Average Rating
Course Difficulty
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Medium 100%
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Background Knowledge Expected
Group Projects
Requires Presentations
Not too easy. Not too difficult.
Course Overview:
If a student is thinking about a life in engineering or STEM science; statistics will be highly valuable to interpreting your results- industry or academia
Course highlights:
Regression analysis, predictive intervals, and confidence intervals.
Hours per week:
6-8 hours
Advice for students:
Study 8 hours a week every week to be successful in understanding the class. The first half of the class will be the difficult part.
Not too easy. Not too difficult.
Course Overview:
It is a truly practical course find out how students canconnect their theoritical knowledge in Statistics with real practices. This is because the Professor has lots of experiences in working outside the University
Course highlights:
Linear Regression, multi-linear Regression, Point Estimation, Exponential Distribution, Uniform Distribution, Queuing Theory, Triangular Probability Distribution, Normal Distribution, Pert Method, Log Normal, Binomial Distribution,Poisson Distribution, Interval Distribution, Test of hypothesis,...
Hours per week:
3-5 hours
Advice for students:
Just Participate in class and do the Homeworks at due dates. Follow the instructor constantly because if you miss something , as there are lots of details and Formula, also because of some similarities between mentioned methods, students are going to be confused if they do not follow the class continuously