Code Camp Presentation Downloads

adnanmasood@gmail.com (Adnan Masood) — Thu, 03 Jul 2008 08:15:25 GMT

Following are the links to my talks from the SoCal Rock and Roll Code Camp in UCSD Extension Campus, San Diego.

Using ASP.NET MVC to build a blogging engine in 60 minutes or less.

MVC is a framework methodology that divides an application's implementation into three component roles: models, views, and controllers. ASP.NET now has built-in support for MVC style development and this session is an introduction to using this technique for building a sample application, a blogging engine. This session will elaborate on differences between traditional ASP.NET post-back style development versus the routes and REST architecture based thinking around MVC.

ASPECT.NET – Aspect Oriented Programming in .NET, an Introduction

Aspect Oriented Programming (AOP) deals with factorization in code i.e. separation of common concerns, specifically cross-cutting concerns, as an advance in modularization. AOSD has been a popular trend in development for quite some time in other programming environments and IDE’s however it’s scope and exposure is limited among .NET developers.

This session is focused on getting developers a deeper understanding of what AOP is all about and how to use it in their everyday development. Aspect.NET is a language-agnostic visual environment for developing aspect-oriented applications for Microsoft.NET that was implemented as an add-in to Microsoft Visual Studio.NET 2005. Using Aspect.NET, the user can define and weave aspects and assess the results of the weaving in his or her projects.
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Collaborative Filtering 101 – An Introduction with SQL Server 2008 BI

Collaborative Filtering (CF) is defined as profiling or classification of information based on specific entity relationships i.e. making automatic predictions (filtering) about the interests of a user by collecting likelihood information from many users (collaborating). The underlying assumption of CF approach is that those who agreed in the past tend to agree again in the future. For example, a collaborative filtering or recommendation system for music tastes could make predictions about which music a user should like given a partial list of that user's tastes (likes or dislikes).

In this session, we will discuss collaborative filtering algorithms and applications in the current e-commerce systems. A wide array of topics such as market basket analysis, association trees, singular value decomposition (SVD), naïve Bayesian classification will be briefly discussed along with the implementation of these algorithms in sites like Netflix, Amazon and digg / (google pagerank). In the second half of the talk, attendees will get to see the step by step implementation of a small scale recommender system using SQL Server 2008 business intelligence studio and C#.

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ASP.NET MVC and Dependency Injections - Links

Code Camp Presentation Downloads