SRM INSTITUTE OF SCIENCE AND TECHNOLOGY

RAMAPURAM CAMPUS

COLLEGE OF SCIENCE AND HUMANITIES

 DEPARTMENT OF COMPUTER SCIENCE AND APPLICATIONS

 

Two Weeks Online International FDP

A Era of Change : Recent Advancements of Machine Learning in terms of AI & IoT.

 

DATE: 12.7.2021 to 25.07.2021

 The Department of Computer Science & Applications is organizing a Two Weeks Online International Faculty Development Program

 

 

 DAY#2 -13.07.2021

Prof.D. Nagesh Kumar, Prof. Satish Dhawan Chair Professor, Department of Civil Engineering, IISC, BANGALORE

 

Total Number of Participants: 250

 

WELCOME ADDRESS DR.J.DHILIPAN HOD-MCA AND VICE PRINCIPAL-ADMIN

 

🔮Dr.J.DHILIPAN VICE PRINCIPAL ADMIN and HOD MCA presented the welcome address. During his address he welcomed the chief guest of today’s function and expressed his gratitude for accepting our invitation

🔮He concluded his address by stating that the topic chosen today will help the faculty members and research Scholars to carry out their research

 

🚨Mrs.J.SHOBANA, Assistant Professor/MCA read the chief guest profile and introduced the guest to the audience

 

DAY #2- TECHNICAL SESSION:

Prof D. Nagesh Kumar, Prof. Satish Dhawan Chair Professor, Department of Civil Engineering, IISC, BANGALORE

 

🛗Shri. Nagesh Kumar started the session with an explanation of Genetic algorithms

💠A genetic algorithm is a search-based algorithm used for solving optimization problems in machine learning. This algorithm is important because it solves difficult problems that would take a long time to solve

 

🛗What are Optimization methods? Then explained

Cambinotarial problems and

Continous problems

 

💠Combinatorial problems involve finding a grouping, ordering, or assignment of a discrete, finite set of objects that satisfies given conditions

🛗He then discussed about mechanisms of evolutionary change

🛗His discussion continued with

🥌Cross over- In genetic algorithms and evolutionary computation, crossover, also called recombination, is a genetic operator used to combine the genetic information

🥌mutation

🥌Natural selection

 

🛗He then discussed about various aspects of Genetic approach

🎛️population

🎛️selection

🎛️fitness functions

🎛️encoding schemes

🛗He then explained about the following topics

🌐working principles of Genetic algorithms

🌐fitness evaluation

🌐Genetic operations

🌐coding

🌐termination

🌐initialization

🌐seeding the population

🛗He continued address by explaining about the following topics in detail

🥏fitness evaluation with example

🥏selection techniques

🥏proportional fitness selection with examples

🥏cross over with example

🥏single point cross over

 

🔖He concluded his address by explaining about

🥏Genetic algorithms summary

🥏Pseudocode

🥏Genetic algorithms examples

🥏procedure and binary coding

🥏GA operation steps

🥏Sample case study

 

🌹Then the entire session was opened to the audience for clarification of their doubts and interaction. The entire session was much useful for all the participants

 

🌹Mr.D.Rajkumar, Assistant Professor/MCA presented the vote of thanks for the day 2 technical session