Rahjeh Hanna Mansour
EXCELLENT
Algorithmic Implementation Course
(163 reviews)
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27 Lessons
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14 Students
- Certificate of completion
Algorithmic Implementation course in hindi, in this course covers practical aspects of turning algorithms into functional code, emphasizing efficient execution techniques.
To Register in Course you have to watch at least 30 Second of any lesson
What You'll Learn
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Master how to translate algorithms into efficient, functional code using practical implementation techniques and optimization strategies
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Apply coding best practices to develop reliable, maintainable algorithms in various programming languages
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Analyze algorithm performance and identify bottlenecks to enhance execution speed and resource utilization
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Implement data structures effectively to optimize algorithm efficiency and problem-solving capabilities
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Utilize debugging and testing methods to ensure correctness and robustness of algorithmic solutions
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Integrate algorithms into real-world applications, improving system performance and user experience
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Optimize algorithms for scalability and efficiency in large-scale data processing environments
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Leverage algorithmic design principles to solve complex computational problems practically and effectively
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Develop skills to adapt algorithms for different programming languages and technological platforms
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Enhance problem-solving skills by translating theoretical algorithms into practical, real-world code
Course Content
27 Lessons • 23 h 24 m total
Evolutionary Computation for Single and Multi Objective Optimization Intro Video
Lec 1 Introduction to Optimization
Lec 2 Introduction to Evolutionary Computation
Lec 3 Binary Coded Genetic Algorithm BGA
Lec 4 Operators and Simulations of Binary Coded Genetic Algorithm
Lec 5 Real Coded Genetic Algorithm RGA
Lec 6 Operators and Simulations of Real Coded Genetic Algorithm
Lec 7 Algorithmic Implementation of BGA and RGA
Lec 8 Particle Swarm Optimization PSO
Lec 9 Simulations and Algorithmic Implementation of Particle Swarm Optimization
Lec 10 Differential Evolution DE
Lec 11 Simulations and Algorithmic Implementation of Differential Evolution
Lec 12 Constrained Optimization Introduction and Optimality
Lec 13 Penalty Function Methods for Evolutionary Computing Techniques
Lec 14 Evolutionary Computing Techniques Separation of Objective Function and Constraints
Lec 15 Simulations of Constraint Handling Techniques
Lec 16 Simulations of Constraint Handling Techniques Part 2
Lec 17 Introduction to Multi Objective Optimization Part 1
Lec 18 Introduction to Multi Objective Optimization Part 2
Lec 19 Multi Objective Optimization Ranking and Diversity
Lec 20 Classical Multi Objective Optimization Methods
Lec 21 Non Dominated Genetic Algorithm NSGA II Introduction
Lec 22 Non Dominated Genetic Algorithm NSGA II Simulations
Lec 23 Strength Pareto Evolutionary Algorithm SPEA2 Introduction
Lec 24 Strength Pareto Evolutionary Algorithm SPEA2 Simulations
Lec 25 Performance Assessment of Multi Objective EC Techniques
Lec 26 Closure of EC for Single and Multi Objective Optimization
How to Get The Certificate
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You must have an
Account
on the platform.
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Complete all lessons.
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Watch at least 50% of Lesson Duration.
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Get your Certificate free 🎉 !
4.8
(163 reviews)
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Himanshu Kumar
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Algorithmic Implementation Course Description
Algorithmic Implementation course in hindi, in this course covers practical aspects of turning algorithms into functional code, emphasizing efficient execution techniques.
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