Genetic Algorithms Courses

Coding Train

Genetic Algorithms - The Nature of Code

Explore evolutionary computing principles through hands-on genetic algorithm implementation, from basic concepts to advanced applications like smart rockets and traveling salesperson problems.

• YouTube
• 6 hours 12 minutes
• Self-Paced
• Free Video

Coding Train

Genetic Algorithms - Intelligence and Learning - Session 2

Explore genetic algorithms through hands-on coding challenges, from Shakespeare monkey examples to traveling salesperson problems and evolutionary steering behaviors.

• YouTube
• 5 hours 52 minutes
• Self-Paced
• Free Video

Introduction to Java Programming: Fundamental Data Structures and Algorithms

51 ratings

Learn to enhance your code by using fundamental data structures and powerful algorithms in Java.

• edX
• 5 weeks, 5-7 hours a week
• Self-Paced
• Free Online Course (Audit)

Introduction to Algorithms

26 ratings

Model computational problems and solve them with data structures, hashing, sorting, binary trees and heaps, graph search, dynamic programming, and asymptotic complexity analysis.

• MIT OpenCourseWare
• 35 hours
• Self-Paced
• Free Video

Data Structures & Algorithms I: ArrayLists, LinkedLists, Stacks and Queues

29 ratings

Work with the principles of data storage in Arrays, ArrayLists & LinkedList nodes. Understand their operations and performance with visualizations. Implement low-level linear, linked data structur

• edX
• 5 weeks, 9-10 hours a week
• Self-Paced
• Free Online Course (Audit)

Algorithms, Part II

21 ratings

Implement graph- and string-processing algorithms in Java: BFS/DFS, minimum spanning trees, shortest paths, maxflow-mincut, radix sorts, tries, substring search, data compression, and NP-completeness.

• Coursera
• 14 weeks, 4 hours a week
• Self-Paced
• Free Online Course

Algorithms for DNA Sequencing

17 ratings

Implement algorithms and data structures in Python to analyze real DNA sequencing data: exact and approximate matching with Boyer-Moore, edit distance, read alignment, and genome assembly.

• Coursera
• 4 weeks, 3 hours a week
• Self-Paced
• Paid Course

Greedy Algorithms, Minimum Spanning Trees, and Dynamic Programming

1278 ratings at Coursera

The primary topics in this part of the specialization are: greedy algorithms (scheduling, minimum spanning trees, clustering, Huffman codes) and dynamic programming (knapsack, sequence alignment, optimal search trees).

• Coursera
• 4 weeks, 4 hours a week
• Self-Paced
• Paid Course

Career Certificate

Algorithms

5997 ratings at Coursera

Master core algorithms: divide and conquer, sorting and searching, randomized algorithms, graph search and shortest paths, data structures, greedy methods, dynamic programming, and NP-complete problems.

• Coursera
• 4 weeks, 10 hours a week
• Self-Paced
• Paid Course
• 4 courses

Introduction to Graduate Algorithms

1 rating

Learn advanced techniques for designing algorithms and apply them to hard computational problems.

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

Computability, Complexity & Algorithms

1 rating

Learn tools and techniques that will help you recognize when problems you encounter are intractable and when there an efficient solution.

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

Tech Ethics: Critical Thinking in the Age of Apps, Algorithms, and AI

Taught by Harvard Professor Michael Sandel with insights from actor Michael B. Jordan.

• edX
• 1 week, 2-3 hours a week
• Self-Paced
• Free Online Course (Audit)

Genetic Factors in Breast Cancer Screening and Imaging

2 ratings

How genetic factors shape breast cancer screening and imaging.

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

Algorithms: Design and Analysis, Part 1

13 ratings at edX

Welcome to the self paced course, Algorithms: Design and Analysis! Algorithms are the heart of computer science, and the subject has countless practical applications as well as intellectual depth. Thi

• edX
• 6 weeks, 2-4 hours a week
• Self-Paced
• Free Online Course (Audit)

Algorithms: Design and Analysis, Part 2

Welcome to the self paced course, Algorithms: Design and Analysis, Part 2! Algorithms are the heart of computer science, and the subject has countless practical applications as well as intellectual de

• edX
• 6 weeks, 2-4 hours a week
• Self-Paced
• Free Online Course (Audit)