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As a part of a clinical laboratory education for Medical Laboratory Science students, this course will provide experience in a modern hospital clinical biochemistry laboratory along with weekly tutorials followed by comprehensive theoretical and practical examinations.

As a part of a clinical laboratory education for Medical Laboratory Science students, this course will provide experience in a modern hospital transfusion service laboratory, along with weekly tutorials, followed by comprehensive theoretical and practical examinations.

As a part of a clinical laboratory education for Medical Laboratory Science students, this course will provide experience in a modern hospital transfusion service laboratory, along with weekly tutorials, followed by comprehensive theoretical and practical examinations.

Continuation of the introduction to Indigenous peoples' histories, experiences and knowledge systems. Students will explore the connections between these concepts and health professional practice. Indigenous educators, faculty members, professional practitioners and Elders will be engaged in the learning process. Prerequisite MLSCI 290.

Directed research in a medical laboratory science. Supervisor and research project to be chosen by student. Requires writing a project proposal, keeping an accurate laboratory notebook, conducting adequate experimental research, writing a research paper and presenting a short seminar based on the research. Restricted to fourth-year Medical Laboratory Science students.

An introduction to the principles of management as they apply to clinical laboratories. Subject matter will include healthcare funding and allocation of funds, the management process in small and large clinical laboratories, performance appraisals, ethics and setting priorities for laboratory services. Prerequisite: consent of Division.

This course will examine the evolution of the Medical Laboratory Science from its inception to its current position within a complex healthcare system. After exploring the origins of the profession and the social and political forces that have shaped it, the focus will shift to the present day and possible future directions, drawing on examples and learnings from current literature. Prerequisites: consent of Division.

This course is designed to enhance the student's ability to assimilate new and specialized knowledge in an evolving hematology discipline. As such, the course content will change from year to year. Consent of Division is required for non-Medical Laboratory Science students.

Topics covered will include advanced flow cytometer principles, staining principles, instrument maintenance, quality control, and data analysis. Emphasis on the use/applications of flow cytometry in clinical environments. This course is designed for senior undergraduate students. Credit may only be obtained in one of MLSCI 435 or LABMP 536.

This course is designed to enhance the student's ability to assimilate new and specialized knowledge in the discipline of clinical biochemistry. As such, the course content will change from year to year. Consent of Division is required for non-Medical Laboratory Science students. Prerequisite: BIOCH 200 and MLSCI 360 or equivalents and consent of Division.

Topics covered will include advanced mass spectrometry principles, sample preparation instrument maintenance, quality control, and data analysis. Qualitative, quantitative and clinical applications of mass spectrometry will be covered. Emphasis on the use/applications mass spectrometry in clinical environments. This course is designed for senior undergraduate students. Credit may only be obtained in one of MLSCI 461 or LABMP 561.

A consideration of the protocols and their rationale used in a large toxicology laboratory. Topics include analytical, environmental, regulatory, and inhalation toxicology; clinical and forensic toxicology; and doping related to sports. Prerequisites: BIOCH 200 or equivalent and consent of Division.

The course provides a realistic, practical discussion on the role of diagnostic and public health microbiology laboratories in North America. It is designed to enhance the student's ability to assimilate new and specialized knowledge in an evolving clinical microbiology discipline from a multisectoral OneWorld Health perspective. The course content will revolve around case presentations related to current clinical microbiology topics, including diagnostic bacteriology, virology, mycology, parasitology, molecular diagnostic techniques, infection control and prevention strategies as well as new microbiology diagnostic technologies and emerging pathogens. Consent of Division is required for non-Medical Laboratory Science students. Prerequisite: MLSCI 340 or consent of Division. Credit can be obtained in only one of MLSCI 470 or LABMP 570.

The application of basic immunology concepts to disease and transplantation, and their monitoring by the clinical laboratory. Topics include the cellular and humoral immune responses, human immune development, immunology and cancer, immune deficiency, autoimmune disease, immunopathology, and transplant immunology. Prerequisite: IMIN 371 or equivalent and consent of Division.

