STC on Computer Network and Hardware Maintenance

 

Computer Network and Hardware Maintenance

                  Oplan :   ICT-CSE-22    (17-21 Jan 2022)

Contents

Recent Trends in Computer System Configurations
Virtualization Technology
Installation of Virtualization Technology
Simulation Platforms for Network Simulations
Hard Disk Partitioning, MBR and Operating System Installation
Network Cabling and Addressing
Computer Internals, SMPS and Printer Troubleshooting
IOT Hardware and Latest Trends
Security issues and Troubleshooting in Computer Networks
Skill-based Computer Networking and Commands
Wireless Network Configuration and Troubleshooting
Case Study

Schedule

DATE	10:00 A.M. to 11:30 P.M.	11:30 A.M. to 1:00 P.M.	3:00P.M. to 4:30 P.M.
17-01-2022	Recent Trends in Computer System Configurations	Virtualization Technology	Installation  of  Virtualization Technology
18-01-2022	Simulation Platforms for Network Simulations	Hard Disk Partitioning, MBR and Operating System Installation	Network Cabling and Addressing
19-01-2022	Computer Internals, SMPS and Printer Troubleshooting	Computer Internals, SMPS and Printer Troubleshooting	Advance Computer Faults and Troubleshooting
20-01-2022	Wireless Network Configuration and Troubleshooting	Security issues and Troubleshooting in Computer Networks	Skill-based Computer Networking and Commands
21-01-2022	IOT Hardware and Latest Trends	Research Information Management network: an Overview of a web-based platform for Panjab University, Chandigarh	Case Study, Feedback and Online Quiz

Forthcoming Courses

1. Computer Network and Hardware Maintenance

                  Oplan :   ICT-CSE-22    (17-21 Jan 2022)

 

    2.      Open Source Technology 

                Oplan: ICT-CSE-25   (24-28 Jan 2022)

 Online Registration:  https://www.ulektzcampus.com/nitttr

 

 

 

Support Indian Army

https://ndf.gov.in/

STC on Computer Vision using Open CV (25-29 October 2021)

STC on Computer Vision using Open CV (25-29 October 2021)

DATE	10:00 A.M. to 11:30 P.M.	11:30 A.M. to 1:00 P.M.	3:00P.M. to 4:30 P.M.
25-10-2021	Introduction to Computer Vision and OpenCV Algorithms	Essentials of OpenCV and Computing Platforms	Installation  of  OpenCV and Demonstration
26-10-2021	Essentials of Python Programming for Computer Vision and OpenCV	Document Scanner and QR Code Detection using OpenCV	Image Processing Operations using OpenCV
27-10-2021	Object Tracking by Color using OpenCV	Real Time Object   Analysis and Forensic Applications using OpenCV	Practice Session/Assignments
28-10-2021	Video Analytics using OpenCV	NSFW Classifier to curb out censored content using OpenCV	Number plate detection using OpenCV
29-10-2021	Image Segmentation and Face Detection using OpenCV	Object Detection and Distance Measurement using OpenCV	Computer Vision Applications using GAN and PyTorch

 

Contents

 Introduction to Computer Vision and OpenCV Algorithms
Essentials of OpenCV and Computing Platforms
Installation of OpenCV and Demonstration
Essentials of Python Programming for Computer Vision and OpenCV
Document Scanner and QR Code Detection using OpenCV
Image Processing Operations using OpenCV
Object Tracking by Color using OpenCV
Real Time Object Analysis and Forensic Applications using OpenCV
Video Analytics using OpenCV
NSFW Classifier to curb out censored content using OpenCV
Number plate detection using OpenCV
Image Segmentation and Face Detection using OpenCV
Object Detection and Distance Measurement using OpenCV
Computer Vision Applications using GAN and PyTorch

 

 

STC on Docker Programming ( 20 to 24 Sep 2021)

Schedule

 

Docker Programming. Oplan: ICT-CSE-13

(20-24 September 2021)

 

 

DATE	10:00 A.M. to 11:30 P.M.	11:30 A.M. to 1:00 P.M.	3:00P.M. to 4:30 P.M.
20-09-2021	Introduction to Docker Programming	Essentials of Docker and Virtualization Technology	Installation  of  Docker in Ubuntu
21-09-2021	Programming Concepts and Demonstration	Docker Programming and Architecture	Docker Components and Security
22-09-2021	Essential Commands and Shell Programming	Docker Storage and Databases	Docker  Clustering and Kubernetes
23-09-2021	Building and Dockerization of Desktop Applications	Building and Dockerization of Web Appplications	Docker Deployment over the Cloud
24-09-2021	Running Multiple Containers as a Single Service using Docker Compose	Dockers & Containers, The future of Microservices	Docker Applications in Education and Research

 

STC on Deep Learning (23-27 August 2021)

Deep Learning. Oplan: ICT-CSE-9

 

Schedule

 

Deep Learning. Oplan: ICT-CSE-9

(23-27 August 2021)

DATE	10: A.M. to 11:30 P.M.	2:30 P.M. to 4:00 P.M.
23-08-2021	Introduction to Machine Learning and Deep Learning	Essentials of Python and  Deep Learning Libraries
24-08-2021	Neural Networks and CNN Algorithms	Deep Learning in Remote Sensing and Computer Vision
25-08-2021	Open Source Deep Learning Based Frameworks for Face Analytics	Deep Learning, Regularization and Optimizing Deep Learning Networks
26-08-2021	Recurrent Neural Networks and Generative adversarial networks	Self-supervised Learning, Active learning and Meta Learning
27-08-2021	Implementation of LSTM, Auto encoders and Transformers in Deep Learning	Deep Learning Applications for Medical Image Processing

