1. Workshop on Machine Intelligence & Data Science Education in Karnataka : A dialogue between stakeholders Dr. H S Guruprasad Professor and Head, Dept of CSE BMS College of Engineering Bangalore - 560019 Presentation By

2. Computer Science and Engg.Information Science and Engg. Programmes BE in Computer Science and Engg. [1983] MTech in Computer Science and Engg. [1991] BE in Information Science and Engg. [1987] MTech in Computer Network Engg. [2011] Intake 120 for BE 18 for MTech 90 for BE 18 for MTech Total Students 640 students in BE 36 students in MTech 480 students in BE 36 students in MTech Faculty Strength 26 for BE 4 for MTech 23 for BE 4 for MTech INTRODUCTION TO CS DIVISION

3. Current Activities in Data Science and Machine Learning[Academic] Courses in UG and PG 1. Managing Big Data - 2 nd Semester MTech CSE 2. Machine Learning - 4 th Semester MTech CSE 3. Data Mining - 7 th Semester BE [CSE] in the Current Syllabus 4. Big Data - 7 th Semester BE [CSE] in the new syllabus Value Added Courses 1.Conducted a Value added Course on “Data Science and Machine Learning” in Jan 2015 for 30 students for 6 days [Speakers from industry and the internal faculty of CSE] 2. Conducted a Value added Course on “Hadoop” for 30 students for 3 days in Sept 2015 [Speakers were the internal faculty of CSE]

4. Text Mining and Sentiment Analysis of Unstructured Web Data (Twitter) Sentimenter : An automated tool for sentiment analysis Crawling data from a social network using machine learning to determine whether the information provided is fake or real. Feature Level Fusion for Face Recognition LBP and GABOR Wavelets for Face Recognition Classifying Plant Images Based on textural features using Ensemble of Classifiers Image Based Online Product Search Current Activities in Data Science and Machine Learning[Academic] BE Projects in 2014-15

5. Reduction of Compression Artefacts in JPEG using Machine Learning Technique Live Event Analysis with Emotion Recognition Wearable Emotion Detection Device and Emotion Tutor for ASD Video Analytics : Vehicle Identification and Automatic Number Plate Recognition System Wearable Tracking Device for Alzheimer's Patients Sentiment Analysis of Big Data of Social and Political Events Current Activities in Data Science and Machine Learning[Academic] BE Projects in 2015-16 Tweet Analysis for Real Time Detection Earthquake Reporting System Influential Maximization in Social Network Intrusion Detection using Genetic K-Means Algorithm

6. Current Activities in Data Science and Machine Learning[Research] Research TopicResearch ScholarGuide 1Web Data MiningT Vijaya KumarDr. H S Guruprasad 2Machine LearningN NagarathnaDr. M Indiramma 3Machine LearningJyothi S NayakDr. M Indiramma 4Social Network AnalysisJagadeeshwariDr. V Umadevi 5Prediction Models in M/c LearningRaghavendraDr. M Indiramma 6Social Network AnalysisSelva Kumar SDr. Kayarvizhy N 7Machine LearningNethravathiDr. M Indiramma

7. Current Activities in Data Science and Machine Learning[Research] Project Proposals Submitted 1. A Proposal for COE in “Image Processing and Machine Learning” is submitted to VGST in Oct 2015 [60 Lakhs] 2. A COE in “Big Data and Sensor Networks” is being established in CSE Dept. With an initial seed money of Rs 5 Lakhs from the college. 3. A workshop proposal on “Data Science and Machine Learning” is submitted to VGST in Oct 2015 [Rs 1.5 Lakhs] 4. A Project proposal on “Wireless Sensor based Wearable Emotion Detection Device and Analytics for Autism Disorder children” is submitted to TEQIP-II [4 Lakhs] 5. A Project proposal on “. Big data analytics on medical data of patients suffering from Dementia and Alzheimer ” is submitted to TEQIP-II [4.5 Lakhs]

8. Future Plans in Data Science and Machine Learning Establishing an Incubation Center [Dec 2017] Conducting Value added Courses for interested students [2 per semester] Product/Application Development [1 per year] Publications from the COE [4 in 2016, 6 in 2017] Establishing a COE in “Big data and Sensor Networks” [June 2016] Patents [2 by Dec 2017]

9. Thank You