OPMA 3310 / 5364 Midterm Review Sheet
Approximately 40 multiple-choice questions. You may bring a calculator, one 4 inch by 6 inch “note”
card, a standard normal table, and a scantron. Study all material presented and discussed in class,
including the powerpoint slides, the workshop, cases, and class examples/applications. Study and be
able to work all the homework problems and class example problems/applications.
Slides-0 Introduction
Overview of project management and the course
PMI
Slides-1 The World of Project Management
Basic ideas about project management
Project goals and objectives
Project life cycles, common project life cycle curves, implications
Stages or process groups
Project selection methods (know the details)
Handling Risks and uncertainties in project selection (know the details)
Slides-2 The Manager, Organization, & Team
Roles, skills, responsibilities of the project manager
win-win-win negotiation
basic ideas regarding the 12 rules for project managers
meetings
PMI
Project organization structures
The project team, HR plan, acquiring, development, and management
Slides-3 Project Planning
Basic ideas regarding the project planning process
Contents of a project plan
Scope
Action Plan, WBS, Mind Mapping, Linear Responsibility Chart
Ideas regarding the project launch meeting
Slides-4 Budgeting the Project
Basic ideas about project budgeting
Approaches, tools & techniques
Probability distributions and their application in project budgeting (to model risk/uncertainty)
Expected value
Controlling costs and use of metrics (know this well)
Basic ideas about each probability distribution
Slides-5 Project Scheduling
The big picture
Some important terms is scheduling and their use
AON network diagrams (details)
AOA network diagrams (general idea)
Determining target project completion times
Drawing and understanding AON diagrams
Slack, Critical activities
Network paths and the critical path(s)
Fixed activity times/durations (deterministic)
Statistical approach when activity times/durations are uncertain
- calculation of expected task durations, variance, and standard deviation
- understanding Z scores and being able to determine path and project probabilities of completing
within certain time frames (D)
Monte Carlo simulation approach when activity times/durations are uncertain
FoxMeyer Case discussion
DynaTech Equipment Corp. case
MSP
Crystal Ball and Monte Carlo Simulation