 

AICTE – NITTT One Week Online Orientation Training Programme (OTP) for Mentors (21-25th June, 2021)

Attendance

Fill the attendance ( Click Here for the same) Once per day

Programme Schedule for

One Week Online Orientation Training Programme (OTP) for Mentors (21-25^th June, 2021)

Day	Session I 10 am to 11 am	Session II 11 am to 12 Noon	Study Break	Session III 2 pm to 3 pm	Session IV 3 pm to 4 pm	Interaction/ Assessment 4 to 5 pm
Mon   21 June	Registration to NITTT Portal	Mentor Guidance Manual, Rubrics and Evidences to be maintained by inductee teachers (Prof. Maitreyee Dutta)		Features of Module-1 – NITTTR Chennai	Use of Module-1 Rubric – NITTTR Chennai
Tue   22 June	Features of Module-2 – NITTTR Bhopal	Use of Module-2 Rubric – NITTTR Bhopal		Features of Module-3 , Er. Amandeep Kaur NITTTR Chandigarh	Use of Module-3 Rubric – Er. Amandeep Kaur , NITTTR Chandigarh	Quiz (Prof. K G Srinivasa)
Wed   23 June	Features of Module-4 – NITTTR Bhopal	Use of Module-4 Rubric – NITTTR Bhopal,		Features of Module-5 – NITTTR Chennai	Use of Module-5 Rubric – NITTTR Chennai	Quiz (Prof. K G Srinivasa)
Thu   24 June	Features of Module 6 – NITTTR Chennai	Use of Module-6 Rubric – NITTTR Chennai		Features of Module -7 – Prof. P K Tulsi, NITTTR Chandigarh	Use of Module-7 Rubric – Prof. P K Tulsi, NITTTR Chandigarh	Quiz (Prof. K G Srinivasa)
Fri   25 June	Features of Module – 8 Prof. Rakesh K. Wats, NITTTR Chandigarh	Use of Module-8 Rubric – Prof. Rakesh K. Wats, NITTTR Chandigarh		Quiz (Prof. K G Srinivasa)	Discussion about Assignments (Prof. Maitreyee Dutta)	Valediction

STC on Linux for Engineering Applications (03-07 May 2021)

NITTTR Chandigarh Organizes STC on

Linux for Engineering Applications for faculty and staff of AICTE approved Technical Institutions

(03-07 May 2021)

Oplan: ICT-31

Timetable

 

DATE	10: A.M. to 11:30 P.M.	2:30 P.M. to 4:00 P.M.
03-05-2021	Essentials of Linux and Shell Programming	Computing Environment and Engineering Applications using Scilab
04-05-2021	Research Data Analytics and Open Access Plagiarism Detection Tool	Scientific and Engineering Computation using Octave
05-05-2021	Image and Video Analysis using OpenCV	Linux Applications and Tools for Research
06-05-2021	Solving Linear and Non-Linear Problems using GNU Octave	Linux Based Tools for Internet of Things
07-05-2021	IoT Simulation in Linux Environment	Docker Applications

Contents

 

Essentials of Linux and Shell Programming

Computing Environment and Engineering Applications using Scilab

Research Data Analytics and Open Access Plagiarism Detection Tool

Scientific and Engineering Computation using Octave

Image and Video Analysis using OpenCV

Solving Linear and Non-Linear Problems using GNU Octave

Linux Applications and Tools for Research

Linux Based Tools for Internet of Things

IoT Simulation in Linux Environment

Docker Applications

STC on Machine Learning ( 15- 19 March 2021)

STC on Machine Learning Algorithms for Faculty and Staff from AICTE approved Technical Institutions

Schedule

DATE	10: A.M. to 11:30 P.M.	2:30 P.M. to 4:00 P.M.
15-03-2021	Introduction to Machine Learning	Essentials of Python , Machine Learning Libraries and Demonstration on Machine Learning Algorithms
16-03-2021	Essential of Statistics for Machine Learning Algorithms	Linear Regression, Logistic Regression and Gradient Descent
17-03-2021	Supervised Learning using Decision Tree, K-Nearest Neighbors and Naive Bayes	Discriminant Analysis, Random Forest and SVM Algorithms
18-03-2021	Unsupervised Learning using K-Means and Hierarchical Clustering	Ensemble Machine Learning (Bagged Decision Trees, Boosting and AdaBoost) Algorithms
19-03-2021	Neural Networks and deep neural networks,  Regularization and optimizing deep networks	CNN Algorithms and Deep learning

Machine Learning Algorithms using Open Source

 

Forthcoming (Tentative Topics)

Algorithm 1: Gradient Descent.
Algorithm 2: Linear Regression.
Algorithm 3: Logistic Regression.
Algorithm 4: Linear Discriminant Analysis.
Algorithm 5: Classification and Regression Trees.
Algorithm 6: Naive Bayes.
Algorithm 7: K-Nearest Neighbors.
Algorithm 8: Learning Vector Quantization.
Algorithm 9: Support Vector Machines.
Algorithm 10: Bagged Decision Trees and Random Forest.
Algorithm 11: Boosting and AdaBoost.

Simple Linear Regression using Statistics.
Simple Linear Regression with Gradient Descent.
Logistic Regression with Gradient Descent.
Linear Discriminant Analysis using Statistics.
Classification and Regression Trees with Gini.
Naive Bayes for Categorical Data.
Gaussian Naive Bayes for Real-Valued Data.
K-Nearest Neighbors for Classification.
Learning Vector Quantization for Classification.
Support Vector Machines with Gradient Descent.
Bagged Classification and Regression Trees.
AdaBoost for Classification.