
Course6.046J / 18.410J34 lectures39 h 28 min
Design and Analysis of Algorithms
Prof. Erik Demaine, Prof. Srini Devadas and Prof. Nancy Lynch · Massachusetts Institute of Technology
About
This is an intermediate algorithms course with an emphasis on teaching techniques for the design and analysis of efficient algorithms, emphasizing methods of application. Topics include divide-and-conquer, randomization, dynamic programming, greedy algorithms, incremental improvement, complexity, and cryptography.
Lectures
Lecture Videos
- Lecture 1: Overview, Interval Scheduling
- Lecture 2: Divide & Conquer: Convex Hull, Median Finding
- Lecture 3: Divide & Conquer: FFT
- Lecture 4: Divide & Conquer: van Emde Boas Trees
- Lecture 5: Amortization: Amortized Analysis
- Lecture 6: Randomization: Matrix Multiply, Quicksort
- Lecture 7: Randomization: Skip Lists
- Lecture 8: Randomization: Universal & Perfect Hashing
- Lecture 9: Augmentation: Range Trees
- Lecture 10: Dynamic Programming: Advanced DP
- Lecture 11: Dynamic Programming: All-Pairs Shortest Paths
- Lecture 12: Greedy Algorithms: Minimum Spanning Tree
- Lecture 13: Incremental Improvement: Max Flow, Min Cut
- Lecture 14: Incremental Improvement: Matching
- Lecture 15: Linear Programming: LP, reductions, Simplex
- Lecture 16: Complexity: P, NP, NP-completeness, Reductions
- Lecture 17: Complexity: Approximation Algorithms
- Lecture 18: Complexity: Fixed-Parameter Algorithms
- Lecture 19: Synchronous Distributed Algorithms: Symmetry-Breaking. Shortest-Paths Spanning Trees
- Lecture 20: Asynchronous Distributed Algorithms: Shortest-Paths Spanning Trees
- Lecture 21: Cryptography: Hash Functions
- Lecture 22: Cryptography: Encryption
- Lecture 23: Cache-Oblivious Algorithms: Medians & Matrices
- Lecture 24: Cache-Oblivious Algorithms: Searching & Sorting
Recitation Videos
- Recitation 1: Divide & Conquer: Smarter Interval Scheduling, Master Theorem, Strassen's Algorithm
- Recitation 2: B-trees
- Recitation 4: Randomization: Randomized Median
- Recitation 5: Dynamic Programming: More Examples
- Recitation 6: Greedy Algorithms: More Examples
- Recitation 7: Incremental Improvement: Applications of Network Flow & Matching
- Recitation 8: Complexity: More Reductions
- Recitation 9: Complexity: Approximations
- Recitation 10: More Distributed Algorithms
- Recitation 11: Cryptography: More Primitives
Syllabus and materials
At MIT OpenCourseWare, as the course publishes them.
Credits and licence
- Institution
- Massachusetts Institute of Technology
- Department
- Electrical Engineering and Computer Science; Mathematics
- Taught by
- Prof. Erik Demaine, Prof. Srini Devadas, Prof. Nancy Lynch
- Term
- Spring 2015
- Level
- Undergraduate
- Language
- English
- Subjects
- Mathematics, Computer science, Engineering
- Source
- MIT OpenCourseWare
- Licence
- CC BY-NC-SA 4.0, as MIT OpenCourseWare states it. Non-commercial use only. MIT OpenCourseWare's terms
- Attribution
- Prof. Erik Demaine, Prof. Srini Devadas, Prof. Nancy Lynch. Design and Analysis of Algorithms. Spring 2015. Massachusetts Institute of Technology: MIT OpenCourseWare, https://ocw.mit.edu/. License: Creative Commons BY-NC-SA.
- Who can watch
- MIT OpenCourseWare gives no rating. Invisible Network shows it to Tweens profiles and older, judged from what the source says about it. How courses are placed
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