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EC5211 - Forecasting

Credit points: 3
Year: 2012
Student Contribution Band: Band 3
Administered by: School of Business

Quantitative forecasting techniques which are useful in the business and commercial environment. The techniques will range from simple smoothing methods to statistical procedures. Strong emphasis will be given to applications of forecasting techniques. Real data sets from finance, tourism, marketing, management and economics will be used to meet the demands of students from a wide range of disciplines.Applications are conducted by using a windows based Excel Forecastx TM software which is reasonably easy to use.

Learning Outcomes

  • have a good knowledge of forecasting theory and techniques at the intermediate level.

Graduate Qualities

  • The ability to think critically, to analyse and evaluate claims, evidence and arguments;
  • The ability to adapt knowledge to new situations;
  • The ability to define and to solve problems in at least one discipline area;
  • The ability to communicate effectively with a range of audiences;
  • The ability to lead, manage and contribute effectively to teams;
  • The ability to speak and write logically, clearly and creatively;
  • The ability to calculate, produce, interpret and communicate numerical information;
  • The ability to select and use appropriate IT tools;
  • The ability to access and employ online technologies effectively;
  • The ability to use and interpret different media;
  • A coherent and disciplined body of skills, knowledge, values and professional ethics in at least one discipline area;
  • The ability to use a variety of media and methods to retrieve, analyse, evaluate, organise and present information;
  • The ability to reflect on and evaluate learning processes and products;
  • The ability to learn independently and in a self-directed manner;
  • A commitment to lifelong learning and intellectual development.
Assumed
Knowledge:
Introductory subjects in Economics and Statistics
Inadmissible
Subject
Combinations:
EC2100 and BX3025

Availabilities

Townsville, Study Period 1, Internal
Census Date 22-Mar-2012
Coord/Lect: Dr Rabiul Beg.
Workload expectations:
  • 26 hours lectures
  • 12 hours tutorials
  • 12 hours workshops/Seminars
Assessment: end of semester exam (50%); quizzes or tests (30%); assignments (20%).

Note: Minor variations might occur due to the continuous Subject quality improvement process, and in case of minor variation(s) in assessment details, the Subject Outline represents the latest official information.