However, because Big Data major is a new compound major featuring software and hardware integration, data science and big data technology, many colleges and universities are facing challenges in specialty construction and personnel training, and the selection of teaching materials has become a headache for many colleges and universities.
After in-depth research on the above situation, Dr. Tsinghua University, director of the Artificial Intelligence Expert Committee of China Big Data Application Alliance, and Professor Liu Peng, president of Yunchuang Big Data, started planning very early in the industry. Professional teachers engaged in front-line education and scientific research tasks in many universities in the United Nations have successively served as editors-in-chief, and "Advanced Big Data Talent Training Series".
In the teaching of big data, the practical teaching of undergraduate colleges pays attention to systematicness, emphasizes the application of technology, and requires higher engineering practice ability.
Therefore, Professor Liu Peng led the team to compile a series of advanced big data talents training series (cloud computing, big data, deep learning, big database, data mining, 0755-0755) for one year.
Among them, Python Programming has been in the forefront of computer books cited in China for many years. According to the Internet's evaluation of WeChat official account "Big Data Visualization", Big Data Experiment Manual 20 10 to 20 14.
Have you read the series of teaching materials (virtualization and container, cloud computing, engineering high school) for training big data application talents? , Cloud Computing, Introduction to Big Data 0755-79055-)
From simple to complex, the content not only follows the learning process from theory to practice, but also follows the principle of systematicness and extensiveness.
Editor Wang of Tsinghua University Publishing House said: "The topic of Professor Liu Peng's textbook is very unique. Considering the employment needs of big data talents in higher vocational colleges in the future, he chose a very distinctive topic.
"
Judging from the big data textbooks of colleges and universities in the industry, the theoretical knowledge is too complicated and profound, which does not fit the teaching practice, or the practical part is too brief, and students often feel confused after learning.
"Advanced Big Data Talents Training Series" and "Big Data Application Talents Training Series Textbooks" are quite different, which are in line with teachers' educational practice and students' practical experiments. Once introduced, it has been widely concerned and adopted by colleges and universities.
Teachers and students generally spoke highly of it. -not only conforms to the teaching practice, but also has a reasonable proportion of theory and practice. A large number of experiments have improved students' practical ability, and big data learning is no longer an "armchair strategist".
Big data education pays special attention to practice. In addition to the two sets of teaching materials, Professor Liu Peng led Yunchuang Big Data Technology Team to match the teacher education teaching materials which were well received by senior high school teachers in view of the problems existing in the current practice teaching of big data education, such as insufficient teachers, weak experimental environment and lack of experimental data.
Teacher training
In the past three years, Yunchuang Big Data (the "Training Base for Industrial and Informational Talents Training Project" authorized by the Education Examination Center of the Ministry of Industry and Information Technology) has held dozens of practical training courses on big data/artificial intelligence. All the training courses adopt the practice method, which greatly improves the actual combat ability of the participating teachers, and every training session is responsive.
More than 5,000 teachers from more than 2,000 colleges and universities across the country attended and received training. Teachers generally gave feedback, which greatly inspired future education and personnel training. The big data practical training class held by Yunchuang has also aroused strong repercussions in the field of education.
In addition, excellent lecturers and technicians of Yunchuang Big Data will also go to cooperative universities regularly or irregularly to carry out training services including education and experimental personnel education guidance.
201612-201717, held many free training courses for senior high school (higher vocational) big data teachers.
20 17, 1 June, hundreds of senior high school teachers gathered in the second free training course for senior high school (higher vocational) big data teachers.
On April 20 17, a free workshop for big data teachers in thousands of universities across China was held in Nanjing.
2018 may 2065 438+08 Industry-University-Research held a training course for big data technology teachers.
September 20 18-June 2065438+00, the second national free training course for big data artificial intelligence teachers in colleges and universities was held for three times.
20 19, 1 month, 20 19, the national free training course for big data artificial intelligence teachers was held for two consecutive sessions.
2019 March, 2065 438+09 Big Data Artificial Intelligence Teacher Training Course was held in Nanjing.
20 19 June 20 19 Cloud Computing Free Training Course was held in Nanjing.
20 19 July, 20 19 National College Big Data Artificial Intelligence Teacher Training Practice Free Training Course (Phase III) was held.
Yunchuang Big Data's continuous big data practical training, on the one hand, provides high school teachers with opportunities to discuss with experts, communicate with colleagues and learn from experienced lecturers, on the other hand, it also breaks through big data experiments such as Hadoop, Spark, Python language and Scala step by step.
Big data lab
The construction scheme of big data lab is based on the construction of an integrated computer and platform for big data experiments provided by the cloud. Docker container technology is used to provide users with big data experimental services, so that a large number of users can conduct online experiments at the same time to avoid mutual interference. At the same time, experimental manuals, course resources, teaching videos, examination systems, etc. It is convenient for college teachers and students to conduct big data teaching and experiments on the platform.
In May of this year, the Big Data experimental platform was updated again, the user interface was revised, the system resources were optimized, the experimental contents were increased, the experimental forms were enriched, the question bank was expanded, the mapping between teaching materials and experimental contents was improved, the experimental operation videos were added, and the business intelligence practice teaching subsystem was integrated, so that the basic image speed was greatly optimized. It takes only ten seconds to create the environment with one click.
At present, the big data experiment platform has been updated to 400 big data experiments.
The operation is simple and the actual combat effect is remarkable. The big data experimental platform relies on Guizhou University, Northwestern Polytechnical University, Shandong University of Technology, Zhengzhou University, Henan Agricultural University, Chengdu University of Technology, Southwest University, Chongqing Normal University, chongqing technology and business university, Shaanxi Normal University, Ningxia University, Nanjing University of Finance and Economics, Jinling Institute of Technology, Tianjin Agricultural University and Zhengzhou Shengda University of Economics, Business and Management.
It is worth mentioning that Zhengzhou Shengda University of Economics, Business and Management, as one of the three private universities, has made many innovations in classroom teaching, experimental development, curriculum system construction and many other aspects since Tianjiao Data Experimental Platform was launched.
At present, the big data lab is the one with the highest utilization rate in the school, and it has been scheduled for Sunday.
There are 250 students majoring in computer science and software engineering in the School of Information Engineering, and more than 800 students from other schools have received strict training on this platform.
The salary level of graduates who use this platform far exceeds that of graduates from ordinary professional colleges, which directly promotes the simultaneous improvement of student employment rate and school influence.
Whether it is the teaching material system, teacher training, or big data laboratory construction, Yunchuang Big Data has developed steadily in the field of education, with strong technical advantages and high-quality resources.
Warmly welcome universities, educational institutions, enterprises and institutions to carry out various exchanges and cooperation with cloud entrepreneurship, * * * discuss related fields of big data construction, cultivate more and more outstanding talents of big data, and make contributions to the development of the industry.
Access to resources such as Advanced Big Data Talent Training Series, PPT for Big Data Application Talent Training Series, Big Data for Artificial Intelligence Talent Training Scheme, Big Data for Artificial Intelligence Laboratory Construction Scheme, and Yunchuang Big Data Cooperation Workbook can be obtained in one of the following ways.
2. Pay attention to "cStor_cn" and reply "PPT" in the background of WeChat to get the download link of the full set of resources of the network disk.
If you have any questions about the self-taught/adult-taught examination, don't know the contents of the test sites for self-taught/adult-taught examination, and don't know the local policies for self-taught/adult-taught examination, click on Mr. official website at the bottom to get the review materials for free: /xl/