Course Arrangement
Enrollment status: Enrolling
Course time: rolling classes
Course method: Zoom remote live teaching
Course schedule: 21 class hours for the main academic tutor + 9 class hours for the academic associate tutor + 6 class hours for the main thesis tutor + 21 class hours for the deputy thesis tutor, lasting 7 weeks
Course Description
In the context of the digital age, "everyone must learn programming" and "everyone must know statistics" are becoming more and more important in the fields of humanities and social sciences. In recent years, massive amounts of data gathered by platforms such as the Internet, mobile Internet, and the Internet of Things have emerged in an endless stream, providing unprecedented opportunities for scientific research. For scientific researchers and managers of large enterprises, the greater need is to analyze the constantly updated media and how to use massive amounts of information to perform data analysis and extract valuable information in the context of big data. New media and computer courses Interdisciplinary fields also emerged.
Suitable For
Students have good English communication skills; they hope to become intelligent thinkers with a desire to explore knowledge and research.
Students who are interested in today's big data and its applications and want to learn about media communication /sociology/computer/statistics.
Professor Introduction
Tenured professor at the University of Pennsylvania
Manuel Gonzalez Canche
Won the University of Arizona Visiting Scholar Award for "How Community Colleges Use Social Media to Improve Student Success Rates"
Author of media papers such as "Social Media in Higher Education: Literature Review and Research Directions"
Co-mentor of Penn School of Human Development and Quantitative Methods and International Educational Development Program
Served as a research scholar mentor at ICQCM (Interdisciplinary Research Institute)
Research scholar in the fields of social media, higher education, and community colleges
TA Introduction
Education background
Master’s/PhD background from TOP30 prestigious universities at home and abroad, over 40% of the team’s PhD students are
Professional and excellent
Have experience in publishing papers in relevant professional fields
Experience
Excellent academic performance & fluent in English, with many years of experience as a teaching assistant
teaching orientation
Seamlessly connect professor topics and participate in teaching and delivery throughout the process
Program Advantages
Complete course hours that meet the academic program requirements of colleges and universities
A complete scientific research project under the personal guidance of the professor
A true and valid recommendation letter personally issued by the professor
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