PPT - Machine Learning Lab

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Transcript PPT - Machine Learning Lab

Rashtreeya Sikshana Samithi Trust
R V College of Engineering
(An Autonomous Institution, affiliated to VTU Belagavi)
Begaluru-59
Workshop on Machine Intelligence & Data Science
Education in Karnataka : A dialogue between
stakeholders
Dr.Ramakanthkumar P,
Dr.Vijayalakshmi M N
Dr.Shantha Rangaswamy
Prof.Ravishankar
Rashtreeya Sikshana Samithi Trust
R V College of Engineering
(An Autonomous Institution, affiliated to VTU Belagavi)
Bengaluru-59
Workshop on Machine Intelligence & Data Science
Education in Karnataka : A dialogue between
stakeholders
Dr.Ramakanthkumar P, Dean Academics
Dr.Vijayalakshmi M N, MCA
Dr.Shantha Rangaswamy, CSE
Prof.Ravishankar, IEM
Presentation Outline
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Student Strength
Faculty Strength
Academic Activities
Research Activities
R V College of Engineering, Bengaluru
Introduction to CS Division
CS
IS
MCA
IEM
15
12
10
05
UG
800
300
-
200
PG
72
72
480
36
Faculty Strength
Student Strength
R V College of Engineering, Bengaluru
Academic Activities
CS
IS
MCA
IEM
Core Courses
•Database Management System
Database Management
System
•Database
Management System
•Statistics for Decision
Making
•Statistical Quality
Control
•Database Management
System
Professional
Electives
•Probability & Statistics
•Introduction to machine
Learning
•Artificial Intelligence
•Natural Language Processing
•Artificial Neural Networks
•Data warehousing and mining
•Game Theory
•Fuzzy Logic
•Genetic Algorithm
•Emerging Technology in
Computational Sciences
•Big Data Analytics
•Information Retrieval
•Soft Computing
•Natural Language
Processing with Python
•Pattern Recognition
•Emerging Technology in
Information Sciences
•Big Data Analytics
•Information Retrieval
•Business Intelligence
•Probability and
Statistics
•Pattern Recognition
•Data mining
•Data Warehousing
•Business Intelligence
•Applied Statistics
•Principles of Soft
Computing
•Data Warehousing and
Data Mining
•Optimization
Techniques
•Supply Chain
Management
Open
Electives
•12GF705
Artificial Neural Networks
•12GG712
•12GG703
•12GG701
Linear Algebra
Intelligent Systems
Bioinformatics
R V College of Engineering, Bengaluru
Self Study Component
• The self-study component would be one of the following, which is evaluated
as part of the CIE.
– Domain specific case study
– Understanding the working of a product/system/process from concept to
design, implementing and operating principles
– Design, develop and establish new experiments
– These components could also include visit to relevant industry / R&D
laboratory/Advanced Institute/Any other applicable facility as a part of
the study
– The topic for self study is chosen to emphasize inter-disciplinary nature
of technology/product/system/processes
– The number of hours to be apportioned for self study is 16 hours per
week.
– The topic selected for the given semester is based on the latest
development in Technology/Product/process/system/concept in a given
domain linking the multiple courses of the semester
Industry Based Laboratories
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Industry Based Laboratories
Industry Based Laboratories
Academic Activities
CS
IS
MCA
Mini Projects
Major Projects
Funded Projects and Consultancy
Journal Publications
R V College of Engineering, Bengaluru
IEM
Research Centers
• All the departments are having research
centers recognized by VTU, Belagavi
R V College of Engineering, Bengaluru
Software Tools Used
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Weka, Tangara, Rapidminer, R tool
Matlab
Minitab v17
Hadoop
Promodel Rel. 6.0
Arena v.11
Statistical Process Control SPC– PC IV
Design of Experiments DOE – PC IV
SYSTAT 10.2
Sixth Sense ERP Package
Preactor Educational Lite
Ofbiz (Open Source)
Opentaps (Open Source)
Quality Companion
Palisade
R V College of Engineering, Bengaluru
Future Plan
• Creating a Center of Excellence in Data Science
and Machine Learning
• Establishing chair in Data Science & Machine
learning in collaboration with industry
• Starting MOOC course on Data Science &
Machine learning
• Taking up consultancy projects with industry in
the area of Data science and Machine Learning
• Carrying out funded projects from various
agencies
R V College of Engineering, Bengaluru
Thank You
R V College of Engineering, Bengaluru