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Earlier quoted context omitted.
So others can also see the thought they put into the program, here's the actual curriculum: https://www.cs.cmu.edu/bs-in-artificial-intelligence/curricu...
Thanks. I was wondering about that. Do you know, by chance, what books or notes they might use?
I love the ethics requirements. My current uni doesn't have this and I'm so glad I took it at the college I attended as an underclassmen. The different ethical theories apply so well to a lot of work being done in computer science.
This feels like a more useful CS degree, IMO. I don't do anything like machine learning, but for both scaling backend services and building day-to-day business logic, I've gotten a ton of value out of knowing stats, logistics, and a certain amount of pattern recognition (ah, how terms go in and out of fashion). Take this stuff instead of the other sorts of electives I was picking from - UML Modeling, for instance - a…
Mostly, I like the focus on breaking down the problem domain in a logical way, so you can decide on which approach to take. The problem with the other courses I took (Machine Learning, Statistics, Computer Algorithms) is that they are so focused on solving specific problems that they often didn't adequately define the problem domain. I'd really recommend both Norvig's books to anyone interested in AI (in the broad sense).
This feels like a more useful CS degree, IMO. I don't do anything like machine learning, but for both scaling backend services and building day-to-day business logic, I've gotten a ton of value out of knowing stats, logistics, and a certain amount of pattern recognition (ah, how terms go in and out of fashion). Take this stuff instead of the other sorts of electives I was picking from - UML Modeling, for instance - a…
You had a whole class dedicated to UML Modeling? That makes me laugh, I know it gets very complicated in high level java applications, but man that feels like a waste of time.
In practice we learned nothing particularly useful what to take into account when deciding where to draw boundaries, and just focused on what was easy to represent in UML.
My undergraduate degree (from The University of Edinburgh) is Artificial Intelligence. I remember when I was visiting different universities in the UK back in 2000, Edinburgh was the only one I saw which offered AI as a "real" degree. Everywhere else it was a specialization which was tacked on in the final year of a computer science degree. That seemed really odd to me then. Seems even odder now.
I'm curious to hear about your experience. In my mind, artificial intelligence can't be separated from computer science. In fact, I feel like you need a full Comp Sci degree before you can effectively apply your skills to real world AI challenges.
You can see the courses here - http://www.drps.ed.ac.uk/18-19/dpt/utaintl.htm
This feels like a more useful CS degree, IMO. I don't do anything like machine learning, but for both scaling backend services and building day-to-day business logic, I've gotten a ton of value out of knowing stats, logistics, and a certain amount of pattern recognition (ah, how terms go in and out of fashion). Take this stuff instead of the other sorts of electives I was picking from - UML Modeling, for instance - a…
You had a whole class dedicated to UML Modeling? That makes me laugh, I know it gets very complicated in high level java applications, but man that feels like a waste of time.
I still sometimes use UML sequence diagrams though.
My undergraduate degree (from The University of Edinburgh) is Artificial Intelligence. I remember when I was visiting different universities in the UK back in 2000, Edinburgh was the only one I saw which offered AI as a "real" degree. Everywhere else it was a specialization which was tacked on in the final year of a computer science degree. That seemed really odd to me then. Seems even odder now.
edit: slightly awkward phrasing in my original comment above. Amended: They were (and still are!) very forward thinking.
My undergraduate degree (from The University of Edinburgh) is Artificial Intelligence. I remember when I was visiting different universities in the UK back in 2000, Edinburgh was the only one I saw which offered AI as a "real" degree. Everywhere else it was a specialization which was tacked on in the final year of a computer science degree. That seemed really odd to me then. Seems even odder now.
I'm curious to hear about your experience. In my mind, artificial intelligence can't be separated from computer science. In fact, I feel like you need a full Comp Sci degree before you can effectively apply your skills to real world AI challenges.
That said: some of the AI students who didn't have to take any CS courses chose not to take the suggested ones... then had a really hard time in a few of the later courses. Computer Vision was brutal for them.
The situation is slightly different now. Edinburgh has a foundational "Informatics" (being the combination of CS, AI and Cognitive Science) curriculum. Students in those disciplines start with that, and then fully specialize in the later years of the course.
As a more or less completely unrelated side note: Sethu Vijayakumar, one of the judges for the last couple of seasons of Robot Wars UK, was my dissertation examiner.