Schedule
Offered: Fall On-Campus, Spring Online*
Week 1Data and statistics fundamentals I- Measurement theory
- Probability sampling
Week 2Data and statistics fundamentals II- Data visualization
- Data mining
Week 3Project performance data and descriptive analytics I- Key performance indicators
- Earned value management
- Expert opinion elicitation
- Expert panels and voting
Week 4Project performance data and descriptive analytics II- Measuring intangibles
- Government data and analysis
Week 5Bayesian methods and predictive analytics I- Bayesian theory
- Bayes factors and the weight of evidence
Week 6Bayesian methods and predictive analytics II- Markov Chain Monte Carlo
- Predictive modeling
- Textural analysis and natural language processing
Week 7Prescriptive analytics I- Decision engineering
- Bidding theory
Week 8Prescriptive analytics II
*All course content, including schedule, topics, and books are subject to change semester-to-semester. Course costs are dependent on students' individual situations, including but not limited to, online vs on-campus enrollment, in-state vs out-of-state enrollment, and scholarships.
Not all books on this page may be required readings and additional readings may be assigned. Please check the UMD Schedule of Classes for most up to date semester offerings. Instructors give students specific semester details once they are enrolled.