Bachelor of Science in Computer Science with Concentrations in Game Development and Simulation (STEM)

at Global University Systems (GUS) - Florida Polytechnic University USA

The Department of Electrical Engineering offers a comprehensive curriculum that combines rigorous and balanced foundation in physics, mathematics, and computing; core courses in electronics, information systems, and digital systems; and higher-level skill in the analysis and design of systems. You will gain experience with a range of state-of-the-art devices and laboratory tools, progressing toward upper-level coursework and a yearlong senior capstone design project.

Concentrations in Advanced Topics
Students can design their own four-course concentration within the major based on their personal academic and professional pursuits. This unique combination of courses works in concert with other co- and extra-curricular activities, including research experiences, internships, and a wide variety of opportunities in our student organizations. Advanced Topics offers the student the flexibility in curriculum choices to grow with their changing interests as they look forward to graduation, graduate school, and their professional endeavors.

The M.S. in Engineering program at Florida Poly attracts working professionals who seek an advanced engineering education. Rather than culminate in a research experience and a thesis, the Masters of Engineering curriculum prepares students with the necessary skills for advancing their careers in industries involved in emerging technologies, product development, and program management with specializations in mechanical engineering, electrical engineering, and computer engineering.

Computer Engineering
Computer Engineering combines the hardware background and aptitude of electrical engineering with the firmware and software writing skills of computer science. Computer engineers design and build embedded microcontrollers, VLSI chips, analog sensors, mixed signal circuit boards, and operating systems — and guide how these parts integrate into the larger picture.

The B.S. in Computer Science gives you the broad computational thinking, programming, and problem-solving skills you’ll need to succeed as a computing professional in a range of emerging careers and industries — from automated vehicles to biomedical devices and sensor-based technologies.
The Department of Computer Science offers a comprehensive curriculum that favors a pragmatic, problem-solving approach to computing. The program builds upon a mathematically rigorous foundation, while challenging you with physics, chemistry, and other sciences to round out your ability to frame problems and think analytically.

Concentrations in Big Data Analytics
Students in Big Data Analytics learn to collect, manage, and optimize large-scale structured and unstructured data sets to facilitate information and decision-making. Students in Big Data Analytics develop a strong foundation in essential programming skills, quantitative analysis, and hardware and software solutions for facilitating effective use of big data.

As a student in the B.S. in Business Analytics program, you will gain extensive skills in statistical analysis, data visualization and modeling (descriptive, predictive and prescriptive). That strong analytical and technical background is balanced by insights into how these models can be applied across functional business areas.

Concentrations in Intelligent Mobility
Intelligent Mobility uses data and technology to connect people, places, and goods across all transportation modes. Growth in intelligent mobility will transform the way people travel, interact with their environment, and connect goods and services.

The Department of Mechanical Engineering offers a comprehensive curriculum (grounded in foundational mathematics and physics) that prepares you for professional work or further graduate study. Design is integrated throughout the curriculum. You will gain experience with engineering computer software and a range of laboratory tools as you progress toward upper level coursework and a yearlong senior capstone project.

Concentrations in Mechanical and Thermal Systems
Central Florida (as well as the broader state) is home to several companies and firms that the support agriculture processing, mining, power-production, and green/eco-construction industries. Common themes or threads within these industries is the need for large machinery to transmit large mechanical forces, operate under high pressures within a thermodynamic cycle, convert energy, and or heat or cool areas in extreme/semi-extreme environments. The student will build on their mechanical engineering core courses with a focus on more specific topics in the traditional areas of mechanical engineering including Heating, Ventilating, and Air Conditioning (HVAC), Computer Manufacturing and Control, Energy Conversion and Sustainability, and Principles of Turbomachinery.

As a student in the B.S. in Business Analytics program, you will gain extensive skills in statistical analysis, data visualization and modeling (descriptive, predictive and prescriptive). That strong analytical and technical background is balanced by insights into how these models can be applied across functional business areas.

Concentrations in Quantitative Economics and Econometrics
Quantitative Economics and Econometrics use mathematical and statistical methods to develop techniques for measuring a range of systems, including financial, government, social, legal, medical, and so on. Students with a quantitative economics and econometrics background learn to assess and measure trends to understand complex phenomena and to improve long-term positioning.

