6 econ courses - here's my brutally honest review 2026
ECON 311 - Microeconomics (Professor Bernedo) - B
Flipped classroom format. You NEED to do the prepared attendance before class or she literally won't grade it if you're absent. The material is honestly pretty easy, sometimes felt dumbed down, but pay attention to those pre-recorded videos because the exams pull straight from them. All MCQs, balanced difficulty, some AI-generated questions.
You'll do a PA worksheet before class and another worksheet in class. 3 midterms per module. The textbook is completely useless - just focus on her lectures. Prof has limited availability outside class so don't expect much hand-holding. I missed my A by a small margin solely because I did not do my Prepared attendances. She also quizzes often so you should be prepped for it.
Pro tip: SIT IN THE FRONT.
ECON 312 - Macroeconomics (Professor Pollio) - A
FUCK ALL THE BAD REVIEWS - THIS WAS THE MOST WORTH IT CLASS I'VE EVER TAKEN.
Yeah, it initially feels like you've gotten yourself into deep shit. Professor Pollio can go fast and models like Solow and Romer have so many letters and symbols it's overwhelming at first. But here's the thing: if you READ BEFORE CLASS (cannot stress this enough), it all makes sense. Having basic 311 knowledge like the Production Function helps.
Professor Pollio actually wants you to understand the material and is super helpful in office hours and TA sessions. You'll warm up to the models and everything clicks.
Grading: 2 exams (35% each) and about 8 problem sets (30%). You will have to put your mind to it, but it's so worth it.
Again: SIT IN THE FRONT and GO TO OFFICE HOURS.
ECON 320 - Quantitative Methods of Management (Professor Dasgupta) - A
Just take it.
Professor Dasgupta explains everything really well. Initial exams are easy, group projects are medium-hard, but the final can be overbearing so prep well for that. It's all linear programming, non-linear programming, and game theory.
Get comfortable with Excel and PLEASE FAMILIARIZE YOURSELF WITH SOLVER before class - it'll give you a huge edge. If you're even halfway decent at linear algebra, you'll be a pro in this class.
ECON 421 - Econometrics (Professor Firsin) - B
Most fuck-all class I've done.
Professor Firsin goes at his own pace and his lecture style is pretty monotonous - didn't resonate with me at all. He's super qualified and willing to answer questions, but you have to extract the knowledge out of him. This course requires SIGNIFICANT outside work. I used Claude/AI extensively to get through it. FAMILIARIZE YOURSELF WITH STATA HELPS A LOT NOTHING TOO ADVANCED JUST THE BASIC FUNCTIONS LIKE MAKING A LOG FILE AND SETTING UP the Current Directory (CD) up also helps. YOU WILL BE OKAY.
TA SESSIONS HELP A LOT. Seriously, go to them.
BRUSH UP YOUR STAT 351 before taking this.
I did learn stuff, but it was a grind.
ECON 301 - Accounting Intermediate (Professor Davenport) - A
Easy A, but don't expect to learn much. All the work is DSM, projects, and CPA stuff. Classes were fun because the prof is fun, but my actual accounting knowledge improved maybe 20% at best. However, I got really comfortable with actual excel work and It helped me push my creative limits on my own. I would say it's great for excel and she talks about the industry and what is the job market like. I can't say I have not learned, that would be a lie. I will say I have learned what I hadn't expected and not learned what I went in to learn.
Plus side: Professor Davenport talks about internships a lot, which is actually really helpful for career planning.
Tax Accounting (Professor Medicus) - Dropped
Class was so easy of an A I dropped it.
PS: I did take all in one sem, and this post is from the pov of an average student I dont really have a high GPA everything is decent. The reason I write this is solely because all this is very doable. I did work medium-hard this sem.