Codetown ::: a software developer's community
We are having an Android App Development class at Valencia starting in August (East campus). It is COP 2660, and has a pre-requisite of COP2800 Java Programming, or permission of instructor. There are some seats left, so I thought I would put it up here for the community - albeit a very quiet community :)
If you are interested in iOS programming, we are also having one of those on West campus with a few seats left. You need to ahve any OO programming language to get into that one.
Let me know if you have any questions about these.
Cheers,
Colin Archibald
Tags:
Hello Colin: Thanks for the putting this up. Do you have a link to the course or will you provide the name of the course and area it is under on the VCC site.
Well, here's what I have:
COP 2660 Android App Development
CRN 17453
Thursday Nights 7:00-9:45PM East Campus (one meeting per week)
Aug 30 - Dec 13, 2012
Here is the catalog course description:
Hands-on application development for Android devices. Android apps will be written in Java, and execute in an emulator. Topics include the application architecture, user interface, data persistence, graphics, multimedia, and location-based services. Advanced apps will communicate with device sensors including the accelerometer, microphone and camera. The business of app development is explored, including distributing and marketing in the Android Market. Owning an Android device is not required.
Did you guys do anything on NDK? Any chance of sharing your course material I would be interested in reading it.
BTW it is awesome that they are doing this a Valencia!
Colin Archibald said:
Well, here's what I have:
COP 2660 Android App Development
CRN 17453
Thursday Nights 7:00-9:45PM East Campus (one meeting per week)
Aug 30 - Dec 13, 2012
Here is the catalog course description:
Hands-on application development for Android devices. Android apps will be written in Java, and execute in an emulator. Topics include the application architecture, user interface, data persistence, graphics, multimedia, and location-based services. Advanced apps will communicate with device sensors including the accelerometer, microphone and camera. The business of app development is explored, including distributing and marketing in the Android Market. Owning an Android device is not required.
Codetown is a social network. It's got blogs, forums, groups, personal pages and more! You might think of Codetown as a funky camper van with lots of compartments for your stuff and a great multimedia system, too! Best of all, Codetown has room for all of your friends.
Created by Michael Levin Dec 18, 2008 at 6:56pm. Last updated by Michael Levin May 4, 2018.
Check out the Codetown Jobs group.

Kyra Mozley discusses the evolution of autonomous vehicle perception, moving beyond expensive manual labeling to an embedding-first architecture. She explains how to leverage foundation models like CLIP and SAM for auto-labeling, RAG-inspired search, and few-shot adapters. This talk provides engineering leaders a blueprint for building modular, scalable vision systems that thrive on edge cases.
By Kyra Mozley
In this series, we examine what happens after the proof of concept and how AI becomes part of the software delivery pipeline. As AI transitions from proof of concept to production, teams are discovering that the challenge extends beyond model performance to include architecture, process, and accountability. This transition is redefining what constitutes good software engineering.
By Arthur Casals
To prevent agents from obeying malicious instructions hidden in external data, all text entering an agent's context must be treated as untrusted, says Niv Rabin, principal software architect at AI-security firm CyberArk. His team developed an approach based on instruction detection and history-aware validation to protect against both malicious input data and context-history poisoning.
By Sergio De Simone
Introducing Claude Cowork: Anthropic's groundbreaking AI agent revolutionizing file management on macOS. With advanced automation capabilities, it enhances document processing, organizes files, and executes multi-step workflows. Users must be cautious of backup needs due to recent issues. Explore its potential for efficient office solutions while ensuring data integrity.
By Andrew Hoblitzell
Meta has revealed how it scales its Privacy-Aware Infrastructure (PAI) to support generative AI development while enforcing privacy across complex data flows. Using large-scale lineage tracking, PrivacyLib instrumentation, and runtime policy controls, the system enables consistent privacy enforcement for AI workloads like Meta AI glasses without introducing manual bottlenecks.
By Leela Kumili
© 2026 Created by Michael Levin.
Powered by