Systematically master professional basic theoretical knowledge and professional knowledge, experience systematic professional practice, understand the basic concepts, knowledge structure and typical methods of computing discipline, and establish core professional consciousness such as digitalization, algorithm, modularization and hierarchy.
Extended data:
teaching system
1, in-class experiment. This is a course-aided experiment, which aims to consolidate students' understanding and mastery of theoretical knowledge learned in class.
2. Curriculum design. In order to improve students' ability to solve specific problems by comprehensively applying the knowledge and technology learned in the course, many design courses can be offered, such as the comprehensive course design of computer electronic circuit foundation, the course design of structured programming, the course design of computer composition and system structure, and the course design of single chip microcomputer principle.
3. Experimental class. This experiment is independent of the curriculum, mainly aimed at some courses with strong practical application, such as network experiment and CAD experiment.
4. Open experiments. Change the original fixed experimental schedule into flexible experimental schedule, change the original closed experimental project into an experimental project that supports independent design, and change the original batch experimental model into an experimental model that meets students' individual requirements.