BS Intelligent Systems Engineering
The program in Intelligent System Engineering is a 4-year interdisciplinary program involving both the engineering and the computing domain. In addition to the successful completion of university studies requirements for UNCW, the B.S. curriculum requires math and science foundations, engineering core courses and an area of concentration. The concentration areas include: 1. Machine Learning and Artificial Intelligence, 2. Cybersecurity, and 3. Cyber-physical Systems (smart networked systems with embedded sensors and actuators that are designed to interact with the real-world and support real-time, guaranteed performance in safety-critical applications).
The program is supported by computer science and engineering faculty with strengths in machine learning, artificial intelligence, data science, cybersecurity, and cyber-physical systems. Program goals for student learning outcomes include:
i) ensure a thorough preparation in the fundamentals of science and engineering,
ii) provide a foundation to the planning, design, construction and operation of hardware/software-based projects.
iii) a broad engineering education necessary to understand the impact of hardware/software solutions in a global, economic, environmental, and societal context,
iv) develop the ability to communicate complex engineering solutions effectively, and
v) understand professional and ethical responsibility.
The program in Intelligent System Engineering is a 4-year interdisciplinary program involving both the engineering and the computing domain. In addition to the successful completion of university studies requirements for UNCW, the B.S. curriculum requires math and science foundations, engineering core courses and an area of concentration. The concentration areas include: 1. Machine Learning and Artificial Intelligence, 2. Cybersecurity, and 3. Cyber-physical Systems (smart networked systems with embedded sensors and actuators that are designed to interact with the real-world and support real-time, guaranteed performance in safety-critical applications).
The program is supported by computer science and engineering faculty with strengths in machine learning, artificial intelligence, data science, cybersecurity, and cyber-physical systems. Program goals for student learning outcomes include:
i) ensure a thorough preparation in the fundamentals of science and engineering,
ii) provide a foundation to the planning, design, construction and operation of hardware/software-based projects.
iii) a broad engineering education necessary to understand the impact of hardware/software solutions in a global, economic, environmental, and societal context,
iv) develop the ability to communicate complex engineering solutions effectively, and
v) understand professional and ethical responsibility.
