Basic Curriculum
7 courses, choose 2 | Total of 5 credits | Only one course can be credited by relevant course
Intermediate Computer Programming - R Language Application
Basic course that introduces students to programming and big data analysis through learning the software RStudio and R language that are commonly used in big data analysis. Students will build data predictive analysis models with different packages and propose possible predictions from the given data related to education.
113-1｜FRI 5/FRI 6｜2 credits
GC_65080
Intermediate Computer Programming - R Language Application
Basic course that introduces students to programming and big data analysis through learning the software RStudio and R language that are commonly used in big data analysis. Students will build data predictive analysis models with different packages and propose possible predictions from the given data related to education.
113-1｜FRI 5/FRI 6｜2 credits
GC_65080
IoT, Maker, and Teaching Materials Design
Building up foundation of computational thinking and programming capabilities and help students construct concept of programs and the IoT. Skill of analyzing and processing big data will be reinforced in the other courses.
113-1｜Not Offered｜3 credits
GC_65430
Introduction to Artificial Intelligence
Introduce the principles, development and applications of AI. Explain AI technology with practical application examples of big data in education, and allows students to understand the sources, types and applications of open data in education. As well as to guide students to complete an educational big data analysis report to show how students use open data for analysis and prediction.
113-1｜Mon 5/Mon 6｜2 credits
GC_64640
Intermediate Computer Programming - R Language Application
Basic course that introduces students to programming and big data analysis through learning the software RStudio and R language that are commonly used in big data analysis. Students will build data predictive analysis models with different packages and propose possible predictions from the given data related to education.
113-1｜FRI 5/FRI 6｜2 credits
GC_65080
Introduction to Artificial Intelligence
Introduce the principles, development and applications of AI. Explain AI technology with practical application examples of big data in education, and allows students to understand the sources, types and applications of open data in education. As well as to guide students to complete an educational big data analysis report to show how students use open data for analysis and prediction.
113-1｜Mon 5/Mon 6｜2 credits
GC_64640
IoT, Maker, and Teaching Materials Design
Building up foundation of computational thinking and programming capabilities and help students construct concept of programs and the IoT. Skill of analyzing and processing big data will be reinforced in the other courses.
113-1｜Not Offered｜3 credits
GC_65430
Advance Curriculum
5 courses, choose 1 | Total of 3 credits | Only one course can be credited by relevant course
Database Management
Introduce the basic design principle of database and explain how to meet information requirements with database analysis functions. Allow students to obtain basic analysis and management abilities to develop database systems.
113-1｜No offered｜3 credits
IM_2090AA、IM_2090AB
Education Statistics
This course covers the fundamental concepts and applications of educational statistics, with practical exercises using statistical software (SPSS, JASP) aligned with the teaching schedule. The foundational concepts of educational statistics focus on "descriptive statistics" and "inferential statistics." The application part emphasizes using statistical software to analyze data, identifying and solving problems through data analysis, and applying the concepts of educational statistics to describe and explain educational phenomena.
113-1｜TUE 9/TUE 10/TUE 11｜3 credits
EAM__21200
Big Data and Business Intelligence
This course is aimed to cultivate students’ abilities in big data analysis, especially the development of analysis and prediction abilities applied in the fields of education and management.
113-1｜WED 4/WED 5/WED 6｜3 credits
IM__50160
Big Data Systems
This course is aimed to cultivate students’ abilities in big data analysis, especially the development of analysis and prediction abilities applied in the fields of education and management.
113-1｜Not offered｜3 credits
CSIE59960
Introduction to big data analysis
Introducing tools and technologies of big data analysis, and the basic theories of big data analysis, as well as special considerations in educational big data. This course will allow students to obtain practical experience in big data analysis and educational big data analysis through assignments.
113-1｜Not offered｜3 credits
CSIE35420
Practical Curriculum
2 courses, choose 1 | Total of 1 credits
Industry-Academy Cooperation and Practical Project of the Big Data in Education
Guide students to discover problems from data, learn to conduct analysis, come up with solutions, and verify the results. Students will have to participate in group works in this course, including workshops, corporate visits, hackathons, etc. Through group discussions and diverse learning methods, we hope to improve learning efficiency and achieve industry-academic cooperation.
113-1｜Centralized classes on Saturday｜2 credits
SE__11150
Introduction of Carcer planning and internships
This course is designed for third- and fourth-year students, aiming to assist them in career exploration and help them with short- and medium-term planning. It provides guidance on writing documents related to further education and job applications, as well as offering support for practicing and preparing for various types of interviews. The course aims to enhance students' competitiveness in their career development.
112-2｜Tue5/Tue6｜1 credit
IM__33610
—A total of 10 credits is required to complete this program—