Time Series And Forecasting

QTM3615 Time Series and Forecasting
4 Advanced Liberal Arts Credits
This course is about the analysis of time series data in the context of various real-life forecasting situations pertaining to business and non-business areas, such as sales, banking, healthcare, sports, and global warming. The objectives of the course are: to provide practical experience with time series data to predict future outcomes; to provide a framework for comparing alternative models in terms of predictive accuracy; to cultivate an appreciation of various types of times series modeling approaches; to provide advanced exposure and experience in programming to build, test, and apply time series models; and to develop skills at communicating results effectively. The software used throughout the course will be Excel and R/RStudio. Effective teamwork and professional presentation of analyses and recommendations will be required during this course.

Prerequisites: AQM2000 or QTM2000 or permission from instructor

  • Program: Undergraduate
  • Division: Mathematics, Analytics, Science and Technology
  • Level: Advanced Elective (UGrad),Advanced Liberal Arts (UGrad)
  • Course Number: QTM3615
  • Number of Credits: 4