|
|
|
|
|
| Business Intelligence |
|
||
|
|
GeM 8310 Business Intelligence |
||||
| Students in
this course develop the ability to design technology-enabled processes for
decision-making and knowledge management in e-business environments.
Complementary advances in e-business models, information technology, and
analytical methods are redefining decision-making strategies,
problem-solving approaches, and processes of knowledge creation and sharing.
The course examines alternative decision making and knowledge management models and their alignment with business processes and individual needs. |
It
covers applications of advanced data modeling, data warehouses,
multi-dimensional databases, online analytical processing (OLAP), data
mining, data visualization, collaboration technologies and intelligent
agents.
The course also investigates how decision making pitfalls, such as biases, can be avoided or reduced in individual and group decision-making processes. |
||||
| Topics Include | |||||
| Decision theory and analysis Data warehousing Data mining Decision support systems Expert systems and rule induction |
Data visualization Intelligent agents Multi-dimensional databases Neural networks Collecting and analyzing data via the Web |
||||
 |
 |
Based upon current information; subject to change | |||
    |
|||||
