Data Science and Machine Learning Activities Dr. S. R. Biradar SDM College of Engineering and Technology, Dharwad

Computer Science / Information Technology Curriculum Gartner Reports ACM / IEEE-CS Jointly Published Curricula Model Syllabus – AICTE Google Trends Job Opportunity – Data Science 4.4 million Globally – Cloud Computing 14 Million world wide from 2011 to 2015

Courses related to Data Science UG IS486 Data Science IS404 Cloud Computing CS427 Internet of Things IS453 Big Data Analytics IS408 Data Mining IS431 Android Mobile Application IS470 Business intelligence IS484 Mobile and Ad Hoc Sensor Networks PG 14SIT424 Machine Learning Techniques 14SIT22 Cloud Computing 14SIT253 Data Mining & Data Warehousing

Faculty Strengths and Lab Faculty Prof. V.K. Parvati Prof. S. R. Biradar Prof. Leena I. Sakri Prof. Rajashekarappa Prof. Srivasta Koulagi Prof. Vandana S Bhat Prof. Ravindra G D Prof. Mayur Patil Prof. Govind G Negalur List of IoT Components: Raspberry Pi, Arduino Board LDR Sensor, DHT Sensor LM35 Temperature Sensor GPS, Wi-fi, Bluetooth Module Accelerometer, Relay Switch RGB LED Projects related to Smart City

Massive Open Online Course (MOOC) 33 Students attended the course on Cloud Computing offered by Prof. T. V. Prabhakar, IITK in 2004 Predictive Analytics, Prof. Dinesh Kumar, IIMB Data Science, Cloud Computing, machine Learning and IoT offered by EDX, Coursera, and Udacity  Students and faculty attended:  Two QEEE courses on Machine Intelligence 2015  Workshop on IoT organized Deshpande Foundation, Hubli 2015  Hackthon for Hubli Dharwad

Students Projects Knowledge Discovery and Data Mining in a Data warehouse of Representative Mental Health Problems Agriculture Products Price Prediction using Predictive Analytics Design and Development of Recommendation Engine for Transport and Health Care Smart Irrigations Systems Using IoT

Workshops and FDP Workshops and FDP Organized: Sl No TitleFromTo 1 App development using Android Cloud Computing and Big Data Network Security Android App Development Computation Intelligence  Workshop / Conference are attended by faculty and students: 30+  Faculty as a resource persons at workshop / Conference: 20+

Future plans in Data Science & Machine Intelligence in 2016 Workshop and Symposium: – Internet of Things – Data Science and Big Data – Machine Learning and Artificial Intelligence International Conference: International Conference: – Data Science, Big Data, Cloud Computing, SDN and Machine learning Two New Course for UG Two New Course for UG – Machine Intelligence – Software Defined Networks State of Art Labs for Data Science State of Art Labs for Data Science

Thank you…