Intelligent Systems Engineering encompasses a diverse range of fields from the architecture of computer hardware and networks to cutting edge nanotechnology. The ISE program focuses on the engineering of small, mobile, personal technologies that integrate big data, computational modeling, and intelligent systems into their design.
Bioengineering is a broad field combining the application and concepts of biology with technology. Building on existing IU Bloomington strengths in biomolecular engineering, bioelectronic engineering, biomechanical engineering, and biotechnology, this area of study aims to combine engineering and the life sciences.
Computer engineers are focused on analyzing and solving computer-related problems. Computer engineering includes everything from building more efficient networks to making computer hardware smaller and faster to creating software that will better use the resources at its disposal.
Ensuring the seamless integration of physical components and computer algorithms is the goal of the field of cyber-physical systems. Combining human or environmental interaction and computational technology, cyber-physical systems help build ‘smart’ networked systems engineered to sense and interact with the physical world.
Environmental engineers use the principles of biology, chemistry, engineering, and technology to solve the problems facing the environment. Improving recycling, public health, waste disposal, and predicting environmental outcomes are just some of the issues facing environmental engineers in our ever-greener world.
Molecular and nanoscale engineering is a broad but promising field that will help develop future technologies and change the world. Building from the precision of molecular and nanoscale constructs, new materials and responsive/adaptive platforms can be designed to translate advances from physics, chemistry, biology, and computational sciences into functional tools.
Neuroengineers stand on the cutting edge of the interface of living neural tissue and non-living constructs, creating technology to measure, repair, or replicate the brain’s function. Using engineering techniques, students can focus on understanding and coding neural processes for distributing information in the brain and body.