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This course is an introduction to algorithms. Lectures are about the fundamental skills of algorithm design and analysis. The course will teach the students how to analysis the asymptotic performance of algorithms with the growth of functions, as well as the probabilistic analysis and amortized analysis. Basic algorithm design skills such as divide-and-conquer, dynamic program functions and greedy algorithm are also included. Some specific topics, such as sorting algorithms, string matching algorithms, NP completeness theory and approximation algorithms will also be discussed.
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This course introduces the major theories and research methods of interpersonal communication and explains how they can be applied to effective communication in a variety of specific interpersonal relationships. Topics discussed include privacy and communication, nonverbal interpersonal communication, computer-mediated interpersonal communication, and social networks. The program is designed to incorporate cutting-edge academic and industry developments and to foster an international perspective.
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Artificial intelligence is the technology that is commonly recognized to have profound impact to the economy and every aspect of human life. This course will focus on exploring how AI affects various aspects of the economy. We will focus on discussing the effects of AI on macroeconomics, labor market, education, as well as how AI combined with big data will transform business strategy, including issues such as individualized recommendation system, market design, data trading, etc. We will also discuss more fundamental ethnical issues such as privacy concern, algorithm discrimination, inequality and welfare. We will then have a better understanding of government policy regarding the AI technology.
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The course carries a three-fold purpose: to raise our readerly patience and sensitivity, to showcase aspects of western culture, and to help enhance our English language skills. A mixture of lecture and discussion will form the main classroom activity.
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Chinese Language (Foreign Language) is an undergraduate major offered by Fudan University for international students from all over the world. "Chinese Modern and Contemporary Literature" is a compulsory course of this major, which is divided into two parts: "Chinese Modern and Contemporary Literature (first)" and "Chinese Modern and Contemporary Literature (second)". It is a major backbone course for international students to study for one academic year after entering the third grade.
As a professional literature course for international undergraduates, the design and implementation concept of this course not only strives to show the overall style of modern and contemporary Chinese literature with time as the history and works of writers of different styles as the background, but also hopes to take emotion, humanity and values as the main line. To present Chinese society and the Chinese people in the literary world in a broader interdisciplinary perspective of literature, culturology and sociology, and to interpret China through literature.
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This course is a Chinese course specially offered for international postgraduate students in the school. The difficulty of the course is intermediate. In this class, students will focus on learning various language skills such as listening, speaking, reading, and writing. In particular, they can learn some key function words and complex sentence patterns, understand written words in Chinese, and learn about written words in Chinese. There are writing exercises, and the teacher will mark them carefully. After taking this Chinese course, you can discuss some non-professional social topics with your classmates, read general Chinese articles, and write your thoughts into short articles in Chinese.
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This course is designed to introduce the fundamental concepts and implementations of modern database management systems. This is not a course that teaches you how to use a database to build applications (e.g., schema design, SQL programming). It is designed as a systems course with an emphasis on database internals. Prior experience with databases is NOT expected. Upon successful completion of this course, the student should feel confident taking a job as a database developer or conducting database-related research in graduate school.
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This course has a total of 32 class hours and is a beginner Chinese language course for international graduate students throughout the school. This course divided into two categories: (1) One is related to the content of the beginner Chinese (A) course, which requires students to have studied Chinese for at least 48 hours and master 200 Chinese vocabulary. Through the course, students will further expand their vocabulary, master more complex grammar, and fluently communicate with others on topics such as weather, gift giving, and being guests. (2) The other type is a single course for majors such as EMBA and GMBA. The course content is aimed at students with zero foundation in Chinese through course learning, students can master the basic knowledge of Pinyin, understand the basic structure of Chinese characters, master basic vocabulary and grammar structure, and be able to use the learned vocabulary to communicate on topics such as self introduction, time, and schedule.
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With the development of Internet, multimedia data have become increasingly accessible, such as images, audios, videos, texts, etc.; the advances of artificial neural networks (e.g. large multi-modal model GPT4) have also made multimodal fusion a general trend in Al. This course covers applications including image/video processing generation, audio/ speech processing and generation, natural language processing and generation. It introduces popular signal processing and machine learning techniques in the artificial intelligence field, such as data representation, data compression, sequence models, data synthesis, multimodal fusion, etc. Through lectures and course projects, students learn about the features of different signals, and their common ground.
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In this course, we shall read five to six European novels from the late 19th century to the late 20th century, by such writers as Dostoevsky, Proust, Woolf, Kafka, and Camus. We shall consider the following questions, among others: What have these authors discovered about the self, for example, about the richness and opacity of the inner life, about self-knowledge and self-deception, about possibilities of redemption through love, art or memory? In what ways do the novels we read reflect upon—or even intimate beforehand—the unfolding of European socio-political life over the course of a crisis-laden century? How do these authors ponder questions of individual responsibility, guilt and conscience, and do they, in their largely post-Christian era, propound any alternative possibilities of transcendence? How does each writer’s art of narrative extend or transform our consciousness of time and space and help us reinterpret personal experience and collective history?
Pagination
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