For the 2020-21 academic year, courses will be delivered through one of the following methods. The course instructor will provide specific expectations of the course. The possible course delivery methods are:
- Online, synchronous (SYNC): An online course with scheduled meeting times (posted in ACORN) when a student may be expected to participate in activities. Lectures classified as synchronous will be recorded for 2020 Fall Term for students who are not available at the scheduled time. The course may have optional in-person meetings.
- Online, asynchronous (ASYNC): A course delivered online that does not have scheduled meeting times in ACORN. Students are expected to keep up with course work throughout the term.
- In-person (INPER): A course that will be delivered in-person and has scheduled meeting times posted in ACORN. Students are expected to attend all meeting sections for in-person courses.
Please note: Synchronous online engineering lectures will be recorded. The recordings will available to students signed up in the synchronous lecture section that was recorded. Students will be able to review recorded lectures at a time that works best for them during the day.
- Most formal courses begin the week of January 11, 2021
MSE1031H S1 Forensic Engineering
Instructor: D.D. Perovic
Lectures, online (SYNC): Mondays (17:00 – 20:00)
Tutorial, online (SYNC): Wednesday (14:00 – 15:00)
The course provides participants with an understanding of scientific and engineering investigation methods and tools to assess potential sources, causes and solutions for prevention of failure due to natural accidents, fire, high and low speed impacts, design defects, improper selection of materials, manufacturing defects, improper service conditions, inadequate maintenance and human error. The fundamentals of accident reconstruction principles and procedures for origin and cause investigations are demonstrated through a wide range of real world case studies including: medical devices, sports equipment, electronic devices, vehicular collisions, structural collapse, corrosion failures, weld failures, fire investigations and patent infringements. Compliance with industry norms and standards, product liability, sources of liability, proving liability, defense against liability and other legal issues will be demonstrated with mock courtroom trial proceedings involving invited professionals to elucidate the role of an engineer as an expert witness in civil and criminal court proceedings.
Prerequisite: MSE101/APS104/MSE260/MSE160/APS110 or equivalent
MSE1035H S1 Optical and Photonic Materials
Instructor: N. P. Kherani
Lectures, online (SYNC): Wednesday (12:00-15:00)
Tutorials, online (SYNC): Tuesday (15:00 – 17:00)
Practicals/Labs, online (SYNC): Tuesday (13:00-15:00); occurs once every two weeks
Optical and photonic materials play a central role in a variety of application fields including telecommunications, metrology, manufacturing, medical surgery, computing, spectroscopy, holography, chemical synthesis, and robotics – to name a few. The properties of light and its interaction with matter lie at the heart of this ever-expanding list of applications. The syllabus comprises the nature of light, wave motion, lasers, interference, coherence, fibre optics, diffraction, polarized light, photonic crystals, metamaterials, plasmonic materials, and practical design applications.
Minimum Enrollment: 5
Exclusion: MSE435; MSE1039
Max Enrollment: 15
Prerequisite: Mathematics: Calculus, differential equations, matrix algebra, complex numbers; Physics: Introductory physics, materials science
- Introduction to Optics, F.L. Pedrotti, L.M. Pedrotti and L.S. Pedrotti, 3rd Edition, (Reissued by Cambridge University Press 2018, previously published by Pearson)
- Optical Properties of Solids, M. Fox, 2nd Edition, Oxford
- Optics, E. Hecht, 5th Edition, Pearson
- Optoelectronics & Photonics: Principles & Practices, S. O. Kasap, 2nd Edition, Pearson
MSE1043H S Composite Materials Engineering
Instructor: H. Naguib
Lectures, online (SYNC): Thursday (15:00 -18:00)
This course is designed to provide an integrated approach to composite materials engineering, and provide a strong foundation for further studies and research on these materials. Topics include: structure, processing, and properties of composite materials; design of fillers reinforcements and matrices reinforcements, reinforcement forms, manufacturing processes, testing and properties, mechanics and modeling of composite systems; nanocomposites systems, new applications of composites in various sectors.
Minimum enrollment: 5
Max enrollment: 30
Course Texts: Lecture notes
MSE1058H S Nanotechnology in Alternate Energy Systems
Instructor: S.J. Thorpe
Lectures, in person (if permitted), room MY350: Monday 11-12, Wed 11-12, Thursday 11-12
Tutorials, in person (if permitted), room MY370: Thursday 15-17
The unique surface properties and the ability to surface engineer nanocrystalline structures renders these materials to be ideal candidates for use in corrosion, catalysis and energy conversion devices. This course deals with the fabrication of materials suitable for use as protective coatings, and their specific exploitation in fields of hydrogen technologies (electrolysis, storage, and fuel cells) linked to renewables. These new devices are poised to have major impacts on power generation utilities, the automotive sector, and society at large. The differences in observed electrochemical behavior between amorphous, nanocrystalline and polycrystalline solid materials will be discussed in terms of their surface structure and surface chemistry. A major team design project along with demonstrative laboratory exercises constitutes a major portion of this course.
