Project Management: Cost & Schedule Monitoring using EVM Course Syllabus
Full curriculum breakdown — modules, lessons, estimated time, and outcomes.
Overview (80-120 words) describing structure and time commitment.
Module 1: Introduction to Earned Value Management
Estimated time: 0.5 hours
- What is Earned Value Management (EVM)?
- Why EVM is essential in project control
- Benefits of using EVM in project monitoring
- Limitations and challenges of EVM implementation
Module 2: Key Concepts & Terminology
Estimated time: 0.75 hours
- Understanding Planned Value (PV)
- Defining Earned Value (EV)
- Measuring Actual Cost (AC)
- Introduction to performance measurement baselines
Module 3: EVM Formulas & Metrics
Estimated time: 1 hour
- Calculating Cost Variance (CV) and Schedule Variance (SV)
- Interpreting Cost Performance Index (CPI)
- Understanding Schedule Performance Index (SPI)
- Explaining Budget at Completion (BAC), Estimate at Completion (EAC), and Estimate to Complete (ETC)
Module 4: EVM with Examples & Case Scenarios
Estimated time: 1 hour
- Step-by-step EVM calculations using real project data
- Analyzing project cost and schedule performance
- Interpreting EVM metrics in context
- Case studies on identifying project health and risks
Module 5: Forecasting Project Performance
Estimated time: 0.75 hours
- Using EVM for cost forecasting
- Predicting final project duration
- Techniques to prevent cost and schedule overruns
- Taking corrective actions based on EVM insights
Module 6: EVM Templates & Practical Applications
Estimated time: 0.5 hours
- Using EVM tracking spreadsheets
- Applying reporting templates for project status
- Implementing EVM in small to large-scale projects
Prerequisites
- Familiarity with basic project management concepts
- Basic understanding of project schedules and budgets
- Access to spreadsheet software for practice exercises
What You'll Be Able to Do After
- Understand the fundamentals of Earned Value Management and its role in project control
- Calculate and interpret key EVM metrics including CV, SV, CPI, and SPI
- Apply EVM techniques to analyze real-world project performance
- Use forecasting methods to predict project outcomes and recommend actions
- Utilize downloadable EVM templates to track and report project progress effectively