About the Program

Aiming to cultivate students' ability to use machine learning algorithms for data analysis, professors from ZJUT，Exeter University in UK and Breda University of Applied Sciences in Netherlands jointly offer the summer school program "Machine Learning and Data Analysis Practice".

The program provides the principles of machine learning algorithms and data analysis methods, which can be used as scientific basis for industry development and enterprise decision-making. It will also enhance students' hands-on abilities to solve practical engineering problems.

General Information

      1. Time and location

      From July 1st to July 26th (includes online self-study from July 1st to July 12th)

      Computer Science and technology Building, Pingfeng Campus

      2. Language: English

      3. Class Size: 25 Chinese Students + 5 International undergraduate students

      4. Course credits

      General elective course with 2 credits.

      5. Course fees

      No teaching fees. The program is funded by ZJUT International Summer School Program.

Eligibility

Applicants for the program should fulfill the following requirements:

l Opens to second- and third-year undergraduate students, who have already completed courses in advanced mathematics, linear algebra, probability and statistics.

l Preliminary knowledge of artificial intelligence theory and Python programming.

l Strong learning initiative and adaptability, good English communication skills and teamwork awareness.

Curriculum

       1) Online self-study course 30-48 credit hours: prerequisite for artificial intelligence basics and Python language application in machine learning. Students are required to submit their study reports and engage in group learning and discussion activities on a weekly basis.

       2) 16 hours of offline theoretical teaching: data preprocessing, feature engineering, model selection and optimization, etc.

       3) 16 hours of offline practical course: completing the whole cycle of model training and optimization process of AI deep learning based on industrial data, providing scientific basis for industry development and enterprise decision-making.

Faculties

Professor Wu Jun, Associate Professor at Breda University of Applied Science in the Netherlands. In 2005, he obtained a joint doctoral degree from Delft Institute of Technology and MIT. In 2011, he served as a professor at Huazhong University of Science and Technology. Since 2023, he has been serving as an Associate Professor at Breda University of Applied Science in the Netherlands. Professor Wu Jun has over ten years of experience as a senior consultant and data analyst in Dutch companies, with extensive experience and knowledge in business intelligence and data science. At present, he mainly teaches courses in the fields of business intelligence, data analysis, machine learning, artificial intelligence, enterprise level data architecture, and data engineering.

       Richard Everson is a Professor of Machine Learning at the University of Exeter, UK and a fellow of the Alan Turing Institute. His research interests are in machine learning and optimisation and the interaction between them: machine learning for optimisation and optimisation for machine learning.  His work finds applications in engineering design, healthcare and he is academic principal investigator for Project Bluebird, investigating the feasibility of using AI for air traffic control.

Dr. Cao Di, Ph.D. from Strathclyde University in UK. He is currently director of International Cooperation Office at the School of Computer Science and Technology. He has led the Provincial first-class international course construction project and guided students to win the first prize of the e-commerce national competition and the silver prize of the Internet+ provincial competition.

Professor Chen Peng, Ph.D. from Zhejiang University and visiting scholar at the University of California, Santa Barbara (UCSB) in the United States. He is currently the Vice Dean and Doctoral Advisor of the School of Computer Science and Technology. He is a member of the Pattern Recognition Committee and the Intelligent Fusion Committee of the China Artificial Intelligence Association. He got the first prize in the 3rd Zhejiang Province Higher Education Teaching Innovation Competition, the Huawei "Intelligent Base" Excellent Teacher, and the second prize in the 2021 Zhejiang Province Teaching Achievement Award. He also won the first prize of the Zhejiang Province Science and Technology Progress Award and the Zhejiang Province Technology Invention Award, and has been selected for the Zhejiang Province Ten Thousand Talents Plan Youth Top Talent Project.

Dr. Lei Yanjing, Ph.D. from Northwestern Polytechnical University and visiting scholar at Aalborg University in Denmark. She is currently the Deputy Director of the National First Class Major in Computer Science and Technology, and a member of the Undergraduate Teaching Supervision Group at the School of Computer Science and technology. She has led Provincial teaching reform projects and participated in projects funded by the National Natural Science Foundation of China, Zhejiang Provincial Natural Science Foundation, Zhejiang Provincial Department of Science and Technology, and Education Department.

How to Apply

Application forms are required to be submitted to the cloud drive (click here to send your Application Form) by 5:00 pm on June 18th. 

Contact Information:

If you have any course consultation , can contact Dr. Di Cao, Email: dicao@zjut.edu.cn

A shortlist of no more than 30 finalists will finalized in mid-June. Please wait for Ms. Sue Yang’s notice. Tel: 85290061

annex：

Application Form.docx