Workshop on Machine Intelligence & Data Science Education in Karnataka : A dialogue between stakeholders Dr.Ramakanthkumar P, Dr.Vijayalakshmi M N Dr.Shantha.

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Presentation transcript:

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) Begaluru-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 Rashtreeya Sikshana Samithi Trust R V College of Engineering (An Autonomous Institution, affiliated to VTU Belagavi) Bengaluru-59

Presentation Outline Student StrengthStudent Strength Faculty StrengthFaculty Strength Academic ActivitiesAcademic Activities Research ActivitiesResearch Activities R V College of Engineering, Bengaluru

Introduction to CS Division R V College of Engineering, Bengaluru CSISMCAIEM Faculty Strength Student Strength UG PG

Academic Activities R V College of Engineering, Bengaluru CSISMCAIEM Core Courses Database Management System Database Management System Database Management System Database Management System Database Management System Statistics for Decision Making Statistics for Decision Making Statistical Quality Control Statistical Quality Control Database Management System Database Management System ProfessionalElectives Probability & Statistics Probability & Statistics Introduction to machine Learning Introduction to machine Learning Artificial Intelligence Artificial Intelligence Natural Language Processing Natural Language Processing Artificial Neural Networks Artificial Neural Networks Data warehousing and mining Data warehousing and mining Game Theory Game Theory Fuzzy Logic Fuzzy Logic Genetic Algorithm Genetic Algorithm Emerging Technology in Computational Sciences Emerging Technology in Computational Sciences Big Data Analytics Big Data Analytics Information Retrieval Information Retrieval Soft Computing Soft Computing Natural Language Processing with Python Natural Language Processing with Python Pattern Recognition Pattern Recognition Emerging Technology in Information Sciences Emerging Technology in Information Sciences Big Data Analytics Big Data Analytics Information Retrieval Information Retrieval Business Intelligence Business Intelligence Probability and Statistics Probability and Statistics Pattern Recognition Pattern Recognition Data mining Data mining Data Warehousing Data Warehousing Business Intelligence Business Intelligence Applied Statistics Applied Statistics Principles of Soft Computing Principles of Soft Computing Data Warehousing and Data Mining Data Warehousing and Data Mining Optimization Techniques Optimization Techniques Supply Chain Management Supply Chain Management Open Electives 12GF705 Artificial Neural Networks 12GF705 Artificial Neural Networks 12GG712 Linear Algebra 12GG712 Linear Algebra 12GG703 Intelligent Systems 12GG703 Intelligent Systems 12GG701 Bioinformatics 12GG701 Bioinformatics

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

inin Industry Based Laboratories

Academic Activities R V College of Engineering, Bengaluru CSISMCAIEM Mini Projects Mini Projects Major Projects Major Projects Funded Projects and Consultancy Funded Projects and Consultancy Journal Publications Journal Publications

Research Centers R V College of Engineering, Bengaluru All the departments are having research centers recognized by VTU, BelagaviAll the departments are having research centers recognized by VTU, Belagavi

Software Tools Used Weka, Tangara, Rapidminer, R toolWeka, Tangara, Rapidminer, R tool MatlabMatlab Minitab v17Minitab v17 HadoopHadoop Promodel Rel. 6.0Promodel Rel. 6.0 Arena v.11Arena v.11 Statistical Process Control SPC– PC IVStatistical Process Control SPC– PC IV Design of Experiments DOE – PC IVDesign of Experiments DOE – PC IV SYSTAT 10.2SYSTAT 10.2 Sixth Sense ERP PackageSixth Sense ERP Package Preactor Educational LitePreactor Educational Lite Ofbiz (Open Source)Ofbiz (Open Source) Opentaps (Open Source)Opentaps (Open Source) Quality CompanionQuality Companion PalisadePalisade R V College of Engineering, Bengaluru

Future Plan Creating a Center of Excellence in Data Science and Machine LearningCreating a Center of Excellence in Data Science and Machine Learning Establishing chair in Data Science & Machine learning in collaboration with industryEstablishing chair in Data Science & Machine learning in collaboration with industry Starting MOOC course on Data Science & Machine learningStarting MOOC course on Data Science & Machine learning Taking up consultancy projects with industry in the area of Data science and Machine LearningTaking up consultancy projects with industry in the area of Data science and Machine Learning Carrying out funded projects from various agenciesCarrying out funded projects from various agencies R V College of Engineering, Bengaluru

Thank You R V College of Engineering, Bengaluru