Syllabus:

This is a tutorial style course with problem solving sessions on Algorithms and Data Structures. Special focus will be on type of problems asked at interviews of software development companies. Includes arrays, strings, linked lists, stacks, queues , variants of binary search trees, dynamic programming, greedy algorithms, graph algorithms, disjoint sets and union find, hash tables, bit manipulation algorithms. Over 100 problems will be covered in the course and is aimed at giving the students an edge in the competitive job market. The full course includes:

• Offered for Colleges and Universities.
• Live online instructor led algorithm design sessions.
• Online programming tests.
• Online Quizzes 
• Can be customized as per institutional needs.

Algorithm Design in the LLM age (written by ChatGPT)

In today's rapidly evolving technological landscape, the roles of algorithm design and coding are both significant, albeit their importance can vary depending on the specific context and tasks at hand. The emergence of large language models (LLMs)  has shifted the emphasis of coding tasks, with routine implementation or translation of algorithms into code potentially becoming less emphasized. However, algorithm design remains a crucial skill for numerous reasons.

Efficiency is paramount; well-designed algorithms can notably enhance the efficiency and performance of software systems. Despite the multifunctionality of LLMs, efficiently crafted algorithms can still outperform them in terms of speed and resource utilization.

Algorithm design is deeply intertwined with problem-solving. It entails breaking down complex problems into manageable parts and devising optimal solutions—a skill invaluable across various domains beyond coding tasks alone.

Moreover, understanding underlying algorithms enables adaptation and customization of solutions to specific requirements or constraints, empowering developers to optimize existing algorithms or devise novel solutions when necessary. This adaptability fuels innovation, encouraging developers to think creatively and devise new problem-solving approaches, especially in domains where off-the-shelf solutions may not suffice.

Understanding algorithms serves as a foundational pillar for learning and mastering other computer science concepts. It aids developers in grasping advanced topics such as data structures, optimization techniques, and machine learning algorithms more effectively.

While coding skills are indispensable for implementing algorithms, algorithm design encompasses a broader skill set crucial for problem-solving and innovation. Thus, both algorithm design and coding remain invaluable skills, complementing each other in the software development process.

Looking ahead, the importance of algorithm design skills is poised to remain crucial, particularly with the ascent of LLMs and automated coding tools. These skills will be instrumental in optimizing, customizing, innovating, interpreting, securing, and collaborating with these technologies. As such, developers equipped with strong algorithmic knowledge will continue to shape the trajectory of automated coding, ensuring its efficiency, adaptability, and reliability in the ever-evolving technological landscape.