The class was executed well, it was hard and had a lot of homework.

The content was good there was just a lot of it.

Worst class I have ever taken. They grade so harshly the chances of getting a low A in the class itself is slim. The TA especially grades like he's going to hit it big as a future author, always finding some sort of BS to give you a 3/4 on your essay, NO MATTER HOW MUCH OF THE REQUIREMENTS YOU REACH ON YOUR PAPER. I got docked off for having "too small text," for my presentation. Yeah, I guess it's small WHEN YOU'RE SITTING IN THE BACK OF THE ALDERSON CLASSROOM!!! The essays don't even have proper rubrics! In fact, THERE ISN'T A RUBRIC TO WORK OFF OF, JUST ON WHAT TO WRITE, AND THAT'S IT. Because of this, I got docked off for my ******* CITATION FORMATTING, WHICH THERE WASN'T EVEN A REQUIRED CITATION FORMAT SPECIFIED. AGAIN, it's like this TA genuinely just has a massive ego, and needs t...read more

This course was pretty fun. As a non art major, it was radically different compared to what I had taken before. When the syllabus described the class as "a venue for radical, fundamental development", it wasn't kidding. The class is 3 hours long and meets twice a week, so 6 hours in total.

To my knowledge, each section is different about when they do things, but they all go over the same few things like drawing initially, spheres & cubes in space, hallway drawing, drawing with charcoal [some may be doing this for the first time, like I did], group presentation on an artist, self portrait, surreal drawing, and a final that the professor decides on. Amazingly, there are no tests or exams, but do note that attendance is mandatory, and if you miss 8 or more classes, you will fail

Make sure that you get a bag that is capable of holding an 18 x 24 inch notebook. You'll need 2 of them for this course, and you'll need to transfer it between inside class & outside of class quite frequently.

This is an overall good course, and Andrew Finley makes it easy & great to understand how to do statistics with R

This course is the second part in a 2 part series. While in FOR 128, the first part, you learned how to use variables & data frames, as well as do joins, make graphs, and use the Tidyverse to solve problems. In this one, you focus more on statistics, with the concepts of mean, standard deviation, standard error, variance, and confidence intervals being central to understand. You'll also be understanding methods commonly used in Forestry like plot sampling, point sampling, random sampling, systematic sampling, stratified sampling, etc. There's a lab every week where you put what you learned from the lecture into motion

Andrew Finley is the GOAT

This class has lecture tickets. The way that lecture tickets work is that you do the reading outside of class, & then on an index card, you write down the answers to the questions that Andy asks of you every week for the readings.