Hey everyone. I’m a Computer Science major who feels very behind. I don’t have any substantial projects to put on my resume. I look at basic open source stuff and can’t understand it.

I’m currently attending WGU online, but also work full time so I don’t have a ton of free time to learn or work on side projects.

Anyone have advice for a guy in my scenario? I ended up dropping out of college a couple times during COVID and now I’m just trying to get back on the right path.

The language I know best is Java, but I’ve been trying to learn C++ and web development as well. Applied for internships but no luck so far, I think I need to make some better projects.

I’m attending college this fall and moving cross country for this move. I wanted to ask everyone who’s currently in college or graduated not too long ago on whether if it’s worth it to stay on-campus in the dorms.

I heard you get assigned a roommate and some dorms, depending on which one you get, can have 1-3 additional roommates.

I’ve always had my own room and the closest thing I’ve had to a roommate was my little sister…but she had her own room as well.

I know staying on campus it’s easier to get to class and I get to live the traditional college experience. I don’t mind having a roommate but I heard if you have a shitty one, it’s not gonna be fun.

The perks of having your own apartment you get the ability of having your own space and doing whatever you want with no dorm monitors right? Only downside is paying rent?

If you have any insight or experience to share I'd love to hear them! 🙏

This might be a weird framing but it's been bugging me for a few days. Many fields have a concept of classical training -- this is most common in music but applies in the humanities and many other areas. For example I do a lot of CAD work for my job, but I received what I would consider a "classical education" in design...I learned to draft by hand and physically model before I was ever allowed to work digitally. I got a lot of value out of this approach and it still informs the way I work today.

A lot of people view computers and technology as modern and almost anti-classical, but as the tech industry matures and the internet moves from something shiny and new to something foundational to our society, what will the new classicism look like?

Thanks for reading my question.

What was your experience like? What do you remember? Any favourite moments, least favourite, most memorable?

Note: School is different in every country! Please respect the international audience: if you talk about a type of school or year, include the age range. Eg “Sophomore (age 15-16)”.

I would like to find a good Statistics course to do for myself, and also to recommend to others, down the road ... one that specifically focuses on risk, and the discrepancy between actual statistical probability vs humans' intuitive sense of risk.

I recall a quote, which The Interwebs informs me right now, came from Albert A. Bartlett ... "The Greatest Shortcoming of the Human Race Is Man’s Inability To Understand the Exponential Function".

Alternately, Mark Twain popularized (but did not originate) the saying "There are lies, damned lies, and statistics".

That's the kind of course I'm looking for, that focuses on questions like how much should we actually worry about supervolcanoes, asteroid strikes, Covid 2.0, WWIII, Trump getting re-elected, etc.

There are two parts to this. One, people often (naturally, human nature, how our brains are wired to handle Risk) obsess about a short list of risks in life that are overblown, or appear to be more of a concern than they actually are.

The other part is, some things have a very small risk of actually happening, but when considered in conjunction with the potential consequences (asteroid strikes, WWIII, global pandemic), are still worthy of aggressive efforts to prevent ... and people often focus on the first element (statistically unlikely) and dismiss or overlook the second piece (devastating consequences).

Anyway, stuff like that ... ideally an actual, hands-on MOOC-type Statistics course, but even a good youtube video or blog article would suffice.

As usual, thanks in advance.