Thoughts on the Construction of Artificial Intelligence Courses in Oil and Gas Industry Colleges—Taking Machine Learning Courses as an Example

Abstract

Abstract: With the rapid development of artificial intelligence (AI) technology, its role in various disciplines is becoming increasingly important, especially in the oil and gas industry and geology, showing broad application prospects. This paper takes the machine learning course of geology major in China University of Petroleum-Beijing at Karamay as the research object, and discusses the design and optimization path of AI interdisciplinary courses. By systematically analyzing the current status of course teaching, this article summarizes the practical effects and existing problems of machine learning courses in the teaching of geology majors, and proposes corresponding teaching strategies and improvement suggestions, in order to provide references for the construction of related courses.

Key words: Artificial intelligence, Oil and gas industry, Geoscience major, Machine learning, Course optimization, Teaching improvement

CLC Number:

G642

CUI Lijie, LIU Ying. Thoughts on the Construction of Artificial Intelligence Courses in Oil and Gas Industry Colleges—Taking Machine Learning Courses as an Example[J]. The Theory and Practice of Innovation and Enntrepreneurship, 2026, 9(4): 101-103.

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