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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 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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‘'Communications and networks" is one of the ten core course of Dept. EE, Tsinghua University. Based on the systematic roadmaps and scientific theories of course reform progress of Dept. EE, this course focuses on the interactions of information barrier and system, or more specifically, the interactions of data packets and networks.
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