Genetic Algorithms Courses

Career Certificate

Foundations of Data Structures and Algorithms

1 rating

Explore fundamental data structures and algorithms for efficient data processing, focusing on sorting, searching, indexing, trees, and graphs. Ideal for programmers interested in handling large datasets.

• Coursera
• 13 weeks, 9 hours a week
• Self-Paced
• Paid Course
• 3 courses

Algorithms for Searching, Sorting, and Indexing

541 ratings at Coursera

This course covers basics of algorithm design and analysis, as well as algorithms for sorting arrays, data structures such as priority queues, hash functions, and applications such as Bloom filters.

• Coursera
• 1 day 11 hours 8 minutes
• Self-Paced
• Paid Course

Approximation Algorithms and Linear Programming

61 ratings at Coursera

Explore linear and integer programming for optimal solutions in resource allocation, scheduling, and task assignment. Learn approximation algorithms for NP-hard problems with guaranteed performance bounds.

• Coursera
• 1 day 22 hours 18 minutes
• Self-Paced
• Paid Course

Advanced Data Structures, RSA and Quantum Algorithms

66 ratings at Coursera

Explore number-theory cryptography, quantum algorithms, and advanced data structures. Learn RSA, Grover's search, Shor's algorithm, B-Trees, and Tries for practical applications in computer science.

• Coursera
• 1 day 20 hours 46 minutes
• Self-Paced
• Paid Course

Dynamic Programming, Greedy Algorithms

267 ratings at Coursera

Explore algorithm design techniques like divide-and-conquer, dynamic programming, and greedy algorithms. Learn about intractability and optimization problem-solving using linear/integer programming solvers.

• Coursera
• 1 day 14 hours 15 minutes
• Self-Paced
• Paid Course

École normale supérieure

Statistical Mechanics: Algorithms and Computations

269 ratings at Coursera

Explore modern physics through computer programs, gaining deep insights into classical and quantum mechanics via algorithmic approaches and hands-on coding exercises.

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

Digital Signal Processing 1: Basic Concepts and Algorithms

648 ratings at Coursera

Digital Signal Processing is the branch of engineering that, in the space of just a few decades, has enabled unprecedented levels of interpersonal communication and of on-demand entertainment.

• Coursera
• 1 day 4 hours 44 minutes
• Self-Paced
• Paid Course

算法设计与分析 Design and Analysis of Algorithms

53 ratings at Coursera

学习算法设计与分析的基础知识和通用技术,培养解决实际问题的能力。涵盖分治、动态规划、贪心等策略,通过典型案例讲解算法设计、分析和优化方法。

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

Genetic Underpinnings of Synaptic Disease

Explore the genetic underpinnings of synaptic disease, from Fragile X syndrome to addiction, examining gene mutations, neural circuits, and smoking cessation therapies.

• Coursera
• 5 hours 18 minutes
• Self-Paced
• Paid Course

Discrete Math for Computer Science - Algorithms & Recursion

Master number theory, cryptography, and recursive algorithms while analyzing efficiency through mathematical induction and asymptotic notation.

• Coursera
• 13 hours 44 minutes
• Self-Paced
• Paid Course

Career Certificate

Engineering Genetic Circuits

38 ratings at Coursera

Explore synthetic biology through modeling, analysis, and design of genetic circuits. Learn biological and engineering principles for collaborations in this emerging field.

• Coursera
• 8 weeks, 10 hours/week
• Self-Paced
• Paid Course
• 3 courses

Engineering Genetic Circuits: Design

38 ratings at Coursera

Explore genetic circuit design, from basic biology to advanced techniques. Learn about genetic parts, devices, construction methods, and design principles for engineering biological systems.

• Coursera
• 19 hours 50 minutes
• Self-Paced
• Paid Course

Engineering Genetic Circuits: Abstraction Methods

Learn techniques for simplifying and analyzing genetic circuit models, including reaction-based abstraction, piecewise approximations, Markov chains, state-based abstraction, and stochastic model checking.

• Coursera
• 17 hours 49 minutes
• Self-Paced
• Paid Course

Engineering Genetic Circuits: Modeling and Analysis

Learn to model, simulate, and analyze genetic circuits using SBML, ODEs, and stochastic methods. Explore advanced algorithms and apply computational analysis for optimal genetic circuit design.

• Coursera
• 1 day 52 minutes
• Self-Paced
• Paid Course

Intelligent Agents and Search Algorithms

Explore intelligent agent architectures and master search algorithms including A*, minimax, and heuristic optimization for AI problem-solving and decision-making systems.

• Coursera
• 12 hours 17 minutes
• Self-Paced
• Paid Course