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Analyze inventory systems with EOQ and Kanban, plan warehouse layouts and cross docking, apply logistics information systems, and select outsourcing providers and material handling technologies.
Analyze inventory systems and run warehouse operations: apply EOQ, FIFO, LIFO and average costing, then set up WMS hierarchy, receiving, and reverse logistics workflows.
Learn to run the HR cycle end to end: forecast workforce needs, source and select candidates, design training programs, and conduct performance appraisals.
Learn how intensive care units are planned and run: ICU bed capacity estimation, layout and nursing station design, multidisciplinary staffing roles, and essential life-support equipment.
Analyze organizational structures and redesign work systems: divisional and matrix models, downsizing, Total Quality Management, job enrichment, and the Hackman & Oldham model.
Apply IFRS 4 to insurance contracts: classify contracts and insurance risk, assess embedded derivatives and unbundling, run liability adequacy and impairment testing, and meet disclosure requirements.
Evaluate internal control effectiveness and audit risk: apply the audit risk model, design preventive and detective controls, and use internal audit reporting for fraud detection.
Analyze cost behavior and apply absorption, variable, job order, FIFO process and Activity-Based Costing, then use ERP, Theory of Constraints and benchmarking for strategic cost management.
Learn to evaluate creditworthiness and working capital, manage the loan lifecycle and NPAs under the SARFAESI Act, and apply KYC/AML, payments and cybersecurity practices.
Build master budgets from sales, materials, labor and overhead budgets, project proforma financial statements, and apply flexible budgeting, regression and sensitivity analysis to forecasts.
Analyze EPS dilution, cash flow statements, and liquidity and profitability ratios, then apply NPV, IRR, deferred taxes, capital structure, and working capital decisions in corporate finance.
Build CRM strategy through a case study: run observations, geo-profiling and CRM audits, apply PESTLE and SWOT, and use Sales Force, Marketing and Service Automation.
Build an LSTM-based recurrent neural network in Python to forecast Apple stock prices, covering data preprocessing, feature scaling, model training, and visual evaluation of predictions.
Learn to analyze equity derivatives: compare forwards, futures, swaps and options, read payoff structures and indices, and apply hedging, arbitrage and cost-of-carry strategies.
Apply hedge accounting for derivatives under SFAS 133: record fair value and cash flow hedges, adjust balance sheets, and interpret interest rate swap transactions in hedge funds.
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