The algorithms for software engineering test evaluates candidates’ knowledge of algorithmic approaches and their ability to solve situational tasks using them. This test helps you identify programmers who are proficient in applying algorithms.
Growth functions, sorting algorithms, and divide-and-conquer approaches
Heaps, recursion, dynamic programming, and amortized analysis
Greedy algorithms and graph search algorithms
Advanced graph algorithms
Software engineers, data engineers, data analysts, artificial intelligence engineers, R&D engineers, and any other roles requiring intermediate knowledge of algorithms for software engineering.
In our age of information and technology, businesses of all kinds handle vast amounts of data and work to build applications. Algorithms are at the heart of computing, and people with algorithmic knowledge can quickly and efficiently recognize certain questions and patterns, allowing your business to leverage the power of computer programming in a way that is more efficient and less prone to error.
Traditional algorithmic approaches provide efficient solutions to a vast universe of problems. Such algorithms can be rearranged to meet exact business requirements. The questions on this algorithms for software engineering test focus on a variety of real-life scenarios and problems that can be solved using algorithms. Questions on the test are related to all aspects of computer and information science, from software engineering to data science.
This algorithms for software engineering test evaluates candidates’ understanding of growth functions, sorting algorithms, and divide-and-conquer approaches. It also examines candidates’ skills in heaps, recursion, dynamic programming, amortized analysis, greedy algorithms, and graph algorithms. Lastly, the final skill area covers advanced graph algorithms. Overall, this comprehensive algorithms for software engineering test provides a comprehensive overview of candidates’ algorithmic knowledge at an intermediate level.
Candidates who perform well on this test have a strong knowledge of traditional algorithmic approaches and can select the best approach to use when working on situational, real-life tasks. This test will help you to hire candidates who have all the necessary skills to help your company achieve its goals in computer and information science, software engineering, and data analysis.
Gary has been working in the data science field for more than three years and is proficient in the fields of machine learning and data analysis. He has a Bachelor’s degree in Economics and a Master’s degree in Computer Science. The combination of those two fields helps Gary to achieve even greater results. He is fond of computer science and loves to work on projects related to Artificial Intelligence which is, in his opinion, the future of our world.
TestGorilla’s tests are created by subject matter experts. We assess potential subject-matter experts based on their knowledge, ability, and reputation. Before being published, each test is peer-reviewed by another expert, then calibrated using hundreds of test takers with relevant experience in the subject. Our feedback mechanisms and unique algorithms allow our subject-matter experts to constantly improve their tests.
TestGorilla helps me to assess engineers rapidly. Creating assessments for different positions is easy due to pre-existing templates. You can create an assessment in less than 2 minutes. The interface is intuitive and it’s easy to visualize results per assessment.
VP of Engineering, Mid-Market (51-1000 emp.)
Any tool can have functions—bells and whistles. Not every tool comes armed with staff passionate about making the user experience positive.
The TestGorilla team only offers useful insights to user challenges, they engage in conversation.
For instance, I recently asked a question about a Python test I intended to implement. Instead of receiving “oh, that test would work perfectly for your solution,” or, “at this time we’re thinking about implementing a solution that may or may not…” I received a direct and straightforward answer with additional thoughts to help shape the solution.
I hope that TestGorilla realizes the value proposition in their work is not only the platform but the type of support that’s provided.
For a bit of context—I am a diversity recruiter trying to create a platform that removes bias from the hiring process and encourages the discovery of new and unseen talent.
Chief Talent Connector, Small-Business (50 or fewer emp.)
The Algorithms for Software Engineering test will be included in a PDF report along with the other tests from your assessment. You can easily download and share this report with colleagues and candidates.