George's "Expectations vs. Reality" Reflection Essay

My classes were mostly as I expected. It took me a couple weeks to get used to the concept of Lecture vs. Discussion classes, but taken as components, neither of them were new to me. I imagined "Lectures" to be these massive gatherings where hundreds upon hundreds of students cram into a hall, something similar to the auditorium in Iribe; while partly true, there weren't that many people, and lecture hall designs vary. Discussions are similar to a high-school class experience; that’s where worksheets and quizzes are done. I’m not sure if entry-level courses were designed this way specifically to accommodate freshmen (freshpeople?) but I interpret them as checks to make sure we are properly keeping up, and I appreciate it.

Assignments vary by class; some do quizzes + worksheets/labs + projects, some just do quizzes, one does a couple projects and the rest is mostly participation, and – although it doesn’t count as a “class”, per se – Orchestra’s “show up and pay attention”. For my CS and Math courses, anything "small" -- like worksheets and quizzes -- are done in class, so most of the actual take-home (or take-dorm?) work are projects. It seems that we are more trusted to manage time; more on this later. It's not much work, if one knows what they are doing. Difficulty-wise, I guess at most the difficulty of an AP, which checks out.

CPSG100 ran a bit differently from my others. The program is called "Science and Global Change", and as I expected, this course does indeed talk about "Science" and "Global Change". I will say that I didn’t expect to see HTML; it seemed like an arbitrary Computer Science thing stuffed into an otherwise environmental-science course. This is one of my classes – the other being Ethics of AI – that lumps lecture and discussion into one class. In both classes, I notice teachers like to involve students a lot more; over in Scholars, we have the in-class questions, while over in Ethics we often have “turn around and discuss with the person next to you”.

Heading into college, I had no expectations for what life here would look like. I don’t have any siblings older than me, and everyone else I knew who did go, I didn’t talk to much. One thing that stuck out to me was the sheer amount of time on our hands; I have been trained decently well to keep track of time on assignments and do things as quickly as possible, and the courses that do give HW aren’t hard or tedious in a way that would force me to spend time on them.But as a result, I’m left with a lot of time between classes, and at night. (I sleep pretty late, though I guess that’s a natural consequence of having more free will.) I scarcely know when my friends meet up, so I’ve just been filling this time by picking up hobbies. As of time of writing, I have joined one club, though I don’t go to it often.

Finally, a few things for me to tell future students:

  • This is somewhat cliche, but get things done quickly. With an earlier start comes more time to work, more opportunities to ask questions, and a bigger buffer if something goes wrong.
  • In college, you have a lot more time than you may think; you'd only have maybe 5 or 6 classes, and at least from my experience so far, they don't actually give much work. What you do with the rest of that time is up to you.
  • Don’t fall behind! I’ve never skipped class, but from what I’ve observed, at least in Computer Science and Math courses, lecturers will assume you are comfortable with content from all previous classes, and they will build on top of it. Not everyone posts lecture notes, and even if they do, it’s easier to learn in class than to read what is written afterwards. (I guess this can be contended; my high-school chemistry teacher talks about how she didn’t listen in class, but would read textbooks studiously and keep up that way. I feel like this is a dangerous thing to do in college – some lecturers will say things in class that are not in the slides – but I have no personal experience.)
  • Intuition is a great tool. If you understand something well enough that you can reconstruct it from reasoning, it’ll help you generalize, and you don’t have to worry as much about rote memorization. I find it takes a lot of pressure off of quizzes and exams for this reason as well.
  • This’ll be controversial, but I’d say use AI to help you learn. I’ve learned that Dr. Holtz and Dr. Merck don’t particularly like AI, and I grant that treating fancy autocorrect as if it was truly “intelligent” (at least in the way we use the term) raises some questions. But from what I’ve seen, it’s good at explaining things in an understandable way. Going back to some of my previous points, it has helped me build intuition in unfamiliar areas, and if you are falling behind in understanding, taking a bit of time to talk to an LLM is a good way to catch up. (To be clear: Don’t use it to actually do any of your assignments, unless your instructor explicitly says that they permit it.)
  • That’s all I have for now. If I think of anything else, I’ll update this.

    Last modified: 9 December 2025