Economic Big Data Automated Robot Experiment

1. Purpose

The economic big data automation robot experiment course is designed according to the teaching characteristics of economics and finance majors and the characteristics of the current market in my country, aiming to create a simulation course system of teaching practice that is close to reality for students. It also provides teachers with a variety of auxiliary teaching methods to improve students' professional level and social practice ability, and strive for greater employment opportunities.

(1) Develop good occupational habits: "Economic Big Data Automation Robot Training" uses intelligent automation robots to replace employees to complete low-value-added and repetitive tasks, which can not only improve the overall efficiency of employees, but also reduce the burden on industry employees and improve Talent value, continuously optimize the business processes within the industry, create new business models; accelerate the digital and intelligent upgrade of the industry, promote the improvement of digital processes, enhance digital management capabilities, and create a digital industry. Through this training, students can master the skills required for the development of economic big data automation robots, and at the same time, they can develop good professional habits during school.

(2) Embody the employment-oriented "job training mode:" The training organically combines the actual work process with the project teaching method, task-driven teaching method, case teaching method, and research-based collaborative learning method to form an employment-oriented training method. The "job training mode".

(3) It highlights the "zero distance from real work": it broadens students' horizons, expands the field of knowledge, and improves the learning environment. Students master the application of automated robots in the era of economic big data through experimental learning and operation. In this way, we deeply comprehend the achievements and significance brought about by the combination of practice and theory, highlighting the "zero distance from real work".

(4) Improve students' comprehensive employability: Through experiential practical operation, the cultivation of students' creativity and hands-on ability is strengthened, and students' comprehensive strength of learning to discover, refine, summarize and solve problems in practice is improved.