Quantitative Techniques – BBA-II

Lecture No. Description Watch Videos
Lecture 1 Statistics: Definition, Importance & Limitation Lecture by A,    Lecture by B,    Lecture by C,    Lecture by D
Lecture 2 Collection of data and formation of frequency distribution Lecture by A,    Lecture by B,    Lecture by C,    Lecture by D
Lecture 3 Graphic presentation of Frequency distribution – Graphics, Bars, Histogram Lecture by A,    Lecture by B,    Lecture by C,    Lecture by D
Lecture 4 Measure of central tendency – Mean Lecture by A,    Lecture by B,    Lecture by C,    Lecture by D
Lecture 5 Median, Mode Lecture by A,    Lecture by B,    Lecture by C,    Lecture by D
Lecture 6 Partition values – quartiles, deciles and percentiles Lecture by A,    Lecture by B,    Lecture by C,    Lecture by D
Lecture 7 Measures of variation – Range, IQR Lecture by A,    Lecture by B,    Lecture by C,    Lecture by D
Lecture 8 quartile, deciles and percentiles Lecture by A,    Lecture by B,    Lecture by C,    Lecture by D
Lecture 9 Mean Deviation, quartile deviation Lecture by A,    Lecture by B,    Lecture by C,    Lecture by D
Lecture 10 standard deviation, Lorenz Curve Lecture by A,    Lecture by B,    Lecture by C,    Lecture by D
Lecture 11 Measure of Variation – Skewness Lecture by A,    Lecture by B,    Lecture by C,    Lecture by D
Lecture 12 Correlation Analysis: – Concept Lecture by A,    Lecture by B,    Lecture by C,    Lecture by D
Lecture 13 Correlation Coefficient Lecture by A,    Lecture by B,    Lecture by C,    Lecture by D
Lecture 14 Assumptions of Correlation Analysis Lecture by A,    Lecture by B,    Lecture by C,    Lecture by D
Lecture 15 Coefficients of Determination and Correlation Lecture by A,    Lecture by B,    Lecture by C,    Lecture by D
Lecture 16 Measurement of Correlation- Karl Pearson’s Method Lecture by A,    Lecture by B,    Lecture by C,    Lecture by D
Lecture 17 Spearman’s Rank Correlation Lecture by A,    Lecture by B,    Lecture by C,    Lecture by D
Lecture 18 Concurrent Deviation the Correlation Coefficient Lecture by A,    Lecture by B,    Lecture by C,    Lecture by D
Lecture 19 Pitfalls and Limitations Associated with Regression Analysis-1 Lecture by A,    Lecture by B,    Lecture by C,    Lecture by D
Lecture 20 Pitfalls and Limitations Associated with Correlation Analysis-2 Lecture by A,    Lecture by B,    Lecture by C,    Lecture by D
Lecture 21 Real world Application using IT Tools Lecture by A,    Lecture by B,    Lecture by C,    Lecture by D
Lecture 22 Linear Programming – Concept and Assumption. Lecture by A,    Lecture by B,    Lecture by C,    Lecture by D
Lecture 23 LP Problems: Maximization Problem Lecture by A,    Lecture by B,    Lecture by C,    Lecture by D
Lecture 24 LP – Formulation, Usage In Business Decision Making. Lecture by A,    Lecture by B,    Lecture by C,    Lecture by D
Lecture 25 LP Problems: Minimization Problem Lecture by A,    Lecture by B,    Lecture by C,    Lecture by D
Lecture 26 Linear Programming – Graphical and Simplex Method Lecture by A,    Lecture by B,    Lecture by C,    Lecture by D
Lecture 27 Maximization Problem Lecture by A,    Lecture by B,    Lecture by C,    Lecture by D
Lecture 28 Minimization Problem- Big – M Method Lecture by A,    Lecture by B,    Lecture by C,    Lecture by D
Lecture 29 Phase II Method Lecture by A,    Lecture by B,    Lecture by C,    Lecture by D
Lecture 30 Multiple Optimal Solutions, Infeasibility, Unboundedness Lecture by A,    Lecture by B,    Lecture by C,    Lecture by D
Lecture 31 Degeneracy Lecture by A,    Lecture by B,    Lecture by C,    Lecture by D
Lecture 32 Duality – Concept, Significance, Usage Lecture by A,    Lecture by B,    Lecture by C,    Lecture by D
Lecture 33 Duality Application in Business Decision Making. Lecture by A,    Lecture by B,    Lecture by C,    Lecture by D
Lecture 34 General Structure of Transportation Problem Lecture by A,    Lecture by B,    Lecture by C,    Lecture by D
Lecture 35 Transportation Problem – Introduction and Structure Lecture by A,    Lecture by B,    Lecture by C,    Lecture by D
Lecture 36 NWC Method, LCM Method Lecture by A,    Lecture by B,    Lecture by C,    Lecture by D
Lecture 37 Vogel’s Method Lecture by A,    Lecture by B,    Lecture by C,    Lecture by D
Lecture 38 Stepping Stone Method Lecture by A,    Lecture by B,    Lecture by C,    Lecture by D
Lecture 39 MODI Method Lecture by A,    Lecture by B,    Lecture by C,    Lecture by D
Lecture 40 Degeneracy of Transportation Method Lecture by A,    Lecture by B,    Lecture by C,    Lecture by D
Lecture 41 Assignment Problem: Different Methods Operations Lecture by A,    Lecture by B,    Lecture by C,    Lecture by D
Lecture 42 Scheduling: – Scheduling Problems Lecture by A,    Lecture by B,    Lecture by C,    Lecture by D
Lecture 43 Shop Floor Control, Gantt Charts Lecture by A,    Lecture by B,    Lecture by C,    Lecture by D
Lecture 44 Principles of Work Center Scheduling Lecture by A,    Lecture by B,    Lecture by C,    Lecture by D
Lecture 45 Principles of Job Shop Scheduling, Personnel Scheduling. Lecture by A,    Lecture by B,    Lecture by C,    Lecture by D