Algorithm Analysis Courses and Certifications

Design of Computer Programs

14 ratings

Learn how to model problems, and how to optimize performance by using some of the advanced features of Python.

• Udacity
• 30 hours
• Self-Paced
• Free Online Course

CodeHelp - by Babbar

Time and Space Complexity of Recursive Algorithms - C++ Placement Course

Comprehensive guide to analyzing time and space complexities of recursive algorithms in C++, with practical examples and homework assignments for reinforced learning.

• YouTube
• 49 minutes
• Self-Paced
• Free Video

International Centre for Theoretical Sciences

Perturbation Methods for Nonlinear PDEs - Lecture 1

Explore perturbation methods for nonlinear PDEs, focusing on adapting linear equation techniques. Learn unified approaches through examples from cold atoms, water waves, and atmospheric science.

• YouTube
• 1 hour 36 minutes
• Self-Paced
• Free Video

Data Structures and Performance

6 ratings

Explore data structures and algorithms for efficient handling of large datasets. Learn asymptotic analysis, linked lists, trees, and hashtables to improve program performance and flexibility.

• Coursera
• 1 day 17 hours 34 minutes
• Self-Paced
• Paid Course

Career Certificate

Learn Data Structures and Algorithms in Python

1477 ratings at Boot.dev

Master Python algorithms and Big-O complexity while building skills to write performant code, tackle technical interviews, and understand fundamental computer science concepts.

• Boot.dev
• 32 hours
• Self-Paced
• Paid Course

NPTEL;  Chennai Mathematical Institute

Design and Analysis of Algorithms

10 ratings

Learn algorithm design and analysis, covering sorting, graphs, dynamic programming, and complexity theory. Gain practical skills in efficient problem-solving and algorithm implementation.

• YouTube
• 15 hours
• Self-Paced
• Free Video

ICTP Mathematics

Lectures on Standard and Less Standard Asymptotic Methods - Lecture 1

Explore advanced asymptotic methods for evaluating infinite sums and recognizing sequence patterns. Learn techniques from standard to unconventional, with practical examples and high-precision computations.

• YouTube
• 1 hour 29 minutes
• Self-Paced
• Free Video

Simons Institute

Beyond Worst-Case Analysis - Panel Discussion

Experts discuss advanced algorithmic analysis, exploring beyond worst-case scenarios to improve efficiency and understanding in computer science and machine learning applications.

• YouTube
• 1 hour 10 minutes
• Self-Paced
• Free Video

Ryan O'Donnell

Big O and Friends - Lecture 2a of CS Theory Toolkit

Explore asymptotic notation in theoretical computer science, covering Big O, Omega, and related concepts. Essential for understanding algorithm efficiency and complexity analysis.

• YouTube
• 28 minutes
• Self-Paced
• Free Video

Ryan O'Donnell

Great Ideas in Theoretical Computer Science: Time Complexity - Spring 2016

Explore time complexity in theoretical computer science, covering running time, worst-case scenarios, and common runtime scaling, with practical examples and formal definitions.

• YouTube
• 1 hour 17 minutes
• Self-Paced
• Free Video

International Centre for Theoretical Sciences

Perturbation Methods for Nonlinear PDEs - Lecture 3

Explore advanced perturbation techniques for nonlinear PDEs, focusing on multiple scales, asymptotic analysis, and the interplay between linear waves and nonlinearity in various scientific contexts.

• YouTube
• 1 hour 49 minutes
• Self-Paced
• Free Video

International Centre for Theoretical Sciences

Perturbation Methods for Nonlinear PDEs - Lecture 4

Explore perturbation methods for nonlinear PDEs, focusing on shallow water waves and damped KDV models. Learn unified approaches to adapt linear equation techniques to nonlinear contexts.

• YouTube
• 1 hour 35 minutes
• Self-Paced
• Free Video

International Centre for Theoretical Sciences

Perturbation Methods for Nonlinear PDEs - Lecture 2

Explore perturbation methods for nonlinear PDEs, focusing on nonlinear oscillators and periodic solutions. Learn techniques like inner products, perturbation series, and 2Pi periodicity to tackle complex equations.

• YouTube
• 1 hour 31 minutes
• Self-Paced
• Free Video

Neso Academy

Space Complexity of Recursive Algorithms - nth Fibonacci Number

Analyze space complexity of recursive algorithms using the nth Fibonacci number as an example. Explore the Fibonacci sequence and its implementation.

• YouTube
• 15 minutes
• Self-Paced
• Free Video

Neso Academy

Space Complexity of Recursive Algorithms - Problem 4

Master the calculation of space complexity in recursive algorithms through a detailed solved example demonstrating key analytical techniques and practical applications.

• YouTube
• 10 minutes
• Self-Paced
• Free Video