Computer Science and Technology (Academic Degree)

By Wed, 25 Dec 2013 GMT


Discipline:Computer Science and Technology (Academic Degree)

The graduate students trained from this discipline have a solid background in basic computer theory and comprehensive professional skill. They also have more in-depth knowledge in one or more of the research directions including Computer System Architecture, Computer Software and Theory, Computer Application Technology, Network Information Retrieval and Content Understanding, and Digital Culture Dissemination. They have strong practical ability and innovation capability; they can carry out research and development or management responsibilities independently in related fields; they have a rigorous and realistic style of study and high professional ethics. They are the high level research and application talents in computer science and technology who meet the needs of the socialist modernization of our country.

This discipline requires the students to have three years of study in general. Main courses include:

Common Courses for the degree:Dialectics of Nature, The Theory and Practice of Scientific Socialism, English

Foundation Courses for the degree: Computer System Architecture, Algorithm Design and Analysis, Artificial Intelligence Principles and Applications, Formal Language and Automata Theory, Combinatorial Mathematics, Stochastic Processes and Applications, Information Retrieval and Search Engines, Information Theory, Probability and Mathematical Statistics(make up course)

Professional Courses for the degree::C++ and data structures advanced training , JAVA and data structures advanced training, XML and Applications

Elective Courses: Methods of Scientific Research and Utilization of Literature, Professional English Training, Scientific Information Retrieval, Second Foreign Language, Advanced Network Technology, Embedded Systems and Applications, Distributed Systems, Parallel Computing, Network Security, Data Security Techniques, Advanced Software Engineering, Software Modeling Techniques, Model Driven Program Design Methodology, Software Automated Testing Tools and Practices, Data Warehouse and Data Mining, Natural Language Processing, Information Retrieval and Search Engines, Voice Recognition and Image Recognition, Graphical Image Processing, Multi-media Technology

Required Training: Lecture on Frontier Trends, Teaching Practice, Education on Situation and Policies, Academic Ethics and Academic Specifications, Psychological Health, Literature Summary and Proposal for Degree Project, Degree Thesis

Sub-discipline I:Computer System Architecture

This discipline recruits full-time academic master students and began recruiting in 2011.

The students trained in this discipline have a solid background in basic computer theory and comprehensive professional skill. They also have more in-depth knowledge in one or more of the research directions including Network Security and Performance Evaluation, Computer Security and Data Recovery, Embedded Applications, Cloud Computing, Internet of Things, etc.

This second level discipline has 4 research pathways:

Pathway A:Network Security and Performance Evaluation

Mainly studies network security technologies in the national backbone information network and important information systems. This research direction studies the theories and techniques in large and complex network systems in the areas of network survivability, active real-time defense, safe storage, network virus prevention, network trust system, auditing within networks, network system quality of services, network performance evaluation and optimization, etc.

Pathway B: Computer Security and Data Recovery

Mainly studies computer asset safety; that is, preventing system assets and information assets of computer systems from threat and hazards caused by natural and human factors. This research direction studies the techniques for protecting the safety of programs and data stored in computer systems including anti-computer-virus techniques, data encryption and decryption techniques, electro-magnetic radiation protection techniques, and disk data recovery and backup techniques.

Pathway C: Embedded Applications

Mainly studies embedded system architecture, embedded system basic hardware platforms and related technologies, embedded system development tools and environments, embedded system application technology, etc.

Pathway D: Cloud Computing and Internet of Things

Mainly studies the system architecture and key techniques of new generations of networks. This research direction focuses on cloud computing architecture in new network environments, cloud computing safety and reliability, Internet of Things related RFID techniques, sensor network theory and technology, and intelligent data fusion theory and methods.

Sub-discipline II: Computer Software and Theory

This discipline recruits full-time academic master students and began recruiting in 2011.

The students trained in this discipline have a solid background in basic computer software theory and comprehensive professional skill. They also have more in-depth knowledge in one or both of the research directions of software modeling theory and methodologies.

The research direction of this second level discipline is software modeling theory and methodologies. This research direction studies software modeling languages and methods, model driven program design theories and methods, software model rebuilding theories and methods, software model reengineering techniques, and model driven software development methods and supporting tools and environments.

Sub-discipline III: Computer Application Technology

This discipline is one of the key-construction disciplines of Beijing Municipality. It recruits full-time academic master students, and the recruiting started in 2002.

