Inspiring Actuarial Education through Learning Communities and Research Experiences
Authors
Jeffrey Beckley, FSA
Mark Daniel Ward, PhD
Jianxi Su, FSA, PhD
Lingsong Zhang, PhD
Description
This project pertained to the development of a new Actuarial Science Learning Community model, involving four types of students' engagement: academic coursework, residential life, research, and professional development. The model provided students an immersive exposure to Data Science from the Actuarial perspective, which will result in Actuarial students greatly expanding their skill set and future job opportunities, at the intersection of Actuarial Science and Data Science.
Materials
Inspiring Actuarial Education through Learning Communities and Research Experiences
Statistics Topics Example 1 Climate Data in Jupyter Notebook
Statistics Topics Example 2 Creating Dictionaries
Statistics Topics Example 3 Bash Commands and Manuals for Analysis Languages
Statistics Topics Example 4 Functions for Retrieving Internet Data
Acknowledgments
The authors’ deepest gratitude goes to those without whose efforts this project could not have come to fruition: the volunteers who generously shared their wisdom, insights, advice, guidance, and arm’s-length review of this study prior to publication. Any opinions expressed may not reflect their opinions nor those of their employers. Any errors belong to the authors alone.
Project Oversight Group members:
Russell Jay Hendel, Ph.D., ASA
Warren Luckner, FSA, MAAA, CFA
At the Society of Actuaries Research Institute:
R. Dale Hall, FSA, MAAA, CFA, CERA, Managing Director of Research
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