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Updated in [June 30th, 2023]

This course, Data Structures & Algorithms I: ArrayLists LinkedLists Stacks and Queues, is designed to introduce students to time complexity and the principles of data storage in Arrays and LinkedList nodes. It requires some prior knowledge of Java and object-oriented programming, but not in data structures or algorithms. The course is divided into modules, each consisting of instructional videos, textual frames, video errata dropdown boxes, an Exploratory Lab with a Visualization Tool, discovery questions, comprehension questions, Java coding assignments, and a course exam. This course is derived from the on-campus version of CS1332 at the Georgia Institute of Technology and is backed with an impressive reputation.

[Applications]
Upon completion of this course, students will have a better understanding of data structures and algorithms, and be able to apply this knowledge to their own programming projects. They will be able to use the principles of time complexity to analyze the efficiency of data structures and algorithms, and be able to implement them in Java. Students will also be able to use recursion to traverse data structures, and be able to use the Visualization Tool to explore the edge cases.

[Career Path]
A career path recommended to learners of this course is that of a Data Structures & Algorithms Engineer. This job position involves designing, developing, and implementing efficient data structures and algorithms to solve complex problems. The engineer must have a deep understanding of the principles of data storage, time complexity, and the ability to program low-level data structures such as LinkedLists and Arrays. They must also be able to analyze the efficiency of the data structures and algorithms and be able to identify edge cases.

The development trend for this job position is that it is becoming increasingly important in the tech industry. As technology advances, the need for efficient data structures and algorithms is becoming more and more important. Companies are looking for engineers who can design and develop efficient solutions to complex problems. As a result, the demand for Data Structures & Algorithms Engineers is expected to continue to grow in the coming years.

[Education Path]
The recommended educational path for learners is a Bachelor's degree in Computer Science. This degree will provide students with a comprehensive understanding of the fundamentals of computer science, including programming, software engineering, computer architecture, operating systems, databases, and networks. Students will also learn about the latest technologies and trends in the field, such as artificial intelligence, machine learning, and cloud computing. Additionally, they will gain the skills necessary to design, develop, and maintain software applications.

The development trend of this degree is to focus on the application of computer science to solve real-world problems. This includes the development of new algorithms, the use of machine learning and artificial intelligence to automate tasks, and the use of cloud computing to store and process data. Additionally, students will learn about the ethical implications of computer science and the importance of data security. As technology continues to evolve, the degree will also focus on the development of new technologies and the application of existing technologies to new areas.