AI-Integrated Programs & Courses
College of Arts and Letters
Interdisciplinary Applications of Artificial Intelligence Minor and Certificate: Societal
Offered by the Department of Philosophy in the Dorothy F. Schmidt College of Arts and Letters, the program provides students with a fundamental awareness of how Artificial Intelligence (AI) operates, an understanding of how AI is utilized and comprehension of the consequences of those applications in various societal domains.
College of Business
Interdisciplinary Applications of Artificial Intelligence Minor and Certificate: Business
Offered by the Department of Information Technology and Operations Management (ITOM) in the College of Business, the program offers a business manager’s level of understanding of Artificial Intelligence and how it can be positioned to improve efficiency and effectiveness across the organization, including what is the basket of AI tools that can be used in what business problems, how to customize available AI tools for the specific organizational problem and be successful, and how to avoid caveats.
College of Engineering and Computer Science
Artificial Intelligence Minor
The minor in Artificial Intelligence (AI) is open to all undergraduate students at Florida Atlantic University. The minor is awarded upon graduation from an undergraduate program at FAU; it is not awarded independently of any degree program. The minor has two tracks: an Applications track and a Development track.
Artificial Intelligence Certificate
The program is open to students with any background. The certificate has two tracks: an Applications track and a Development track.
Interdisciplinary Applications of Artificial Intelligence Minor and Certificate: Technology
Offered by the Department of Electrical Engineering and Computer Science in the College of Engineering and Computer Science, this program requires no prior formal engineering or technical experience. It provides students with knowledge and skills in the concepts, technologies and applications of Artificial Intelligence.
College of Science
Interdisciplinary Applications of Artificial Intelligence Minor and Certificate: Scientific
Offered by the Department of Mathematics and Statistics in the Charles E. Schmidt College of Science, the program provides students, through hands-on experience, an introduction to how Artificial Intelligence impacts the analysis of scientific data to gain a better understanding of natural, physical and social phenomena.
College of Engineering and Computer Science
The Master of Science (M.S.) with Major in Artificial Intelligence provides a comprehensive curriculum, consisting of foundation and theory of artificial intelligence and elements of computer vision, data analytics and algorithms, knowledge management and reasoning, machine learning and applications.
Professional Master of Science with Major in Artificial Intelligence
The Professional Master of Science with major in Artificial Intelligence is a new self-supporting program designed for working professionals. It allows professionals to advance their careers with an accelerated graduate program and obtain an advanced degree while continuing to work. The course offering format includes evenings, weekends and online material.
College of Engineering and Computer Science
Artificial Intelligence Minor
The minor in Artificial Intelligence (AI) is open to all graduate students at Florida Atlantic University (FAU) who are not majoring in AI. The minor is awarded upon graduation from a graduate program at FAU; it is awarded in conjunction with graduate degrees.
Artificial Intelligence Certificate
This certificate program is open to students with a bachelor's degree in any academic area and who are not majoring in Artificial Intelligence. The certificate has two tracks: a Development track and an Applications track.
College of Science
Post-Baccalaureate Research Education Program in Chemistry (PREPChem) Certificate
The PREPChem certificate is intended for undergraduates who hold a recent bachelor’s degree and who have the desire to further build their knowledge and research skills to become more competitive candidates for admission to graduate school. The program requires students to take traditional graduate courses in chemistry (9 credits) and undergraduate/graduate courses in the field of artificial intelligence (AI) (6 credits). AI is being used more frequently by chemists to perform various tasks and is becoming an integral part of modern drug discovery processes.
Biological and Physical Science to Artificial Intelligence
BACHELOR OF ARTS (B.A.) OR BACHELOR OF SCIENCE (B.S.) TO MASTER OF SCIENCE (M.S.)The Wilkes Honors College (WHC) offers the following combined programs in partnership with the College of Engineering and Computer Science and the Charles E. Schmidt College of Science.
Nursing to Artificial Intelligence
BACHELOR OF SCIENCE IN NURSING (B.S.N.) TO MASTER OF SCIENCE (M.S.)The Christine E. Lynn College of Nursing and the College of Engineering and Computer Science (COECS) offer a combined Bachelor of Science in Nursing (B.S.N.) and Master of Science (M.S.) with Major in Artificial Intelligence degree program.
Computer Engineering to Artificial Intelligence
BACHELOR OF SCIENCE IN COMPUTER ENGINEERING (B.S.C.E.) TO MASTER OF SCIENCE (M.S.) The College of Engineering and Computer Science offers a combined Bachelor of Science in Computer Engineering (B.S.C.E.) to Master of Science in Artificial Intelligence (M.S.A.I.) program.
