Fudan University

The course aims to help students understand the causes of crime, the fundamental concepts and types of criminal policies, and develop a rational perspective on the role of criminal law and policy. It encourages students to focus on major social issues, enhance their legal awareness, and acquire knowledge for crime prevention, ultimately contributing to a stable and harmonious society.

This course is systematically organized around the creation of new value, processes of innovation management, and operation of new and emerging ventures in global environments. It covers major aspects of innovation and entrepreneurship strategy in countries such as U.S., Europe, Australia, China, and other emerging countries. 

This course uses Python as the medium to enable students to master the general ideas and methods of solving problems with computers. Students can master IPO (Input-Processing-Output) program structure, master basic control flow syntax, and be able to select data structures and related,  apply algorithms to complete simple computing tasks and have a solid programming foundation. For complex computational tasks, students can use a top-down modular decomposition approach to transform them into simple problem calculations. Students can use Python third-party libraries for data analysis and processing and AI applications (machine learning, natural language processing, etc.) solution, computer vision, etc.), and can be connected with more advanced artificial intelligence courses.

This course will comprehensively introduce the basic concepts, mainstream structures, learning paradigms and key applications of deep learning technology based on neural networks that have been developed in recent years.

This course not only enables students to establish the basic concepts and knowledge of aerospace technology. In addition, it is more important to broaden students' horizons, expand their knowledge, cultivate their interest in aviation, study aviation, and devote themselves to the aviation industry, enable them to initially establish an awareness of aerospace engineering, stimulate their enthusiasm for learning subsequent professional courses and their thirst for knowledge about future technology, and cultivate a good atmosphere of courage to explore and innovate.

This course introduces cases and techniques of managing marketing programs in Mainland China. Students analyze cases, identify marketing strategies, propose corrections to elements of the marketing mix, and demonstrate problem solving and decision-making abilities through group work and projects. The course starts with an introduction to marketing management in China, and then discusses such topics as marketing strategy, creating value, choosing customers, communicating value, going to market, capturing value, brands and branding, managing customers, and sustaining value. 

This course is designed for senior international students majoring in Chinese language (for foreign learners) with a focus on language and culture. It aims to help students understand the main characteristics of the Chinese language by comparing the similarities and differences in expression methods and syntactic structures between English and Chinese. Additionally, through practical translation exercises from English to Chinese, the course seeks to reinforce and deepen students' understanding of Chinese and enhance their ability to express themselves more accurately in Chinese. The ultimate goal is to increase students' interest in English-Chinese translation and cultivate their basic translation skills.

The course "AI Marketing" aims to cultivate students' practical business skills by combining cutting-edge marketing theories with the latest industry practices through AI technology. 

This course examines the evolution of Chinese ancient architecture, including the main characteristics of ancient architecture in different historical times. It focuses on the official style buildings in the Song and Yuan dynasties and the Ming and Qing dynasties. 

This course focuses on data analysis and guides students to learn a series of data analysis methods. It covers the use of different data analysis tools for data analysis. It covers data acquisition, data cleaning, data selection, data manipulation, data calculation, data grouping and time series, etc. Based on the theoretical understanding, students will learn to use Excel and Python programming language to process data.