ME 598

Fall 2018 All Classes

All Classes

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Credit: 0 TO 4 hours.

Subject offerings of new and developing areas of knowledge in mechanical engineering intended to augment the existing curriculum. See Class Schedule or departmental course information for topics and prerequisites.

May be repeated in the same or separate terms if topics vary.

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ME 598 class schedule data for fall 2018
CRN	Type	Section	Time	Day	Location	Instructor	Section Details
68952	Lecture	DFS	ARRANGED	n.a.	Location Pending	Socie, D	Part of Term: 1 Date Range: 08/27/18-12/12/18 Credit: 2 hours Section Title: Fun with Mechanics Section Info: This course is being offered to give graduate students an opportunity to participate in a creative design project course that is of a competitive nature. In the first semester ( 2 credit hours ) small student teams of 3 - 5 persons will design a device to meet the specified technical requirements of the competition and provide an engineering analysis that shows that their design is likely to be successful. The device will be fabricated in the second semester ( 2 credit hours). The Fall 2017 project will be to build a walking machine that is powered by a cordless drill that carries a human rider. A competition consisting of racing around the Engineering Quad will be held at the end of the second semester in the spring of 2018. This course has no lectures or exams, grades are based solely on the project. Restriction(s): Restricted to students in the Mechanical Sci & Engineering department. Restricted to Graduate - Urbana-Champaign.
45639	Discussion/ Recitation	JB	3:00PM -4:50PM	TR	106B1 Engineering Hall	Bentsman, J Chen, Z	Part of Term: 1 Date Range: 08/27/18-12/12/18 Credit: 4 hours Section Title: Advanced Computer Control Section Info: This course provides foundation for modern computer control through progression from basic discrete time control theory to the more advanced control algorithms, enhanced by the elements of machine learning, which have been highly successful in applications. Exposure to the implementation of these algorithms on modern computing platforms will also be provided. The topics will include: state space and input-output models of discrete time systems; current computer control thinking and platforms; system-theoretic properties of discrete time systems; discrete time control fundamentals: pole placement design, observer design, output feedback, disturbance rejection, servo design; linear discrete time optimal control; robust discrete time (H∞) control for linear and nonlinear systems; discrete time polynomial design; discrete-time nonlinear filtering and control; model-predictive control with constraints; discrete time robust adaptive control (L1 and others); enhancement of discrete time controllers with computationally intensive elements of machine learning/artificial intelligence; introduction to field-programmable gate arrays (FPGAs) and graphical processing units (GPUs) for solving computationally intensive control problems through individual projects. Prerequisite: ME360 or equivalent is required. ME460 or ECE 486 is desirable.
66713	Lecture-Discussion	KCS	10:00AM -11:50AM	TR	1020 Lincoln Hall	Smith, K	Part of Term: 1 Date Range: 08/27/18-12/12/18 Credit: 4 hours Section Title: Physicochemical Hydrodynamics Section Info: This course introduces basic concepts of molecular diffusion in liquids with interactions due to stationary or flowing fluid. Uncharged and charged solutions/dispersions/suspensions of molecules, macromolecules, and particles are considered in enclosed and porous-media flows. Particular emphasis is placed on analysis using the equations that govern concentration, velocity, and electric-potential fields, flux/flow driving forces and their constitutive relations, and transport properties/parameters. Applications are discussed in energy, environmental, chemical, and biological systems. Prerequisites: Courses in heat/mass transfer and fluid mechanics.
70404	Lecture-Discussion	MEK	11:00AM -12:20PM	TR	105 Talbot Laboratory	Kersh, M	Part of Term: 1 Date Range: 08/27/18-12/12/18 Credit: 4 hours Section Title: Orthopedic Biomechanics Section Info: Principles of musculoskeletal joint biomechanical function and modeling; design rationale and manufacturing of orthopedic implants; computational modeling of bone and orthopedic tissue adaptation; experimental and computational methods used to obtain physiological boundary conditions. Preprequisites: ME 481 and ME 170 (or equivalent). Solid mechanics and Matlab proficiency is recommended
70405	Lecture	MW	10:00AM -11:50AM	TR	1022 Lincoln Hall	Bretl, T West, M	Part of Term: 1 Date Range: 08/27/18-12/12/18 Credit: 4 hours Section Title: Reinforcement Learning Section Info: Theory and practice of reinforcement learning as a tool for machine learning and artificial intelligence, applied to control, dynamics, and robotics, with a particular emphasis on computation. Topics will include reinforcement learning algorithms (temporal difference, Q-learning, policy gradient, actor-critic), function approximation and the use of deep neural networks, and efficient implementation on parallel architectures. Restrictions and prerequisites: CS 446 or equivalent; experience with TensorFlow, PyTorch, or equivalent.