Abstract—Taking the case driven “Principles and Applications of Big Data Analysis” course ideological and political education as the research object, we analyze the current problems of ideological and political education in science and engineering courses in universities, and propose an overall design framework for course ideological and political education. The principles and criteria for case selection were provided, while typical cases were provided for the four ideological and political elements of science and technology: Serving the country, scientific thinking, engineering ethics, and craftsmanship spirit. The specific implementation methods of case discussions were also introduced in detail. Through a questionnaire survey, it was found that case driven curriculum ideological and political education has a positive impact on students’ learning effectiveness and ideological and political literacy. This study provides new ideas and methods for the ideological and political education of science and engineering courses in universities, and has certain significance for the practice of ideological and political education in science and engineering courses in universities. 
 

Keywords—case driven, serving the country, scientific thinking, engineering ethics, craftsmanship spirit 
 

Cite: Mo Hai and Haifeng Li, "Research and Practice of the Course Ideological and Political Education in the Case-Driven “Principles and Applications of Big Data Analysis” Course," International Journal of Learning and Teaching, Vol. 10, No. 5, pp. 554-559, 2024.