Our B.S. in Computer Engineering combines the hardware background and aptitude of electrical engineering with the firmware and software writing skills of computer science. Computer engineers design and build embedded microcontrollers, VLSI chips, analog sensors, mixed signal circuit boards, and operating systems — and guide how these parts integrate into the larger picture.
The Department of Computer Engineering offers a comprehensive curriculum that favors a pragmatic, problem solving approach to both the body (hardware) and mind (software) components of computing.

Concentrations in Machine Intelligence
The field of Machine Intelligence involves the disciplines of advanced machine learning, reasoning and self-correction, as well as the abilities of machines to perceive, move, manipulate, and communicate. Graduates will be prepared for a career in machine intelligence where they will develop programming strategies for machine learning and pattern recognition.

As a student in the B.S. in Business Analytics program, you will gain extensive skills in statistical analysis, data visualization and modeling (descriptive, predictive and prescriptive). That strong analytical and technical background is balanced by insights into how these models can be applied across functional business areas.

Concentrations in Health Systems Engineering
The Health Systems Engineering (HSE) program prepares the architects of tomorrow’s healthcare system to take on its most urgent and complex challenges.
Healthcare represents 18% of the nation’s gross domestic product. As one of the world’s largest and fastest-growing industries, it is bursting with opportunities to create solutions to perplexing and unique problems that transcend medicine. Those with knowledge of technology, data, and multiple systems, as well as proven skills in hands-on problem solving, are in the perfect position to leverage their talents to transform the industry.

Health systems engineering involves a multidisciplinary approach that applies engineering and analytic principles to all aspects of healthcare. The implementation of engineering techniques combines concepts of advancement, process improvement, health informatics, cost reduction, and quality and safety.

The Florida Poly HSE program provides real-world experience with industry experts and a multidisciplinary faculty to prepare students for a career leading change in healthcare.

The Department of Electrical Engineering offers a comprehensive curriculum that combines rigorous and balanced foundation in physics, mathematics, and computing; core courses in electronics, information systems, and digital systems; and higher-level skill in the analysis and design of systems. You will gain experience with a range of state-of-the-art devices and laboratory tools, progressing toward upper-level coursework and a yearlong senior capstone design project.

Concentrations in Autonomous and Electric Vehicles
This concentration covers emerging topics in both the autonomous system and the electric vehicle system. It requires two courses on autonomous vehicle systems and two courses on electric vehicle systems. The autonomous vehicle system covers the software and hardware architectures of the autonomous driving, vehicle dynamics system and modeling, different sensors used for autonomous driving and techniques for sensor fusion to define vehicle localization, and environment perception. An advanced course covers computer vision methods for detection, control and motion planning in autonomous vehicles, and connected vehicles concepts. The electric vehicle system covers the modeling and control of electric motors, and the hybrid electric vehicles (HEVs), including architecture, sub-system design, and sizing, modeling, and energy management strategies. It also covers vehicle dynamics along with energy storage, and power electronics utilized in HEVs as well as the environmental and economic impacts and current limitations of HEVs.

Our B.S. in Computer Engineering combines the hardware background and aptitude of electrical engineering with the firmware and software writing skills of computer science. Computer engineers design and build embedded microcontrollers, VLSI chips, analog sensors, mixed signal circuit boards, and operating systems — and guide how these parts integrate into the larger picture.
The Department of Computer Engineering offers a comprehensive curriculum that favors a pragmatic, problem solving approach to both the body (hardware) and mind (software) components of computing.

Concentrations in Autonomous Robotic Systems
This concentration focuses on project-based and intensive courses grounded in robotics, autonomy, real-time operating systems, and systems engineering, and includes methods to analyze, model, and control robotic mechanisms in the fundamentals of kinematics, dynamics and the design and implementation of motion trajectory planning algorithms. Additional topics include state estimation and dynamic parameter identification of a robotic system. Students will learn about embedded systems control, computer vision, localization and planning, mapping algorithms, and sensor integration into real-time operating systems. Students design, assemble, and program a scale-model autonomous, self-driving vehicle. The concentration will also provide the theoretical and practical basis required for understanding Digital Image Processing fundamentals and their applications on gray and colored images as it relates to autonomous robotic programming.