{"id":13773,"date":"2025-03-20T04:16:05","date_gmt":"2025-03-20T04:16:05","guid":{"rendered":"https:\/\/bvcoend.ac.in\/?page_id=13773"},"modified":"2026-03-30T05:14:12","modified_gmt":"2026-03-30T05:14:12","slug":"statistics-statistical-modelling-data-analytics-labece","status":"publish","type":"page","link":"https:\/\/bvcoend.ac.in\/index.php\/statistics-statistical-modelling-data-analytics-labece\/","title":{"rendered":"Statistics, Statistical Modelling & Data Analytics Lab(ECE)"},"content":{"rendered":"[vc_row][vc_column width=”1\/4″][vc_wp_custommenu title=”Imp Links” nav_menu=”73″][\/vc_column][vc_column width=”3\/4″][vc_column_text]Introduction<\/strong><\/span><\/p>\n

In modern engineering education, data-driven decision-making and problem-solving have become essential skills. As a result, the integration of Statistics, Statistical Modelling, and Data Analytics<\/strong> into engineering curricula has gained significant importance. These tools help engineers analyze complex systems, make informed decisions, optimize processes, and predict outcomes. The lab component of this subject provides students with practical exposure to the theories and methods used in real-world applications.<\/span><\/p>\n

Course Objectives <\/strong><\/span><\/p>\n\n\n\n\n\n\n
COB-1<\/span><\/td>\nTo impart basic knowledge about statistics, visualisation, and probability.<\/span><\/p>\n

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COB-2<\/span><\/td>\nTo impart basic knowledge about how to implement regression analysis and results.<\/span><\/p>\n

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COB-3<\/span><\/td>\nTo impart basic knowledge about how to describe classes of open and closed sets of R, concept of compactness describe metric space.<\/span><\/p>\n

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COB-4<\/span><\/td>\nTo impart basic knowledge about how to apply eigen value, eigen vectors.<\/span><\/p>\n

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Course Outcomes <\/strong><\/span><\/p>\n\n\n\n\n\n\n\n
CO<\/strong><\/span><\/td>\nStatement<\/strong><\/span><\/td>\nBloom\u2019s Level<\/strong><\/span><\/td>\n<\/tr>\n
DA-304P.1<\/span><\/td>\nAbility to learn and understand the basic concepts about Statistics, visualisation and probability.<\/span><\/td>\nUnderstand<\/span><\/td>\n<\/tr>\n
DA-304P.2<\/span><\/td>\nAbility to implement regression analysis and interpret the results. Be able to fit a model to data and comment on the adequacy of the model.<\/span><\/td>\nUnderstand<\/span><\/td>\n<\/tr>\n
DA-304P.3<\/span><\/td>\nAbility to describe classes of open and closed sets of R, concept of compactness Describe Metric space \u2010 Metric in Rn.<\/span><\/td>\nEvaluate, Analyze<\/span><\/td>\n<\/tr>\n
DA-304P.4<\/span><\/td>\nAbility to impart basic knowledge about how to apply Eigen values, Eigen vectors.<\/span><\/td>\nApply<\/span><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

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CO-PO-PSO Mapping <\/strong><\/span><\/p>\n\n\n\n\n\n\n\n
CO\/PO<\/strong><\/span><\/td>\nPO1<\/strong><\/span><\/td>\nPO2<\/strong><\/span><\/td>\nPO3<\/strong><\/span><\/td>\nPO4<\/strong><\/span><\/td>\nPO5<\/strong><\/span><\/td>\nPO6<\/strong><\/span><\/td>\nPO7<\/strong><\/span><\/td>\nPO8<\/strong><\/span><\/td>\nPO9<\/strong><\/span><\/td>\nPO10<\/strong><\/span><\/td>\nPO11<\/strong><\/span><\/td>\nPO12<\/strong><\/span><\/td>\nPSO1<\/strong><\/span><\/td>\nPSO2<\/strong><\/span><\/td>\n<\/tr>\n
DA-304P.1<\/strong><\/span><\/td>\n3<\/span><\/td>\n3<\/span><\/td>\n3<\/span><\/td>\n3<\/span><\/td>\n3<\/span><\/td>\n0<\/span><\/td>\n0<\/span><\/td>\n1<\/span><\/td>\n2<\/span><\/td>\n0<\/span><\/td>\n0<\/span><\/td>\n3<\/span><\/td>\n3<\/span><\/td>\n2<\/span><\/td>\n<\/tr>\n
DA-304P.2<\/strong><\/span><\/td>\n3<\/span><\/td>\n3<\/span><\/td>\n3<\/span><\/td>\n3<\/span><\/td>\n3<\/span><\/td>\n0<\/span><\/td>\n0<\/span><\/td>\n1<\/span><\/td>\n2<\/span><\/td>\n0<\/span><\/td>\n0<\/span><\/td>\n3<\/span><\/td>\n3<\/span><\/td>\n2<\/span><\/td>\n<\/tr>\n
DA-304P.3<\/strong><\/span><\/td>\n3<\/span><\/td>\n3<\/span><\/td>\n3<\/span><\/td>\n3<\/span><\/td>\n3<\/span><\/td>\n0<\/span><\/td>\n0<\/span><\/td>\n1<\/span><\/td>\n2<\/span><\/td>\n0<\/span><\/td>\n0<\/span><\/td>\n3<\/span><\/td>\n3<\/span><\/td>\n2<\/span><\/td>\n<\/tr>\n
DA-304P.4<\/strong><\/span><\/td>\n3<\/span><\/td>\n3<\/span><\/td>\n3<\/span><\/td>\n3<\/span><\/td>\n3<\/span><\/td>\n0<\/span><\/td>\n0<\/span><\/td>\n1<\/span><\/td>\n2<\/span><\/td>\n0<\/span><\/td>\n0<\/span><\/td>\n3<\/span><\/td>\n3<\/span><\/td>\n2<\/span><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

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Facilities<\/strong><\/span><\/p>\n\n\n\n\n\n\n
Operating System \/Software<\/strong><\/span><\/td>\n<\/tr>\n
Sr. No.<\/span><\/td>\nName<\/strong><\/span><\/td>\nVersion<\/strong><\/span><\/td>\n<\/tr>\n
1.<\/span><\/td>\nSCILAB and R Studio<\/span><\/td>\n<\/td>\n<\/tr>\n
2.<\/span><\/td>\nCST<\/span><\/td>\nNS 3.28.1<\/span><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

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Hardware <\/strong><\/span><\/td>\n<\/tr>\n
Sr.No.<\/strong><\/span><\/td>\nEquipment Name<\/strong><\/span><\/td>\nSpecification<\/strong><\/span><\/td>\nQuantity<\/strong><\/span><\/td>\n<\/tr>\n
1.\u00a0\u00a0\u00a0\u00a0\u00a0 \u00a0<\/span><\/td>\nComputer<\/span><\/td>\nIntel Core i9, 32 GB RAM<\/span><\/td>\n25<\/span><\/td>\n<\/tr>\n
2.\u00a0\u00a0\u00a0\u00a0\u00a0 \u00a0<\/span><\/td>\nPrinter<\/span><\/td>\nHP Laser Jet 1020 Plus<\/span><\/td>\n01<\/span><\/td>\n<\/tr>\n
3.\u00a0\u00a0\u00a0\u00a0\u00a0 \u00a0<\/span><\/td>\nWhite Board<\/span><\/td>\nStandard<\/span><\/td>\n01<\/span><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

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Staff<\/strong><\/span><\/p>\n

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