Pattern Recognition and Intelligent Systems
 
time: 2015-07-16

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


B0002012

First foreign language (Basic English)

100

3

1

Zhao Weili

Written Examinations


B0811006

Intelligent Information Processing

32

2

1

Mo Hongqiang

Course paper


Optional

Courses

B0811001

Modern Robust Control Theory and Applications

32

2

2

Xu Bugong

Course paper


B0811008

Theory and application of Data fusion

32

2

1

You Linru

Course paper


B0811009

Machine Intelligence

40

2

2

Tian Lianfang

Course paper


B0811017

Advanced control technology topics

32

2

2

Supervisor

Course paper


B0811020

Complex systems modeling, optimization and control

48

3

2

Deng Feiqi

Course paper


B0811021

Optimal Estimation Theory and Application

32

2

1

Li Shanbin

Course paper


B0811022

Discrete Event Dynamic Systems

32

2

2

Luo Fei

Course paper


B0811024

Linear System Theory II

32

2

1

Su Weizhou

Written Examinations


B0811027

Applied nonlinear control

32

2

1

Hu Yueming

Course paper


B0811028

Brain-computer Interface

32

2

1

Gu Zhenghui

Course paper


B0811029

Biomedical Signal Processing and Applications

32

2

1

Yu Zhuliang

Course paper


Compulsory

Activities

B0004016

Society (teaching) practice


1





B0004017

Opening report


1





B0004018

Academic activities


1