{"id":13803,"date":"2025-03-20T04:40:14","date_gmt":"2025-03-20T04:40:14","guid":{"rendered":"https:\/\/bvcoend.ac.in\/?page_id=13803"},"modified":"2026-03-24T04:04:12","modified_gmt":"2026-03-24T04:04:12","slug":"probability-statistics-linear-programming-labece","status":"publish","type":"page","link":"https:\/\/bvcoend.ac.in\/index.php\/probability-statistics-linear-programming-labece\/","title":{"rendered":"Probability Statistics Linear Programming 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

The Probability, Statistics, and Linear Programming (PSLP) Lab serves as a specialized educational facility where students immerse themselves in applying core mathematical theories\u2014such as probability distributions, statistical analysis, and optimization techniques to solve tangible real-world problems. Equipped with cutting-edge computational tools like statistical software (e.g., R, Python, MATLAB), data visualization platforms, and linear programming solvers, it transforms abstract classroom concepts into hands-on, data-driven decision-making skills.<\/span><\/p>\n

Course Objectives <\/strong><\/span><\/p>\n\n\n\n\n\n\n
COB-1<\/span><\/td>\nTo impart knowledge of probability theory and statistical distributions using computational tools<\/span><\/td>\n<\/tr>\n
COB-2<\/span><\/td>\nTo develop skills in data analysis, regression modelling and goodness-of-fit testing.<\/span><\/td>\n<\/tr>\n
COB-3<\/span><\/td>\nTo introduce optimization techniques and linear programming methods for real world problems.<\/span><\/td>\n<\/tr>\n
COB-4<\/span><\/td>\nTo enhance problem-solving ability using MATLAB for scientific and engineering applications.<\/span><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\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
BS252.1<\/span><\/td>\nAbility to apply programming concepts to probability and statistical distributions<\/span><\/td>\nL1, L2, L3<\/span><\/td>\n<\/tr>\n
BS252.2<\/span><\/td>\nAbility to analyze and fit probability distributions using MATLAB<\/span><\/td>\nL3, L4<\/span><\/td>\n<\/tr>\n
BS252.3<\/span><\/td>\nAbility to implement regression techniques and analyze goodness of fit<\/span><\/td>\nL4, L5<\/span><\/td>\n<\/tr>\n
BS252.4<\/span><\/td>\nAbility to solve linear programming and optimization problems<\/span><\/td>\nL4, L5, L6<\/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
BS252.1<\/span><\/td>\n–<\/span><\/td>\n3<\/span><\/td>\n1<\/span><\/td>\n1<\/span><\/td>\n1<\/span><\/td>\n–<\/span><\/td>\n–<\/span><\/td>\n–<\/span><\/td>\n–<\/span><\/td>\n–<\/span><\/td>\n1<\/span><\/td>\n2<\/span><\/td>\n<\/td>\n<\/td>\n<\/tr>\n
BS252.2<\/span><\/td>\n–<\/span><\/td>\n3<\/span><\/td>\n1<\/span><\/td>\n1<\/span><\/td>\n1<\/span><\/td>\n–<\/span><\/td>\n–<\/span><\/td>\n–<\/span><\/td>\n–<\/span><\/td>\n–<\/span><\/td>\n1<\/span><\/td>\n2<\/span><\/td>\n<\/td>\n<\/td>\n<\/tr>\n
BS252.3<\/span><\/td>\n–<\/span><\/td>\n3<\/span><\/td>\n2<\/span><\/td>\n2<\/span><\/td>\n1<\/span><\/td>\n–<\/span><\/td>\n–<\/span><\/td>\n–<\/span><\/td>\n–<\/span><\/td>\n–<\/span><\/td>\n2<\/span><\/td>\n2<\/span><\/td>\n<\/td>\n<\/td>\n<\/tr>\n
BS252.4<\/span><\/td>\n–<\/span><\/td>\n3<\/span><\/td>\n3<\/span><\/td>\n3<\/span><\/td>\n1<\/span><\/td>\n–<\/span><\/td>\n–<\/span><\/td>\n–<\/span><\/td>\n–<\/span><\/td>\n–<\/span><\/td>\n2<\/span><\/td>\n2<\/span><\/td>\n<\/td>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

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

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>\nWindows<\/span><\/td>\n11<\/span><\/td>\n<\/tr>\n
2.<\/span><\/td>\nMATLAB<\/span><\/td>\nR2024B<\/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) , 13th<\/sup> Gen,14900,\u00a0 RAM-32GB<\/span><\/td>\n24<\/span><\/td>\n<\/tr>\n
2.\u00a0\u00a0\u00a0\u00a0\u00a0 \u00a0<\/span><\/td>\nPrinter<\/span><\/td>\nHP Laser Jet M-1005 MFP<\/span><\/td>\n01<\/span><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

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