With The Gradual Introduction Of National And Provincial Policies On Big Data And Artificial Intelligence, The Construction Of Big Data And Artificial Intelligence Disciplines In Colleges And Universities Has Ushered In An Excellent Opportunity For Development. Against This Background, The School Is Actively Preparing To Build Big Data And Artificial Intelligence Majors And Strengthen The Training Of Relevant Talents. This Is An Inevitable Choice To Implement National Decision-making Arrangements, Adapt To The Trend Of The Times And Technological Development, And Strengthen The Training Of Application-oriented And Innovative Talents. As An Emerging Interdisciplinary Subject, Big Data And Artificial Intelligence Majors Involve Multi-disciplinary And Multi-field Knowledge, The Curriculum System Is Not Sound, And Textbooks And Handouts Are Missing. This Has Posed A New Challenge To The Original Teaching Level Of College Teachers. The Server Resources Of Traditional Computer Rooms Are Insufficient In The High Computing And High Performance Requirements Of Big Data And Artificial Intelligence Experiments, And Cannot Effectively Support The Teaching Of Related Practical Courses. The Above Problems Have Become A Common Problem That Restricts The Smooth Development Of Big Data And Artificial Intelligence Majors In Various Colleges And Universities.

 

No. Problem

Describe

 

1.Lack Of Teachers

Big Data And Artificial Intelligence Involve Knowledge From Multiple Disciplines And Fields, Posing New Challenges To The School’s Original Teaching Level Of Teachers. However, Teachers Have Heavy Teaching Tasks And The Training Cycle Of Internal Lecturers Is Long, Which Greatly Restricts The Smooth Development Of Teaching Work.

 

 

 

 

2.Lack Of Practical Training Environment

 

The Server Resources In Traditional Computer Rooms Are Insufficient In Meeting The High Computing And High Performance Requirements Of Big Data And Artificial Intelligence Experiments. They Also Lack The Algorithms, Computing Environment, And Data Required For Data Mining And Big Data Analysis Experiments, And Cannot Effectively Support The Teaching Of Related Practical Courses.

  

3.Insufficient Teaching Resources

 

The Big Data And Artificial Intelligence Curriculum System Is Not Perfect, Textbook And Handout Resources Are Missing, And University Teachers Lack Experience In Compiling Such Courses, Especially Real Project Cases From Enterprises And Their Supporting Data Sets, And The Development Of Teaching Content Is Slow.

 

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