Fudan University

Informatization is a historical process that makes full use of information technology, develops and utilizes information resources, promotes information exchange and knowledge sharing, and promotes the development and transformation of human society. This course strives to integrate the concepts, characteristics and development history of informatization into classroom teaching, cultivate students' informatization thinking, inspire inspiration for informatization innovation, promote students' thinking and practice, and develop innovative spirit, entrepreneurial awareness and innovation and entrepreneurship capabilities.

Information thinking is creative thinking that uses an information perspective to understand, analyze, and process things. It is a way of thinking that examines things from the aspects of information collection, transmission, storage, processing, sharing, and utilization. Informatization includes not only information technology means, but also changes in management and services. This course first introduces the basic concepts and basic characteristics of information thinking, then introduces the design and implementation of information systems and the changes they bring to management and services, and organizes students to think and practice the information applications around them inside and outside the classroom.

The course aims to make students understand the development history of database technology and the current status of database technology and products in China. It familiarizes students with the architecture and basic concepts of database systems, and provides them with the basic principles and methods of database design. Students are expected to have the ability to independently design database schemas and develop database applications.

Basic Content Overview: The course covers the following topics:

1. Development history of database technology and typical database products.
2. Relational model and database query language, including the basic structure of a relational database, relational algebra, tuple relational calculus, domain relational calculus, and the basic syntax and common usage of SQL.
3. Basictheoriesandmethodsofdatabasedesign,includingtheentity-relationship model, database design normalization theory, functional dependencies, and their applications.
4. Practical issues in database design, including design case analysis, database  optimization, storage structure and indexing, and transaction management.

This course first gives a general overview of the financial system, and makes some comparisons between China and US. The main focus is on the basic economic principles behind the operation of the financial system and financial markets, and how the financial system is related to the real economy. The course is divided into four parts. The first part introduces the structure and function of major financial markets. The second part presents the central bank and its monetary policy. The third part introduces how banks provide liquidity and other financial institutions. Lastly, I will also choose actual events that occurred during the course to conduct analysis and draw conclusions, aiming to help students develop practical, analytical and thinking abilities.

1. Through teaching, students will have a preliminary understanding of the legal provisions, institutional design, and theoretical perspectives of China's tort law.
2. Enable students in class to have a preliminary understanding of the constituent elements of tort liability, which can be used to analyze cases and solve practical problems.

The first part is the General Principles of Tort Law (General Tort), including: the scope of protection in tort law, the principle of liability attribution, the constituent elements of general torts, and the reasons for reducing and exempting liability; The Distribution Rules of Majority Tort Liability

The second part is the specific provisions of the Tort Law (special torts and typical torts), including: guardian's liability, employer's liability, network tort liability, tort liability for violating security obligations, tort liability of educational institutions, and medical liability

Liability for medical damage, environmental pollution, high risk, animal husbandry damage, object damage, etc.

• Basic English skills in the field of linguistics in general and Chinese language studies in specific.

• Topics
1. Introduction
2. The History of Chinese
3. The Chinese Script
4. The classical and literary languages
5. The rise and development of the written vernacular 6. The modern standard language I
7. The modern standard language II
8. Dialectal variation in North and Central China

9. The dialects of the Southeast 10. Languages and society

10. Languages and society

Through the study of this course, students will have an in-depth understanding of China's reform and opening up process, understand the characteristics and laws of contemporary China's economic development, and understand and master the socialist economic theory with Chinese characteristics.

Summarize and sort out the historical process and current situation of China's economic system reform, explore China's state-owned enterprise management system, land system, employment and income distribution system, analyze China's economic development strategy, industrial structure adjustment, rural issues, foreign economic and trade relations, etc. .

This course is a core course in the field of computer science. The focus of the course is to introduce students to the basic knowledge and algorithms in the field of artificial intelligence, and guide them to use artificial intelligence models to solve real-world problems in the era of big data through practical projects in the course.

Brief Introduction to the Course Content: The content of this course mainly covers several basic modules in the field of artificial intelligence, from simple to complex, gradually explaining the principles and techniques used by intelligent agents to solve real-world problems. Specific content includes: search algorithms (basic search algorithms for trees and graphs, etc.), Markov decision processes (Markov models, etc.), game algorithms (Alpha-Beta pruning techniques, etc.), uncertain information reasoning methods (Bayesian models), and knowledge representation methods (first-order, higher-order, and semantic representations, etc.). Through the combination of course practice, students will be provided with means and methods to solve real-world big data problems.

This course requires students to have the ability to write simple programs using Python or be able to quickly grasp the use of Python. Prerequisites for the course are computer data structures and foundations of probability theory. By studying this course, students will understand some core issues and applications in the field of artificial intelligence, and master the relevant principles and algorithms. In addition, students will acquire the ability to write, maintain, and test Python language, and be able to use Python to solve real-world problems.

(A) Through the basic skills of rhythmic gymnastics teaching, cultivate students' good body posture and movement sense of rhythm, rhythm, beauty and expression.

(2) Develop students' flexibility, agility, jumping and other special physical qualities, improve students' balance and coordination ability, strengthen strength and endurance training, and develop their physical qualities in an all-round way.

(3) Through the teaching of rhythmic gymnastics, students can establish a correct aesthetic view, improve their musical quality and viewing ability, and cultivate elegant sentiments.

(4) Health education should be carried out in teaching, and rhythmic gymnastics should be closely linked with health and lifelong physical education.

(1) Take conducting as a platform to immerse the body into music learning, which is particularly important for students who have never learned instrumental music!

(2) Cultivate the ability of multi-part cooperation in music.

(3) Train the stage sense of music performance, and establish their own method of learning music in the future.

This course is a combination of conducting and chorus teaching content, divided into online and offline two parts. Part of the teaching time requires students to study online at home. Offline classroom teaching is mainly based on demonstration teaching techniques, supplemented by practical training. In addition, some exercises with teaching and practical value need to be completed by students after class.

Course Objective

1．To be familiar with the basic concepts of multivariate distribution theory and multivariate statistical analysis methods

2．To master the statistical ideas and mathematical principles of common multivariate statistical analysis methods.

3．To understand the application of multivariate statistical theory in numerical calculations and machine learning.

Course Content

Basic knowledge of probability theory and linear algebra, definition and properties of multivariate normal distributions (maximum likelihood estimation, properties of estimators, sampling distribution of sample means), applications of multivariate normal distributions in numerical calculations, central limit theorem, testing of multivariate statistics (likelihood ratio test, Hotelling T2 distribution), matrix element distribution (Wishart distribution and inverse Wishart distribution), topic model (Latent Dirichlet Allocation), Principal component analysis (probabilistic principal component analysis and EM algorithm).