With the adjustment of economic structure, science and technology to further implement the strategy of the country, science, industry, national defense and education needs a large number of high-quality computer specialists. Computer industry's good employment prospects and remuneration attracted a large number of non-computer application technology majors.
They urgently need to rely on learning and training to obtain the technical ability to enter the computer application technology specialized industry. On the other hand, the change and turnover of occupations in the computer application technology industry is also the most frequent, which requires practitioners to learn continuously in order to maintain this state of continuous work.
At the same time, the more advanced technology a person learns, the more comprehensive the technology mastered, then the person's career development prospects will be broader, the greater the opportunity for job selection.
Research direction of computer application technology:
1, software engineering technology based on the interconnection of the Internet and network software integration technology, in the multi-agents collaborative work, general rpc application platform and other aspects of the research results achieved
2, middleware technology, especially the security middleware in the application of the banking payment system technology, has achieved a number of successful applications The case of the successful application of middleware technology.
3, j2ee architecture application technology, in corba application technology has also achieved results.
4, data mining and knowledge discovery: the main research on the basic theory, discovery algorithms, visualization techniques, qualitative and quantitative interchangeable models, knowledge representation methods, the discovery of the maintenance of knowledge and reuse, semi-structured and unstructured data in the knowledge discovery and online data mining.
5, biological information intelligent processing technology: the study of biological intelligent information processing algorithmic problems, focusing on the study of biological information resources **** enjoyment technology and biological information knowledge mining. Mainly includes the study of new dna sequence characterization methods.