Regis University Development Practice program also offers praxis, a series of 1-credit, open enrollment professional development courses in a variety of topics, including monitoring and evaluation, qualitative data collection and assessment, and data visualization.

All praxis courses promote international professional engagement through a live global classroom. Courses may be taken individually, outside the praxis certificate track.

The courses are two weeks in length and taught in a blended format, with live lectures (attended remotely or in person) combined with independent work. Lectures begin at 7 a.m. MST, and complement individual readings and assignments.

For more information, contact Development Practice Program Coordinator Amanda Filipczuk at afilipczuk@regis.edu, Program Director Nina Miller at nmiller004@regis.edu or visit regis.edu/mdp.

2019 Skills Course Schedule:


Monitoring and Evaluation I: Foundations and Frameworks 

April 1st - 12th; Lectures from 7am-9am on April 2nd, 5th, 9th, & 12th

Monitoring and Evaluation II: Design and Data Management

May 6th - 17th; Lectures from 7am-9am on May 7th, 10th, 14th, & 17th

Monitoring and Evaluation I: Foundations and Frameworks 

May 20th - 31st; Lectures from 7am-9am on May 21st, 24th, 28th, & 31st

Monitoring and Evaluation II: Design and Data Management

June 3rd - 14th; Lectures from 7am-9am on June 4th, 7th, 11th, & 14th

Qualitative Data Collection

June 17th - 28th; Lectures on June 18th and 25th

Qualitative Data Assessment

July 15th - 26th; Lectures on July 16th and 23rd

Data Visualization

August 6th, 9th, 13th, & 16th

Monitoring and Evaluation III: Special Topics

TBD

Monitoring and Evaluation I

This course will provide students with a working knowledge of the field of M&E and lay the foundation for continued learning and implementation. 

Students will learn:

  • Key concepts and associated terms of M&E
  • Frameworks for establishing causal logic
  • Approaches to defining and measuring project deliverables and impacts
  • Development of a logic model

Monitoring and Evaluation II

This course will prepare students to design M&E plans for various social impact programs and organizations.

Students will learn:

  • Indicator development
  • Data collection methodologies
  • Evaluation and optimizing evaluation outcomes
  • M&E tools for data visualization, mobile data collection and data analysis
  • Development of an M&E plan

Qualitative Data Collection

This course is a practical overview of the principles and process of qualitative data collection to improve your interviews and focus groups. 

Students will learn:

  • Researcher as the instrument 
  • Active listening 
  • Developing effective questions 
  • Facilitating generative discussions

Qualitative Data Assessment

This course is a useful introduction to the principles and practice of qualitative data assessment to honor the voice of your participants and inform better decisions. 

Students will learn:

  • Triangulating findings with qualitative and quantitative data 
  • Inductive and deductive coding 
  • Effective work with teams
  • Qualitative analysis tools and software

Data Visualization

In an increasingly data-rich world, visualization is more important than ever for communicating trends in global development. Well-designed visualizations can provide important insight, while poor design can be confusing at best and misleading at worst. This course will cover the basics of data visualization, including interpretation and best practices for designing graphs, maps, and other visualization approaches. Students will learn to better interpret and improve on visualizations they encounter, and to create clearer and more informative visualizations for use in development practice.