Probability and Statistical Methods for Mechanical and Environmental Engineering
MAE 108 (Sections A00), Spring 2014
This course covers topics in Probability theory (conditional
probability, Bayes theorem, random variables, densities, expected
values, characteristic functions, central limit theorem); Egineering
reliability (elements of estimation, random sampling, sampling
distributions, hypothesis testing, confidence intervals); and Curve fitting and data analysis.
Instructor:
- Prof. Daniel M. Tartakovsky, Office: Room 577 EBU II, E-mail: dmt@ucsd.edu
Teaching Assistants:
- Viktoria Gisladottir, E-mail: vgislad@ucsd.edu
- Kimoon Um, E-mail: kium@ucsd.edu
- Evan Gravelle, E-mail: evangravelle@gmail.com
Lectures:
- 8:00-9:20am, Tuesdays and Thursdays, PCYNH 106
Problem solving sessions:
- 9:00-9:50am, Fridays, SOLIS 107
Office Hours:
- 10:00-11:20am, Tuesdays; Room 577, EBU II (Daniel Tartakovsky)
- 9:00-10:20am, Wednesdays; Room 105, EBU II (Viktoria Gisladottir)
- 9:30-10:50am, Thursdays; Room 105, EBU II (Kimoon Um)
- 12:00-1:20pm, Fridays; Room 105, EBU II (Evan Gravelle)
Academic prerequisites:
- Grade C- or better in Math 20F
Textbook:
- A. H-S. Ang and W. H. Tang, Probability Concepts in Engineering, 2nd Edition
Course grade:
Homework assignments:
- Homework and exams must be written clearly and neatly. No late
homework will be accepted. The lowest score will be dropped
(HW1) due date: April 10, Thursday (Solutions)
(HW2) due date: April 17, Thursday (Solutions)
(HW3) due date: May 1, Thursday (Solutions)
(HW4) due date: May 8, Thursday (Solutions)
(HW5) due date: May 15, Thursday (Solutions)
(HW6) due date: June 5, Thursday (Solutions)