In 2015, the Ministry of Education announced the new major of "Data Science and Big Data Technology". This major.
China University of Petroleum (East China) (hereinafter referred to as "China Petroleum University"), as a national key university directly under the Ministry of Education, is also the first batch of "Double First-Class" construction universities. Its School of Science was approved to offer data science and big data technology majors in 2019. Enroll the first batch of undergraduate students. In terms of time, it is not too early to open China Stone University; but in terms of majors and student development, China Stone University has flourished since then, and has achieved very impressive results in professional construction and talent training combined with the school's characteristic disciplines .
- 2023 Ruanke Chinese University Ranking 57/370 by subject, ranked A (the 370 schools on the list are themselves the top 50% of universities);
- Ranked 34/743 in the "2023 Ranking of Comprehensive Strength in Education and Teaching of Data Science and Big Data Technology Majors in 743 National Colleges and Universities" released by the National University Artificial Intelligence and Big Data Innovation Alliance, ranking in category A;
- The first batch of 63 graduates in 2023 will have a high level of comprehensive quality for further education and employment;
There are also abundant teachers and strong scientific research strength...all of which constitute the excellent admissions brochure of Zhongshi University.
How did Zhongshi University hand over this beautiful answer sheet?
Hejing and Zhongshi University have cooperated since 2019 and have accompanied and witnessed the professional growth all the way. At the special node of ushering in the first batch of graduates, we invited Mr. Chen Hua, the director of the Department of Data Science and Statistics, School of Science, China University of Petroleum (East China), to jointly reveal the story behind it...
OBE model: solid foundation, unique characteristics, and practice
——Collaborate with Whale to build a big data practice teaching platform
Data science itself has cross properties and can be considered as a combination of mathematics, statistics, and computer science. Although the data science and big data technology major of China Rock University is opened under the School of Science, what are the norms and standards for major construction, how to set up courses, and how to train students ... Mr. Chen Hua told us that these were troubled during the initial planning A long time question from teachers.
"The design of new majors varies greatly from school to school, because they are all crossing the river by feeling the stones. In 2018, we spent almost a whole year studying and studying in various universities that have already opened (data science and big data technology majors). communicate."
After extensive research, the Faculty of Science finally decided to base on the OBE model—from the student’s exit to reverse course design and implement it into a specific training plan, forming a design concept that integrates solid foundation, creative characteristics, and emphasizing practice. , which also laid the foundation for the friendly cooperation between Hejing and Zhongshi University.
Curriculum Teaching System : Oriented to Students' Exports
The export of students is mainly aimed at two directions of employment and further study.
The benchmark for employment ability is "Data Scientist " , which corresponds to the functions of the enterprise may be data analysts, algorithm engineers, artificial intelligence engineers, big data experts, etc. Compared with the traditional statistical export scope will be more extensive. In 2020, the Ministry of Human Resources and Social Security issued the "New Occupation-Analysis Report on the Employment Prosperity of Big Data Engineering and Technologists", pointing out that the employment direction of the big data industry includes research and development, development and analysis, so students must be proficient in computers and Statistics, to lay a solid mathematical foundation, but also to learn big data, artificial intelligence, algorithms, models, etc., to understand the basic principles of various technologies . Further study is more from the perspective of students taking postgraduate entrance examinations. Since data science has not yet set up a first-level discipline, computer and statistics are still the two mainstream directions .
In addition, the School of Science has further combined the school characteristics of China Petroleum University - energy and oceans, to create a data science and big data technology major with disciplinary characteristics, and strengthen the cultivation of students' ability to combine technology and fields from an industry perspective . As Mr. Chen Hua said: "Data must rely on the field. Without the support of the field, the data will not be able to play a role." There are not many interdisciplinary innovative courses, but the essence. Effective combination can be formed from the field. It is on this basis , Zhongshi University and Hejing jointly explored an innovative practical course combining class competitions (to be explained in detail later), which is also the teaching mode of interdisciplinary courses with the best teaching effect according to Hejing's research.