Computer Science to Artificial Intelligence
BACHELOR OF SCIENCE IN COMPUTER SCIENCE (B.S.C.S.) TO MASTER OF SCIENCE (M.S.) The College of Engineering and Computer Science offers a Bachelor of Science in Computer Science (B.S.C.S.) to Master of Science in Artificial Intelligence (M.S.A.I.) program.
Electrical Engineering to Artificial Intelligence
BACHELOR OF SCIENCE IN ELECTRICAL ENGINEERING (B.S.E.E.) TO MASTER OF SCIENCE (M.S.)The department of Electrical Engineering and Computer Science offers a Bachelor of Science in Electrical Engineering/Master of Science in Artificial Intelligence degree program.
Data Science and Analytics to Artificial Intelligence
BACHELOR OF SCIENCE (B.S.) TO MASTER OF SCIENCE (M.S.) The department of Electrical Engineering and Computer Science offers a combined B.S. in Data Science and Analytics: Data Science and Engineering concentration to M.S. in Artificial Intelligence.
Mechanical Engineering to Artificial Intelligence
BACHELOR OF SCIENCE IN MECHANICAL ENGINEERING (B.S.M.E.) TO MASTER OF SCIENCE (M.S.) The College of Engineering and Computer Science (COECS) offers a combined Bachelor of Science in Mechanical Engineering to Master of Science in Artificial Intelligence degree program.
See below a list of courses dealing with the topic of AI.
| Course # | Title | Description |
|---|---|---|
| ACG 6465 | Accounting for E-Commerce | As Accounting is the language of business, e-Commerce is the driver of business. Consequently, all accounting work involves e-Commerce in some way. So don’t let e-Commerce be the missing ingredient in your accounting education. This course ties together accounting and its driving elements in the areas of technology, data analytics, artificial intelligence and information systems. |
| CAP 2603 | Applications of Artificial Intelligence | This course provides an overview of the field of artificial intelligence (AI) with emphasis on contemporary techniques and applications of AI in many areas, including computer vision, natural language processing and medical diagnosis. The course broadens the participants' view of the field of AI, allowing a better understanding of its foundations, risks, applications and implications. |
| CAP 4623 | Trustworthy Artificial Intelligence | Topics include preliminary materials security, trust and AI; human agency and oversight; technical robustness and safety; privacy and data governance; transparency; diversity, non-discrimination and fairness; societal and environmental well-being; and accountability. |
| CAP 4630 | Introduction to Artificial Intelligence | A broad introduction to the core concepts of artificial intelligence, including intelligent agents, problem solving by search, knowledge representation and reasoning and learning from examples. Programming in Python and possibly other software environments. |
| CAP 5615 | Introduction to Neural Networks | Brief introduction to biological neural systems. Models of neural mechanisms of learning and memory. Neural net applications to image processing, pattern recognition, machine learning, optimization problems, and robotics. Hardware implementation issues. |
| CAP 5625 | Computational Foundations of Artificial Intelligence | This course covers the mathematical and programming foundations of artificial intelligence (AI) and machine learning (ML) using contemporary programming languages and tools. As a result, students develop familiarity with mathematical methods (and associated notation, software packages and libraries) that are widely used in AI and ML projects and literature. |
| CAP 5768 | Introduction to Data Science | This course surveys foundational topics in data science and reinforces practical programming skills in the context of data analytics. Students learn fundamentals of computational data analysis using statistics and machine learning and gain experience working with data sets from a variety of domains. |
| CAP 5937 | Special Topics in Artificial Intelligence | Selected topics in artificial intelligence. |
| CAP 6610 | Applied Machine Learning | This course covers theoretical foundations and tools for machine learning and data analytics. The class introduces major machine learning topics, such as supervised learning, unsupervised learning and numeric predictive models. Case studies include application of machine learning to different domains. |
| CAP 6618 | Machine Learning for Computer Vision | Introduction to machine learning techniques and their application in computer vision problems. Discusses image processing principles, techniques and algorithms. Use of MATLAB for lab assignments and projects. |
| CAP 6619 | Deep Learning | This course teaches students basic concepts of deep learning with applications in computer science, engineering, business and other areas. The class covers major topics including math preliminaries, machine learning basics, deep forward networks, convolution networks, autoencoders, representation learning networks and their implementations and applications. |
| CAP 6635 | Artificial Intelligence | The basic concepts, techniques, and applications of artificial intelligence: representations, search strategies, control, communication, deduction, agents, evolutionary computation and machine learning. |
| CAP 6640 | Natural Language Processing | This course provides students with both theory and applications of natural language processing. It includes relevant background material in linguistics, mathematics, probability and computer science. Some of the topics covered in the class are text similarity, part-of-speech tagging, parsing, semantics, question answering, sentiment analysis and text summarization. |
