Industrial Engineering with Computer Science

ally-2017 Industrial and Systems 2 Comments

I like to think of Industrial and Systems Engineering as applied problem solving. The foundation of my classes is math like probability, statistics, and linear algebra which we then use for operations research to solve complex problems. These problems can vary to economic to resource allocation problems which really allow for a diverse application.

Within Industrial and Systems Engineering, I am on the Computer Science track. This track is specifically designed to solve Computer Science problems and provides a solid foundation of coding and computer algorithms.

Industrial engineers are needed anytime information has to be analyzed. This could be figuring out how to price products to make the maximize profit, or how to design a lightbulb that uses the least amount of energy. This summer I’ll be using my systems knowledge to analyze the AGILE method at Visa and to figure out how to make the business team as efficient and productive as possible.

FUN FACT: Tim Cook, CEO of Apple, is an Industrial and Systems Engineer!




Industrial & Systems Engineering, Class of 2017, Learn more on her profile here!

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    Interesting fields by the way. Beside solving Computer Science problems and provides a solid foundation of coding and computer algorithms, what is other difficult problem when theory is not the same as reality in industry?

    1. Ally Post

      Hi! Our classes are very focused on teaching material that is directly applicable to the real world. ISE is really cool in that we are not defined by a specific industry and learn the tools to create systems of equations out of any problem. The theories we learn are about modeling problems so the trickiest part would be figuring out the constraints, variables, and objectives but it can always be done!

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