{"id":40362,"date":"2025-10-08T08:06:11","date_gmt":"2025-10-08T08:06:11","guid":{"rendered":"https:\/\/sode-edu.in\/?p=40362"},"modified":"2025-11-03T08:10:45","modified_gmt":"2025-11-03T08:10:45","slug":"day-3-report-aicte-atal-faculty-development-programme-by-mba-department","status":"publish","type":"post","link":"https:\/\/sode-edu.in\/smvitm\/news-2\/news\/day-3-report-aicte-atal-faculty-development-programme-by-mba-department\/","title":{"rendered":"Day 3 Report \u2013 AICTE-ATAL Faculty Development Programme by MBA Department"},"content":{"rendered":"<p data-start=\"261\" data-end=\"595\"><img loading=\"lazy\" decoding=\"async\" class=\"wp-image-40363 alignleft\" src=\"https:\/\/sode-edu.in\/wp-content\/uploads\/2025\/11\/FDP-session1-day-3-2.webp\" alt=\"\" width=\"422\" height=\"316\" srcset=\"https:\/\/sode-edu.in\/smvitm\/wp-content\/uploads\/2025\/11\/FDP-session1-day-3-2.webp 1280w, https:\/\/sode-edu.in\/smvitm\/wp-content\/uploads\/2025\/11\/FDP-session1-day-3-2-300x225.webp 300w, https:\/\/sode-edu.in\/smvitm\/wp-content\/uploads\/2025\/11\/FDP-session1-day-3-2-1024x768.webp 1024w, https:\/\/sode-edu.in\/smvitm\/wp-content\/uploads\/2025\/11\/FDP-session1-day-3-2-768x576.webp 768w\" sizes=\"auto, (max-width: 422px) 100vw, 422px\" \/>As part of the ongoing <strong data-start=\"284\" data-end=\"334\">AICTE-ATAL Faculty Development Programme (FDP)<\/strong> on <em data-start=\"338\" data-end=\"387\">\u201cAnalytics and Modelling for Business Research\u201d<\/em>, organized by the <strong data-start=\"406\" data-end=\"447\">Department of Business Administration<\/strong>, <strong data-start=\"449\" data-end=\"531\">Shri Madhwa Vadiraja Institute of Technology and Management (SMVITM), Bantakal<\/strong>, two expert sessions were held on <strong data-start=\"566\" data-end=\"592\">Day 3 (8 October 2025)<\/strong>.<\/p>\n<h3 data-start=\"602\" data-end=\"678\"><strong data-start=\"606\" data-end=\"676\">Session 1: Exploring Analytics and Modelling for Business Research<\/strong><\/h3>\n<p data-start=\"679\" data-end=\"839\"><strong data-start=\"679\" data-end=\"691\">Speaker:<\/strong> <em data-start=\"692\" data-end=\"713\">Dr. Kartikeya Bolar<\/em>, Associate Professor and Chairperson (Information Systems and Analytics), TAPMI, Manipal<br data-start=\"802\" data-end=\"805\" \/><strong data-start=\"805\" data-end=\"814\">Time:<\/strong> 9:30 a.m. \u2013 12:30 p.m.<\/p>\n<p data-start=\"841\" data-end=\"1154\">The first session was conducted by <strong data-start=\"876\" data-end=\"899\">Dr. Kartikeya Bolar<\/strong>, who shared his expertise on <em data-start=\"929\" data-end=\"979\">\u201cAnalytics and Modelling for Business Research.\u201d<\/em> With over 15 years of academic and research experience, he provided participants with a deep understanding of the role of analytics in enhancing business research outcomes.<\/p>\n<p data-start=\"1156\" data-end=\"1522\">Dr. Bolar emphasized the importance of integrating data-driven insights with theoretical frameworks to facilitate effective decision-making. The session covered key topics such as <strong data-start=\"1336\" data-end=\"1375\">Structural Equation Modelling (SEM)<\/strong> and the fundamentals of <strong data-start=\"1400\" data-end=\"1424\">Predictive Analytics<\/strong>, offering a structured pathway for researchers to adopt analytical approaches in their studies.<\/p>\n<p data-start=\"1524\" data-end=\"1859\">He also introduced various analytical tools useful in academic research and offered practical guidance on overcoming methodological challenges commonly faced by researchers. His blend of theoretical clarity and hands-on demonstration helped participants gain valuable insights into applying analytics for impactful business research.