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Scientific Data Analysis

(Year: 3 Period: 2 Category: Elective )


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Node Description:
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Course Objectives:
  • 1. (understand)Student can distinguish the predominant types of data in science
  • 2. (understand)Student can explain the difference between computational model-based and data-only analysis
  • 3. (understand)Student can distinguish whether problems can be implemented using data-only or computational model-based analysis
  • 4. (understand)Student can calculate basic correlations from data and understands some of the pitfalls
  • 5. (understand)Student can analyze time-series data (stationarity, co-integration, correlation) and understands some of the pitfalls
  • 6. (understand)Student can apply basic methods to make predictions based on data
  • 7. (understand)Student can apply basic methods to repair missing data
  • 8. (understand)Student can apply and evaluate basic methods to fit a model to the data and understands some of the pitfalls
  • 9. (understand)Student can analyze real data and decide on the proper steps to answer a research question

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