Asymptotic Analysis Courses and Certifications

Erwin Schrödinger International Institute for Mathematics and Physics (ESI)

Asymptotic Analysis of an Integro-Differential Model from Quantitative Genetics

Explore asymptotic analysis of integro-differential equations modeling sexual reproduction, selection, and competition in evolutionary dynamics using spectral methods.

• YouTube
• 42 minutes
• On-Demand
• Free Video

Analytic Combinatorics

72 ratings at Coursera

Explore precise quantitative predictions of large combinatorial structures through symbolic methods, generating functions, and complex analysis for deriving accurate asymptotics.

• Coursera
• 17 hours
• On-Demand
• Paid Course

Capstone: Analyzing (Social) Network Data

100 ratings at Coursera

Analyze social networks to uncover influential members, sub-communities, and connections. Apply graph algorithms and data structures to explore real-world network data and showcase findings through a video presentation.

• Coursera
• 19 hours 49 minutes
• On-Demand
• Paid Course

Simple Snippets

Big Oh vs Big Omega vs Big Theta Notations - Asymptotic Analysis of Algorithms with Example

Explore Big O, Omega, and Theta notations for algorithm analysis. Learn their mathematical definitions, practical applications, and differences in measuring best, worst, and average-case time complexities.

• YouTube
• 29 minutes
• On-Demand
• Free Video

Birla Institute Of Technology And Science–Pilani (BITS–Pilani)

Data Structures and Algorithms

Master essential data structures like arrays, trees, and graphs, plus key algorithms including sorting, searching, and graph traversals for efficient problem-solving.

• Coursera
• 3 days 6 hours 46 minutes
• On-Demand
• Paid Course

Birla Institute Of Technology And Science–Pilani (BITS–Pilani)

Algorithm Design: Mastering Computational Problem Solving

Master algorithmic design paradigms including divide-and-conquer, dynamic programming, graph algorithms, and complexity theory to solve computational challenges efficiently.

• Coursera
• 1 day 8 hours 54 minutes
• On-Demand
• Paid Course

Mathematics for Computer Science

Master discrete mathematics fundamentals for computer science including logic, graph theory, algorithms, cryptography, and probability with MIT's comprehensive approach.

• MIT OpenCourseWare
• On-Demand
• Free Online Course

Centre International de Rencontres Mathématiques

Homogenization of Stokes-Brinkman Type Models and Mean Field Limit - Lecture 1

Delve into the mathematical theory of fluid-kinetic models for suspensions, focusing on homogenization of Stokes-Brinkman equations and mean field limits in particle-fluid interactions.

• YouTube
• 1 hour 18 minutes
• On-Demand
• Free Video

Neso Academy

Data Structures - Complete Course with Algorithms and Implementation

Master efficient data organization with comprehensive coverage of arrays, linked lists, stacks, queues, trees, and asymptotic analysis for competitive exams and interviews.

• YouTube
• 18 hours 55 minutes
• On-Demand
• Free Video

Back To Back SWE

Time and Space Complexity

Master asymptotic analysis with Big O, Omega, and Theta notations to evaluate algorithm efficiency and understand logarithmic time complexities in computer science.

• YouTube
• 1 hour 4 minutes
• On-Demand
• Free Video

Back To Back SWE

Graphs, Greedy Algorithms, and Other Computer Science Fundamentals

Master graph algorithms, asymptotic analysis, and greedy techniques through hands-on problem solving and algorithmic fundamentals.

• YouTube
• 2 hours 50 minutes
• On-Demand
• Free Video

Hausdorff Center for Mathematics

Non Asymptotic Analysis of L1 Support Vector Machines

Explores non-asymptotic analysis of l1 support vector machines for sparse classification in high-dimensional data, providing error guarantees applicable to real-world scenarios.

• YouTube
• 48 minutes
• On-Demand
• Free Video

Paul G. Allen School

Non-Asymptotic Analysis of a Classical System Identification Algorithm - 2019 ADSI Summer Workshop

Explore non-asymptotic analysis of classical system identification with Necmiye Ozay, delving into advanced algorithmic foundations for learning and control in this insightful conference presentation.

• YouTube
• 43 minutes
• On-Demand
• Free Video

QuICS

Non-Asymptotic Running-Time Analysis of Quantum Convex Optimization Algorithms

Explore non-asymptotic analysis of quantum convex optimization algorithms, focusing on SDP relaxations for QUBO problems and realistic performance estimates.

• YouTube
• 1 hour 1 minute
• On-Demand
• Free Video

Why Algorithms Work - Algorithm Analysis Deep Dive Course

Dive into university-level algorithm analysis covering complexity, sorting, data structures, and mathematical tools to understand why algorithms work, not just how they function.

• freeCodeCamp
• 6 hours 23 minutes
• On-Demand
• Free Video