This course contributes to the development of the following learning goals and objectives of the School’s Bachelor of Accountancy program: Learning Goal 1 (Accounting Competencies):
LO1.1: Our students can recognize, develop, measure, record, validate and communicate financial and other related information.
LO1.2: Our students can analyse, synthesise and evaluate financial and other related information for decision making in a management context. Students are expected to demonstrate the following technical competencies upon successful completion of this course:
- Understand the role of data analytics in solving accounting and business problems, such as revenue prediction, bankruptcy prediction, and fraud detection.
- Demonstrate familiarity with statistical programming in the contexts of forecasting and forensics.
- Transform financial and nonfinancial data into useful insights for business.
- Communicate inferences from analysis through writing, speaking, and visuals.
- Develop an ability to independently learn and explore new methods in analytics in this everchanging field.
Class activities are designed to further develop students’ analytical, communication, and active learning skills, as well as students’ professional ethics. Students must be prepared to go beyond lecture materials and prescribed reading.
By the end of the course, students should be able to:
• Express thoughts and ideas on diversity coherently and respectfully
• Evaluate theories that seek to explain equity and diversity
• Identify rhetoric, as well as dominant and normative discourses on diversity issues
• Analyse and evaluate the policies that relate to the managing of differences
• Understand the sociocultural nuances of diversity management in Japan
