Day-Three of Five Days Online FDP on “Research Challenges and Trends in Information Technology”
Day-Three of the FDP had two sessions:
Session-1
This session was facilitated by Dr. Sumith N., Asst. Professor, Senior Scale, Dept. of ICT, MIT-Manipal. She has a work and research experience of 14 years. Her areas of interest are Algorithms, Data analytics, Social Networks, Remote Sensing Data, and Cyber Physical System.
The Agenda was focused on Deep Learning Technologies for Healthcare.
Highlights of the Session:
• Importance of Healthcare in Research areas in order to prevent and treat diseases
• Introduction & History of Deep Learning
• Deep Learning use cases: Gaming, Image Recognition, Speech Processing, Healthcare
• Deep Learning in Healthcare: Imaging Analytics & Diagnostics, Natural Language Processing, Drug Discovery & Precision Medicine, Clinical Decision Support & Predictive analytics, Alzheimer’s Disease & Genetics
Session-2
This session was facilitated by Dr. Shreyas Rao, Assoc. Professor, Dept. of Computer Science & Engineering at Sahyadri. Dr. Shreyas has 16+ years of experience in IT, Teaching, and Research domains. His research interests include Semantic Web, linked open data, crowd sourcing, knowledge engineering, and web services.
The Agenda was focused on Research trends and future of Semantics web.
Highlights of the Session:
• Evolution of Web
• Introduction, Structure, popular upper Ontologies, Domain-specific Ontologies of Semantic web
• Semantic Web applications: Linked Open Data (LOD) Cloud, DBPedia, Semantic Scholar
• Tools used & survey of research on Semantic web
• Research areas in Semantic Web: Knowledge representation reasoning & processing, Matching aligning & mapping vocabularies, Data management & challenges of Bigdata, Semantics in ensuring security, trust & privacy
• Research trends & opportunities: Changes in schema & data format, Semantic Web of Thing(SWOT), Semantic Search Engines, Semantic Interlinking / working on algorithms for pattern matching, End to End Semantic applications
• Journals for Paper Publications in (Scopus/SCI Indexed).
Training and Placement –
Goldman Sachs Campus Hiring Program for 2021 & 2022 Batch
Goldman Sachs, a US $36.5 Billion Company has launched their Campus Hiring Program for the Engineering students of the 2021 & 2022 Batch. They are offering Full Time Job Role for the 2021 Batch and Internship Opportunity Role for the 2022 Batch. Their entry level salary packages are amazing and it is a wonderful opportunity for the students.
The Goldman Sachs Group Inc., is a leading global investment banking, securities and investment management firm that provides a wide range of financial services to a substantial and diversified client base that includes corporations, financial institutions, governments and individuals.
Wipro TalentNext 2020
Wipro collaborates with Sahyadri to redefine the learning paths.
The TalentNext initiative is an enablement to train the faculty and the students and make them industry ready. The workshop is activity-based and focuses on hands-on modules and technological know-how in the current context of Digital disruption. Workshop timing on all days except last 2 days will be 9 am to 1pm followed by assignments which the professors can complete before the next day’s session as per their convenience. Last 2 days will be from 9 am to 5 pm covering Python.
Sahyadri has nominated three faculty viz. Mr. Ganaraj K. from Information Science & Engineering, Ms. Suketha and Ms. Vanishree B. S. from Computer Science & Engineering for the TalentNext WCF workshop.
• The nominated professors will undergo preliminary general programing test using JAVA/Python/C#/C++.
• Professors securing 50% marks will be considered for this WCF workshop.
• Selected professors will go through self-learning on the assigned topics on PBLApp for a week.
List #22 of Coursera Courses completed by Students and Faculty
This space will provide you further list of students and staff who have completed the courses on Coursera.
STUDENTS |
Computer Science & Engineering |
|
Name |
Course Title |
Varun Acharya |
Programming for Everybody (Getting Started with Python) |
Veena Alur |
Technical Support Fundamentals |
Vibha V. |
Programming for Everybody (Getting Started with Python) |
Electronics & Communication Engineering |
|
Name |
Course Title |
Venkatesh Bhat |
Introduction to Electronics |
Programming Fundamentals |
Vibha |
Machine Learning for All |
Vidya N. |
Internet of Things: How did we get here? |
Programming Fundamentals |
Vignesh A.J. |
Programming for Everybody (Getting Started with Python) |
Electric Power Systems |
The Bits and Bytes of Computer Networking |
Programming Fundamentals |
Information Science & Engineering |
|
Name |
Course Title |
Vinodraj K.N. |
Python Project: pillow, tesseract, and opencv |
Python Data Analysis |
Introduction to the Internet of Things and Embedded Systems |
Interfacing with the Arduino |
Using Python to Access Web Data |
Data Collection and Processing with Python |
The Arduino Platform and C Programming |
Programming for the Internet of Things Project |
Python Programming Essentials |
Python Data Structures |
Python Programming: A Concise Introduction |
Python Classes and Inheritance |
Python Functions, Files, and Dictionaries |
Python Basics |
Programming for Everybody (Getting Started with Python) |
Introduction to Data Science in Python |
Python Data Representations |
The Raspberry Pi Platform and Python Programming for the Raspberry Pi |
Python Data Visualization |
Interfacing with the Raspberry Pi |
Capstone: Retrieving, Processing, and Visualizing Data with Python |
Mechanical Engineering |
|
Name |
Course Title |
Vishal Bajpe |
Introduction to Enterprise Computing |
Production Machine Learning Systems |
Programming Fundamentals |
End-to-End Machine Learning with TensorFlow on GCP |
How Google does Machine Learning |
The Unix Workbench |
Launching into Machine Learning |
Convolutional Neural Networks |
Feature Engineering |
Foundations for Big Data Analysis with SQL |
Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization |
Biology Meets Programming: Bioinformatics for Beginners |
Building Batch Data Pipelines on GCP |
Advanced Manufacturing Process Analysis |
Intro to TensorFlow |
Basic System Programming on IBM Z |
Preparing for the Google Cloud Professional Data Engineer Exam |
Advanced Manufacturing Enterprise |
Material Behavior |
Modernizing Data Lakes and Data Warehouses with GCP |
Structuring Machine Learning Projects |
Material Processing |
Smart Analytics, Machine Learning, and AI on GCP |
Digital Thread: Implementation |
Getting Started on Mainframe with z/OS Commands and Panels |
Building Resilient Streaming Analytics Systems on GCP |
Industrial IoT on Google Cloud Platform |
Sequence Models |
Digital Thread: Components |
Art and Science of Machine Learning |
Digital Manufacturing & Design |
Intelligent Machining |
Google Cloud Platform Big Data and Machine Learning Fundamentals |
Introduction to Cloud Identity |
Neural Networks and Deep Learning |
Dept. of Business Administration-MBA |
|
Name |
Course Title |
Vaishnavi |
New Technologies for Business Leaders |
Design Thinking for Innovation |
Varsha Koli |
New Technologies for Business Leaders |
Varshini Shetty |
New Technologies for Business Leaders |
Design Thinking for Innovation |
STAFF |
|
Name |
Dept. |
Course Title |
Sharada Priyadarshini Rai |
Chemistry |
General Chemistry: Concept Development and Application |
Chemicals and Health |
Introduction to Molecular Spectroscopy |
Chemistry |
Advanced Chemistry |
|
Quote for the day
“Be yourself; everyone else is already taken.”
― Oscar Wilde