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Competitive Strategy
Fundamentals of Reinforcement Learning
Mathematical Economics
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Delve into the principles of New Institutional Economics through theoretical frameworks and real-world Chinese economic reform cases, exploring property rights, transaction costs, and institutional arrangements.
《资源经济学》为采矿工程专业本科生学位必修课。课程全面系统地学习矿产资源的相关知识,了解世界矿产资源概况、我国矿产资源的基本特点、我国矿产资源开发利用存在的主要问题等。
微观经济学是经济学专业的核心必修课程,也是学习经济学的基础;学习经济学,需要从微观经济学开始!
Master international finance fundamentals in English, covering forex markets, exchange rates, international payments, monetary systems, and derivatives trading while developing practical cross-border business skills.
Discover the principles of insurance and risk management, from basic concepts to practical applications in personal finance, property protection, and life insurance strategies.
本课程是博士研究生思想政治理论课必修课程。学习本课程是要进一步深化对中国特色社会主义理论体系的学习和掌握,进一步提高运用这一科学理论体系分析和理解当代中国和世界重大问题的能力。
Explore the core principles of political science, covering state theory, power dynamics, party systems, democratic models, justice theories, Chinese governance, and traditional political thought.
Explore data law fundamentals, global governance frameworks, and regulatory experiences across major jurisdictions, with practical case studies to understand personal information protection and cross-border data flows.
探索西班牙与拉丁美洲艺术发展历程,从远古时期到现代,通过经典作品赏析、文化关键词解读和跨学科视角,全面了解这一丰富多元的艺术传统。
Explore the principles of automatic control systems, from mathematical models to time and frequency domain analysis, system correction, and practical applications through hands-on experiments.
Explore the fundamentals of automatic control through hands-on experiments using LabVIEW and NI ELVIS platform, covering time domain analysis, frequency response, system correction, and practical applications.
Master 分析化学的基本原理和应用,从化学分析到仪器分析,涵盖物质组成检测、环境监测和质量控制等领域,培养严谨的科学研究能力和实践技能。
本课程主要应用于自动控制、信号处理等诸多领域;学习矩阵范数、分解、定性等内容,可以提高科学计算、逻辑推理及解决问题能力,激发创新潜能,培养良好的数学思维和素养。
Discover the fundamentals of life sciences through an integrated journey from cellular basics to human evolution, emphasizing practical applications and cutting-edge biotechnology developments.
Dive into comprehensive autonomous vehicle technologies, from environmental perception and deep learning to SLAM, decision-making, motion planning, and connected vehicle systems.
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