Data Structures: Foundations for Efficient Programming
This course is part of Fundamentals of Computer Science.
This intermediate-level Computer Science course introduces the foundations of data structures, essential for managing large amounts of data efficiently. Over 6 weeks, you'll progress from basic data types to complex structures like trees, sets, and graphs. The course covers the conceptual framework for organizing data, mathematical properties of sequences, and implementation of key structures such as stacks, queues, and linked lists. You'll learn how to choose appropriate data structures for representing and manipulating data, crucial for designing efficient algorithms and maintainable software. This course is part of the Fundamentals of Computer Science XSeries, providing a solid base for further studies in algorithms and advanced programming. By mastering these concepts, you'll enhance your ability to create efficient and well-structured software solutions for various computational problems.
Instructors:
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What you'll learn
Understand and apply various data structures for efficient data management
Organize large amounts of data effectively using appropriate structures
Implement basic sequence structures such as stacks, queues, and linked lists
Analyze the mathematical properties of sequences for optimal usage
Utilize trees, sets, and maps for complex data organization
Apply graph structures to solve relevant computational 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 provides a comprehensive introduction to data structures, a fundamental concept in computer science and software development. The curriculum is structured to cover a wide range of topics, starting from basic data types and gradually progressing to more complex structures. Key areas include abstract data types, mathematical properties of sequences, special types of sequences (stacks, queues, strings), implementation of sequence types (arrays and linked lists), trees, sets, maps, and graphs. Throughout the 6 weeks, students will not only learn about these structures theoretically but also gain practical understanding of their implementation. The course emphasizes the importance of choosing appropriate data structures for efficient data management and algorithm design. Students will learn how to organize data effectively, use data structures to represent and manipulate information, and create basic implementations using programming skills. This knowledge is crucial for developing efficient algorithms and creating maintainable software designs, setting a strong foundation for advanced topics in computer science.
Fee Structure
Individual course purchase is not available - to enroll in this course with a certificate, you need to purchase the complete Professional Certificate Course. For enrollment and detailed fee structure, visit the following: Fundamentals of Computer Science
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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