Emphasis on the application of techniques of molecular genetics to the practice of Medicine. General subject areas include: organization of the genome, techniques of molecular genetics and their application to medicine, molecular genetics and oncology, and ethical issues involving these techniques as applied to medicine. Prerequisites: Genetics and BIOCH 200 or equivalent and consent of Division.

A laboratory course emphasizing introductory and advanced techniques in molecular biology. Isolation of RNA, construction of cDNA, amplification of DNA by the real time polymerase chain reaction, analysis of DNA by restriction digestion, transfection of eukaryotic cells for protein expression and Western blot analysis. Corequisite: MLSCI 480 or consent of Department. This course is designed for senior undergraduate students. Credit may only be obtained in one of MLSCI 481 or LABMP 581.

Directed research in a medical laboratory science. Supervisor and research project to be chosen by student. Requires writing a project proposal, keeping an accurate laboratory notebook, conducting adequate experimental research, writing a research paper and presenting a short seminar based on the research. Restricted to fourth-year Medical Laboratory Science students.

Directed research in a medical laboratory science. Supervisor and research project to be chosen by student. Requires writing a project proposal, keeping an accurate laboratory notebook, conducting adequate experimental research, writing a research paper and presenting a short seminar based on the research. Restricted to fourth-year Medical Laboratory Science students.

As a result of the advances in network infrastructures and increasing user participation in social media using displays ranging from IMAX theatres to home entertainment systems, and from desktops to handheld devices, problems associated with multimedia content encoding, e.g., HEVC, synchronization, scheduling and delivery, on top of potential packet loss, have increased significantly. These issues are particularly challenging in real-time applications. This course focuses on time and space optimization techniques with the goal to achieve Quality of Service (QoS) and Quality of Experience (QoE), taking perceptual quality into consideration, to support the communication and visualization of multimedia content transmitted over reliable as well as unreliable networks. Sections offered at an increased rate of fee assessment; refer to the Tuition and Fees page in the University Regulations sections of the Calendar.

As a result of the advances in network infrastructures and increasing user participation in social media using displays ranging from IMAX theatres to home entertainment systems, and from desktops to handheld devices, problems associated with multimedia content encoding, e.g., HEVC, synchronization, scheduling and delivery, on top of potential packet loss, have increased significantly. These issues are particularly challenging in real-time applications. This course focuses on time and space optimization techniques with the goal to achieve Quality of Service (QoS) and Quality of Experience (QoE), taking perceptual quality into consideration, to support the communication and visualization of multimedia content transmitted over reliable as well as unreliable networks. Sections offered at an increased rate of fee assessment; refer to the Tuition and Fees page in the University Regulations sections of the Calendar.

As a result of the advances in network infrastructures and increasing user participation in social media using displays ranging from IMAX theatres to home entertainment systems, and from desktops to handheld devices, problems associated with multimedia content encoding, e.g., HEVC, synchronization, scheduling and delivery, on top of potential packet loss, have increased significantly. These issues are particularly challenging in real-time applications. This course focuses on time and space optimization techniques with the goal to achieve Quality of Service (QoS) and Quality of Experience (QoE), taking perceptual quality into consideration, to support the communication and visualization of multimedia content transmitted over reliable as well as unreliable networks. Sections offered at an increased rate of fee assessment; refer to the Tuition and Fees page in the University Regulations sections of the Calendar.

Quality assessment of image and video (or 3D data) is essential in many applications, which deliver educational content, medical images, games, movies, video-on-demand and so on. In order to generate high quality image and video, especially given the sheer volume of consumer demand and under constrained resources, e.g., time and bandwidth, it is necessary to understand the image and video processing pipeline from the initial creation limitations to the final display at the receiver. This course focuses on reviewing various image/video processing techniques, as well as the quality assessment metrics proposed in the literature. Sections offered at an increased rate of fee assessment; refer to the Tuition and Fees page in the University Regulations sections of the Calendar.

