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Updated in [June 30th, 2023]

This course provides an overview of algorithms and their applications. Students will learn how to think about algorithms and create them using sorting techniques such as quick sort and merge sort, and searching algorithms, median finding, and order statistics. Numerical, String, and Geometric algorithms such as Polynomial Multiplication, Matrix Operations, GCD, Pattern Matching, Subsequences, Sweep, and Convex Hull will also be covered. The course will conclude with graph algorithms like shortest path and spanning tree. This course is part of the Fundamentals of Computer Science XSeries Program, which includes Programming Basics, Object-Oriented Programming, Foundations of Data Structures, and Implementation of Data Structures.

[Applications]
Upon completion of this course, students can apply their knowledge of algorithms to develop efficient solutions to real-world problems. They can also use their understanding of algorithms to design and analyze software systems, as well as to optimize existing systems. Additionally, students can use their knowledge of algorithms to develop new algorithms for solving complex problems.

[Career Path]
A career path in algorithms can lead to a job as an Algorithm Engineer, a role that involves designing, developing, and optimizing algorithms for a variety of applications. Algorithm Engineers are expected to have a strong understanding of data structures, algorithms, and software engineering principles. They must be able to analyze and solve complex problems, and have the ability to communicate their solutions effectively. Algorithm Engineers must also be able to work in a team environment and collaborate with other engineers and stakeholders.

The development trend for Algorithm Engineers is to stay up to date with the latest technologies and trends in the field. Algorithm Engineers must be able to adapt to new technologies and be able to quickly learn and apply new algorithms. They must also be able to identify and solve problems quickly and efficiently. As technology advances, Algorithm Engineers must be able to keep up with the changes and be able to develop new algorithms to meet the needs of the industry.

[Education Path]
The recommended educational path for learners is to pursue a degree in Computer Science. This degree will provide a comprehensive understanding of the fundamentals of computer science, including algorithms, data structures, programming languages, operating systems, and computer architecture. The degree will also cover topics such as artificial intelligence, computer networks, and software engineering. The development trend of this degree is to focus on the application of computer science in various fields, such as healthcare, finance, and robotics. Additionally, the degree will emphasize the importance of ethical considerations in the development of computer systems.