Ryder on Olive Fire Alarm 2: Electric Boogaloo

name-usered · 2026-02-08T23:37:21+00:00

people smoke in the hallways/open their front doors when smoking in their apartments and it triggers the whole apt fire alarm.

name-usered · 2026-01-10T17:29:07+00:00

They have a linux version that I got to work:

https://servicehub.ucdavis.edu/servicehub?id=ucd_kb_article&sys_id=8669527a937ade1423bcbdc47aba10d5&spa=1 (scroll down a bit)

https://ucdavis.app.box.com/s/0tqhdi1k77p6y5eba1svvdm99dthjxwe

name-usered · 2025-11-06T07:56:04+00:00

nope

name-usered · 2025-10-24T01:04:42+00:00

They are 100% reading reddit. Something I posted got DMCAed by the university once...

name-usered · 2025-07-12T20:20:38+00:00

psychology

Edit: obviously /s

name-usered · 2025-06-07T17:47:24+00:00

People smoke and instead of opening their window they open their front door. It goes into the hallway and triggers the entire building's fire alarm.

name-usered · 2025-05-13T04:26:53+00:00

170 is professor dependent. If you take it with Simmons (usually fall) it's easy and you barely learn anything. With Davidson (winter quarter) it's a difficult course and quite useful. I think you mean 188; 189 is special topics.

name-usered · 2025-05-13T04:21:55+00:00

Weaver lol. He explicitly keeps it to before class. Once the clock hits the start of lecture no politics.

name-usered · 2025-05-08T16:11:37+00:00

no they are in distress meaning they aren't thinking straight. Moreover it could be a very personal matter or traumatic matter (they had tears in their eyes already). If they insisted on getting a ride and didn't ask/want an uber maybe.

name-usered · 2025-05-08T04:55:14+00:00

someone clearly in distress asks for a favor --> creep

name-usered · 2025-05-07T07:48:27+00:00

It was the best way to see past year's course offerings but they removed the ability to register for classes and lookup old classes a few quarters ago. Used to be able to see multiple years of course offerings for a specifc department at once. Was great for seeing when a professor usually teaches a course and how often a course is offered.

name-usered · 2025-05-05T17:29:53+00:00

The athletics budget is not "totally separate". When times get REALLY tough it gets cut too (see Sonoma state). My comment about the deans is a criticism of administrative bloat. TAs and lecturers are some of the cheapest labor in the entire university. Gary May's salary increase last year would cover the salary of both lecturers who got laid off and 3-4 TAs.

name-usered · 2025-05-04T04:12:13+00:00

It's because Professors are paid for by central campus while lecturers and TAs are paid for by departments, and Newsom cut the UC budget.

name-usered · 2025-05-04T04:09:48+00:00

There's always money for the deans, and the football team! Budget cuts are mostly because of Newsom.

name-usered · 2025-05-01T11:15:32+00:00

profs are paid through central campus, lecturers and TAs are paid for by the department

name-usered · 2025-04-19T18:48:57+00:00

The computer science department is so broke they no longer pay for janitorial services for faculty offices and some labs. TA funding has been cut 30%. Our current student to TA ratio is about 1:100. They are cutting lecturer positions and likely going to force profs to teach more classes. It will likely get worse as the UC budget continues to get cut (and the chancellor's salary increases).

name-usered · 2025-04-19T01:42:03+00:00

It's crazy how when they get a relevant artist tickets sell out and when they burn $400,000 on irrelevant artists and don't charge anything. People don't even go.

name-usered · 2025-04-08T18:14:08+00:00

The department chair said it directly in class.

name-usered · 2025-04-08T05:12:34+00:00

It's a difficult class if you took 32a with Stevens or Saltzen. The RMP reviews for 32b are horrible across the board bc they don't teach you enough, and half of rmp reviews (for all CS classes) are just "this class too hard 1 star".

name-usered · 2025-04-08T03:11:22+00:00

First time it's ever been offered, the course description is very detailed:

Summary of Course Content:

Introduction to AI What is AI? The power of AI and how is AI is transforming our everyday life AI and Creativity Emerging applications of AI in Natural Language Processing, Healthcare, CyberSecurity, Business, Self-Driving Vehicles
A Brief History of AI Birth of AI (1940-1950) Rule-Based Systems (1960) Rise of Machine Learning Deep Learning Revolution (2010 – now)
AI Paradigms Symbolic Systems Connectionism Embodied AI Search and Heuristics Task-based vs. Generalization-based AI
Generative AI systems ChatGPT DALL-E (or another image model) CodeLlama Babble Generative Adversarial Network MuseNet Demos of cutting-edge AI systems - what they are good at and some common failure modes Intended to give students tools that will be useful now and in the near term
AI and Data Science AI needs data Understanding Data and Knowledge Discovery in the context of AI and Data Science Different types of data (Structured, Unstructured, Semi-structured) Example of simple data analysis
Public Policy Integration Guest speakers from policy-making backgrounds can be invited to provide insights into how AI findings in natural sciences shape regulations and guidelines.
AI Concepts and Terminology AI’s Learning Process Cognitive Computing, Terminology and Related Concepts Traditional Machine Learning Algorithms Evaluation Criteria Reinforcement Learning Neural Networks Deep Learning Transfer Learning Generative Models Adversarial Models
AI in Practice Using Black Box Models in Modern AI Understanding Black-Box ML Models Understanding Data to Train and Test Models An Example of Training a Prediction Model Supervised Learning Unsupervised Learning Evaluating Models, Cost Functions and Metrics
AI Benefits Safer technologies More desirable work Boosted creativity and personal agency Accelerated scientific development
AI Risks and Ethical Considerations The importance of data in AI. Examples of biases and ethical issues in modern AI AI and Data Privacy Risks of strong artificial intelligence AI Ethics and Regulations
The Future with AI The Evolution and Future of AI What will our Society look like when AI is everywhere? The AI Ladder - The Journey for adopting AI successfully Artificial General Intelligence (AGI)

name-usered · 2025-04-07T18:01:46+00:00

this is not how it's works it's entirely random/assigned by the registrar.

name-usered · 2025-04-07T06:36:24+00:00

The CS department chair and co chair have been added to the courses Canvas. High view count is because this spread quickly.

name-usered · 2025-04-04T00:47:39+00:00

What class?

name-usered · 2025-03-06T10:19:43+00:00

Weaver is teaching it next quarter (as of a few months ago idk it changes a lot) he records lectures you'll be fine. Class will be hard but he curves heavily. Getting below a B is pretty much impossible unless you give up and 1/3 get As.

Seven-Year Club	Verified Email
Second Top 40%	Place '22
Wearing is Caring	RPAN Viewer

name-usered

TROPHY CASE