MECH&AE 174
Probability and Its Applications to Risk, Reliability, and Quality Control
Description: Lecture, four hours; discussion, two hours; outside study, six hours. Requisite: Mathematics 33A. Introduction to probability theory; random variables, distributions, functions of random variables, models of failure of components, reliability, redundancy, complex systems, stress-strength models, fault tree analysis, statistical quality control by variables and by attributes, acceptance sampling. Letter grading.
Units: 4.0
Units: 4.0
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Most Helpful Review
Fall 2018 - MAE 174 taught by Mosleh is a very easy MAE TBR or elective class. It's a simple stats class and I found it intuitive and interesting even though I suck at stats. Just follow the recommended homework and review your notes and you should be fine. The class is completely podcasted through ZOOM and CCLE since it is cross listed with the masters online course of the same name. The grading is 50% midterm and 50% final, which is pretty daunting but the exams were nothing surprising. Do the suggested homework and pay attention to the videos and it will be a great class for you.
Fall 2018 - MAE 174 taught by Mosleh is a very easy MAE TBR or elective class. It's a simple stats class and I found it intuitive and interesting even though I suck at stats. Just follow the recommended homework and review your notes and you should be fine. The class is completely podcasted through ZOOM and CCLE since it is cross listed with the masters online course of the same name. The grading is 50% midterm and 50% final, which is pretty daunting but the exams were nothing surprising. Do the suggested homework and pay attention to the videos and it will be a great class for you.
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Most Helpful Review
Swider is a good communicator but a bad teacher. For a class that has homeworks and exams based entirely on solving math problems, he never does a single example in class. His lecture slides are highly convoluted with complex math that 1. he never explains and always skims over, 2. are so detailed in their derivations we dont even use them in the homeworks or exams. He provides a good high level background of reliability engineering and why it is important, but none of this knowledge is applied in the homework or exams you will do for the class. Basically, the lectures are entirely useless if you don't care about the field (which was the case for me, because I was a CS major). The class would be easy but because the professor never explained the problems, you are left to figure it out on your own and try to decipher his convoluted slides. We didn't have a TA until about two weeks into the class. He was helpful because he was able to help us with the homework problems, but half the time pretended to know the topics better than he actually did.
Swider is a good communicator but a bad teacher. For a class that has homeworks and exams based entirely on solving math problems, he never does a single example in class. His lecture slides are highly convoluted with complex math that 1. he never explains and always skims over, 2. are so detailed in their derivations we dont even use them in the homeworks or exams. He provides a good high level background of reliability engineering and why it is important, but none of this knowledge is applied in the homework or exams you will do for the class. Basically, the lectures are entirely useless if you don't care about the field (which was the case for me, because I was a CS major). The class would be easy but because the professor never explained the problems, you are left to figure it out on your own and try to decipher his convoluted slides. We didn't have a TA until about two weeks into the class. He was helpful because he was able to help us with the homework problems, but half the time pretended to know the topics better than he actually did.
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