| CAP 6673 | Data Mining and Machine Learning | Course deals with the principles of data mining and machine learning. Topics to be covered include machine learning methods, knowledge discovery and representation, classification and prediction models. |
| CAP 6683 | Artificial Intelligence in Medicine and Healthcare | This course introduces the underlying concepts, methods and potential of intelligent systems in medicine. It explores the application of artificial intelligence (AI) and machine learning methods, techniques and tools to specific areas in medicine and healthcare. As a research-and-project-based course, student have opportunities to identify and specialize in particular AI methods, clinical/healthcare applications and relevant tools. |
| CAP 6778 | Advanced Data Mining and Machine Learning | The study of advanced topics in data mining and machine learning. Current research issues in data mining and its application in bioinformatics, computer network security, computer science, and software engineering. |
| CAP 6901 | Directed Independent Study in Artificial Intelligence | The study of topics relating to the special needs and interests of individual students. |
| CAP 6938 | Special Topics in Artificial Intelligence | Selected topics in artificial intelligence. |
| CAP 6974 | Master's Thesis - Artificial Intelligence | Thesis work under supervision. |
| ACG 6465 | Accounting for E-Commerce | As Accounting is the language of business, e-Commerce is the driver of business. Consequently, all accounting work involves e-Commerce in some way. So don’t let e-Commerce be the missing ingredient in your accounting education. This course ties together accounting and its driving elements in the areas of technology, data analytics, artificial intelligence and information systems. |
| CCJ 307 | Artificial Intelligence for Social Good | In this course, students learn about the social implications of artificial intelligence, data science and big data; strategies to ensure these systems are accountable to the communities and contexts they are meant to serve; and applied in ways the promote justice and equity. |
| CNT 4164 | Introduction to the Internet of Things and Sensor Networks | The course covers applications, architecture, routing and communication protocols for Internet of Things (IoT) and sensor networks. Technical and operational aspects of these communication networks are also discussed. The role of artificial intelligence in developing smart communication protocols and applications of IoT and sensor networks is discussed. Finally, the course includes discussions of emerging challenges, opportunities and future directions. |
| EEL 6819 | Neural Complex and Artificial Neural Networks | Multifaceted representation of neural activity in terms of neurobiology, cognitive science, art of computation, cybernetics and physics of statistical mechanics. Neural network modeling mimicking biological neural complex and development of artificial neural networks. |
| IDS 4139 | Artificial Intelligence Applications in Biology | This course introduces the underlying concepts, techniques and potential of artificial intelligence (AI) in biology. It explores the application of AI and machine learning (ML) methods and algorithms to selected areas in biology. The course also exposes students to contemporary interactive tools to build AI and ML solutions without the need for extensive programming. |
| ISM 4421 | Artificial Intelligence and Digital Transformation for Business | Students gain a business perspective of artificial intelligence (AI) as a driver of innovation and digital transformation in a wide array of industries. They learn how to plan, manage and maintain AI projects and how to address the digital transformation challenges and implications for the organization and society. |
| ISM 6427C | Business Innovation with Artificial Intelligence | Students gain a business perspective of artificial intelligence (AI) and other emerging technologies as drivers of innovation in businesses. They learn how AI is used in practice across organizations and industries, how to plan, manage and maintain AI projects, and how to address the AI challenges and implications for the organization and society. |
| MAN 6709 | Technology and Innovation in Disaster Management | Cutting edge technologies and other innovations are applied to managing all stages of crises/disasters. These include predictive analytics, such as artificial intelligence, drones, risk spatial assessment, 3D printing and augmented reality. Communication approaches to diverse cultures/communities and cybersecurity management are identified to optimize methods. |
| MAN 7926 | Business Impact of Artificial Intelligence and Emerging Technologies | This course provides students with an exposure to the major issues of business impact of artificial intelligence and other emerging technologies, including the Internet of Things and Service 4.0 and prepares students for academic research in this area. |
| PHI 2680 | Artificial Intelligence and Ethics | This course surveys the ethical entailments of artificial intelligence (AI), including the moral status of intelligent machines, the impact of AI on employment, autonomous warfare, and biases in design and application of these emerging technologies. |
| PHI 3692 | Honors Artificial Intelligence Ethics | This course offers an interdisciplinary approach to ethical issues raised by artificial intelligence (AI) including liability issues of self-driving cars/drones, economic impacts of AI, ethical concerns with predictive analytics using big data and the ethical status of robots. |