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Research School of Management · ANU College of Business and Economics
This course builds on the material introduced in introductory Business Information Systems courses by covering how business analytics and business intelligence can be used for improved business decision-making. Contemporary forms of analytics such as visual, text, sentiment, web, and social are covered in the course, as well as established technologies like decision support, knowledge management, collaborative and expert systems.
Typical assessments may include, but are not restricted to: in-class exercises, written and oral assignments, quizzes, examinations, group project tasks, oral presentations, and other assessments deemed appropriate to show the attainment of the learning outcomes set for the course. Further details will be made available via the Class Summary.
Learning outcomes 1, 2, 3, 4, 5, 6, 7
Students taking this course are expected to commit 130 hours to completing the work. For semester length offerings this will typically include 3 hours per week in class and at least 7 hours a week on average (excluding non-teaching weeks) on course reading, research, writing and assignment work. Other Information Students with an active Education Access Plan (EAP) are encouraged to discuss support with the Course Convenor (if necessary).
Information about the prescribed textbook (if any) will be made available via the Class Summary. Preliminary Reading Information about indicative readings (if any) will be made available via the Class Summary.