Data Analysis & Decision Making - III
Created By
Dr. Raghu Nandan Sengupta via Swayam
- 0
- 12 weeks long
- Swayam
- English
Course Overview
This is the third part of the three part course (DADM-I, DADM-II, DADM-III) which covers "Operations Research and its tools with applications". In general Decision Analysis and Decision Making (DADM) covers three main areas which are: Multivariate Statistical Analysis with its applications, Other Decision Making Models like DEA, AHP, ANP, TOPSIS, etc., and Operations Research and its tools with applications. These three part DADM course will be more practical and application oriented rather than theoretical in nature.
INTENDED AUDIENCE: Masters in Business Administration, Masters in Economics, Masters in Statistics/Mathematics, Masters in Industrial Engineering, Masters in Operations Research/Operations Management, PhD in related fields as mentioned above
PREREQUISITES: Probability & Statistics Operations Research
INDUSTRY SUPPORT: Manufacturing industry, chemical industry, steel industry, cement industry, etc.
INTENDED AUDIENCE: Masters in Business Administration, Masters in Economics, Masters in Statistics/Mathematics, Masters in Industrial Engineering, Masters in Operations Research/Operations Management, PhD in related fields as mentioned above
PREREQUISITES: Probability & Statistics Operations Research
INDUSTRY SUPPORT: Manufacturing industry, chemical industry, steel industry, cement industry, etc.
Course Circullum
COURSE LAYOUT
Week 1: Introduction, Ideas of Optimization and ModelingWeek 2: Linear Programming (LP) and related topicsWeek 3: Simplex Method, Interior point Method and related conceptsWeek 4: Non-Linear Programming (NLP)Week 5: Goal ProgrammingWeek 6: Stochastic Programming Week 7: 0-1 Programming and other related methodsWeek 8: Polynomial OptimizationWeek 9: Reliability Based ProgrammingWeek 10: Robust OptimizationWeek 11: Other topics like Parametric programming, etcWeek 12: Multi-objective ProgrammingItem Reviews - 3
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This Course Include:
COURSE LAYOUT
Week 1: Introduction, Ideas of Optimization and ModelingWeek 2: Linear Programming (LP) and related topicsWeek 3: Simplex Method, Interior point Method and related conceptsWeek 4: Non-Linear Programming (NLP)Week 5: Goal ProgrammingWeek 6: Stochastic Programming Week 7: 0-1 Programming and other related methodsWeek 8: Polynomial OptimizationWeek 9: Reliability Based ProgrammingWeek 10: Robust OptimizationWeek 11: Other topics like Parametric programming, etcWeek 12: Multi-objective Programming- Provider:Swayam
- Certificate:Paid Certificate Available
- Language:English
- Duration:12 weeks long
- Language CC: