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
