PAR TICIPANTS ELIGIBILITY

Thiagarajar College of Engineering • The faculty members from AICTE approved colleges TEQIP III Sponsored • Professionals from Industries One Week Short Term Course (STC) • Scientists/Officers from R & D organization. • Research Scholars on TEQIP III Sponsored REGISTRATION FEE "Machine Learning Techniques in One Week Short Term Course Modern Manufacturing" Faculty from colleges - Rs.1500 on th 111 Industry/R&D professional - Rs.2000 10 Dec 2018 to 16 Dec 2018 Research Scholar - Rs.1000 "MACHINE LEARNING TECHNIQUES IN REGISTRATION FORM The payment should be made in the form of crossed MODERN MANUFACTURING" Name (In Block Letters) : demand draft drawn in favor of "The Principal, Designation : Thiagarajar College of Engineering", payable at 11 1 . 10 ' Dec 2018 to 16 " Dec 2018 Department : Institution : IMPORTANT DATES Institution recognized by AlCTE : D Yes D No Submission of application : 04.12.2018 Mailing Address : Intimation of Selection Phone No. : : 06.12.2018 Email I.D : (by E-mail to the individuals and in our website) Research Interest : Confirmation by participants : 07.12.2018 Experience (in years) Address for mailing the registration form Academic Industry Research Total and for further information, please Contact:

Mr. S. Manikandan Mr. B. Sankar DD. DETAILS Email: [email protected] [email protected] Amount : No Mobile: 9629395025 9488964408 Bank Date : ACCOMMODATION AND BOARDING DECLARATION Participants are requested to make their own Organizedby The above information is true to the best of arrangements for stay during the workshop. Department of Mechanical Engineering my knowledge. I agree to abide by the rules and However, suggestions to suitable Thiagarajar College of Engineering regulation governing the Sho1t Tenn Course. Ifl am accommodation nearer to the college could be made on request. Madurai - 625 015 selected, I shall attend the course for entire duration. Date : Course Coordinators Place : Meenakshi Amman Temple - 8 km, Rameswaram - 170 km, Kodaikanal - 115 km, Dr. ML. Mahadevan Assistant Professor of Mechanical Engineering Signature of the participant Gandhi Memorial Museum - 10 km, Srirangam - 150 km, Alagar Kovil - 30 km. Mr. S. Manikandan Recommended and Forwarded Assistant Professor of Mechanical Engineering Details & Registration Form can be downloaded from: Mr. B. Sankar https://machlearn18.wordpress.com Assistant Professor of Mechanical Engineering Signature & Seal of the Sponsoring Authority Email to: [email protected] THIAGARAJAR COLLEGE OF ENGINEERING SCOPE COURSE OBJECTIVES Machine Learning is an existing realm which The Main aim of this course is to: Thiagarajar College of Engineering (TCE), • Provide an insight into the basics of Machine Madurai is a Government aided ISO 9001 :2008 involved predicting the future of Learning (ML). certified Institution, affiliated to . technological world. In particular, engineering • what do you need to learn to become a machine TCE is one among the several educational and disciplines need to develop methods to improve learning engineer? philanthropic institutions founded by • Abie to recognize data pattern and solve them the efficiency of their processes and products using various ML Algorithms. Philanthropist and Industrialist Late. Shri. that involves designing systems with effective • Solve Case studies of machine learning Karumuttu Thiagarajan Chettiar. TCE was decision making to minimize wastage and applications. established in the year 1957 and granted Autonomy • Enhance the research capabilities in the in the year 1987. TCE is funded by Central and maximize efficiency. The development of such field of machine learning for problems in State Governments and Management. TCE newer methodologies involves prediction of the mechanical domain. • has been accredited by the National Board of future. This is where machine learning takes its Throw light on trends and prediction of ML future. Accreditation in the years 1998, 2005, 2014 place. In simple terms, machine learning is the facet and 2016. TCE offers eight undergraduate of a computer in which professionals give machines RESOURCE PERSONS programmes,thirteen Postgraduate programs the ability to learn a task without being and doctoral programs in Engineering, Science specifically programmed to do so. This is • Dr. E.G.Rajan, Pentagram Research Centre, Hyderabad and Architecture. TCE is one of the recognized accomplished through teaching them how to find • Dr. Ashok Rao, IISc, Bangalore QlP centers from 2012 onwards. Adding to its pride, TCE has also secured 39th rank in the patterns in data on their own. Given data, a • Dr. R. Vishnuvardhan, Pondicherry University NIRF 2018 ranking by MHRD, Government of machine learning algorithm can recognize • Dr. S. Balaji Srinivasan, IIT Madras patterns and learn from data to make India under the Engineering category. • Dr. P. Balamurugan, IIT Bombay predictions about new data, all through the use • Dr. N. Anbazhagan, , Karaikudi DEPARTMENT OF MECHANICAL ENGINEERING of clever statistics. In short, if you have data and a pattern of the data, your machine can • Dr. S. Amutha, Alagappa University, Karaikudi The Department of Mechanical learn. Thus, machine learning is essential • Dr. S. Karthick, NIT Andhrapradesh Engineering of this college has been established • Dr. S. Baskar, TCE, Madurai in the year 1957. The department has state-of-art in future science and technology in facility in the area of rapid prototyping, reverse producing the best design subjects. • Experts from Industries and Faculties from TCE engineering, CNC Machining, CAD, FEA Machine learning techniques (MLTs) involves Analysis, CAM, Robotics, Machine vision, data mining (DM), artificial intelligence (AI), COURSE CONTENT Nano technology, Automotive, CFD and knowledge discovery (KD) from databases. Industrial Engineering. The Department has Machine learning can improve quality, • Essential Maths for Machine Learning projects from SAMEER, DST, ISRO, AICTE and processes, and deliver competitive • Basics of Machine Learning has undertaken sponsored projects from advantage over conventional systems. The field of • Data Analytics - Preprocessing & normalization AMADASOFT, IFB and various other leading machine learning is very broad and diverse. • Numerical computation & Optimization Basics companies. The department strength lies in • Exploring into Machine Learning having a good number of experienced and well MLTs are broadly structured under three qualified faculty members. The department is fully categories: supervised learning, unsupervised o Introduction to ML Packages committed to develop strong, ethical and competent learning and reinforcement learning. For o Supervised & Unsupervised Learning engineers by synergizing world class teaching, mechanical engineers, suitable adoption of o Reinforcement Learning learning & research. these powerful tools is difficult and hinder • Machine Learning Algorithms the utilization of vast amount of data that o SVM, LDA, Bayes, kNN TEQIP III is increasingly being available. o GLM, Decision Tree, Neural Network The World Bank supported Technical This Short Term Course (STC) aims o ANN, Evolutionary, Genetic Education Quality Improvement Programme to enhance the knowledge of faculty o Hierarchical, Gaussian Mixture, PCA (TEQIP) is a long term programme, being and researchers who are involved in the • Mechanical Applications of ML implemented in three phases for a systemic use machine learning concepts and • Current Trends in Machine Learning transformation of the Technical Education algorithms to design, process & implement • Prediction of Machine Learning Future System in India. systems that are smarter.