Based on the concept of OBE, combined with three levels of science (mathematics, statistics, data science), technology (computer technology, big data technology) and energy and marine applications, the unique curriculum teaching system of Sinopec University is formed.
Practical Teaching System: Big Data Practical Teaching Platform
The importance of practice to the teaching of data science and big data technology is self-evident. On the basis of the classroom teaching system, the Faculty of Science has also built a "five-in-one" practical education system, including in-class computers, summer training, Disciplinary competitions, independent innovation projects and corporate practice to cultivate high-level compound data science application talents.
However, there are some special and difficult problems in classroom practice: for example, teachers and students will face complicated environmental preparations, immature professional development leads to limited data resources and case resources in the course, and computing resources cannot be used, etc... Therefore, , in order to achieve more effective and efficient practical teaching, in the same year when Zhongshi’s big data science and big data technology major was approved, Hejing assisted the School of Science to build a big data practice integrating learning and practice based on the ModelWhale data science teaching-training platform The teaching platform supports daily course teaching .
The platform also provides Jupyter Notebook interactive programming tools and drag-and-drop analytical modeling tools, and has built-in hundreds of Python, R language toolkits and deep learning frameworks, which can be used by teachers and students by logging in on the webpage. In class, students can follow the teacher's rhythm to reproduce the courseware and cases to deepen their understanding of knowledge; after class, the teacher can publish practical exercises for students to submit online and automatically score.
For core professional courses such as "Machine Learning" and "Neural Network", the School of Science has adopted an innovative teaching model - practice first and then theory . "Hejing's platform can help students get started quickly. Students will be curious after using it in practical classes. For example, when he wants to know how to improve the optimization results, it will in turn motivate him to understand the internal mechanism and learn. Enthusiasm for theoretical classes." Teacher Chen Hua said, "The Hejing community also provides a wealth of teaching resources, and I can often see that the data submitted by students is marked from the Hejing community."
Practice atmosphere: the second classroom empowered by competition
——Collaborate with Whale to create an innovative course combining lessons and competitions
In addition to in-class practice, the college also set up a special form of extracurricular practice: data science competition. Teacher Chen Hua said: "The competition can cultivate students' sense of innovation and enable students to exercise their practical ability in the process of solving real industry problems."
However, unlike other competitions, data science competitions involve multiple elements such as data, code, environment, and computing power. Without a suitable competition platform, its preparation and operation will be very complicated . In this context, the Faculty of Science invited Hejing to co-organize the competition. Hejing has launched the data science competition business since 2015, and can even be said to be the pioneer of domestic data competitions. Widely recognized by universities.
In May 2021, during the "Mathematical Culture Festival" of China Petroleum University, the China University of Petroleum (East China) Disease Prediction Data Competition (intramural competition), co-sponsored by Hejing, was officially launched in the Hejing community. The competition is also based on the ModelWhale data science teaching-training platform. Through the form of "algorithm learning + algorithm competition", students' basic knowledge of data science and data thinking ability are improved, and the knowledge learned is reorganized in practical applications, so as to apply what they have learned and achieve The purpose of promoting teaching and learning through competition .
Consolidate the theoretical foundation by learning first and then competing
Considering that the participating students do not necessarily have the basic knowledge and skills required for the competition, the competition schedule has three stages:
- The first two stages are training camps, which provide learning materials and practice assignments for data analysis and machine learning, so that students with weak foundations can concentrate on learning. In addition , there are a wealth of activities and learning resources in the Whale community, and students can also re-consolidate other weak knowledge points from the perspective of application and lay a solid foundation. The teaching plans of the training camp and the teaching projects of the community can be reproduced with one click through the ModelWhale platform and run online.
- The third stage is training camp + main competition. The complete competition module of the ModelWhale platform and the mature competition operation experience of Whale make it more convenient and smooth for both the development and submission of students' works and the operation and evaluation of teachers.
