Introduction to Algorithms

Massachusetts Institute of Technology via MIT OpenCourseWare

Overview

This course is an introduction to mathematical modeling of computational problems, as well as common algorithms, algorithmic paradigms, and data structures used to solve these problems. It emphasizes the relationship between algorithms and programming and introduces basic performance measures and analysis techniques for these problems.

Syllabus

1. Algorithms and Computation.
2. Data Structures and Dynamic Arrays.
Introduction to Algorithms - Problem Session 1: Asymptotic Behavior of Functions and Double-ended....
3. Sets and Sorting.
4. Hashing.
Problem Session 2 (MIT 6.006 Introduction to Algorithms, Spring 2020).
5. Linear Sorting.
Problem Session 3.
6. Binary Trees, Part 1.
7. Binary Trees, Part 2: AVL.
Problem Session 4.
8. Binary Heaps.
9. Breadth-First Search.
Quiz 1 review.
10. Depth-First Search.
11. Weighted Shortest Paths.
Problem Session 5.
12. Bellman-Ford.
Problem Session 6.
13. Dijkstra.
Problem Session 7.
14. APSP and Johnson.
Quiz 2 Review.
15. Dynamic Programming, Part 1: SRTBOT, Fib, DAGs, Bowling.
16. Dynamic Programming, Part 2: LCS, LIS, Coins.
Problem Session 8.
17. Dynamic Programming, Part 3: APSP, Parens, Piano.
18. Dynamic Programming, Part 4: Rods, Subset Sum, Pseudopolynomial.
19. Complexity.
Quiz 3 Review.
20. Course Review.
21. Algorithms—Next Steps.

Taught by

MIT OpenCourseWare

Reviews

4.7 rating, based on 21 Class Central reviews

Start your review of Introduction to Algorithms

Aleesha PS

I found this course to be an excellent resource for refreshing my understanding of fundamental algorithms and data structures. The course content is comprehensive, covering topics ranging from sorting and searching algorithms to graph algorithms and…

I found this course to be an excellent resource for refreshing my understanding of fundamental algorithms and data structures. The course content is comprehensive, covering topics ranging from sorting and searching algorithms to graph algorithms and dynamic programming.The lectures are well-structured and easy to follow, with clear explanations and examples provided by the instructor. Additionally, the course includes practical exercises and assignments that helped reinforce the concepts learned in each module.One aspect that I particularly appreciated was the emphasis on real-world applications of the algorithms discussed. The instructor provided insights into how these algorithms are used in various industries and scenarios, which made the material more engaging and relevant.Overall, I highly recommend this course to anyone looking to gain a solid understanding of algorithms or to brush up on their existing knowledge. Whether you're a beginner or a seasoned programmer, you'll find valuable insights and practical skills to take away from this course.
Siddharth Pathak

I found this course to be an excellent resource for refreshing my understanding of fundamental algorithms and data structures. The course content is comprehensive, covering topics ranging from sorting and searching algorithms to graph algorithms and…

I found this course to be an excellent resource for refreshing my understanding of fundamental algorithms and data structures. The course content is comprehensive, covering topics ranging from sorting and searching algorithms to graph algorithms and dynamic programming.The lectures are well-structured and easy to follow, with clear explanations and examples provided by the instructor. Additionally, the course includes practical exercises and assignments that helped reinforce the concepts learned in each module.One aspect that I particularly appreciated was the emphasis on real-world applications of the algorithms discussed. The instructor provided insights into how these algorithms are used in various industries and scenarios, which made the material more engaging and relevant.Overall, I highly recommend this course to anyone looking to gain a solid understanding of algorithms or to brush up on their existing knowledge. Whether you're a beginner or a seasoned programmer, you'll find valuable insights and practical skills to take away from this course.
Arun Babu

I had the privilege of taking MIT's Introduction to Algorithms course (6.006) Spring of 2020, and it was nothing short of an intellectually stimulating experience. This course, taught by some of the brightest minds in the field, delves into the fundamental principles that drive efficient algorithm design and analysis.