Quality assessment of image and video (or 3D data) is essential in many applications, which deliver educational content, medical images, games, movies, video-on-demand and so on. In order to generate high quality image and video, especially given the sheer volume of consumer demand and under constrained resources, e.g., time and bandwidth, it is necessary to understand the image and video processing pipeline from the initial creation limitations to the final display at the receiver. This course focuses on reviewing various image/video processing techniques, as well as the quality assessment metrics proposed in the literature. Sections offered at an increased rate of fee assessment; refer to the Tuition and Fees page in the University Regulations sections of the Calendar.

Quality assessment of image and video (or 3D data) is essential in many applications, which deliver educational content, medical images, games, movies, video-on-demand and so on. In order to generate high quality image and video, especially given the sheer volume of consumer demand and under constrained resources, e.g., time and bandwidth, it is necessary to understand the image and video processing pipeline from the initial creation limitations to the final display at the receiver. This course focuses on reviewing various image/video processing techniques, as well as the quality assessment metrics proposed in the literature. Sections offered at an increased rate of fee assessment; refer to the Tuition and Fees page in the University Regulations sections of the Calendar.

Developing appealing graphics and animations has become a requirement in many industrial applications like entertainment, advertising and online education. Animation is effective in explaining abstract concepts in biology, physics and medicine. 3D graphics and simulation is also beneficial in surgical training and planning. This course is intended to provide discussions on graphics and animation techniques, including 3D data acquisition, processing, transmission and rendering. Students will have the opportunity to understand and compare various state-of-the-art techniques in 3D modeling, animation and special effects. Sections offered in a Sections may be offered at an increased rate of fee assessment; refer to the Tuition and Fees page in the University Regulations sections of the Calendar.

Developing appealing graphics and animations has become a requirement in many industrial applications like entertainment, advertising and online education. Animation is effective in explaining abstract concepts in biology, physics and medicine. 3D graphics and simulation is also beneficial in surgical training and planning. This course is intended to provide discussions on graphics and animation techniques, including 3D data acquisition, processing, transmission and rendering. Students will have the opportunity to understand and compare various state-of-the-art techniques in 3D modeling, animation and special effects. Sections offered in a Sections may be offered at an increased rate of fee assessment; refer to the Tuition and Fees page in the University Regulations sections of the Calendar.

Developing appealing graphics and animations has become a requirement in many industrial applications like entertainment, advertising and online education. Animation is effective in explaining abstract concepts in biology, physics and medicine. 3D graphics and simulation is also beneficial in surgical training and planning. This course is intended to provide discussions on graphics and animation techniques, including 3D data acquisition, processing, transmission and rendering. Students will have the opportunity to understand and compare various state-of-the-art techniques in 3D modeling, animation and special effects. Sections offered in a Sections may be offered at an increased rate of fee assessment; refer to the Tuition and Fees page in the University Regulations sections of the Calendar.

While traditional image and video remain at the core of multimedia content, 3D video is perceived as the next generation in video technology. 3D video incorporates the depth perspective which enables viewers to feel immersed in a more realistic environment. This course provides students with the latest 2D and 3D video developments and in particular relating to stereoscopic and multi- view with or without special eye-wear. Many of the techniques proposed on 3D video inherit much of the strengths from 2D video methods and computer vision techniques. The 3D component is also included in the latest HEVC standard. This course will focus on literature review and survey of these techniques. Group studies, discussions and presentations constitute the main thrust of the course. Sections may be offered at an increased rate of fee assessment; refer to the Tuition and Fees page in the University Regulations sections of the Calendar.

