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| Content Provider | Swayam Plus |
|---|---|
| Description | The course covers the introduction, history, and principles of Genetic Algorithms, followed by working examples, encoding and selection methods, crossover and mutation techniques, and concludes with coding and real-world applications. |
| Language | English |
| Access Restriction | Open |
| Subject Keyword | 6. Understanding real-world applications where Genetic Algorithms can be effectively utilized. 2. Mastery of Genetic Algorithm terminologies and operators. 4. Competence in writing Python code for Genetic Algorithm implementation. 5. Skill in applying Genetic Algorithms to solve optimization problems. 1. Proficiency in understanding Evolutionary Computation principles. 3. Ability to implement advanced operators and techniques in Genetic Algorithms. Genetic Algorithms, Evolutionary Computation, Optimization Techniques, Python Programming, Genetic Programming, Evolutionary Optimization, Problem Solving, Search Algorithms, Optimization Problems, Applied Genetic Algorithms |
| Coordinator | Swayam Plus |
| Duration | -1 |
| Unique Identifier | f_srmist_01 |
| Instructor | Dr. K Deeba |
| Description URL | https://moocsplus.srmist.edu.in/registration.html?course_id=7844 |
| Mode | Regular (Online) |
| Perks | 4. Acquire practical skills by implementing Genetic Algorithms through simple Python code. 5. Discover real-world applications where Genetic Algorithms offer effective solutions. 1. Explore the principles of Evolutionary Computation and delve into Genetic Algorithms. 3. Advance understanding through the exploration of sophisticated operators and techniques within Genetic Algorithms. 2. Familiarize with the key terminologies and operators essential for Genetic Algorithm operation. |
| Certification Type | Certification with Credit |
| Offered by | SRM Institute of Science and Technology |
| Posted on | 2025-01-27 |
| Resource Type | Industrial Course |
| Aligned Industrires | AI Research Scientist Operations Research Analyst Optimization Specialist |
| Subject Category | Engineering (Higher Education) |
| Type | Elective |
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| Sl. | Authority | Responsibilities | Communication Details |
|---|---|---|---|
| 1 | Ministry of Education (GoI), Department of Higher Education |
Sanctioning Authority | https://www.education.gov.in/ict-initiatives |
| 2 | Indian Institute of Technology Kharagpur | Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project | https://www.iitkgp.ac.in |
| 3 | National Digital Library of India Office, Indian Institute of Technology Kharagpur | The administrative and infrastructural headquarters of the project | Dr. B. Sutradhar bsutra@ndl.gov.in |
| 4 | Project PI / Joint PI | Principal Investigator and Joint Principal Investigators of the project |
Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon |
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| 9 | IDR Setup or Support | Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops | idr@ndl.gov.in |
