Software Engineering M.S. Program for Safety Critical System with Artificial Intelligence
Currently, AI is applied at a pace that challenges the verification of its suitability to the domains of application. A team of computer science researchers will combine their knowledge and skills to formulate a pedagogical strategy for a graduate-level program in software engineering (SE) that is developed from a foundational set of learning theories from which a set of principles is derived. These principles are used to define a set of learning techniques that are then amalgamated into methods for a comprehensive teaching and learning methodology. The graduate program will address the use of artificial intelligence (AI) in SE education, as the trending approach in 21st century application development. Academic and international industrial software development standards are incorporated into the course and program curricula to diminish the gap between classroom education and professional practices. Fundamental to this approach is the use of established learning theories for SE and AI in designing the educational modules. The outcome of this proposed research will be a graduate program in software engineering.
Authors
- Emanuel S. Grant (ORCID: https://orcid.org/0000-0002-0480-4239)
- Sicong Shao (ORCID: https://orcid.org/0000-0003-1205-3890)
Institutions
- University of North Dakota (US)
Publication Details
- Published
- 2024-12-13
- DOI
- https://doi.org/10.1109/iccc62609.2024.10942093
- Primary Topic
- Risk and Safety Analysis
- Type
- article
- Field-Weighted Citation Impact
- 0.00