Department.

Concert Choir or Madrigal Singers. Prerequisite: consent of Department, based on audition.

Concert Choir or Madrigal Singers. Prerequisite: consent of Department, based on audition.

Wind Ensemble, University Symphony Orchestra, or Concert Band. Prerequisite: consent of Department based on audition.

Wind Ensemble, University Symphony Orchestra, or Concert Band. Prerequisite: consent of Department based on audition.

The classical music of India, through group instruction in singing, tabla (drums), sitar (plucked lute), sarangi (bowed lute), bansuri (flute), harmonium, ensemble performance, and related readings, films, and discussions. A set of instruments will be available. The ability to read music is not required. Course may be repeated where topics vary. Prerequisite: consent of Department based on assessment in the first class.