Prerequisite: Familiarity with nanomaterials and nanostructures is desirable.
Exclusion: MSE558; MSE458
- “Fuel Cell Fundamentals”, R. O’Hayre, S. Cha, W. Colella, and F. Prinz, John Wiley & Sons, NY, 2006 (recommended but not required)
- “Fuel Cell Systems Explained”, J. Larminie, A. Dicks, John Wiley & Sons, NY, 2003 (recommended but not required)
- “Alternate Energy Systems and Applications“, B.K. Hodge, John Wiley & Sons, NY, 2010 (recommended but not required
The combined enrolment of MSE458 and MSE1058 is capped at 20 students maximum.
Students will NOT be able to drop course after the first week due to the nature of the major design project in the course.
The unique team work required in the multidisciplinary nature of the design project of this course will necessitate its delivery in an in person mode only.
MSE1062H S1 Materials Physics
Instructor: Z.H. Lu
Lectures, online (SYNC): Friday (9:00 – 11:00)
Tutorials, online (SYNC): Friday (14:00 – 15:00)
Electron quantum wave theory of solid-state materials will be introduced. Quantum phenomena in various materials systems, in particular nano materials, will be discussed. Electronic properties of materials such as charge transport, dielectric properties, optical properties, magnetic properties, and thermal properties will be discussed using appropriate quantum theory. Materials systems to be studied may include metals, semiconductors, organics, polymers, and insulators.
Min enrollment: 5
Max enrollment: 10
Course Texts: Electronic Properties of Materials (Rolf E. Hummel) and Introductory Quantum Mechanics (R.L. Liboff)
MSE1067H S1 Materials Failure
Lectures, online (SYNC): Wednesday (15:00 – 17:00)
Practicals, online (SYNC): Friday (15:00 – 17:00)
Minimum Enrollment: 5
Maximum Enrollment: 25
JBM1050H S Biological & Bio-Inspired Materials
Lectures, online (SYNC): Wednesday (10:00 – 12:00)
Prerequisite: Students should have a physical sciences/engineering background and have some familiarity with basic concepts in biochemistry and cell biology
Maximum Enrollment: 20
- Enrolment will open on April 05, 2021
MSE1065H – Application of Artificial Intelligence in Materials Design
Instructor: C. V. Singh
Start date: May 5, 2021
End date: July 7, 2021
Lectures, online (SYNC): Wednesdays (5 -7 pm)
Practicals/Labs, online (SYNC): Wednesdays (7-8 pm)
In this course students will be exposed to the applications of machine learning for materials design, including physical metallurgy, catalysis and mechanics of materials. We will begin by conducting a review of statistical and numerical methods, and programming in R and Python. Then, the most important machine learning techniques of relevance to materials science will be described. This will include linear, nonlinear and logistic regression, decision trees, artificial neural networks, deep learning, supervised and unsupervised learning. Thereafter, the students will be provided hands-on experience on analyzing data and apply ML approaches through a set of case studies, pertaining to alloy design, additive manufacturing, and catalyst design. Finally, students will apply these skills through a term project on materials science problem of their interest.
This course has been selected for Data Analytics emphasis in FASE at the graduate level. Due to the broad nature of course topics, we encourage students from Chem Eng, MIE, Chemistry, and other departments.
Minimum Enrollment: 5
Maximum Enrollment: 30
Course Text: No course text
MSE1068H – Additive Manufacturing of Advanced Engineering Materials
Instructor: Yu Zou
Start date: August 23, 2021
End date: August 27, 2021
Lectures, online (SYNC): Monday-Friday (9:30 am – 1:00 pm)
Practicals/Labs, online (SYNC): Monday-Friday (2-6 pm)
The one-week intensive course includes additive manufacturing (AM) process fundamentals, material properties, design rules, qualification methods, cost and value analysis, and industrial and consumer applications of AM. Particular emphasis will be placed on AM technologies for metals and other advanced materials (ceramics and composites), and related design principles and part performance. The AM techniques introduced in this course include, but are not limited, to selective laser melting, direct metal deposition, wire arc deposition, cold spray, powder binder jetting, electroplating, fused deposition modeling (FDM) and stereolithography (SLA).
Lab activities (virtual / hands-on) involving both desktop and industrial-grade 3D printers for metals, ceramics and composites, addressing the full workflow from design to characterization. Several interactive case studies which deploy quantitative analysis tools discussed in lecture to solve a real or imagined market or business need. Virtual / in-person visits to local AM startups and an AM equipment provider/integrator. A multidisciplinary team of speakers including industry experts, and special guest speakers (some are U of T Alumni). This course provides students with a comprehensive understanding of AM technology, its applications, and its implications both now and in the future.
Minimum Enrollment: 5
Maximum Enrollment: 30
Course Text: Gibson, I., Rosen, D., Stucker, B., & Khorasani, M. (2014). Additive manufacturing technologies (Vol. 17, p. 195). New York: Springer.