The techniques of data science used to produce predictive and adaptive decision support techniques with particular emphasis on prediction, optimisation and search methods.
All businesses make decisions based on an understanding of their historical, current and predicted environments. Adaptive Business Intelligence introduces methods for supporting robust decision making in a business context, leading to graduates with the confidence to visualise, understand and predict relevant aspects of a business process. Given the future of improving business processes is to understand what has happened and what will happen, INFO 324 delivers some fundamental skills that all business graduates need.
|Paper title||Adaptive Business Intelligence|
|Teaching period||First Semester|
|Domestic Tuition Fees (NZD)||$1,018.05|
|International Tuition Fees (NZD)||$4,320.00|
- BSNS 106 and 18 200-level INFO points and 18 further 200-level points
- Recommended Preparation
- BSNS 102 or one STAT paper
- Schedule C
- Arts and Music, Commerce, Science
- Teaching staff
- Convenor and Lecturer: Associate Professor Peter Whigham
- Paper Structure
- The paper covers three main themes:
- Visualisation of data
- Model building for prediction and analyses
- Business applications
- All text books are available online via Blackboard. A number of text books are offered. The student is directed to particular chapters as required.
- Course outline
- View the course outline for INFO 324
- Graduate Attributes Emphasised
- Interdisciplinary perspective, Scholarship, Communication, Critical thinking, Information
View more information about Otago's graduate attributes.
- Learning Outcomes
- Ability to identify the activities of prediction, optimisation and adaption that exist within a decision-making context
- Be confident in applying methods to understand and critically assess these activities