SCHEDULE

Schedule for Short Term course on “Pattern Recognition and Its Applications” Sponsored by QIP, AICTE
The short term course on pattern recognition and its applications will start October 12-16, 2017. The tentative schedule for the above said course is as followings:

Lecture-No.

Day and time

Topics to be covered

Name of Expert

 

Monday and  9 am to 9:45 am

Inaugural function

 

Monday and 9:45 am to 10 am

HIGH TEA

Lecture-1

Monday and 10 am to 11 am

Introduction

AG

Lecture-2

Monday and 11 am to 12 pm

Regression

AG

Lecture-3

Monday and 12 pm to 1 pm

Logistic Regression

AG

LUNCH (1 hour : from 1 pm to 2 pm)

Lecture-4

Monday and 2 pm to 3 pm

Bayes Decision Theory

AS

Lab-1

Monday and 3 pm to 4 pm

Application of Bayes Decision Theory

AG+AS

Lab-2

Monday and 4 pm to 5 pm

END OF THE DAY

Lecture-5

Tuesday and 9 am to 10 am

Maximum Likelihood Estimation
and Probability Density Estimation

AG

Lecture-6

Tuesday and 10 am to 11 am

PCA

AS

 

Tuesday and 11 am to 11:30 am

TEA

Lecture-7

Tuesday and 11:30 am to 12:30 pm

LDA

AS

Lecture-8

Tuesday and 12:30 pm to 1:30 pm

Perceptron Criterion

AS

LUNCH (1 hour : from 1:30 pm to 2:30 pm)

Lab-3

Tuesday and 2:30 pm to 3:30 pm

Implementation and Application of PCA and LDA

AG+AS

Lab-4

Tuesday and 3:30 pm to 4:30 pm

Lab-5

Tuesday and 4:30 pm to 5:30 pm

END OF THE DAY

Lecture-9

Wednesday and 9 am to 10 am

SVM

PKB

Lecture-10

Wednesday and 10 am to 11 am

SVM Contd.

PKB

 

Wednesday and 11 am to 11:30 am

TEA

 

Lab-6

Wednesday and 11:30 am to 12:30 pm

Application of SVM

AG+AS

Lab-7

Wednesday and 12 pm to 1 pm

LUNCH (1 hour : from 1:30 pm to 2:30 pm)

Lecture-11

Wednesday and 2:30 pm to 3:30 pm

Hyperbox Classifier

PKB

Lecture-12

Wednesday and 3:30 pm to 4:30 pm

Fuzzy Min-Max Neural Network

PKB

Lecture-13

Wednesday and 4:30 pm to 5:30 pm

Fuzzy Min-Max Neural Network Contd.

PKB

END OF THE DAY

Lecture-14

Thursday and 9 am to 10 am

Neural Network

PKB

Lecture-15

Thursday and 10 am to 11 am

Multilayer Perceptron

PKB

 

Thursday and 11 am to 11:30 am

TEA

 

Lab-8

Thursday and 11:30 am to 12:30 pm

Application of Neural Network

AG+AS

Lab-9

Thursday and 12:30 pm to 1:30 pm

LUNCH (1 hour : from 1:30 pm to 2:30 pm)

Lecture-16

Thursday and 2:30 pm to 3:30 pm

Decision Trees and Hierarchical Classification

AG

Lecture-17

Thursday and 3:30 pm to 4:30 pm

Ensemble Classifiers;

AG

Lecture-18

Thursday and 4:30 pm to 5:30 pm

Bagging, Boosting, Random Forest

AG

END OF THE DAY

Lecture-19

Friday and 9 am to 10 am

Deep Learning

RG

Lecture-20

Friday and 10 am to 11 pm

Deep Learning Contd.

RG

Lecture-21

Friday and 11 pm to 12 pm

Deep Learning Contd.

RG

 

Friday and 12 pm to 12:30 pm

TEA

 

Friday and 12:30 pm to 1:30 pm

MCQ Examination (1 hour)

LUNCH (2 hour : from 1:30 pm to 3:30 pm)

 

Friday, and 3:30 pm

Validatory function, certificate distribution and vote of thanks

HIGH TEA

END OF THE SHORT TERM COURSE

Note: However schedule may be changed due to availability of the external experts

Name of the experts
PKB: Prof. P. K. Biswas, IITKGP
RG: Dr. Ruchir Gupta, IITBHU
AS: Dr. Ayan Seal, IIITDMJ (Course Coordinator)
AG: Dr. Atul Gupta, IIITDMJ