李向阳和张兰老师的学术水平有目共睹。据我所知，张兰老师博士期间，是中国大陆网络系统领域发表顶级论文最多的，因此被李向阳院长引进为特聘研究员。

这门课程也是非常有创新性的。把大数据和密码学两个领域结合起来，讨论大数据时代的隐私保护问题；把大数据和博弈论两个领域结合起来，应对大数据系统的经济学挑战。

The course will start with a review of necessary background topics in cryptography (such as number theory, basic conventional encryption methods, basic public key cryptosystems, basic digital signature systems, and zero knowledge proof systems), game theory (such as auctions), big data basics, and machine learning/deep learning basics. We will then discuss applications of cryptography and auctions in big data processing and trading. New and emerging topics in both theoretical research and applications will be presented as well. The goal of the course is to provide students with the necessary foundations to apply cryptography, game theory, and machine learning techniques in new and emerging big data fields. The focus of this class is to discuss and understand the security/privacy and economics challenges in data systems.