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University of Toronto Faculty of Information Sessional Lecturer Fall Term 2025 (September - December) INF1343H – Data Modeling and Database Design Course Description: The purpose of this course is
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for culturing and screening high-fidelity models of functional tissues and diseases. In addition to fundamental capabilities like cell passaging and sample preparation, the platform will facilitate closed-loop
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | about 1 hour ago
supports the development and preparation of the long range plan, including developing complex financial models. This includes planning and overseeing the annual budget exercise for all Budget, Planning and
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Sessional Instructional Assistant - MAT309H5F - Introduction to Mathematical Logic (emergency postin
University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | about 1 hour agoto model theory, set theory, and computability; arithmetic as a central example. Gödel's incompleteness theorems; outlines of their proofs. This course emphasizes rigour. Estimated course enrolment: 25
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | about 1 hour ago
, applied tools used to scale applications on the desktop and in the cloud. Topics include caching, load balancing, parallel computing and models of computation, redundancy, failover strategies, use of GPUs
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: Course number and title: MIE1624F/S – Introduction to Data Science and Analytics Course description: The objective of the course is to learn analytical models and overview quantitative algorithms
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shaping policy, service delivery, and funding models through evidence-based research. Cross-Sector Collaboration: Building partnerships across healthcare, education, and social services to develop holistic
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | 3 days ago
logic. Semantics, symbolization, and techniques of natural deduction in sentential logic. Symbolization, natural deduction, and models in monadic predicate logic. Symbolization and natural deduction with
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to live a fulfilling life. Students will engage with scientific models of well-being, including computational neuroscience models, computational psychiatry, and the neuroscience of emotions. They will study
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understanding of business models and drivers of success in startups across several verticals Ability to analyze and systematically evaluate ventures Entrepreneurial and highly motivated with a strong interest in