Teaching Responsibility
LJMU Schools involved in Delivery:
LJMU Partner Taught
Learning Methods
Lecture
Workshop
Module Offerings
5510DAV-JAN-PAR
Aims
To understand different concepts of data warehousing and different methods of data mining.
Learning Outcomes
1.
Plan and draft data warehouse-systems
2.
Apply different methods in data mining
3.
Use data analyses to enforce and support decision making in business
Module Content
Outline Syllabus:1. Data Warehousing
Fundamentals
Architectures and Phases
Data Models
Concepts and Set-Ups
2. Data Mining
Aims and Main Principles
Preparing Data
Methods of Analysis
Diagnosis
Additional Information:Data warehouses and their architecture are fundamental for managing data. Students will learn about the influence of data warehouses on issues and projects in data mining. Different concepts and set-ups will be studied and evaluated based on application. Students will also learn how to effectively prepare and analyse data to support decision making processes in business. Formal lectures will be supported by student group works which will be supervised by lecturers. Small group work projects will be carried out and presented for assessment.