Advanced Algorithms: From Sorting to Graph Theory
Master essential algorithms for tech interviews and scalable systems. Learn sorting, searching, and graph algorithms in 6 weeks.
Master essential algorithms for tech interviews and scalable systems. Learn sorting, searching, and graph algorithms in 6 weeks.
This intermediate-level Computer Science course delves into the world of algorithms, crucial for powering major web companies and startups. Over six weeks, you'll learn to think algorithmically and create efficient solutions to complex problems. The course covers a wide range of topics, starting with sorting techniques like quicksort and merge sort, and searching algorithms including median finding and order statistics. It then progresses to more advanced concepts such as numerical algorithms, string algorithms (pattern matching, subsequences), geometric algorithms (sweep, convex hull), and graph algorithms (shortest path, spanning tree). By the end of the course, you'll understand how to structure important algorithms, use them with appropriate data structures to solve real-life problems, and design systems at scale. This course is part of the Fundamentals of Computer Science XSeries, providing a comprehensive foundation in algorithmic thinking essential for tech industry success.
Instructors:
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What you'll learn
Master advanced sorting techniques including quicksort and merge sort
Implement efficient searching algorithms and understand order statistics
Apply numerical algorithms for operations like polynomial multiplication and matrix operations
Develop string algorithms for pattern matching and subsequence problems
Utilize geometric algorithms such as sweep and convex hull
Understand and implement graph algorithms for shortest path and spanning tree problems
Skills you'll gain
This course includes:
PreRecorded video
Graded assignments, exams
Access on Mobile, Tablet, Desktop
Limited Access access
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Module Description
This course offers a comprehensive exploration of advanced algorithms, essential for both technical interviews and large-scale system design. The curriculum is structured to cover a wide range of algorithmic concepts, starting from fundamental sorting and searching techniques and progressing to more complex numerical, string, geometric, and graph algorithms. Key topics include quicksort, merge sort, median finding, polynomial multiplication, matrix operations, pattern matching, convex hull, and graph traversal algorithms like shortest path and spanning tree. Throughout the six weeks, students will not only learn the structure of these important algorithms but also gain practical understanding of how to apply them to real-world problems. The course emphasizes the importance of choosing appropriate algorithms and data structures for efficient problem-solving and system design at scale. This knowledge is crucial for developing optimized software solutions and is highly valued in the tech industry, particularly for roles in leading web companies and promising startups.
Fee Structure
Instructors
5 Courses
Pioneering Computer Scientist and Education Innovator at IIT Bombay
Dr. Deepak B. Phatak is a Professor Emeritus in the Department of Computer Science and Engineering at IIT Bombay, with a distinguished career spanning over five decades. Joining IIT Bombay in 1971, Phatak has held various leadership positions, including Head of the CSE department, Dean of Resources, and founding head of the Kanwal Rekhi School of IT. His research focuses on technology application and deployment, with a particular emphasis on improving education quality at a large scale. Phatak is renowned for his contributions to several groundbreaking initiatives, including upgrading the Aakash tablet, introducing smart cards in Indian payment systems, fostering business incubation for startups, conducting large-scale teacher training programs, developing the IITBombayX MOOC platform, and advocating for blended MOOCs. As an Open Source evangelist, he has championed the use of Free and Open Source Software. Phatak's expertise has been sought by financial and industrial organizations, and he has served on numerous boards. His significant contributions to science and technology were recognized with the Padma Shri award in 2013. Throughout his career, Phatak has remained committed to leveraging technology to address India's educational challenges and national aspirations.
5 Courses
Multifaceted Research Manager Bridging Technology and Social Impact at IIT Bombay
Nagesh Karmali is a Senior Manager (Research) in the Department of Computer Science and Engineering at IIT Bombay, where he has been associated since 2005. As the head of the Fundamental Research Group, Karmali's work spans a diverse range of fields, including parallel databases, big data analytics, adaptive recommendation systems, and peer evaluation systems. His research interests extend to theoretical areas such as category theory, control theory, system dynamics, and music theory, showcasing his multidisciplinary approach. Karmali has made significant contributions to academic mentorship, having guided over 70 B.Tech, Dual Degree, and M.Tech theses since 2008. His commitment to open knowledge sharing is evident through the research project wiki he maintains at www.it.iitb.ac.in/frg/wiki. Beyond his academic pursuits, Karmali demonstrates a passion for grassroots learning, often traveling across villages to gain insights from local communities. This unique combination of technical expertise and social engagement positions Karmali as a valuable asset in bridging cutting-edge technology with real-world applications and societal impact at IIT Bombay.
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