Practical Applications of Python in Metallurgy

– Intro to Data Analysis

Date: August 20-21, 2022
Duration: 9-14 hours

Price: $800 Regular, $400 Student

If you are interested in registering for this short course ONLY without registering for the Conference of Metallurgists, please fill out the form and send the information to metsoc@cim.org.

Register for a Short Course

Course description

Many engineering professionals learn how to code in school but never put those skills to use in the real world. This is a missed business opportunity as there is substantial value contained within historical production databases that can be used to inform and improve plant performance.

This short course will teach simple, practical and immediately useable data analysis skills in python (a free, open source software) through a hands on, interactive course. Attendees will learn how to: clean and manipulate data, communicate ideas with graphics, automate repetitive tasks in Excel as well as how to present findings to management teams in simple, non-technical ways. The first day of the course will be used to teach/review the fundamental skills of python and the second day will focus on applying these skills to a case study example. The target audience is process engineers, process EIT’s and engineering students that are or will be working with production data in a metallurgical facility such as a concentrator, smelter or refinery.

Intended audience

The target audience is process engineers, process EIT’s and engineering students that are or will be working with production data in a metallurgical facility such as a concentrator, smelter or refinery.

The expected turnout is 10 – 15 people. The class size needs to be small because it is a hands-on course and we want to be able to work closely with everyone to make it interactive.

Meet the Organizers/Presenters

Arthur Stokreef

Arthur Stokreef is experienced at using data analysis to add value in his roles which have spanned technology research and development, mineral processing and pyrometallurgy. In his current position at Canada Nickel Company, Arthur uses Python for geometallurgical data analysis to understand how different ore types behave during mineral concentration. He graduated with a Master’s of Applied Science in Mining Engineering from Queen’s University in 2019 where he developed a passion for teaching.

Kurt Westhaver

Kurt Westhaver is a Process Control Engineer at XPS Expert Process Solutions (a Glencore Company). In this role, Kurt provides process control, automation and process engineering support to Glencore operations, and other external clients. While completing his Masters of Applied Science degree in Chemical Engineering at McMaster University, Kurt developed an expertise in multivariate statistical methods for big data analysis, a skillset which he has continued to refine and expand as a member of XPS. In his current role, Kurt uses Python to mine process and equipment data for valuable insights, and to build and implement advanced models that aim to optimize operational and maintenance practices.