RMIT University Vietnam
Ho Chi Minh City, Vietnam
Area of Study
Taught In English
Students should have successfully completed the course Business Statistics 1 (ECON1030 or equivalent code)
Host University Units12
Recommended U.S. Semester Credits3
Recommended U.S. Quarter Units4.5
Hours & Credits
This course introduces students to the statistical and econometric methods used to conduct empirical analysis in Economics, Finance and Accounting. After revising some of the key concepts from Basic Statistics 1, you will learn about basic estimation and forecasting procedures and how you can apply these methods in the Windows based EViews econometric package. This course is designed to provide you with the basic quantitative techniques needed to undertake your major projects. The key topics will be illustrated with examples from business disciplines such as Accounting, Economics and Marketing.
Objectives/Learning Outcomes/Capability Development
On successful completion of this course you will be able to:
- Critically analyse and synthesise data to formulate effective economic and business decisions.
- Effectively communicate business data and concepts to professionals and non-professionals in diverse business contexts.
- Apply technical and analytical knowledge to provide specialist advice to people from business disciplines in diverse business contexts.
- Apply reasoned judgments to solve a variety of statistical and econometric problems in business disciplines such as Accounting, Economics, Finance and Marketing, with reference to ethical, regulatory and global perspectives.
- Use the feedback given on your performance to identify action strategies that required for improvement.
Overview of Learning Activities
To achieve the objectives listed, this course requires students to participate in various learning activities. These activities include, but are not limited to, the following:
- students should attend lectures
- students should actively attend and participate in workshops
- students should not rely simply on class notes, but should prepare their own set of notes. These “own notes” should include materials from class notes, relevant textbooks, journal articles, and other readings that are relevant to the course.
- students should actively learn to use Excel and EViews to estimate models and perform diagnostic testing.
Overview of Learning Resources
Various learning resources are available online through myRMIT/Blackboard. In addition to topic notes; assessment details and a study schedule you may also be provided with links to relevant online information; readings; audio and video clips and communication tools to facilitate collaboration with your peers and to share information.
Resources are also available online through RMIT Library databases and other facilities. If you require assistance with the RMIT library facilities contact the Business Liaison Librarian for your school. Contact details for Business Liaison Librarians are located online on the RMIT Library website.
Additional resources and/or sources to assist your learning will be identified by your course coordinator will be made available to you as required during the teaching period.
Overview of Assessment
The assessment tasks, their weighting and the course learning outcomes to which they are aligned are as follows:
Assessment Task 1: 50%
Linked CLOs: 1, 2, 3, 4, 5
Final Examination: 50%
Linked CLOs: 1, 3, 4
Feedback will be provided throughout the semester in class and/or in online forums through individual and group feedback on practical exercises and by individual consultation.