Quantitative Literacy (2)

Quantitative Literacy

ESLO 5 Quantitative Literacy

 Oregon Tech students will demonstrate quantitative literacy.

Definition

Quantitative literacy comprises the ability to appropriately extract, interpret, evaluate, construct, communicate, and apply quantitative information (e.g., equations, graphs, diagrams, tables, prose) and methods to solve problems, evaluate claims, and support decisions in students’ everyday professional, civic, and personal lives.

Criteria

  • Calculate: Perform mathematical calculations correctly and evaluate/confirm that they have done so.
  • Interpret: Extract and interpret quantitative information presented in various commonly used forms.
  • Construct Representations: Convert relevant quantitative information and data into different forms as appropriate.
  • Apply in Context: Apply appropriate quantitative methods, draw justified conclusions, evaluate claims, and make decisions based on quantitative information. Make and evaluate key assumptions in estimation, modeling, and data analysis.
  • Communicate: In writing and (where appropriate) in speaking, effectively communicate accurate quantitative information in support of conclusions. In doing so, use representations of quantitative evidence appropriate to both audiences and purpose.

Pathway Requirement

Foundation:  


  • MATH 243 - Introductory Statistics or MATH 361 - Statistical Methods I

Essential Practice:            


  • 3 credits from Quantitative Literacy – Essential Practice list                                                                                    

Program-Integrated Practice:


  • 1 course, defined by program, that integrates quantitative literacy in the context of the major.
                                                                                     

ESLO Quantitative Literacy Course Approval

Implied

ESLO Quantitative Literacy Committee Chair

Kari Lundgren

Kari Lundgren, Assistant Professor

OfficeSE117

ESLO Quantitative Literacy Committee Members

Richard Bailey

Richard Bailey, Professor

OfficeOW117
Gregg Waterman

Gregg Waterman, Associate Professor

OfficeBH192
Tara Guthrie

Tara Guthrie, Assistant Professor

OfficeDOW E206
Terri Torres

Terri Torres, Associate Professor

OfficeBH176
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