SPE Online Education
Programming for Engineers Webinar Series
Recorded On: 09/22/2016
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This four-part webinar series will review fundamental computer science and programming concepts in the context of writing Visual Basic for Applications (VBA) "macros" to automate Microsoft Excel. We'll build simple automated tools for common oil & gas tasks while covering algorithms, data structures, program design, and debugging. Along the way we'll explore the Excel automation API, discuss the limitations of the Excel/VBA environment, and discover some topics for future self-directed learning.
When you register you are automatically signed up for all four parts of this series! Each session runs 60 minutes.
Click on the tabs above to get details on each session and to learn more about the speaker.
Please fill out the pre-event survey when you register so we can learn more about you and tailor this series to your needs! Click on the "Pre-Event Survey" button to the right.
This webinar is categorized under the Data Science and Engineering Analytics discipline.
In the first one-hour session on September 19, we'll cover fundamental programming concepts in the context of the VBA language. Data types, functions, and basic data structures will be used to build simple calculations that can be used from Excel spreadsheets.
In the second one-hour session on September 20, we'll discuss object-oriented programming and begin exploring the Excel automation API. We'll begin work on a larger "case study" project and use the VBA debugger to locate programming errors.
In the third one-hour session on September 21, we'll complete the case study project started in the second session. We'll also discuss how to provide a graphical user interface for Excel automation projects using VBA's built-in tools.
In the final session on September 22, we'll review what we've accomplished, survey selected additional topics, and discuss other programming languages and paradigms that students may wish to explore in the future.
Derrick W. Turk
Data Science Consultant
Derrick W. Turk is an independent data science consultant supporting the E&P industry. His consulting work frequently incorporates completion optimization, reservoir characterization, machine learning, and custom software development. He is the author of the aRpsDCA open-source library for decline curve analysis and developer of several proprietary custom software systems for production forecasting, portfolio modeling, and other tasks.
Prior to his consulting career, he worked as a reservoir engineer assisting exploration and A&D efforts with numerical and statistical modeling. Derrick holds a B.S. in Mechanical Engineering degree from the University of Texas and has been a member of SPE since 2010.
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