Java Enterprise Web Development (BJW303)
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Data Structures and Algorithms (BSC305)
Data Structures and Algorithms (BSC305) builds a strong foundation in problem-solving and computational thinking — essential for technical interviews, software development, and efficient backend architecture. The course covers core data structures such as arrays, linked lists, stacks, queues, trees, and hash tables, along with classic sorting and searching algorithms.
Through hands-on coding labs, algorithm analysis exercises, and real-world problem-solving challenges, you’ll gain the skills to write optimized, maintainable code using industry-standard approaches. This course prepares you to tackle complex programming tasks and excel in both academic and professional development environments.
Master core structures and algorithms that power efficient software.
Master core structures and algorithms that power efficient software.
Build logic and performance through sorting, searching, and recursion.
Build logic and performance through sorting, searching, and recursion.
Learn how data structures improve code speed and scalability.
Learn how data structures improve code speed and scalability.
Explore linked lists, stacks, trees, and more with real-world use cases.
Explore linked lists, stacks, trees, and more with real-world use cases.
Strengthen computational logic through classic algorithms and techniques.
Strengthen computational logic through classic algorithms and techniques.
Students engage in algorithmic thinking and hands-on programming — implementing data structures like linked lists, stacks, trees, and hash tables while solving classic algorithm challenges. Captured moments show learners coding search and sort algorithms, tracing recursive functions, and visualizing time complexity through real examples. Whether sketching logic on whiteboards or debugging code in IDEs, these snapshots highlight the development of critical problem-solving and coding skills in real-world software scenarios.
Java Enterprise Web Development (BJW303)
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