The joint undergraduate program in Data Science and Big Data Technology, launched by the City University of Macau (CityU) and the Minzu University of China (MUC), has been in operation for a year. In order to strengthen connections between the two universities, Vice Rector Zhou Wanlei led a faculty team on an academic trip to the Hainan International College of Minzu University of China to facilitate academic exchanges. During the trip, Vice Rector Zhou, along with Associate Professor James Ying Zuobin, coordinator of the postgraduate program at the Faculty of Data Science, and Associate Professor Duan Junwei, delivered an academic lecture series on digital China and building a country with robust technological power, allowing students to broaden their academic horizons and understand development trends and discipline dynamics.
Associate Dean Andy Liu Wenjian of the Faculty of Data Science, along with faculty from the MUC School of Information Engineering and all students enrolled in the Data Science and Big Data Technology discipline, attended the lecture.
Vice Rector Zhou delivered the first lecture of the series. During his presentation titled “Current Development, Challenges and Trends in Data Science,” Vice Rector Zhou discussed how data science is widely recognized by the industry and highlighted the leading role of artificial intelligence and cloud computing in this discipline. He also emphasized the numerous opportunities and needs for talent and applications in data science and shared his views on current challenges and development trends. Using his own research as an example, he discussed frontier studies in the field, highlighted key learning points, and elaborated on his research method, steps, and findings.
Beginning with a reference to the movie The Matrix, Associate Professor James Ying Zuobin presented on “Constructing a Foundation for Next-Generation Distributed and Trusted Networks — An Attempt to Explore Blockchain Technology” and summarized the evolution of “Web” into three phases. Through an analysis of the bitcoin network, Associate Professor Ying shared the important role of blockchain technology in ensuring safe transactions.
During his presentation titled “Medical Data Analysis Methods and Applications Based on Broad Learning,” Associate Professor Duan Junwei introduced his research on computational intelligence theory and shared examples of applying his research to biomedicine. He delved into broad learning neural networks and their variations, allowing students to gain a clear understanding of the field. In addition, his presentation on various data analysis methods and their medical applications, such as automatic detection of epileptic brain signals, further deepened students’ understanding of the importance of broad learning neural networks.
Each lecture was followed by a Q&A session, during which faculty and students actively engaged in dialogue by asking questions. The three speakers provided detailed and thought-provoking information on technical security, privacy protection, research entry points, and future research directions to address concerns. Students agreed that the lecture series broadened their horizons and expanded their thinking, and they gained significant benefits from it.
Source: Faculty of Data Science
