Course Content -1. Syllabus -2. Lecture Notes -3. Homeworks -4. Quizzes -5. Project -6. Exams

1. Syllabus

Course Syllabus for ICS 426 for Term 072

• Syllabus

Catalog Course Description

Review of relational databases and Conjunctive queries, Data Warehousing Concepts and OLAP, Data Warehouse Design and Development, Information and data Integration, OLAP Technology for Data Mining. Data Mining: Primitive, Languages and Application Developments.

 

Course Contents

Introduction

Data Preprocessing

Descriptive Data Summarization

Data Cleaning

Data Integration and Transformation

Data Reduction

Data Discretization & Concept Hierarchy

Data Warehouse: An Introduction

A Multidimensional Data Model

Data Warehouse Architecture

Data Warehouse Implementation

Efficient Methods for Data Cube Computation

Multiway

BUC

Precomputing Shell Fragments

Further Development of Data Cube and OLAP

Attribute-oriented Induction

Basic Concepts and Road Map

Frequent Itemset Mining

Mining Various Kinds of Association Rules

From Association Mining to Correlation Analysis

What is Classification and Prediction

Decision Trees

Bayesian Analysis

KNN

Prediction: Regression

Evaluating the Accuracy of Classifier or Predictor

Ensemble Methods

Cluster Analysis

Types of Data in Cluster Analysis

Partitioning Methods

Hierarchical Methods

Outlier Analysis
 

Grading Policy

 Attendance and Participation                          2 %

 Quizzes                                                          12 %

Homeworks                                                    6 %

Project                                                            12 %

Major Exam 1                                                18 %

Major Exam 2                                                20 %

Final Exam                                                     30 %

Instructor

Dr. Salahadin Mohammed Adam (Office: (22) 102, phone: x1721). E-mail: adam@kfupm.edu.sa
Office hours: SMW: 11:00 – 11:50 AM & U  02:00 - 02:50 PM & T 10:00 - 10:50 AM

Textbooks