AE 598

Fall 2015 Part of Term 1

Part of Term 1
Aug 24-Dec 9

Special Topics

SHOW FINAL EXAM SCHEDULE

Credit: 1 TO 4 hours.

Subject offerings of new and developing areas of knowledge in aerospace engineering intended to augment existing formal courses. Topics and prerequisites vary for each section. See Class Schedule or departmental course information for both.

May be repeated in the same or separate terms if topics vary to a maximum of 12 hours.

My Favorites

My Schedule

Section Status updates every 10 minutes.

AE 598 class schedule data for fall 2015
	CRN	Type	Section	Time	Day	Location	Instructor	Section Details
	65309	Lecture-Discussion	UQ	9:00AM -9:50AM	MWF	Mechanical Engineering Bldg	Freund, J	Part of Term: 1 Date Range: 08/24/15-12/09/15 Credit: 4 hours Section Title: Uncertainty Quantification Section Info: Title: Simulation prediction with quantified uncertainty Advances in computational techniques and resources have made predictive simulations an indispensable tool across engineering and science, with integration of continually more physical models into simulation tools to represent increasingly complex phenomena. This increases the challenge of both validating and quantifying the predictive uncertainty of such simulations. For true predictions there is no corresponding experimental data to check against, so quantification of predictive uncertainty increases their utility and can target pacing sources of uncertainty for reduction. This course will introduce technique for quantifying the uncertainty of simulation predictions. After the predictive science challenge is introduced and motivated with examples, we will: review basic statistical tools and distributions; discuss probability as measures of belief; examine the strengths, limitations, and design of experiments for calibration and validation; introduce quantitative model selection and hypothesis testing for the design and evaluation of physical models; and present methods to propagate known uncertainties through a predictive simulation to the quantity of interest. Inverse adjoint-based sensitivity methods will be discussed for use in validation and uncertainty quantification. Mechanics based examples will be used throughout for motivation. Prerequisites: experience in (1) numerical methods (minimally TAM470, AE370 or equivalent), (2) mathematics (TAM541/2 or equivalent), and (3) experience with fluid and/or solid mechanics.