Adaptive Business Intelligence
University of Otago
Dunedin, New Zealand
Area of Study
Taught In English
BSNS 106 and 18 200-level INFO points and 18 further 200-level points
Course Level Recommendations
ISA offers course level recommendations in an effort to facilitate the determination of course levels by credential evaluators.We advice each institution to have their own credentials evaluator make the final decision regrading course levels.
Recommended U.S. Semester Credits3 - 4
Recommended U.S. Quarter Units4 - 6
Hours & Credits
OverviewExplores the techniques used to produce predictive and adaptive decision support techniques in businesses. Particular emphasis is placed on prediction, optimisation and search methods and data scale/sampling issues.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 424 delivers some fundamental skills that all business graduates need.
The course covers three main themes:
-Visualisation of data
-Model building for prediction and analyses
-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
All text books are available online via Blackboard. A number of text books are offered. The student is directed to particular chapters as required.
Courses and course hours of instruction are subject to change.
Eligibility for courses may be subject to a placement exam and/or pre-requisites.
Some courses may require additional fees.
Credits earned vary according to the policies of the students' home institutions. According to ISA policy and possible visa requirements, students must maintain full-time enrollment status, as determined by their home institutions, for the duration of the program.
Please reference fall and spring course lists as not all courses are taught during both semesters.
Availability of courses is based on enrollment numbers. All students should seek pre-approval for alternate courses in the event of last minute class cancellations
Please note that some courses with locals have recommended prerequisite courses. It is the student's responsibility to consult any recommended prerequisites prior to enrolling in their course.