Ingmar Nyman

The pacing of the class is quite slow, and he definitely isn’t the most engaging lecturer, but he’s easily one of the nicest professors at Columbia. He takes his time to ask for questions and patiently answers every one of them to make sure we understand it all. He’s also pretty great with emails, answering questions people have about the exams until the very last minute. The class isn’t too hard, and the exams take up most of the grade. The exams are basically completely based on lecture material, and remembering every detail is important. The issue with his tests is that although they’re not hard, they can be tricky if you’re not thorough/careful (he doesn’t really give too much partial credit). Being careless or forgetting a detail from class can easily cost you a letter grade since there are very few questions. And it appears that he does curve down if necessary.

I took Ingmar's class, the first semester he taught at Columbia- Spring 2018. I would highly recommend taking his class. Ingmar is one of the best teachers I have ever had. He is nice, approachable and most importantly a great lecturer. His classes were always interesting as he knows how to explain economic concepts extremely well. Moreover, he asks a lot of questions during the lecture to make class interactive. I would especially encourage you to take his class if you are not very good at math since he is more of a theoretical economist. Calc III was in no way needed although it is a prerequisite, and I did not solve a single integral during the entire course. I never went to his office hours but heard from friends that he was always happy to talk about whatever. I found that the downside of his course was that his exams were too easy and since they were curved in accordance with the economics department requirements, a small mistake may have cost you a letter grade. I don't remember the cutoff of the grades exactly, but in the second midterm, 15 out of 80 students scored a 100/100. In order to get an A you had to score above a 96, and people who scored around 80 got a C. Problem sets were a bit harder than the exams but still not terrible. Took me between 4-5 hours to solve. Probably the easiest Micro class you can take in CU.

Economic Uncertainty encompasses topics such as revelation principles, game theory, signaling, and screening.

As mentioned above, professor Gulati is a fantastic professor. If you were lucky enough to have him as your professor for Principles, you will be afforded a similar experience of deep economic understanding related to the real world, but in an intimate seminar setting. It has been an amazing experience and I would recommend everyone take professor Gulati's sports economics class if you are able to! 1 Columbia University: Arts & Sciences Fall 2021 Course: ECONGU4911_001_2021_3-MICROECONOMICSSEMINAR : ECONGU4911_001_2021_3 - MICROECONOMICS SEMINAR Instructor: Sunil Gulati

Super kind professor who's willing to go out of the way to help students! I had a last minute grading question during exam week that I honestly should have resolved earlier in the semester, but Ingmar was still willing to meet and I felt encouraged and comfortable reaching out to him on any issue. In general he is really responsive to class requests about deadlines, extra office hours, review sessions etc. The grading system is also relatively forgiving. The are 3 exams in total, and your lowest exam score is dropped. The level of difficulty of the Final is the same as midterms, which is nice.

many principles; portfolio; game theory; asymmatric information

Consumer preferences, indifference curves, production technologies etc

I learned about different models for studying uncertainty and their relationship to the financial sector. I deepened my understanding of information asymmetries and the way in which they can influence pre and post-contractual relationships. I also improved my ability to solve problems using calculus.

How to think about uncertainty, how to think about risk, what kind of models do ppl use to model uncertainty

I learned about mathematical concepts modeling microeconomics decisions.