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