In fact, the most fundamental purpose of "promoting teaching through competitions" is to verify the level of knowledge mastery and practical ability of students, and the process is more important than the result. Therefore, in addition to providing efficient automatic evaluation on the platform, the teacher can also directly view and run the code written by the students through subjective evaluation, understand the students' algorithm ideas, verify whether it can really run smoothly, and give marks and leave comments to guide students to improve .
Teacher Chen Hua told us that through the form of learning first and then competition, students obviously have a deeper understanding and a more solid foundation when they take "Introduction to Data Science and Big Data Technology" in the second half of the year.
Combining class competitions to create a practical atmosphere
Just as important as running the competition is to stimulate students' enthusiasm for participation. In fact, long before the establishment of the data science major, China Rock University formed a relatively strong competition atmosphere by holding mathematics competitions. Later, it set up a "second classroom" to encourage students to participate in various activities such as innovation and entrepreneurship, social practice and voluntary service.
For students majoring in data science and big data technology, the School of Science has combined the first classroom with the second classroom to form an innovative "combination of class and competition" model -integrating competition into classroom teaching, and corresponding works and results of the competition are listed part of the course assessment. The second data competition in 2022 will be themed on the ocean, and the scope of the assessment questions ranges from how to understand ocean big data to ocean data mining and deep learning models. With the assistance of Whale, the design of the competition is not only oriented to real application scenarios, but also highly linked to the knowledge points and teaching progress of the course, which can achieve more effective teaching evaluation .
More importantly, participating in intramural competitions can help students accumulate competition experience so that they can achieve good results in higher-level competitions. However, Mr. Chen Hua said that the Faculty of Science will provide students with a competition guide: "There are many competitions on the market now, and it is time-consuming to participate. We hope that students can really participate in those competitions that are helpful to them , such as the competitions organized by you and the whale. 4C competition. Again, export-oriented.” It is under this guidance that the first batch of graduates in 2023 have outstanding competition experience and strength, and have won the top prizes in many national A-level competitions. Good grades have become their "plus points" when they are employed.
In addition, the competition held by the Faculty of Science is not only for students of this major, but all majors in the whole school can participate. From the first disease prediction in 2021, to the ocean data in 2022, to the loan prediction in 2023, diverse competition topics have attracted thousands of students.
"Hejing's platform is very flexible. It can hold small-scale intramural competitions as well as large-scale national competitions. I hope that we will have the opportunity to hold a challenge covering the entire Qingdao university in the future to expand the coverage of the competition and allow more Students benefit.” This is the expectation of Teacher Chen Hua, and also the expectation of He Jing.
Future: Join Hands with Whale to Cultivate Applied Data Science Talents
In the past four years, the data science and big data technology major of the School of Science, China University of Petroleum (East China) has ushered in the first batch of outstanding graduates from its establishment, and Whale has also gained more recognition and trust, and has grown into a teaching and training platform for colleges and universities first choice. But as Mr. Chen Hua said, professional development must keep up with the times, and technological development is also changing with each passing day. In the future, the two parties will continue to work together to make progress and grow together.
Based on the new vision of national higher education, Hejing has been helping to promote the reform of education and curriculum in colleges and universities for a long time. Based on the OBE results-oriented education model , it integrates the powerful data science collaboration platform ModelWhale, the Hejing community with rich practical case resources , and Hejing Kesai Years of competition experience and competition modules have built the most complete product + resource + service system, which has been applied to the construction of data science-related majors (courses) systems in many colleges and universities——assisting the School of Information, Renmin University of China to build "Interdisciplinary teaching and research integration new data analysis platform", assisting the School of Public Administration of Sichuan University to build a "big data application training system", assisting the Economic Management Experimental Teaching Center of Jinan University to build a "business big data teaching training platform"...——acquired Widely praised by customers from double first-class to ordinary colleges and universities.
Hejing is willing to use the accumulated and precipitated experience and methodology to sort out the needs and pain points with colleges and universities, and to build and improve the data-driven related professional (course) system, so as to bring substantial help to the cultivation of national applied talents. For any related needs, you are welcome to scan the QR code below or search to enter the registration experience on the ModelWhale official website and communicate with us.