Skip to content
CS Interview Preparation(MU)

icon picker

Technical Interview Preparation Guide for Computer Science Majors


Welcome to the Technical Interview Preparation Guide curated specifically for Computer Science majors at Minerva University. Technical interviews are a crucial component of the hiring process in the software engineering world. They evaluate a candidate's problem-solving skills, coding proficiency, and understanding of core computer science concepts. This guide aims to provide you with a structured path to effectively prepare for technical interviews. Whether you are beginning your journey in understanding basic algorithms and data structures or are looking to sharpen your problem-solving skills, this guide offers a plethora of resources to aid you in your preparation.


Before diving into technical interview preparation, it's essential to assess your current understanding and capabilities in key areas. Here's a self-assessment checklist to help you gauge your readiness:
Data Structures: Do you have a good understanding of basic data structures like arrays, linked lists, stacks, queues, trees, and hash tables?
Algorithms: Are you comfortable with sorting algorithms, searching algorithms, and basic graph algorithms?
Coding Proficiency: Can you comfortably write bug-free code in at least one programming language?
Problem-Solving Skills: Are you able to approach a problem systematically and come up with an efficient solution?
Interviewing: Can you comfortably and fluently explain your thought process to your interviewer in a convincing way using frameworks?
Based on your self-assessment, you can decide whether to reinforce your foundational knowledge or move on to practicing coding problems. Remember, having a solid foundation is crucial for succeeding in technical interviews.

Foundation Building

A strong foundation in data structures and algorithms is the bedrock of successful technical interview performance. Here are some resources to build or reinforce your foundation:
Online Tutorials and Articles:
: A comprehensive platform offering tutorials on a wide range of computer science topics.
: This specialization provides an in-depth understanding of the most fundamental algorithms and data structures.
: A series of courses designed to deepen your understanding of algorithm fundamentals.
: This classic textbook covers a wide range of algorithms in depth and main textbook for CS110.
: An intuitive introduction to data structures and algorithms, with practical implementations.
I organized these resources to cater for different learning preferences. Whether you prefer learning through interactive online platforms or traditional textbooks, these resources provide a robust foundation for your technical interview preparation journey.

Want to print your doc?
This is not the way.
Try clicking the ⋯ next to your doc name or using a keyboard shortcut (
) instead.