Online Engineering Math Test - Pre-Employment Skill Assessment
What is the test about?
Covered skills
Test creator
Jonas Schmutte, a proficient Full Stack Developer, is currently deployed at Libri GmbH. Armed with a Bachelor's and a Master's degree in Computer Science from the University of Bremen, he excels in Machine Learning, Artificial Intelligence, Human-Technology Interaction, and Software Development.
Adding gloss to his academic accomplishments, Jonas has honed his professional forte at Bijou Brigitte as a Software Developer and at Seghorn AG as a Data Analytics Intern. His professional experience covers key facets like development and maintenance of cashier systems, data analytics, and machine learning systems. With his adept analytical skills and knack for technical problem-solving, Jonas is a fusion of academic excellence and professional robustness.
Who should take this test?
Description
This Engineering Math Test assesses candidates on their knowledge and application of fundamental engineering mathematics, including calculus, differential equations, linear algebra, and statistical methods in the realm of engineering. It examines their skills in number theory, probability and statistics, and complex analysis, which play fundamental roles in areas like computer engineering, electrical engineering, and data analysis.
Candidates who perform well in this test have solid mathematical foundations, precise analytical skills, and the ability to apply these mathematical principles to engineering scenarios. Additionally, successful candidates demonstrate decisive problem-solving skills, allowing them to tackle an array of challenges that may occur during the engineering process.
This test is suitable for aspiring engineers, current engineering students, and professionals seeking to illustrate their mathematical prowess within an engineering context.
Overview
Test creator
Jonas Schmutte, a proficient Full Stack Developer, is currently deployed at Libri GmbH. Armed with a Bachelor's and a Master's degree in Computer Science from the University of Bremen, he excels in Machine Learning, Artificial Intelligence, Human-Technology Interaction, and Software Development.
Adding gloss to his academic accomplishments, Jonas has honed his professional forte at Bijou Brigitte as a Software Developer and at Seghorn AG as a Data Analytics Intern. His professional experience covers key facets like development and maintenance of cashier systems, data analytics, and machine learning systems. With his adept analytical skills and knack for technical problem-solving, Jonas is a fusion of academic excellence and professional robustness.