634 Nedderman Hall
Box 19019
416 Yates Street
Arlington, TX 76019-0019
Artificial Intelligence
Engineering AI
As a college of engineering, we must ensure that our students are prepared for the realities of the workforce they will enter after graduation. Artificial intelligence is widespread, and the possibilities for its use are changing quickly.
Intentional Adoption of Artificial Intelligence
We choose to embrace AI, recognizing its potential to support learning and innovation, but also acknowledge its limitations and the importance of human involvement in AI use. We are incorporating ethical and practical training into our classrooms and labs to equip our students with the knowledge and skills to use this evolving technology responsibly, and to prepare them for a future where AI will be a significant part of many engineering workspaces.
Teaching and Learning With AI
Through classroom and laboratory experiences, students will learn to use AI critically, ethically, and transparently; evaluate its outputs to ensure that they are real and true; and consider issues of bias, privacy, security, intellectual property and accountability. Our goal is to prepare graduates who can apply AI responsibly while upholding the rigor and integrity of the engineering profession. Examples below:
ENGR 2303:
AI Applications for Engineering
This course introduces undergraduate engineering students to the fundamentals of Artificial Intelligence (AI). The curriculum emphasizes practical engineering applications, alongside critical discussions on ethics and societal responsibility. Students will gain exposure to the foundational mechanisms of AI, its various types and limitations, as well as crucial aspects of transparency, privacy, and system reliability.
Throughout the course, we will explore examples of AI deployment across different engineering sectors and analyze its implications for design, production, and everyday practice.
CE 1111:
Introduction to AI for Civil Engineers
The course is intended to introduce civil/architecture/construction engineering students to the fundamentals of AI and GenAI with an emphasis on applications relevant to engineering including those related to ethics and societal responsibility, as well as exposure to general AI tools. The course provides exposure to the foundations of AI, types and limitations, aspects of transparency, privacy and reliability/robustness.
The course provides examples of how AI is being used in different fields/sectors and its implications on design, production, and practice, and encourages students to think critically about the use of AI and its impact on their education, society, and the profession.
Artificial Intelligence Certificates
The Computer Science and Engineering Department offers a Graduate Certificate in Artificial Intelligence and an Undergraduate Certificate in Artificial Intelligence. The undergraduate certificate must be earned with the bachelors degree. The graduate certificate can be earned without pursuit of a graduate degree.
Undergraduate Short Course
AI for Engineering Applications short certificate course for first- and second-year students, to help students understand ground rules, restraints and opportunities that can make AI a force-multiplier in the profession
Forging New Knowledge
Universities exist not just to teach and prepare students for future careers, but to contribute to the global overall knowledge on a particular topic. UTA researchers are using AI in their research and making discoveries that could change how it is applied to the world around us.
AI Resources on Campus
The University has published guidelines and resources for faculty and researchers at https://ai.uta.edu/guidelines/. Students must carefully read the syllabus for each course, as AI policies are determined by individual instructors based on specific learning goals, course objectives and teaching methods. Because the skills being developed vary from class to class, AI guidelines will differ across the curriculum to best support learning in each individual course.