Algonquin College
Algonquin College
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Chris Dela Cruz
Learner
(1)
3
Portals

Skills

Agriculture 1 Computer simulation 1 Mathematical modeling 1 Python (programming language) 1

Latest feedback

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Cristina Anton
Professor
March 1, 2024
Team feedback
Computer simulation Python (programming language) Mathematical modeling Agriculture
Excellent work with very interesting applications.
MacEwan Level UP
MacEwan Level UP: December 2023 - March 2024
MacEwan Level UP
MacEwan University: Department of Anthropology, Economics and Political Science; Department of Decision Sciences; Department of Mathematics and Statistics
Optimization methods for agriculture insurance
MacEwan University: Department of Anthropology, Economics and Political Science; Department of Decision Sciences; Department of Mathematics and Statistics

Achievements

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Community Builder
Issued by Riipen
The Community Builder achievement is awarded to learners who provided feedback to project partners at the conclusion of their project, helping to create a better experiential learning ecosystem for all participants.
Mar 1, 2024
Work-Integrated Learner
Issued by Riipen
The Work-Integrated Learner achievement is awarded to learners who applied their skills to a real-world problem by completing a project for an external partner. These learners provided real benefit to businesses while developing experience.
Feb 28, 2024
Project Participant
Issued by Riipen
The Project Participant achievement is awarded to learners who start their first project, demonstrating their commitment to putting learned skills to practice.
Jan 19, 2024

Recent projects

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MacEwan University: Department of Anthropology, Economics and Political Science; Department of Decision Sciences; Department of Mathematics and Statistics
MacEwan University: Department of Anthropology, Economics and Political Science; Department of Decision Sciences; Department of Mathematics and Statistics
Edmonton, Alberta, Canada

Optimization methods for agriculture insurance

This project is an application of mathematical modelling and optimization to a livestock insurance problem. The goal is to analyze various scenarios from a farmer’s perspective and to minimize the loss. The main idea is to design and implement in Python a numerical simulation, including various scenarios in terms of the farm size and insurance premiums.  

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