About this Program
College: Herbert Wertheim College of Engineering
Credits: 9
Subplan Code: ENG_GCT17
Certificates must comply with the Graduate Certificate Policy
A Graduate Certificate is an official credential granted by the University of Florida. It represents a cohesive, targeted curriculum of graduate-level coursework designed to validate specialized knowledge and skills in a specific field of study. To successfully earn and have a graduate certificate officially posted to the academic transcript, candidates must fulfill several key academic and administrative requirements:
- Admission: Secure formal acceptance into the designated certificate program.
- Course Completion: Successfully complete all approved, graduate-level coursework required by the curriculum.
- Active Enrollment: Maintain active enrollment during the academic term in which the certificate is awarded.
- Application Submission: Submit a formal graduation application to officially designate the graduate certificate credential on the transcript.
For specific prerequisite details, credit requirements, and application deadlines, students should consult directly with the academic department or unit offering the certificate.
required courses
| Code | Title | Credits |
|---|---|---|
| EML 6577 | Verification, Validation, and Uncertainty Quantification | 3 |
| Electives | 6 | |
| Total Credits | 9 | |
Approved Electives
| Code | Title | Credits |
|---|---|---|
| Software Engineering | ||
| Software Testing and Verification | ||
| Probabilistic and Stochastic Methods in Civil Engineering | ||
| Programming Language Principles | ||
| Concurrent Programming | ||
| Data Analytics and Decision Sciences | ||
| Parallel Computer Architecture | ||
| Fundamentals of Computational Fluid Dynamics | ||
| Advanced Finite Element Methods | ||
| Quantum Methods in Computational Materials Science | ||
| Error Analysis and Optimization Methodologies in Materials Research | ||
| Finite Element Analysis and Application | ||
| Numerical Simulation Techniques in Coastal and Ocean Engineering | ||
| Digital Simulation Techniques | ||
| Stochastic Modeling and Analysis | ||
| Computational Fluid Dynamics | ||
| Classical Methods in Computational Materials Science | ||
| Computational Nanomechanics and Nanomaterials |