SE 498

Fall 2017 All Classes

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Credit: 1 TO 4 hours.

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

1 to 4 undergraduate hours. 1 to 4 graduate hours.

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SE 498 class schedule data for fall 2017
	CRN	Type	Section	Time	Day	Location	Instructor	Section Details
	69717	Lecture	YL1	8:00AM -9:20AM	TR	106B3 Engineering Hall	Li, Y	Part of Term: 1 Date Range: 08/28/17-12/13/17 Credit: 4 hours Section Title: Numerical Methods in Engr Section Info: Prerequisite: MATH 241. In this course, students will learn important numerical analysis concepts and methods to solve complex engineering problems. MATLAB will be used as the software tool for the course. The topics under consideration in this course include: Introduction to numerical methods and the error analysis; Numerical methods for solving linear/nonlinear equations; Numerical methods for differentiation/integration; Numerical methods for solving ordinary differential equations; Numerical methods for solving constraint optimizations; Numerical methods for uncertainty analysis; Numerical methods for modeling of expensive black-box functions. Selective engineering applications of numerical methods in computational materials, computational fluid dynamics, control systems, reliability analysis, and engineering design optimization. Restriction(s): Restricted to Graduate - Urbana-Champaign.
	69720	Lecture	YL2	8:00AM -9:20AM	TR	Location Pending	Li, Y	Part of Term: 1 Date Range: 08/28/17-12/13/17 Credit: 3 hours Section Title: Numerical Methods in Engr Section Info: Prerequisite: MATH 241. In this course, students will learn important numerical analysis concepts and methods to solve complex engineering problems. MATLAB will be used as the software tool for the course. The topics under consideration in this course include: Introduction to numerical methods and the error analysis; Numerical methods for solving linear/nonlinear equations; Numerical methods for differentiation/integration; Numerical methods for solving ordinary differential equations; Numerical methods for solving constraint optimizations; Numerical methods for uncertainty analysis; Numerical methods for modeling of expensive black-box functions. Selective engineering applications of numerical methods in computational materials, computational fluid dynamics, control systems, reliability analysis, and engineering design optimization. Restriction(s): Restricted to students with Senior class standing. Restricted to Undergrad - Urbana-Champaign.