The students trained in this discipline have a solid background in basic computer software theory and comprehensive professional skill. They also have more in-depth knowledge in one or more of the research directions of multi-media, intelligent information processing, smart warehouse and logistics, etc.

This second level discipline has three research pathways:

Pathway A:Multi-media Technology

Mainly studies:

Multi-media information representation models. Representing multimedia information by building structural models and retrieving the information efficiently.

Virtual reality and virtual environments. This includes the theorems and methods of 3D representation and 3D re-building of large scale virtual environments, physics-based virtual environments and real time computing methods, human computer interaction technology, perception-oriented knowledge representation, behavior models in real time virtual environments, etc.

Streaming media technology. It studies the streaming media technology that focuses on multi-view video.

Pathway B:Intelligent Information Processing

Mainly studies:

Intelligent techniques and strategies for document understanding.

Techniques for speech enhancement in noisy environments, speech recognition and synthesis.

Techniques for coordination of intelligent objects.

Key technologies of digital information processing in the areas of: digital voice communication, robotics, textile electronics, information appliances, and automobile electronics.

Application study in related areas.

Pathway C:Smart Warehouses and Logistics

Mainly studies:

Design and implementation methods for information management systems of 3-dimensional smart warehouses.

Task scheduling and algorithms for surveillance and scheduling of multi-equipment.

Methods and techniques for logistic distribution with multiple optimization objectives and based on RFID and intelligent transportation.

Application methods and techniques of Internet of Things in logistics.

Sub-discipline IV:Network Information Retreival and Content Understanding

This discipline recruits full-time academic master students and began recruiting in 2011.

The students trained in this discipline have a solid background in basic computer software theory and comprehensive professional skill. They also have more in-depth knowledge in one or more of the research directions of information retrieval and knowledge mining, semantic network and document information processing, language information processing and understanding, etc.

This second level discipline has 3 research pathways:

Pathway A:Information Retrieval and Knowledge Mining

Mainly studies:

Retrieval techniques based on Chinese document contents and semantic information, document data mining techniques, information filtering and content security, etc.

Competitive information tracking and analysis, internet information tracking and collecting, and intelligent processing of collected information.

Content-based multimedia information retrieval techniques, information representation of network information resources, dissemination and discovery service models, multi agent cooperation, etc.

Pathway B: XML and Document Information Processing

Mainly studies:

Syntax, semantics, and structures of modern markup languages.

Technologies of Information sharing, internationalization/localization, and standardization based on markup languages.

Markup language technology and its applications in e-government, e-commerce, etc.

Semantic representation and deduction.

Publishing on demand and cross-media publishing techniques.

Structure model and format description of office documents, format converting techniques.

Basic standard systems of office software.

Pathway C: Language Information Processing and Understanding

Mainly studies:

Building of Chinese text corpora and language information resource bases with the characteristics of Chinese information processing intellectualization and humanization.

Evaluation technology for Chinese text corpora.

Intelligent text document validation and error correction techniques.

A information retrieval and filtering systems in the restricted Chinese language domain.

Automatic document summation and mining techniques.

Techniques of lexical analysis, syntactical analysis, and semantic analysis of natural language.

Sub-discipline V:Digital Culture Dissemmination

This discipline is established jointly by the Computer School and the Department of Humanities and Social Science. This discipline recruits full-time academic as well as professional master students and began recruiting in 2013.

The graduate students trained in this discipline have good ideology, morality, and professional ethics and a solid background in basic computer theory and comprehensive professional skill. They also have more in-depth knowledge in the areas of Digital Media Technology, Public Opinion Monitoring and Analysis, Network Culture Dissemination, etc. They have strong practical ability and innovation capability as well as good communication and cooperation capability; they can carry out research and development or management responsibilities independently in related fields. They are to become high level research, application, and combined talents in the areas of computer network information processing, culture dissemination, and digital media; they meet the needs of the socialist modernization of our country.

This second level discipline has three research pathways:

Pathway A: Digital Media Technology

Includes mainly: different forms of media supported by digital technology including digital text, graphics, images, voices, video image, animation, etc; digital media processing techniques and applications based on computer technology, communication technology, information processing technology covering areas of network media, mobile media, computer animation, digital television, digital publication, virtual reality, digital creativity, etc.

