Program Description
The curriculum description for the Data Science and Artificial Intelligence program includes the following sections: General Introduction (objectives, learning outcomes, job opportunities after graduation), Curriculum Framework (general, foundational, and specialized knowledge blocks, internship, graduation thesis), Course summaries, and Assessment methods.
Main sections of the curriculum description:
Training Objectives:
The Data Science and Artificial Intelligence (DS&AI) program aims to train graduates with strong political integrity, professional ethics, high responsibility, and good health; possessing in-depth knowledge and proficient professional skills; having the capacity for creativity, self-learning, and self-research to continuously improve their skills; having an entrepreneurial spirit and international integration; contributing high-quality human resources to the fields of DS&AI and modern agriculture.
Learning Outcomes: Graduates possess professional competence, soft skills, foreign language proficiency, and the ability to solve practical problems.
Course Structure: General Knowledge, Fundamental Knowledge of the Major, Specialized Knowledge, Internship & Graduation Project/Thesis.
Course Summary: Information for each course: name, number of credits, objectives, content, teaching methods, assessment.
Training Methods and Forms: Theoretical learning, practical exercises, seminars, project work.
