STC On Deep Learning (Oplan CSE-9) (22nd July to 26th July 2019)

STC On Deep Learning (Oplan CSE-9)
(22nd July to 26th July 2019)

 

Contents:

Introduction to Deep Learning and Applications

Anaconda Distribution, Jupyter setup and Python Programming for Deep Learning

Installation of Matplotlib, Tensorflow, Keras, Scikit and Essential Deep Learning Libraries
Supervised Techniques and Algorithms
Supervised Techniques Implementation and Hands-On

Essential Mathematics for Deep Learning
Principles of Deep Learning

Building Neural Networks from scratch: Path towards deep networks

Techniques for Optimizing Deep Neural Networks

Feature Engineering, Unsupervised Techniques and Algorithms and Model Evaluation

Unsupervised Techniques Implementation, Model Evaluation and Hands-On

Deep Networks: Concepts, Layers, Activations and Optimization Parameters

Training deep networks from Scratch, Classical Architectures and Transfer Learning

Deep Learning Applications from MathWorks

Medical Image Analysis using Deep Learning

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Forthcoming Courses 2019-2020

  1.   C SE-1 Research Oriented, Machine Learning using Python 29.04.2019 03.05.2019 NITTTR,
    CHD MD/AD, Northern
  2. C SE-2 Industry Supported ,Linux Administration Using CentOS 13.05.2019 17.05.2019 NITTTR,CHD, AD Northern
  3. C SE-9 Research Oriented, Deep Learning 22.07.2019 26.07.2019 NITTTR, CHD ,AD Northern
  4. CS ECL-3 Advanced Level, MATLAB for Engineering Applications (Two Weeks) 22.07.2019 02.08.2019 NITTTR,
    CHD AD/ LM  National
  5. CSE-12 Research Oriented , Machine Learning and Deep Learning Using Open Source (Two Weeks)
    16.09.2019 27.09.2019 NITTTR,CHD ,SS/AD National
  6. CSE-14 Skill Oriented, Python Programming 23.09.2019 27.09.2019 Outstation AD Northern
  7. CS E-17 Research Oriented, Data Analytics Tools for Research 04.11.2019 08.11.2019 NITTTR, CHD SS/AD National
  8. CSE-20 Research Oriented, Data Science and Big Data Analytics Using Open Source, (Two Weeks)
    18.11.2019 29.11.2019 NITTTR, CHD SS/AD National
  9. IC T-62 Research,Oriented ,Open Source Technologies 10.02.2020 14.02.2020 NITTTR, CHD AD National

 


 

LM-13 Lab Manual on Advanced Python Programming SS/AD CSE

LM-6- E-Lab Manual on Computer Hardware and Systems Software AD/SN CSE

V F-16 Image Forensics AD CSE

Linux Administration using CentOS (Oplan CSE-2) (13th to 17th May 2019)

Linux Administration using CentOS (Oplan CSE-2)

(13th to 17th May 2019)

Contents:

Overview and Essentials of Linux
Installation of CentOS using Virtualization Technology
Scientific and Technical Writing Tools using Linux
Software Management and Yum Server
Database Administration and No-Sql in CentOS
Block Chain Implementation using CentOS
Web Server, FTP Server Administration
Samba Server Implementation
DNS Server and Securing Shell
Shell Constructs and Programming
CentOS Containers and Administration
KVM and OpenStack Implementation in Centos
Cluster and Security Implementation
Deploying CentOS in Cloud
Automation using DevOps in Centos

 

Machine Learning using Python

Machine Learning using Python (Oplan CSE-1)

(29th April to 3rd May 2019)

At Chandigarh College of Engineering and Technology, Chandigarh

Contents:

Overview of Machine Learning and Applications

Advance Statistics, Probability Distribution, Naïve Bayes and Regression for Machine Learning (SKS)

Dimension Reduction, PCA, LDA, Tree Based Methods and Data Transformation Concepts

Overview of Data Analytics and Introduction to Python (Variables, operators, decision making)
Functions, loops and Data Structures

Anaconda Distribution and Jupyter setup and Python Programming for Machine Learning

Installation of Matplotlib, Tensorflow, Keras, Scikit and Essential Machine Learning Libraries

Medical Image Analysis using Machine Learning

Implementation of KNN, Logistic Regression, LDA and Gaussian Naïve Bayes

Implementation of Decision Tree, Random Forest, Gradient Boosting and SVM
Deep Learning

Transfer Learning and Fine Tuning of Deep Learning Models

Implementation of Transfer Learning and Fine Tuning of Deep Learning Models

Machine Learning Deployment in Hardware Using Micro Python

Upcoming Courses 2019-2020

(1.)   C SE-1, Research–, Machine Learning using Python  (29.04.2019  03.05.2019)
(2) C SE-2,Industry, Linux Administration Using CentOS (13.05.2019  to 17.05.2019)
(3) C SE-9 Research,Deep Learning (22.07.2019 to 26.07.2019)

(4) CSECL-3 Advanced Level MATLAB for Engineering App (22.07.2019 02.08.2019) 2Weeks

* ST -4 Research,Oriented, Image Processing and Signal Processing using Scilab (05.08.2019)
(5) CS E-10,Skill,Designing of Responsive Web Sites (26.08.2019 to 30.08.2019)

(6) DST Sponsored ( 16 to 27 Sep 2019) Machine Learning and Deep Learning using Open Source

(7) CSE-14,Research,Data Analytics Tools for Research,(04.11.2019 to 08.11.2019)

(8) DST Sponsored ( 18 to 29 Nov 2019) Data Science and Big Data Analytics using Open Source
(9) CSE-16 Skill,Image Forensics (20.01.2020 to 24.01.2020),Outstation
(10)  CSECL-7 Skill,Digital Repository (23.09.2019 27.09.2019)

(11.)ICT-43Research Oriented Open Source Technologies (10.02.2020 to 14.02.2020 )

One-Day Workshop on Digital Resources and Open Source on 19 March 2019

One-Day Workshop on Digital Resources and Open Source  on 19 March 2019

Organized by Department of Computer Science and Engineering, NITTTR, Chandigarh

Contents

  • Free and Open Source Softwares, Resources and Digital Contents
  • E-Content Generation  using open source software
  • Effective Content Management and Delivery Tools using Moodle
  • Building Digital Content and Repositories using Open Source Software

Data Analytics Tools for Research (18 to 22 March 2019) at Panjab University, Chandigarh

Data Analytics Tools for Research (Oplan CSE-22)

(18 to 22 March 2019)

At Centre for Systems Biology and Bioinformatics, Panjab University, Chandigarh

Overview of Data Analytics and Introduction to Python (Variables, operators, decision making)

 

Functions, loops

and Data

Structure

 

Anaconda Distribution, Jupyter and Julia Framework setup for Data Analytics

Lab Session

 

Network Biology,

STRING & STICH databases for Analytics 

Cytoscape tools for Data virtualization and Analytics

Advance Statistics for

Data Analytics

Advance Statistics for

Data Analytics

Data Cleaning, Preprocessing Techniques, Statistics using Python and Visualization using Matplotlib

Digital Data Forensic Analysis   and Bio Informatics Data Analysis

Julia and Optimized Python for Data Science and Analytics

Lab Session

Academic Data Analytics for Research and Publications

Implementation of Machine Learning Algorithms using Python

Implementation of Machine Learning Algorithms using Python 

Feedback and Evaluation