Pathway B: Public Opinion Monitoring and Analysis

Includes mainly: network public opinion that is the main research object, that is the summary of interleaved different emotions, attitudes, and opinions disseminated through networks. This research direction emphasizes on applications areas where the multi-disciplines cross and overlap. The direction of Public Opinion Monitoring and Analysis studies mainly the techniques and methods for discovering, mining, processing, and judging network public opinion including techniques for collecting and filtering public opinion, techniques for discovering and tracing topics of public opinion, techniques for the analysis of public opinion trends, public opinion trend prediction, crisis response, etc.

Pathway C: Network Culture Dissemination

Includes mainly: the dissemination rules and characteristics of all the cultural activities, their values of connotation, and their forms, which are supported by network technology and derived by information transformation, which are the tools and means based on and derived by the internet, the communication networks, and the way of behavior, the way of thinking, the life style, the value characterized with information transformation, resource sharing, and communication and interaction. The research subjects include the evolution of cultural forms, the process of network culture dissemination, the contents, effects, subjects, audience, etc. of the dissemination.

Main courses in this discipline include:

Common degree courses: Dialectics of Nature, The Theory and Practice of Scientific Socialism, English;

Foundation courses for the degree: Introduction to Digital Media, Computer Networks and Applications, Multimedia Technology, Information Retrieval and Search Engines, Introduction to Social Networks, Theory of Communication Science, Research Methodology of Communication Science;

Common elective courses: Methods of Scientific Research and Literature Utilization, Science and Technology Writing in English, Science and Technology Information Retrieval, Second Foreign Language;

Professional elective courses: Document Information Processing, Natural Language Processing, XML Application Technology, Artificial Intelligence, Virtual Reality and Applications, Web Program Design, Audio-visual Languages, Art of New Media and its Representation, Public Opinion Study, Public Relations Crisis and Opinion Guidance, Digital News Editing, Media Criticism, History of Dissemination of Ideas, Special Study on Network Culture, Study on Dissemination of Psychology, Special Study on Intellectual Property Rights, and Cross Culture Dissemination Practice;

Required Training: Lecture on Frontier Trends, Digital Media Project Practice, Education on Situation and Policies, Academic Ethics and Academic Norms, Mental Health, Literature Summary and Degree Project Proposal, Degree Thesis.

Sub-discipline VI:Computational Linguistics

This discipline is established jointly by the Computer School and the Foreign Language School. This discipline recruits full-time academic master students and began recruiting in 2014.

The graduate students trained in this discipline have good ideology, morality, and professional ethics and a solid background in basic computer theory and comprehensive professional skill. They also have more in-depth knowledge in the areas of Language Information Processing and Understanding, Internationalization and Localization Information Processing, Computer Aided Foreign Language Teaching and Computer Aided Translation, etc. They have strong practical ability and innovation capability as well as good communication and cooperation capability; they can carry out research and development or management responsibilities independently in related fields. They are to become high level research, application, and combined talents in the area of natural language information processing; they meet the needs of the socialist modernization of our country.

This second level discipline has three research pathways:

Pathway A:Language Information Processing and Understanding;

Pathway B:Internationalization and Localization Information Processing;

Pathway C:Computer Aided Foreign Language Teaching;

Pathway D:Computer Aided Translation, etc.

Main courses in this discipline include:

Common degree courses: Dialectics of Nature, The Theory and Practice of Scientific Socialism, English;

Foundation courses for the degree: Introduction to Linguistics, Natural Language Information Processing, Corpus Linguistics, Information Theory, Formal Language and Automata, Internationalization and Localization Information Processing, Artificial Intelligence-The Principle and Application, Machine Translation;

Common elective courses: Methods of Scientific Research and Literature Utilization, Science and Technology Writing in English, Science and Technology Information Retrieval, Second Foreign Language;

Professional elective courses: Machine Learning, XML Application Technology, Multimedia Technology, The comparative rhetoric and translation practice, Web Programming, Foreign Language Teaching, Information Retrieval and Search Engine, Linguistic Syntax, Linguistic Semantics, Language Evaluation, translatology, Probability Theory and Mathematical Statistics;

Required Training: Lecture on Frontier Trends, Digital Media Project Practice, Education on Situation and Policies, Academic Ethics and Academic Norms, Mental Health, Literature Summary and Degree Project Proposal, Degree Thesis.