Course Structure:
The course structure is well-organized, with a clear progression from basic concepts to more advanced algorithmic techniques. The instructors seamlessly blend theoretical concepts with practical applications, making it accessible to both beginners and those with prior algorithmic knowledge. Each lecture builds on the previous ones, creating a cohesive and comprehensive learning experience.
LIYA MERIN JEGGY 23PMC136

MIT 6.006 delivers a comprehensive dive into algorithms, blending theory with practical applications. Lectures by Professors Demaine and Devadas are clear and engaging, covering topics like sorting, graph algorithms, and dynamic programming. Problem sets challenge students to apply concepts creatively, enhancing problem-solving skills. Recitations provide additional support, fostering a collaborative learning environment. The course equips students with fundamental algorithmic tools crucial in various fields. However, the workload can be intense, requiring dedication and time management. Overall, MIT 6.006 is an enriching experience for those passionate about algorithms and computer science.
BIMAL BABU

MIT's 6.006 Introduction to Algorithms, Spring 2020, delved into foundational concepts essential for designing efficient algorithms. Taught by Professors Erik Demaine and Srini Devadas, the course covered topics such as algorithmic analysis, dynamic programming, divide and conquer, and graph algorithms. Emphasizing problem-solving skills, the course equipped students with the tools to tackle complex computational challenges. Assignments and exams tested understanding and implementation. The course aimed to provide a solid algorithmic foundation for computer science students, encouraging critical thinking and effective algorithm design.
Ryan Scariah Zachariah

"Introduction to Algorithms" is a compelling and comprehensive course that adeptly delves into the intricate world of algorithm design and analysis. The content is presented in a clear and engaging manner, making complex concepts easily digestible f…

"Introduction to Algorithms" is a compelling and comprehensive course that adeptly delves into the intricate world of algorithm design and analysis. The content is presented in a clear and engaging manner, making complex concepts easily digestible for learners of all levels. The course covers a wide range of topics, from basic algorithms to advanced data structures, providing a solid foundation for understanding the fundamental principles of computer science. The instructors demonstrate a strong command of the subject matter, offering valuable insights and practical examples throughout the course. Additionally, the interactive exercises and assignments enhance the learning experience, allowing students to apply their newfound knowledge in real-world scenarios. Overall, "Introduction to Algorithms" is an invaluable resource for anyone looking to deepen their understanding of algorithms and improve their problem-solving skills in the field of computer science.
ROICY VINU

MIT's 6.006 Introduction to Algorithms was an outstanding educational journey that left a lasting impression on me. Despite the virtual setting, the course was expertly crafted to deliver an immersive learning experience. The video lectures were eng…

MIT's 6.006 Introduction to Algorithms was an outstanding educational journey that left a lasting impression on me. Despite the virtual setting, the course was expertly crafted to deliver an immersive learning experience. The video lectures were engaging and presented complex algorithms in a clear and understandable manner. Each session was thoughtfully structured, covering a wide range of topics essential for understanding algorithmic design.

One of the most impressive aspects of the course was its interactive nature, even in an online format. The practical insights gained from studying algorithms in contexts ranging from data analysis to network optimization were invaluable, providing a solid foundation for addressing complex computational challenges in various industries
NIBIN JOHN

MIT's online course, Introduction to Algorithms, Spring 2020, is a gem in the realm of digital education. With top-notch instructors and meticulously crafted curriculum, it offers an unparalleled learning experience. The course structure is intuitiv…

MIT's online course, Introduction to Algorithms, Spring 2020, is a gem in the realm of digital education. With top-notch instructors and meticulously crafted curriculum, it offers an unparalleled learning experience. The course structure is intuitive, with clear explanations and interactive elements that engage learners effectively. From novice to expert, it caters to diverse skill levels, ensuring everyone gains valuable insights. The inclusion of real-world case studies and practical exercises enhances its applicability. Furthermore, the seamless integration of multimedia resources enriches the learning journey. Whether pursuing personal growth or professional development, MIT's course sets the standard for online education, delivering excellence in every aspect.
EBIN E GILBERT 23PMC124

