Data Structures & Algorithms II: Binary Trees, Heaps, SkipLists and HashMaps

The Georgia Institute of Technology, founded in 1885 and located in Atlanta, is a leading public research university renowned for engineering, computing, business, and design. With a large and diverse student body and a global reputation for innovation, Georgia Tech blends rigorous academics with applied research and entrepreneurship. Its mission focuses on developing leaders who advance technology and improve the human condition, preparing students for impactful careers worldwide.

Georgia Tech offers more than a century of tradition in experiential learning, industry collaboration, and global engagement. Students benefit from strong ties to industry in Atlanta and beyond, extensive research centers, and a culture that encourages interdisciplinary projects, startups, and societal problem solving. Services like career advising, co-op placements, and study abroad opportunities help convert classroom learning into professional momentum.

International students are a vibrant part of the campus community and can access dedicated support for visas, orientation, and academic transition. With robust research programs, active global partnerships, and nearly 10,000 international colleagues, Georgia Tech is an attractive choice for students seeking a high-impact, technology-driven education in a dynamic urban setting.

This program is a Non-degree course in Data Structures & Algorithms II, suitable for students who want to learn about Binary Trees, Heaps, SkipLists, and HashMaps. It's a 1-week online program taught in English at the Georgia Institute of Technology.

The curriculum covers specific data structures like Binary Trees and Heaps, helping students develop skills in algorithm design and problem-solving. Students will learn through hands-on components and practice implementing data structures.

After completing this program, students can pursue careers as Software Engineers, Data Analysts, Algorithm Specialists, or IT Consultants. They can work in various industries, including tech and finance, for employers like Google or Microsoft.