Fudan University

• 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).

Understand the basic laws of the interaction process between "learning" and "teaching"; master the psychology of students and teachers, master the general laws of students' physical and mental development, and the general laws of teachers' growth; be able to memorize and understand the principles of learning The nature, process and basic conditions of general learning, and master the general rules of individual learning. Master the basic principles of instructional design.

To enable learners to better understand the psychology of students and teachers, love teaching, care about the overall development of students, and invest more emotions in teaching.
To be able to consciously apply the educational psychology theory and knowledge learned in the practice of international Chinese education. Specifically: to be able to use the knowledge of educational psychology to explain actual teaching activities and designed educational teaching activities.

Educational psychology is a science that studies the basic laws of the interaction between learning and teaching through scientific methods. The content of educational psychology courses is organized around the process of interaction between learning and teaching, including learning psychology, teaching psychology, student psychology and teacher psychology. Four major parts. After taking this course, students should be able to understand and master the relevant theories of educational psychology, and should be able to consciously apply what they have learned to international Chinese education or other related teaching practices.

Teaching Objectives: Through the study of these contents, students will understand the basic concepts of multimedia technology, master the fundamental theories of multimedia technology, and the usage of commonly used multimedia tools. They will also gain knowledge on multimedia software development and multimedia production, laying a solid foundation for future research and development in the field of multimedia. Students will also learn about the current status and practical demands of multimedia technology, professional ethical requirements for multimedia practitioners, and ethical influences.

Overview: This course provides a comprehensive introduction to multimedia technology, including its definition and key characteristics, acquisition and processing of audio-video information, multimedia data compression and encoding techniques, and multimedia network communication technology.

The primary objective of the course is to learn how to define and develop a business opportunity for a venture a novel and innovative idea. Design discipline including human centered approach, design thinking methodology and lean startup theory and many case studies of the business model innovation will be introduced to support, to create and nurture each business idea. 

The word “design” has been a common keyword for many industries to identify and solve their problems. The positive side of this trend is that everyone becomes aware of the value of design. However, design eventually occupies a very limited area in startup culture, mainly for aesthetics, communication process, and user experience. While the startup eco system understands that “design” can be a big part of creating company’s value, yet, it is still hidden in the mysterious box which only design professionals can understand or access. Design Driven Innovation and Entrepreneurship (DDIE) is a course for non-design background students who are willing to integrate the knowledge between Entrepreneurship, Innovation and Design. The course offers a mix of hands-on exercises in a collaborative setting, as well as dedication to a group project. Throughout the course, you will be coached about the set-up and execution of your group project. During the course students pay attention to the different parts and dimensions of a business: services, products, customer value, delivery processes, revenue models, and interfaces with customers, branding message, customer experiences and much more. This course will offer lectures and hands-on practices. 

·learn new approaches and methods for design thinking and business innovation

·apply these approaches your group in generating and developing innovative ideas

·develop an entrepreneurial business opportunity, design, prototype, test

·make MVP and business model system map 

Course Objective

1.         Have a basic understanding of quantitative instrumental analysis that involves electromagnetic radiation, spectroscopy, mass spectrometry, electrochemistry, and chromatography.

2.         Be familiar with modern methods for the analyses of chemical substances in a variety of matrices, and the interpretation of data obtained from such analyses. 

3.         Be able to do calculations associated with the quantitative instrumental analyses.

4.         Be able to draw conclusions based on analyses and calculations.

Instrumentation course will introduce the basis of electromagnetic radiation, Mass Spectra as well as chromatography. Students in this course will understand the theories, methodology, and structure of the related instruments.

This course will use “Principles of Instrumental Analysis” as the major reference book, combined with knowledge of up to date modern instruments (from department lab as well as the newest literature). Student will have the elemental capability to solve practical problems by using various instruments.