Since 2005
About us
Since 2005, the AI and Big Data Laboratory is a research and education center dedicated to nurturing future technology leaders and promoting the application of innovative technologies. Our labs are dedicated to artificial intelligence, big data analytics, and algorithm development, and are designed to provide students with comprehensive academic training and hands-on experience that will enable them to excel in the industry.
In addition, the lab also looks at the application of artificial intelligence and big data technologies to sports science. We are committed to using these technologies to analyze and optimize athletes’ performance to improve their performance in competition. These studies not only involve the collection and analysis of data on the training and competitive process, but also use this data to develop personalized training plans and strategies.
The AI & Big Data Lab provides a vibrant and innovative environment to accumulate sufficient experience in IT technology and industry cooperation through continuous learning and growth, and to nurture outstanding information analysis talents for the industry.
Expertise
It covers a wide range of advanced technology areas, including artificial intelligence, big data, algorithms, database management, programming, network management, and optimization technologies. The in-depth research in these professional fields not only enables students to master theoretical knowledge, but also enables them to apply what they have learned in practical applications. The development of artificial intelligence technology is transforming all walks of life, and big data analytics provides businesses with the ability to gain insight into market trends and customer needs. The laboratory not only cultivates students’ expertise in these technologies, but also emphasizes the ability to apply these technologies to solve real-world problems.
target
Cultivating excellent information analysis talents who can lead the development of future science and technology. Our students will learn how to apply advanced algorithms and big data techniques to solve complex problems that are essential for modern businesses in data-driven decision-making processes. Through close collaboration with the industry, our students take the opportunity to participate in the field of enterprises to help companies use advanced technology to solve problems and optimize their process and data integration and analysis capabilities.
Related Courses
Database management
To train students in designing, building and managing modern database systems. The course covers the basic concepts of relational databases, the theory and practice of database design, the application of SQL language, and the optimization and management of database performance. Students will learn how to model data, design relational data tables, and understand the principles of database formalization. In addition, the course will introduce database security and backup strategies to ensure data integrity and availability. Through hands-on exercises, students will learn how to use various database management systems (e.g., SQL Server, PostgreSQL) to handle complex data management tasks. This programme provides a solid foundation for specialization in the fields of information systems, software development and data analytics.
Business Intelligence
To develop students’ understanding and application of data analysis techniques to support business decision-making processes. Covering core topics such as data mining, data visualization, report generation, and performance management, this course allows students to learn how to aggregate and transform complex heterogeneous data into meaningful business insights. Through theoretical and practical exercises, students will develop the skills to use business intelligence tools to analyze and present data. In addition, the course explores how to use business intelligence to enhance competitive advantage, optimize business processes and drive innovation.
Machine Learning & Big Data
To provide students with an in-depth understanding of the core principles of machine learning and its application in the context of big data. The course covers the basic concepts of machine learning, algorithm design, model training and evaluation, and big data processing techniques. Students will learn how to use machine learning techniques to analyze large amounts of data to extract valuable information and insights. The programme also includes practical case studies and applications, enabling students to combine theory and practice to master the application of machine learning in the era of big data.
Sport Science
It is a discipline that explores the physiological and mechanical phenomena exhibited by athletes in the process of sports. This course aims to provide students with a comprehensive knowledge of exercise and health, covering the fields of biomechanics, data measurement and collection, data analysis, and image visual processing. Students will learn how to use scientific principles to analyze and improve athletes’ athletic performance, and learn how to improve fitness and performance through personalized training programs.
Laboratory
Laboratory Advisor Professor
Hu Nianzu
professor
Biography
Degree
- Jiaotong University
specialty
- algorithm
- Big data analytics
- Cross-domain integration
- System optimization
Presentations, judges
2024/08 AWA – Education & Training
2024/06 Lecture on Intelligent Manufacturing
2023/07 Yuanling Precision-AI Technology Education and Training
2022/01 Formosa Plastics Corporation – AI Finals Judge
2021/12 Chengda Hospital Lecture – Data Lake
2021/07 Qinghong Electromechanical Speech – AI Analysis
2021/04 Artificial Intelligence School Presentation – AI Case
2021/02 Formosa Plastics Group-AI Finals Judge
2019/12 LCY Group – AI Presentation, Judge