<\/p>\n<p data-start=\"1524\" data-end=\"1859\">\n<h3 data-start=\"1866\" data-end=\"1948\"><strong data-start=\"1870\" data-end=\"1946\">Session 2: Building Financial Modelling and Machine Learning Foundations<\/strong><\/h3>\n<p data-start=\"1949\" data-end=\"2064\"><strong data-start=\"1949\" data-end=\"1961\">Speaker:<\/strong> <em data-start=\"1962\" data-end=\"1981\">Mr. Praveen Kumar<\/em>, Software Engineer II, J.P. Morgan Chase &amp; Co.<br data-start=\"2028\" data-end=\"2031\" \/><strong data-start=\"2031\" data-end=\"2040\">Time:<\/strong> 2:00 p.m. \u2013 5:00 p.m.<\/p>\n<p data-start=\"2066\" data-end=\"2378\">The second session, led by <strong data-start=\"2093\" data-end=\"2114\">Mr. Praveen Kumar<\/strong>, focused on <em data-start=\"2127\" data-end=\"2172\">\u201cFinancial Modelling and Machine Learning.\u201d<\/em> Drawing upon his decade-long industry experience, Mr. Kumar explained how financial modelling integrates with modern data analytics and machine learning to aid informed business and investment decisions.<\/p>\n<p data-start=\"2380\" data-end=\"2743\">He began with a clear introduction to <strong data-start=\"2418\" data-end=\"2443\">Machine Learning (ML)<\/strong> concepts, explaining data types and their real-world relevance in financial contexts. Participants were also introduced to platforms such as <strong data-start=\"2585\" data-end=\"2595\">Kaggle<\/strong> and <strong data-start=\"2600\" data-end=\"2610\">GitHub<\/strong>, learning how these can be leveraged for <strong data-start=\"2652\" data-end=\"2678\">collaborative research<\/strong>, <strong data-start=\"2680\" data-end=\"2696\">data sharing<\/strong>, and <strong data-start=\"2702\" data-end=\"2727\">continuous upskilling<\/strong> in analytics.<\/p>\n<p data-start=\"2745\" data-end=\"3023\">Mr. Kumar\u2019s practical insights and relatable examples effectively bridged the gap between academic learning and real-world application, providing participants with a solid foundation to explore financial modelling and machine learning in business research and decision-making.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>As part of the ongoing AICTE-ATAL Faculty Development Programme (FDP) on \u201cAnalytics and Modelling for Business Research\u201d, organized by the Department of Business Administration, Shri Madhwa Vadiraja Institute of Technology and Management (SMVITM), Bantakal, two expert sessions were held on Day 3 (8 October 2025). Session 1: Exploring Analytics and Modelling for Business Research Speaker:<\/p>\n","protected":false},"author":1,"featured_media":40363,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[58,33,325,59],"tags":[],"class_list":["post-40362","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-gallery","category-news","category-mba_news","category-photos"],"acf":[],"aioseo_notices":[],"_links":{"self":[{"href":"https:\/\/sode-edu.in\/smvitm\/wp-json\/wp\/v2\/posts\/40362","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/sode-edu.in\/smvitm\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/sode-edu.in\/smvitm\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/sode-edu.in\/smvitm\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/sode-edu.in\/smvitm\/wp-json\/wp\/v2\/comments?post=40362"}],"version-history":[{"count":1,"href":"https:\/\/sode-edu.in\/smvitm\/wp-json\/wp\/v2\/posts\/40362\/revisions"}],"predecessor-version":[{"id":40364,"href":"https:\/\/sode-edu.in\/smvitm\/wp-json\/wp\/v2\/posts\/40362\/revisions\/40364"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/sode-edu.in\/smvitm\/wp-json\/wp\/v2\/media\/40363"}],"wp:attachment":[{"href":"https:\/\/sode-edu.in\/smvitm\/wp-json\/wp\/v2\/media?parent=40362"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/sode-edu.in\/smvitm\/wp-json\/wp\/v2\/categories?post=40362"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/sode-edu.in\/smvitm\/wp-json\/wp\/v2\/tags?post=40362"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}