CE2407A
Engineering Uncertainty Analysis
Workload: 4MC
[Taken from NUSMOD]
Many engineering problems involve natural processes and phenomena that are inherently random. Engineers have to evaluate the risk-benefits trade-offs, in order to make decisions in design and planning under conditions of uncertainties. This module covers the fundamental principles and tools of probability and statistics, and how engineers can employ these tools to evaluate problems involving uncertainty. Topics include: basic probability concepts, random variables and functions thereof, probability distributions, statistical inference, hypothesis testing, and regression analysis. Students will also be taught how to use computational tools such as Matlab to perform Monte Carlo simulations, to solve engineering problems involving uncertainty.
Many engineering problems involve natural processes and phenomena that are inherently random. Engineers have to evaluate the risk-benefits trade-offs, in order to make decisions in design and planning under conditions of uncertainties. This module covers the fundamental principles and tools of probability and statistics, and how engineers can employ these tools to evaluate problems involving uncertainty. Topics include: basic probability concepts, random variables and functions thereof, probability distributions, statistical inference, hypothesis testing, and regression analysis. Students will also be taught how to use computational tools such as Matlab to perform Monte Carlo simulations, to solve engineering problems involving uncertainty.
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Taken in: Semester 1, AY21/22
Professors: Associate Professor Low Ying Min, Dr. Ku Taeso
Difficulty: Low
Workload: Low
Final Exam – 60%
MATLAB Project – 20%
Quiz – 20%
This module delves into probability, normal, lognormal, exponential and other distributions, hypothesis testing and correlation statistics. Although the module is taught by Civil Engineering, and the tutorial questions prepared are in the context of engineering, all assessments are based on real-life scenarios outside of engineering to ensure a common playing field.
Concepts covered should be relatively manageable to grasp, at least relative to MA1513. The lecturer does a decent job at covering the necessary material, while keeping the module interesting with supplementary information for a more complete picture of the subject.
With a basic understanding, the online quiz should be a walk in the park. Since there are three questions worth 50 marks each, you simply have to score 100 marks to attain full credit for the quiz.
The individual MATLAB project, on the other hand, is a whole new kettle of fish. I would urge you to attend the lecture prior to the launch of the MATLAB project to ensure you have a better understanding of operating MATLAB commands and syntax in the context of statistics. Pace yourself in the completion of the project though; it is best to start early to prevent yourself from being washed out nearing the end of the semester.
There aren’t many practice questions available for this module, but a robust understanding of the concepts covered would surely help. Attempt the past-year papers available (check CE2407, not CE2407A!), and you should be good to go for the final examination. Personally, this year’s paper was rather doable.
Expected Grade: A
Final Grade: A+
Professors: Associate Professor Low Ying Min, Dr. Ku Taeso
Difficulty: Low
Workload: Low
Final Exam – 60%
MATLAB Project – 20%
Quiz – 20%
This module delves into probability, normal, lognormal, exponential and other distributions, hypothesis testing and correlation statistics. Although the module is taught by Civil Engineering, and the tutorial questions prepared are in the context of engineering, all assessments are based on real-life scenarios outside of engineering to ensure a common playing field.
Concepts covered should be relatively manageable to grasp, at least relative to MA1513. The lecturer does a decent job at covering the necessary material, while keeping the module interesting with supplementary information for a more complete picture of the subject.
With a basic understanding, the online quiz should be a walk in the park. Since there are three questions worth 50 marks each, you simply have to score 100 marks to attain full credit for the quiz.
The individual MATLAB project, on the other hand, is a whole new kettle of fish. I would urge you to attend the lecture prior to the launch of the MATLAB project to ensure you have a better understanding of operating MATLAB commands and syntax in the context of statistics. Pace yourself in the completion of the project though; it is best to start early to prevent yourself from being washed out nearing the end of the semester.
There aren’t many practice questions available for this module, but a robust understanding of the concepts covered would surely help. Attempt the past-year papers available (check CE2407, not CE2407A!), and you should be good to go for the final examination. Personally, this year’s paper was rather doable.
Expected Grade: A
Final Grade: A+