ENGS 112

Fall 2003

Topic: Data and Process Mining

Syllabus1 Goals of course, general overview

2 Visual Studio .net and web services

XML, SOAP, WSDL, UDDI, etc

3 Data mining

applications

market basket analysis, doubleclick, churning

techniques

privacy issues

4 SQL and Databases

5 Semantic web concepts

RDF, DAML, Ontologies

6 Process descriptions/models

HMM's, Decision Trees, Petri nets

7 Autonomic Computing and other related technologies

8 Projects

9 Projects

10 Wrapup

What you will learn….

• Web services (.Net) framework

• Data mining basics

• SQL Database operation

• Visual Studio environment

• Advanced initiatives – autonomic computing

• Speaking/presentation skills

What you will do….

• Presentations – at least one report about a paper (10-15 mins)– final project report (1/2 hour)

• Projects– several homework type assignments– more ambitious, final project

• Reading about new technology

• Using new technology

First Assignment (due April 10)

• Install Visual Studio .Net on your machine

• Develop XML Schema or DTD for a domain

• Write a Visual Studio program to parse XML according to Schema/DTD

• Perform other computation on XML

Logistics

• 11 block

• X periods on Tuesdays

• My travel schedule - we will use X periods

• Laptops if needed can be obtained from Shay Cooper

• Visual Studio CD’s – Yijin will announce

• Web site for class will be developed soon

• Introductions