Linear and multiple regression, analysis of residuals, transformations, variable and model selection including stepwise regression, and analysis of covariance. The course will stress the use of computer packages to solve real-world problems.
4
UnitsOptional
Grading1, 2
PasstimeNone
Level LimitLetters and science
College4 HW's with 1.5 weeks to finish each, 3 online quizzes bi-weekly. Lectures were so confusing but necessary to succeed so attend all. Midterm and final both took questions from the practice exam and had 50% R output interpretation 30% Derivation/Proof 20% MC/TF and extra credit. Attend sections right before the exam, TA's went over helpful topics.
She is the worst professor I've had at UCSB. She promised a practice final, told us never mind, and then released it after student complaints WITHOUT solutions 1.5 days before a final worth 40% of our grade. She said we would have an extra credit assignment to increase our grade by 5% but then randomly made it 2% until we complained again...
Organized lectures and excellent explanations in class and during office hours. Attending the office hours of professor and tutor is really helpful for homework and quizzes.
Flip-flopped on whether there'd be a practice exam up until the day before the final. We were promised all quarter a 5% extra credit bonus for our final grade, which was then changed to 2% after our final had already passed. Quizzes/homework were pretty easy, but then the final had a class average of 55% and over three-fourths of the class failed.
Overall the lectures are decently clear to follow and definitely make a difference in understanding the material so I wouldn't skip them, but they don't align very well with homework and quizzes, and all understanding of proofs is meant to come from these lectures as well. Attend section and work with the labs as they were the biggest hw help
Like other reviews have noted, the class is disorganized and the professor is difficult to contact. TAs aren't provided course materials, so they won't be much help in exam preparations. Lectures are theoretical, and there's a gap between what is gone over in class and what's tested on quizzes. Beware that there are proofs/derivations on the final.