About this Course
Algorithms and data structures are the essential frameworks for solving almost any computer engineering problem. You need a fundamental grasp of these tools to understand how computers and programming languages work. What's more, expertise in algorithms and data structures helps you evaluate their relative strengths and weaknesses and decide on the best solutions.
In this course, you’ll examine, create, compare and test the major types of algorithms and data structures. You’ll learn how to conduct a Big-O analysis to assess the complexity and runtime of your code, and how to understand the tradeoffs of using different algorithms and data structures. You’ll learn to identify different problem-solving approaches and how to forge solutions for optimal performance and efficiency.
Because this course is for experienced programmers, it doesn’t teach any programming. It is language-agnostic, but coursework is in Python or C#.
▸ Related Article: How to Become a Software Developer
DESIGNED FOR
Those with experience coding in a common programming language — like Python, C#, C++, Java — and who are looking to move into computer science or software development.
See Requirements
ADMISSION REQUIREMENTS
To apply, you must have ONE of the following:
- Completed Foundations of Programming (Python)
- Combination of:
- Basic programming knowledge: Understanding of fundamental programming concepts and syntax in at least one programming language (e.g., Python, Java, C#).
- Problem-solving skills: Ability to break down complex problems into manageable tasks.
- Familiarity with development tools: Experience with integrated development environments (IDEs), version control systems (e.g., Git), and basic debugging tools.
- Basic understanding of the software development lifecycle (SDLC): Awareness of the phases of software development, from requirements gathering to deployment.
- Mathematical foundations: Solid grasp of basic mathematics, particularly in areas relevant to programming and algorithm design such as logic, algebra and potentially discrete math.
TIME COMMITMENT
Including time in class, you should expect to spend about six to 10 hours each week on coursework.
English Proficiency
If English is not your native language, you should have at least intermediate English skills to enroll. To see if you qualify, make sure you are at the B2 level on the CEFR self-assessment grid. To learn more, see English Language Proficiency Requirements – Noncredit Programs.
International Students
Because this offering is 100% online, no visa is required and international students are welcome to apply. For more information, see Admission Requirements for International Students.
TECHNOLOGY REQUIREMENTS
- Access to a computer with:
- Recent operating system (Windows 10 or later/Mac OS X 10.7.4 or later) and web browser
- Administrator privileges to install software
- High-speed internet connection
- Headset and webcam (recommended)
Completing the Course
To successfully complete this course, you must fulfill the requirements outlined by your instructor.
▸ Explore More: Want to get started in coding? Check out our Foundations of Programming (Python) course — or find the right programming language for you.
WHAT YOU’LL LEARN
- How to understand number base systems and recursion
- Approaches for sorting algorithms and Big-O analysis
- Techniques for using arrays, lists, stacks, queues, binary trees and binary search trees, hash tables, binary heaps and priority queues, and graphs
GET HANDS-ON EXPERIENCE
- Build data structures from scratch
- Create and implement algorithms from scratch
- Practice common job interview problems that involve algorithms
EARN A DIGITAL BADGE
After successfully completing this course, you can claim a digital achievement badge that can be shared on LinkedIn and other social media sites. Learn more about digital badges.
OUR ENROLLMENT COACHES ARE HERE TO HELP
Connect with an enrollment coach to learn more about this offering. Or if you need help finding the right certificate, specialization or course for you, reach out to explore your options.