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Business Division Faculty LibGuide

Provides links to Western Library resources available for the Business Division

What is the Difference Between OER and ZTC?

"OER" and "ZTC" are often used interchangeably but they are not necessarily the same thing. Here's how they're different.

 OER - Open Educational Resources 

Open Educational Resources (OER) carry an open license. -- Creative Commons - CC which grants permission to access OER materials for free along with the permission to modify the work in the following ways:

  • OER Permissions - The 5 Rs
    1. Reuse the material in any context you'd like
    2. Remix the material from multiple resources and combine them to create a new resources
    3. Revise the materials by copying the original text and revising or changing it to meet the local need or contextcreative commons license image
    4. Retain control of and keep a copy of the material forever
    5. Redistribute or freely share the creation in accordance with the original Creative Commons License

ZTC - Zero Textbook Cost 

ZTC stands for Zero Textbook Cost and is a broad umbrella term for courses where there are no required textbook related costs. These courses may use a combination of openly licensed content, links to scholarly or professional websites, library resources, original content, or other free resources for students. In many cases, ZTC courses utilize a curated collection of many resources rather than a single text.

Some of the learning materials may cost the students zero dollars but a cost is incurred somewhere. For example, materials from Western Library's resources are considered ZTC but not OER. Why?

  • While the learning materials cost the students zero dollars, there is a cost to Western Library in the form of databasezero cost icon subscription fees and other material costs. 


Course Competencies (WIP, retrieved from WIDS 5/5/21)

Apply methods to retrieve data

  • identify the purpose of retrieving subsets of data
  • experiment with techniques used to select subsets of data

Demonstrate methods to summarize data

  • research software environments used to summarize data
  • explain the features of a statistical computer software

Prepare data dashboards

  • define data dashboard
  • explore characteristics of data dashboards
  • identify types of data dashboards

Analyze historical data

  • identify methods for collecting historical information
  • discuss time series analysis

Predict data trends

  • explore methods used to forecast data
  • examine how forecasts are utilized to make business decisions
  • identify risk involved in predicting data trends

Interpret statistical data

  • explain the purpose of statistical functions
  • identify tools used to calculate statistical significance
  • analyze the meaning of statistical results

Use financial evaluation methods

  • demonstrate financial calculations
  • relate financial results to effective decision-making

Evaluate optimal solutions

  • classify optimal solutions
  • explore tools used to identify optimal solutions
  • identify how to determine the optimal solution

Use data to make business decisions

  • summarize data relevance
  • differentiate between methods utilized to make business decisions
  • connect the decision to the intended audience

Data Analytics - OER

Data Analytics - Zero Textbook Cost



Python: OER/ZTC

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