While traditional image and video remain at the core of multimedia content, 3D video is perceived as the next generation in video technology. 3D video incorporates the depth perspective which enables viewers to feel immersed in a more realistic environment. This course provides students with the latest 2D and 3D video developments and in particular relating to stereoscopic and multi- view with or without special eye-wear. Many of the techniques proposed on 3D video inherit much of the strengths from 2D video methods and computer vision techniques. The 3D component is also included in the latest HEVC standard. This course will focus on literature review and survey of these techniques. Group studies, discussions and presentations constitute the main thrust of the course. Sections may be offered at an increased rate of fee assessment; refer to the Tuition and Fees page in the University Regulations sections of the Calendar.

While traditional image and video remain at the core of multimedia content, 3D video is perceived as the next generation in video technology. 3D video incorporates the depth perspective which enables viewers to feel immersed in a more realistic environment. This course provides students with the latest 2D and 3D video developments and in particular relating to stereoscopic and multi- view with or without special eye-wear. Many of the techniques proposed on 3D video inherit much of the strengths from 2D video methods and computer vision techniques. The 3D component is also included in the latest HEVC standard. This course will focus on literature review and survey of these techniques. Group studies, discussions and presentations constitute the main thrust of the course. Sections may be offered at an increased rate of fee assessment; refer to the Tuition and Fees page in the University Regulations sections of the Calendar.

Virtual reality and augmented reality can provide an immersive environment where many scenarios can be simulated. For example, manufacturing and engineering tasks, medical planning and training, art and design, rehabilitation, Physics, Biology and Chemistry concept exploration and many others can benefit from a virtual reality environment . This course focuses on the challenges of setting up a user friendly virtual reality scene where users can interact in an intuitive and natural way. The use of interactive techniques and sensor-based devices, such as haptic and head-mount display, in creating a virtual environment for scientific analysis, visualization exploration and Tele-presence, as well as how mobile users can participate in these applications, will be discussed. Sections offered at an increased rate of fee assessment; refer to the Tuition and Fees page in the University Regulations sections of the Calendar.

Virtual reality and augmented reality can provide an immersive environment where many scenarios can be simulated. For example, manufacturing and engineering tasks, medical planning and training, art and design, rehabilitation, Physics, Biology and Chemistry concept exploration and many others can benefit from a virtual reality environment . This course focuses on the challenges of setting up a user friendly virtual reality scene where users can interact in an intuitive and natural way. The use of interactive techniques and sensor-based devices, such as haptic and head-mount display, in creating a virtual environment for scientific analysis, visualization exploration and Tele-presence, as well as how mobile users can participate in these applications, will be discussed. Sections offered at an increased rate of fee assessment; refer to the Tuition and Fees page in the University Regulations sections of the Calendar.

Virtual reality and augmented reality can provide an immersive environment where many scenarios can be simulated. For example, manufacturing and engineering tasks, medical planning and training, art and design, rehabilitation, Physics, Biology and Chemistry concept exploration and many others can benefit from a virtual reality environment . This course focuses on the challenges of setting up a user friendly virtual reality scene where users can interact in an intuitive and natural way. The use of interactive techniques and sensor-based devices, such as haptic and head-mount display, in creating a virtual environment for scientific analysis, visualization exploration and Tele-presence, as well as how mobile users can participate in these applications, will be discussed. 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.

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.

This course will introduce students to pathogens (viruses, bacteria, fungi, and parasites), the immune systems that have co-evolved to deal with these threats, and related topics such as vaccination and antibiotic resistance. This course is designed for individuals with little or no background in the biological sciences. Students from the Faculty of Science may not take this course for credit. Students in other programs should consult their program advisor to determine whether this course can be taken for credit.

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, asthma and allergy, chronic obstructive pulmonary disease (COPD), viral hepatitis, liver cancer, multiple sclerosis, chronic pain, diabetes, metabolic syndrome, obesity-related inflammation, rheumatoid arthritis, inflammatory bowel disease, and cardiovascular disease. The syllabus includes a mix of lectures and current topics discussions for students to present recent advances in inflammation. Pre- or co-requisites: IMIN 371 or 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.