Genetic Algorithms Courses

Design and Analysis of Algorithms

7 ratings

Comprehensive exploration of algorithm design and analysis, covering complexity, sorting, data structures, and optimization techniques for efficient problem-solving.

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

How Selection Changes the Genetic Composition of Population - Principles of Evolution, Ecology and Behavior

Explore genetic systems, their impact on evolution, and how selection alters population genetics. Learn about adaptive genetic change rates and the math behind genetic shifts in populations.

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

The Origin and Maintenance of Genetic Variation - Lecture 6

Explore genetic diversity's origins through mutations, selection, and recombination. Discover how population size impacts evolution and genetic variation maintenance in different scenarios.

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

Neutral Evolution - Genetic Drift and Molecular Clocks

Explore genetic drift and neutral evolution, understanding how random changes in genes can impact species over time without affecting reproductive success.

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

Genetic Engineering: DNA Technology and Gene Expression Control - Lecture 4

Explore advanced DNA technologies: RNA silencing, molecular cloning, PCR, and mutation detection. Learn about controlling gene expression and applications in genetic engineering and biomedical research.

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

Operations Research (2): Optimization Algorithms

160 ratings at Coursera

Explore optimization algorithms for linear, integer, and nonlinear programs. Learn efficient methods like simplex, branch-and-bound, gradient descent, and Newton's method. Apply concepts to real-world business cases.

• Coursera
• 12 hours
• Self-Paced
• Paid Course

Trading Algorithms

1099 ratings at Coursera

Learn to implement trading strategies based on F-Score and post-earnings announcement drift, with a focus on emerging markets and academic research interpretation.

• Coursera
• 12 hours 27 minutes
• Self-Paced
• Paid Course

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

Data Structures and Algorithms (I)

34 ratings at Coursera

通过学习本课程，你将掌握向量和列表，评估数据结构和算法的复杂度，分析算法的空间/时间复杂度，理解和实现基本排序和搜索算法，并解决实际问题。

• Coursera
• 1 day 1 hour 38 minutes
• Self-Paced
• Paid Course

Data Structures and Algorithms (II)

全面掌握栈、队列、二叉树、图和BST的结构、算法及应用。学习实现这些数据结构，并运用于解决实际问题，如霍夫曼编码、图遍历和AVL树。

• Coursera
• 1 day 12 hours 54 minutes
• Self-Paced
• Paid Course

Data Structures and Algorithms (III)

全面掌握散列和平衡二叉搜索树技术，学习设计哈希表、实现Splay树、红黑树和B树，并应用于范围查询等实际问题解决。

• Coursera
• 1 day 2 hours 47 minutes
• Self-Paced
• Paid Course

Data Structures and Algorithms (IV)

全面掌握优先级队列、字符串匹配和高级排序算法，包括桶排序、堆排序、KMP等。学习实现和分析这些数据结构和算法，提升编程和问题解决能力。

• Coursera
• 1 day 1 hour 18 minutes
• Self-Paced
• Paid Course

Credential

Data Structures and Algorithms

Explore fundamental to advanced data structures and algorithms, enhancing skills in design, implementation, and performance analysis for efficient problem-solving in computer science.

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

Mind of the Universe - Genetic Privacy: should we be concerned?

16 ratings at Coursera

Explore ethical implications of genetic data disclosure, considering privacy, ownership, and responsibility. Examine diverse perspectives and cultural tensions to formulate recommendations for regulating genetic information practices.

• Coursera
• 13 hours 35 minutes
• Self-Paced
• Paid Course