Artificial Intelligence, Modeling and Simulation in Engineering (AIMS) Certificate Graduate Program

Artificial intelligence (AI) is a technology that mimics human intelligence to solve complex problems and perform complex tasks. Machine learning (ML) is a subfield of AI that uses statistical methods to learn from data without being explicitly programmed. Deep learning (DL) is one of the main subsets of ML and uses multi-layered neural networks to learn from data. Modeling and simulation (M&S) in engineering is a field that uses mathematical models as a basis for simulations to generate data analyzed for product and system design. M&S is a knowledge-based approach that develops models to generate data, while ML is a data-based approach that learns from data to generate models. The AIMS certificate program aims to prepare College of Engineering students with new modeling strategies that combine the approaches of AI/ML/DL and M&S to bridge the knowledge gap between them and take advantage of respective approaches in conjunction with UQ that accounts for both model and data uncertainties, allowing for analysis and design of complex products and systems.

The AIMS graduate certificate program requires a minimum of 15 semester hours (s.h.) of the following graduate coursework. To earn the certificate, the student is required to attain a minimum GPA of 3.00 in coursework specifically for the certificate. Please note that a student must have one (or more) courses left to complete or be in the process of completing their last course in order to add the certificate. Certificates cannot be awarded retroactively.

Required Courses

Students must complete at least two of the following courses as part of the certificate. 

Additional Coursework

Students select courses from the following list to reach a total of 15 s.h. of credit when combined with the two preceding required courses. Students who complete all three required courses listed in the preceding Required Courses table can count all 9 s.h. towards the 15 s.h. requirement. Students may petition to substitute other relevant graduate-level courses for the following courses with approval from the AIMS faculty advisor.

Students are strongly encouraged to participate in at least one workshop, related to Python, R, or high performance and parallel computing offered by Information Technology Services Research Services (ITS-RS), and HACKUIOWA.

Students who have one or more courses yet to complete when the certificate program is applied are allowed to count courses completed in previous recent semesters toward their certificate. This policy applies to ME:6255 Multiscale Modeling.