This course will define the notion of Business Intelligence and its components. It will change the way students think about data and its role in business. The goal of the course is to examine how data mining technologies can be used to improve decision-making. The topics will be covered include, Introduction to data mining and data mining process (identify business problem, build mining database, prepare data for modelling, build and evaluate model); Predictive Modelling; Descriptive/ Unsupervised Data Mining; Data Mining for business applications; Data mining and electronic commerce, Data warehousing: concepts and techniques; Data Warehouse Architecture; Data Warehousing to improve decision-making in business. Mini Project.
Intended learning outcomes
Knowledge &understand
Teaching student the basic concepts of data mining
Teaching student how to use data mining techniques
The student be able to know the principles of data mining quality and ways to improve it.
Provide student logical thinking methods to solve data mining problem.
mental skills
Improve the ability to understand data mining and its role in business
To recognize different functions for data mining.
Improve the ability of thinking, criticism and comparison.
The student acquires new information and skills to mine complex data
Practical & professional skills
Student acquires the ability to complete data mining projects.
Student acquires scientific research skills and the use of Internet networks in performing various tasks.
To train the student on teamwork, develop the ability for comparison and employ it in creating, designing and producing various data mining activities.
Acquires student the ability to use various techniques and tools and employ them for data mining.
General and transferable skills
Acquires student effective oral and written communication skills.
The student should develop his hobbies and skills related to data mining.
Acquires student the skill of creating scientific reports capable of describing problems and give solutions.
The student acquires data mining skills by using different techniques.
Teaching and learning methods
Lectures
Problem-based learning (discussions)
Mini-projects
Methods of assessments
Midterm exam = 20
discussions = 15
Mini-projects (presentation and writing report) = 15