Intelligent Information Processing Technology
Intelligent information processing technology mainly studies the basic theory of information processing and advanced technologies of intelligence. It is related to computer science and information technology. At this stage, artificial intelligence technology is a useful tool. The applications of intelligent information processing technology are Internet and data mining, explaining Internet-derived materials, web interfaces, remote condition monitoring and other fields.
So far, intelligent information processing technology has made some substantial progress in some special areas. However, a deep understanding of the nature of intelligence is not enough, so many of the most advanced intelligent systems still cannot compete with human intelligence. In order to advance artificial intelligence research, it is necessary to study artificial and natural intelligence in an interdisciplinary context. Intelligent information processing technology brings together researchers in brain science, cognitive science and artificial intelligence to explore the nature of intelligence and related technologies.
Intelligent information processing technology courses mainly involve the research and development of intelligent information processing systems. Create common experience knowledge and wisdom through intelligent information processing technology, and improve the quality of individual and group intellectual activities. Balanced or harmonious collaboration means that not only users but also human society may feel the services of machines that are acceptable in human-computer collaboration.
Students with a degree in Intelligent Information Processing Technology work in advanced fields such as cognitive science, social sciences, natural language, computer science, computational science, and robotics.
WHAT CAN I DO WITH INTELLIGENT INFORMATION PROCESSING TECHNOLOGY DEGREE?
1. Network and Computer System Administrator
Network and computer system administrators are responsible for the day-to-day operations of the company's computer network, including organizing, installing, and supporting computer systems, networks, intranets, and other data communication systems.
2. Computer and Information Systems Manager
Computer and Information Systems Manager directs the team and runs the project in the organization to meet computer-related needs. In addition, they help determine IT goals and implement the computer systems needed to achieve them.
3. Computer Systems Analyst
Computer Systems Analyst assess the company's current computer systems and business processes at a detailed level. They will advise on more efficient and effective business and IT usage and interaction. Typically, they act as a bridge between business and IT.
4. Database Administrator
Database administrators are software experts who focus on applications and services that are responsible for organizing and storing organizational data, such as financial records or shipping addresses or health records. They also ensure the security of the data and its availability to the target users.
5. Software Developers
Software developers create applications that run on other IT devices such as computers or smartphones. Some software developers are more concerned with the underlying computer systems that run devices or networks.
6. Information Security Analyst
Information security analysts use information technology to bring organizations closer to their business goals. Information security analysts are responsible for protecting information from cyber attacks. The Information Security Analyst is also responsible for creating an internal network for all employees in the organization to help provide the look and feel of the organization to others. For this profession, it is important to understand the various programming languages.
Signal and system
The neural network information processing
Common skills gained from this degree
- Skilled processing of intelligent algorithms
- Master artificial intelligence technology
- Multimedia information processing skills
- Data mining and information discovery
- Sample collection capability