Engineering Science Thesis University Of Toronto

Engineering Science Thesis University Of Toronto-67
Four (4) other electives from the list of Bioengineering designated courses or departmental thesis and design courses subject to the following constraints: a.Of the 6 (half year) bioengineering courses required, one (half year) course can also be a core course in a student’s Program, if applicable.b.

Four (4) other electives from the list of Bioengineering designated courses or departmental thesis and design courses subject to the following constraints: a.Of the 6 (half year) bioengineering courses required, one (half year) course can also be a core course in a student’s Program, if applicable.b.

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The requirements for the Minor in Artificial Intelligence Engineering in the Faculty of Applied Science and Engineering are the successful completion of the following courses: 1.Robotics Major students in Engineering Science will only be able to access the Minor with the permission of the Cross-Disciplinary Programs Office.The permission will be based on the selection of a suitable set of alternative courses. ROB313H1 and ROB501H1 may be only used towards the Minor by Engineering Science students. Either a thesis or design course may count for up to two electives IF the thesis or design course is strongly related to artificial intelligence.Petitions for meritorious substitutions in the fourth year of a student's program will be considered within the general constraints imposed by the current timetable, by course prerequisites, by the minimum of approximately 2.5 weight units per term, and by the concepts of academic validity, provided that the engineering science and engineering design content is not reduced.All students enrolled within this Program are eligible to apply for admission into the Skoll Program. Students accepted into the Skoll Program are required to consult with their Undergraduate Student Counsellor on the composition of the 4F courses that will be required.Completion of an Engineering Minor is subject to the following constraints: Manufacturing is the most intensive research and development economic sector in Canada, accounting for 75 per cent of all private sector research expenditures.The courses in this minor draw on an array of engineering skills, leadership and multi-disciplinary knowledge, all of which can be leveraged in a wide range of sectors, including biomedical, automotive, aviation, aerospace, energy and others.While the topics may appear primarily to reside in the disciplines of computer engineering and computer science, the topics of AI and ML now apply to all disciplines of engineering, such as projection of future road-traffic patterns, applications in industrial automation and robotic control, or the use of AI/ML drug discovery, to name just a few examples.All U of T Engineering undergraduates (except students in the Engineering Science Machine Learning Major) are eligible to participate in this minor.Please contact your Departmental Advisor for details.Artificial intelligence (AI) and Machine learning (ML) have exploded in importance in recent years and garnered attention in a wide variety of application areas, including computer vision (e.g., image recognition), game playing (e.g., Alpha Go), autonomous driving, speech recognition, customer preference elicitation, bioinformatics (e.g., gene analysis) and others.

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