Faculty Development Program 2020

AICTE SponsoredTwo Weeks
Faculty Development Program on
Soft Computing and Data Science (SCDS 2020)
26th February to 07th March 2020
Organized by
Dept. of Computer Science and Information Technology
Dept. of Computer Science & Engineering
Bidyanagar, Mahura, Janla
About The Program

Data science, also known as data-driven science, is an interdisciplinary field about scientific methods, processes and systems to extract knowledge or insights from data in various forms, either structured or unstructured similar to data mining. Data science is a multidisciplinary blend of data inference, algorithm development and technology in order to solve analytically complex problems. It employs techniques and theories drawn from many fields within the broad are of mathematics, statistics, information science and computer science in particular from the sub-domains of machine learning, soft computing techniques, pattern recognition, data mining, databases and visualization.

Soft computing, as opposed to traditional computing, deals with approximate models and gives solution to complex real life problems. It refers to the science of reasoning, thinking and deduction that uses various bio-inspired way of identifying, prediction and classification of quantities under study. Soft computing is a modern approach premised on the idea of the approximation, uncertainty, and flexibility similar to real world scenarios. Soft computing is based on techniques derived from analogy to natural phenomena such as human learning, reasoning, theory of evolution, and environmental behaviour of birds and insects. It encompasses identification, classification, prediction, and decision making techniques such as Artificial Neural Network, Fuzzy Decision making, Genetic algorithm and different types of Particle Swarm Optimization.

This FDP is being organized to provide a forum for discussion on theoretical and practical aspects of various machine learning and soft computing techniques in data science. Various applications and research areas involving soft computing and machine learning techniques will be discussed. Hands on exercises on Python and MATLAB will be included.

Link to the brochure :Click Here for view the Brochure

Course Contents

The course will cover topics such as:

  • Overview of Data Science & AI
  • Regression, SVM,
  • Dimensionality Issues, PCA
  • Clustering Methods
  • Naive Bayes Technique
  • Decision Tree, Random Forest
  • ANN, Perceptron, MLP, BPN
  • Issues and Challenges for Deep Learning,
  • CNN, Auto Encoders
  • Computer Vision
  • Bio-Medical Applications
  • Industry Applications
  • Demo & Hands on with Python / MATLAB

    Resource Persons
    Lectures will be delivered by eminent faculty members from IITs, NITs and other renowned universities. Experts from Industries will deliver lectures and demonstration of use cases. Hands on practical sessions are included.

    Eligibility and Selection
    This FDP is open to faculty members, industry employees and researchers. Participants from AICTE approved engineering and polytechnic colleges can join with no registration fee, to be selected based on first come first serve basis Accommodation to out station participants will be provided on request. Participants from other than AICTE approved engineering and polytechnic colleges need to register with an amount of Rs.1500/- to be paid at the registration desk.

    Participants are required to register online using the following link:

    Important Dates
    Last Date of Registration: 24 Feb 2020

    Contact Details
    Email: scdsfdp2020@gmail.com

    Dr.MadhusmitaSahu (Convenor)
    Mobile: 9861131244

    Dr. Ashok Patel (Co-Convenor)
    Mobile: 9770890583