Not too easy. Not too difficult.
Course Overview:
This is a good course to learn the basics of econometrics. It will look hard but trust me its very easy when you study for it very well and look for the things you don't understand in class in YouTube or other sources.
Course highlights:
It starts with basic probabilities then you will learn linear regression (univariate and multiple), hypothesis testing and it will conclude with time series analysis (AR models, MA and Arima).
Hours per week:
3-5 hours
Advice for students:
Study basic probabilities and expectation and basic statistics (mean, variance, covariance, standard error, hypothesis testing ...) in advance and read the relevant chapters in the book before each class.
This class was tough.
Course Overview:
It is very interesting course. you are expected to be very good in statistics to pass this course with good grade. You will use R programing to finish the assignments which count for have of the course credit!
Course highlights:
introduction to statistics, regression, timeseries analysis [autoregression (AR and MA), vector autoregression, structural vector autoregression].
Hours per week:
12+ hours
Advice for students:
Don't leave things to the exam week, solve the homeworks and understand them because the exams will be similar.