LSM 303 — Analytical Techniques in Logistics and Supply Chain Management
LSM department course · Nigerian universities
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What you'll be able to do (official learning outcomes)
develop the ability to model and solve realistic decision problems in logistics and supply chain management
make effective use of descriptive and inferential statistical techniques within the context of supply chain management
evaluate the limitations, strengths, and weaknesses of various statistical and analytical techniques
formulate and test hypotheses; and
interpret results from analysis
Course contents
Analytical techniques applied to logistics and Supply Chain Management. Laws of probability; Correlation and Regression; Modeling; Network Techniques. Hypothesis Testing; Simulation techniques; Regression analysis; Grouping Methods; and Multiple Equation Models.
Source: the Nigerian Universities Commission (NUC) Core Curriculum and Minimum Academic Standards (CCMAS). StudyOps loads this syllabus automatically when you study LSM 303.