Major name:Pattern Recognition and Intelligent Systems
Major Code: 081104
Type of degree: Doctor (academic degree)
Minimum credits: 11.0
Minimum credits from compulsory courses: 7.0
Minimum credits from optional courses: 4.0
1. Training objectives
This major is intended to train senior specialists who possess solid and extensive theoretical basis and systemic expertise on the major, and have in-depth knowledge about the development direction and the international research forefront of this subject, who are proficient in a foreign language, who master the advanced methods of scientific research, and could carry on creative research and practical work.
2. Length of schooling
The length of schooling is three years (including the dissertation defense time), and cannot exceed six years in general.
3. This major covers the following research areas
1) Intelligent information processing and applications
2) Machine vision and intelligent robots
3) Image processing and pattern recognition
4. Education methods
The cultivation of the candidates adopts the supervisor responsibility system. Candidates should develop education plan within two weeks after admission under the guidance of the supervisor and participate in qualification before the end of the third semester in accordance with "SCUT’s mid-term qualification approach of the doctor degree postgraduates", complete social practice, and give regular seminars.
5. Dissertation
The candidates should work out the development plan and write opening report in the 8-15th week of the third semester, the publication of the academic papers should be implemented in accordance with the 61st document of SCUT for postgraduates [2008]. After the completion of the thesis, candidates need to prepare for the defense according to the related regulations of the university.
6 Curriculum and credits
The candidates should complete all of the compulsory courses and some optional courses in the education plan, and must gain at least 12 credits required by the school, of which at least 8 credits are from compulsory courses and 4 credits from the optional courses.
Category | Course Code | Course Name | Curriculum Class Hours | Credits | Semester | Teacher | Form of Assessment | Remark |
Compulsory Courses | B0001001 | Modern science and technology and Marxism | 60 | 3 | 1 | Huang Liwen | Course paper |
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B0002012 | First foreign language (Basic English) | 100 | 3 | 1 | Zhao Weili | Written Examinations |
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B0811006 | Intelligent Information Processing | 32 | 2 | 1 | Mo Hongqiang | Course paper |
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Optional Courses | B0811001 | Modern Robust Control Theory and Applications | 32 | 2 | 2 | Xu Bugong | Course paper |
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B0811008 | Theory and application of Data fusion | 32 | 2 | 1 | You Linru | Course paper |
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B0811009 | Machine Intelligence | 40 | 2 | 2 | Tian Lianfang | Course paper |
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B0811017 | Advanced control technology topics | 32 | 2 | 2 | Supervisor | Course paper |
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B0811020 | Complex systems modeling, optimization and control | 48 | 3 | 2 | Deng Feiqi | Course paper |
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B0811021 | Optimal Estimation Theory and Application | 32 | 2 | 1 | Li Shanbin | Course paper |
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B0811022 | Discrete Event Dynamic Systems | 32 | 2 | 2 | Luo Fei | Course paper |
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B0811024 | Linear System Theory II | 32 | 2 | 1 | Su Weizhou | Written Examinations |
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B0811027 | Applied nonlinear control | 32 | 2 | 1 | Hu Yueming | Course paper |
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B0811028 | Brain-computer Interface | 32 | 2 | 1 | Gu Zhenghui | Course paper |
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B0811029 | Biomedical Signal Processing and Applications
| 32 | 2 | 1 | Yu Zhuliang | Course paper |
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Compulsory Activities | B0004016 | Society (teaching) practice |
| 1 |
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B0004017 | Opening report |
| 1 |
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B0004018 | Academic activities |
| 1 |
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