Professor Erik Demaine and his team deliver an engaging and comprehensive exploration of fundamental algorithmic principles. The lectures are brilliantly structured, breaking down intricate concepts into digestible segments, catering to both beginners and seasoned learners. The course combines theoretical rigor with practical applications, fostering a deep understanding of algorithm design and analysis. Assignments and exams challenge students to apply their knowledge creatively. The dynamic teaching style, coupled with challenging problem sets, makes it an intellectually stimulating journey. Overall, a must-take for anyone passionate about mastering algorithms. It was good and i'm able to understand basic algorithms.
MELBIN MANOJ

MIT's 6.006 Introduction to Algorithms, available via MIT OpenCourseWare, is a gem of computer science education. Professor Erik Demaine's dynamic teaching style, coupled with structured lectures and challenging problem sets, ensures a comprehensive understanding of fundamental concepts. Emphasizing algorithmic thinking, the course equips learners with problem-solving skills crucial for success. Its accessibility through MIT OCW makes it an invaluable resource for students and self-learners alike. In summary, 6.006 is a beacon in algorithmic education, offering an enriching learning journey that transcends boundaries.
Alvin V Shibu

In MIT's 6.006 Introduction to Algorithms, Spring 2020, students delve into essential algorithmic concepts through engaging lectures and challenging problem sets. Led by experienced instructors, the course covers topics ranging from algorithm analysis to data structures and graph algorithms, providing a solid foundation in computer science. With its rigorous yet rewarding approach, 6.006 is highly recommended for those seeking a comprehensive understanding of algorithms and their applications.
Amal P Anil

Overall, I highly recommend the MIT 6.006 Introduction to Algorithms course to anyone interested in algorithms and data structures. Whether you're a beginner or have some prior knowledge in the field, this course provides an excellent opportunity to deepen your understanding and enhance your skills. It's undoubtedly one of the best resources available for learning about algorithms, and I'm grateful for the opportunity to have taken it.
Diya Biji

MIT's 6.006 Introduction to Algorithms in Spring 2020 offers a rigorous exploration of core algorithmic principles. Through expert instruction and challenging problem sets, students delve into topics such as algorithm analysis, data structures, and graph algorithms. This course is essential for those seeking a deep understanding of computer science fundamentals and algorithm design.
Harsha V Tomy

Awesome course! Clear, practical, and beginner-friendly. Highly recommend for learning algorithms.
The course starts with simple stuff like sorting and searching and then gradually moves to more complicated things like dynamic programming and graph algorithms. The best part is that they explain everything in a way that's easy to understand, using examples that make sense.
JUSTIN M JOSEPH 23PMC132

This course was truly excellent. The content was well-structured and easy to follow. The instructor was knowledgeable. Overall, I found the course to be a highly valuable learning experience that has helped me to improve my skills and knowledge in this area. I would highly recommend this course to anyone looking to enhance their understanding of the subject matter.
SALU ANN GEORGE

Comprehensive course covering essential algorithmic concepts with engaging instruction and ample resources.The course content is well-structured, striking a good balance between depth and breadth, and includes both theoretical foundations and practical applications of algorithms.
Sona Pj

it's been a transformative experience. This course has completely reshaped my understanding of algorithms and their applications.The instructor's teaching style is engaging and accessible, making even the most complex concepts understandable.overall it was a good class.
Sneka A

Very Satisfied the overall experience of this course. The instructors are knowledgeable and engaging, making complex concepts easy to understand. The interactive quizzes and assignments provide valuable hands-on experience and reinforce learning.
ALVIN K SABU 23PMC105

This course is fantastic! The lectures are clear, the problem sets are challenging yet rewarding, and the resources are top-notch. Highly recommended for anyone interested in algorithms and computer science.
FIRST YEAR BOOKS

Helpful from basic to advance !! All lectures are in good audio and video quality , enjoyed the classes , really happy