Data Warehousing/Mining Comp 150DW Course Overview - PowerPoint PPT Presentation

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Data Warehousing/Mining Comp 150DW Course Overview

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... 6:50 - 9:50 PM. Instructor - Mr. Dan Hebert. email - dhebert_at_mitre.org ... 'Hands-on' problems that involve building data warehouses and performing data mining ... – PowerPoint PPT presentation

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Title: Data Warehousing/Mining Comp 150DW Course Overview


1
Data Warehousing/MiningComp 150DWCourse
Overview
  • Instructor Dan Hebert

2
Comp 150
  • Thursday 650 - 950 PM
  • Instructor - Mr. Dan Hebert
  • email - dhebert_at_mitre.org
  • Location - Halligan Hall, rm. 108

3
Course Description
  • Fundamental concepts and techniques of data
    warehousing and data mining
  • concepts, principles, architecture, design,
    implementation, and application of data
    warehousing and data mining
  • Topics Data warehousing and OLAP technology for
    data mining, data preprocessing, data mining
    primitives, languages and systems, descriptive
    data mining, both characterization and
    comparison, association analysis, classification
    and prediction, cluster analysis, mining complex
    types of data, and applications and trends in
    data mining

4
Course Prerequisite
  • Comp 115 Introduction to RDBMS
  • Familiarity with programming with C/C is
    assumed
  • Students should be comfortable with
  • relational model basics
  • relational algebra
  • SQL
  • Views
  • Security
  • conceptual database design and ER models
  • schema refinement and normal forms
  • physical database design and tuning

5
Required Textbook
  • Data Mining Concepts and Techniques
  • Jiawei Han Micheline Kamber
  • Morgan Kaufmann Publishers ISBN 1-55860-489-8

6
Reading Schedule
7
Reading Schedule (continued)
8
Grading
  • Homework 30
  • Project 10
  • Midterm 25
  • Final 35

9
Homework
  • Assigned weekly (each Wednesday)
  • Due at the start of lecture the following
    Wednesday
  • Late policy
  • Homework turned in up to one week after the due
    date - 20 penalty.
  • Homework turned in anytime later - 100 penalty
  • Typical homework assignment
  • Exercises from the text
  • Hands-on problems that involve building data
    warehouses and performing data mining
  • Working with PostgresQL

10
Project
  • Develop a data warehouse and perform data mining
    on it using Postgres as the underlying datastore
  • Additional details provided as the course
    progresses

11
Midterm Final
  • Open book, open notes
  • Opportunity during class for review of material
    covered prior to midterm and final

12
Computing Environment
  • All students will have a computer account on
    psql.cs.tufts.edu
  • Account will work on all workstations in the SUN
    lab
  • Commercial RDBMS utilized will be PostgreSQL
  • For information - http//www.postgresql.org/index.
    html

13
Course Homepage
  • Course web page will be available
  • Lectures/homework assignments will also be posted
    in my account
  • dhebert/comp150dw
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