The following are brief descriptions of the ISS SE , KE & EBAC core course and electives. For further information on the Software Engineering courses contact Mr. Howard Russon; for information on the Knowledge engineering courses contact Mr. Charles Pang; for information on the Enterprise Business Analytics courses contact Dr. Carol Hargreaves.

KE4102 Intelligent Systems and Techniques for Business Analytics
The aim of this first core course is to provide a foundation for the KE degree. The focus of the degree is on educating the developers of intelligent systems to be used for Business Analytics. So the objectives of this foundation course are to:

1. Introduce the basic concepts and major techniques of Business Analytics.
2. Provide an overview of knowledge-based systems and an introduction to statistical and machine learning, with Business Analytics as the target application area.

This module is compulsory for all KE students.

KE5106 Data Warehousing for Business Analytics
The aim of this second core course is to present Data Warehousing as an important preparatory process in the development of intelligent systems for Business Analytics. The objectives of the course are to:

1. Present the fundamental principles and practices of Data Warehousing.
2. Present the Data Warehousing process through the discussion of data modelling, dimension design, domain knowledge acquisition, understanding and modelling customer requirements, identifying data sources, data extraction, cleansing and transformation, data loading onto the analytical engine, and data preparation and exploration.

This module is compulsory for all KE students.

KE5107 Data Mining Methodology and Methods
The aim of this third core course is to present Data Mining as an important knowledge discovery process in the development of intelligent systems for Business Analytics. The objectives of the course are to:

1. Provide in-depth coverage the methodology and methods of Data Mining.
2. Present Data Mining as the fundamental technique for Knowledge Discovery through the discussion of representative machine learning schemes and algorithms, typical tasks in mining relationships, classification and clustering.

This module is compulsory for all KE students.

KE5108 Developing Intelligent Systems for Performing Business Analytics
The aim of this fourth core course is to discuss the system engineering (ie: modelling and development) of intelligent systems for Business Analytics. The objectives of the course are to:

1. Present the major stages of development cycle, including problem understanding, problem modelling, system architecture and design, algorithm/technique selection and system development and fine-tuning.
2. Introduce some of the typical hybrid architectures of intelligent system for problem solving in the Business Analytics context.
3. Discuss some advanced techniques and algorithms and their role in Business Analytics.

This module is compulsory for all KE students.