1. Educational Objectives 

1. Having a good master of solid basic knowledge and expertise in the field; grasping basic research methods, skills and possessing the ability to study practical problems;

2. Having a good command of a foreign language;

3. Cultivating rigorous and realistic attitude towards learning and working;

4. Being competent for work in the field.

  1.  Main Research Areas 

1. New energy and automation technology;

2. Technology and application of intelligent robot;

3. Measurement technology and intelligent instruments;

4. Big data and decision supported system;

5. Network space security and non-traditional security technology;

6. Pattern recognition and artificial intelligence technology;

7. Image processing and precision guidance technology;

8. Biological information processing technology and application;

  1. Studying Period and Pattern

The Master of Engineering in this field will achieve the degree in 3 years with full time. The longest learning period is no more than 4 years.

  1. Credit Requirements and Allocation

The total credits required are more than 32 credits, including not less than 18 credits for degree courses, and not less than 14 credits for research parts. The specific credits assignment is as the following table:

 

Total credits

≥32 credits

Degree Courses

≥18 credits

Public required courses ≥7 credits,including:2 credits for English,2 credits for Ideological and Political,3 credits for Math

Major fundamental courses≥2 credits(compulsory)

Major elective courses≥6 credits

Practice teaching(experimental, design, investigation and analysis)≥3 credits

Only record the results of optional courses and  complementary courses , with no credit

Research Section

≥14

credits

Internship & practice designed for specialized courses ( report included)

4

Practice part

≥4credits

Professional training(report included)

4

Thesis opening report

1

Compulsory

Thesis interim progress report

1

Compulsory

Master degree thesis

8

Compulsory

 

  1. Curriculum Provision and Credit Allocation

Curriculum for Postgraduate Students of Control Engineering Master

   category

course

Course code

Course name

Hour

Credit

Season

Faculty

Remarks

Degree courses

≥18 credits

Public course ≥

7 credits

511.500

The first foreign language(English)

32

2

Autumn

School of Foreign Languages

Compulsory

 

408.601

Theory and Practice of Scientific Socialism with Chinese Characteristics

36

2

Autumn

 School of Marxism

011.700

Applied Mathematics for Advanced Engineering

48

3

Autumn

School of Mathematics

408.602

Introduction of Dialectics of Nature(science and engineering)

18

1

Autumn

School of Marxism

optional

Major

Fundamental

Courses≥2credits

184.510

Linear system theory

32

2

Autumn

School of Automation

Compulsory≥

2credits

184.520

Theory, method and application of perceptual system

32

2

Spring

School of Automation

184.530

Modeling and simulation

32

2

Autumn

School of Automation

184.540

Pattern recognition theory

48

3

Autumn

School of Automation

184.550

Aircraft navigation guidance and control

32

2

Spring

School of Automation

Major optional courses ≥ 6 credits

 

 

The college or school-related college offers graduate programs

 

 

 

 

Elective    Under the guidance of the  tutor

Practical teaching(experiments、designing、investigation and analysis)

≥3credits

184.601

Integrated design and experiment of control system

48

3

Autumn

School of Automation

 

184.602

Integrated design and experiment of detection system

48

3

Autumn

School of Automation

184.603

Integrated design and experiment of decision making and security system

48

3

Autumn

School of Automation

184.604

Integrated design and experiment of digital image processing

48

3

Autumn

School of Automation

184.605

Integrated design and experiment computer vision

48

3

Autumn

School of Automation

184.606

Investigation and analysis report of project or project

16

1

 

School of Automation

184.607

Industry (Professional) Development Report

16

1

 

School of Automation

Non-degree courses

Complementary

courses

 

 

 

 

 

 

Determined by tutor professor

Practical research part≥14 credits

650.707

Internship & practice designed for specialized courses (report included)

 

4

 

School of Automation

Compulsory practical part creditc≥4

650.706

Professional training(report included)

 

4

 

School of Automation

650.708

Thesis opening report

 

1

 

School of Automation

Compulsory

650.709

Thesis interim progress report(master)

 

1

 

School of Automation

Compulsory

650.710

Master degree thesis(master)

 

8

 

School of Automation

Compulsory

VI. Practice Training

1. Time requirement of the practice part

The accumulation practical practice time of non-present graduating students should be not less than half a year. The time of present graduating students should be not less than one year.

2. Definition of practice part

It must be teaching and training under the tutor professor.

The experiment classes in school, participation in the professor’s subject research and the probation and practice activities in the outside companies are the practical practice part, but students have to participate in theme practice, and the participating time should be at least half of the total practical practice time.

The practice part is decided by the tutor and student. It should be reviewed and recorded by other departments

3. Evaluation of practice part

 The students should submit the report of the practice (probation) after finishing the practice. The report is classified by the professor and the practice department. It has 3 levels: good, past, failed. The students who failed can’t get report credit and have to re-practice again.

VII. Degree Thesis

1. Dissertation topic election requirements

The topic should have a very clear technology background and application value. It can involves the field of control system engineering or the designing and processing of the components, equipments and the parts that consist the system, analysis and integration , research and development , management and decision-making ect, especially for information acquisition, transmission, processing and researching about the utilization of new systems, new equipment, new products, new processes, new technologies, new software. The topic covered by the paper can be a complete project, or a subproject. The engineering master student should be major participator or the director and should participate in the whole work. The election of the dissertation topic should be proper. It should have a enough workload, technical difficulty and innovation needs.

2. Dissertation content requirements

The introduction of the dissertation should explain the background and the content briefly; the abstract should give a clear analysis and summary about the situation at home and abroad of the technology technique problems involved in the paper, and put forward the technique route of the dissertation work.

The body of the dissertation should analyze and research the involved engineering technique problems by integrated use of the basic theory, the professional knowledge and technique; for engineering design papers, it requires the design method, advanced design and accurate data and meeting the appropriate industry standards, requires complete technical documentations and the design implementation is confirmed by experiment result or pass the assessment by experts; for technical research or technical renovation papers, it should combine the basic theory and professional knowledge, and have rigorous argument, scientific experiments ,engineering application and an object analysis of the results. The achievement of the paper should be scientific and advanced.

The reference materials in the paper should have connections with the content, and the domestic and foreign scientific and technical literatures. It requires the content being comprehensive, innovative. The reference number should be sufficient.

The paper should be finished under the guidance of tutor professor independently; the paper has full workload, finish the work on one or more parts in analysis, designing, implementation, experiment or application; the paper writing should has clear concept, complete structure, clear logic, fluent wring, formal standard.

3. Dissertation form requirements

According to the rules of master school of the university

4. Review and Defense of the dissertation 

In addition to the degree thesis, one of the following conditions must be satisfied to apply for a degree thesis defense:

a) employment or publishing a research paper in formal academic journals and academic conferences at home and abroad ,students for the first author, or mentor for the first author and students for the second author;

b) to obtain a patent license or applying for a invention patent and public, the students ranked in the top three;

c) to participate in the provincial and ministerial level scientific research projects ,obtain three or more;

d) to participate in the scientific research project identified by the provincial and ministerial level , student in the top 3;

5. Dissertation accreditation and defense

Paper review uses the blind way, the tutor avoid when student defense. It should have experts with professional titles in blind evaluation thesis reviewers and members of the defense committee of the dissertation.

VIII. Degree-granting

After finishing the course studying part, practical part, researching part (including the reports of election of topic and mid-term processing), the dissertation accreditation and defense part, students should submit the degree application files to the school and pass the appraisal of the school degree committee and the university degree committee. Finally, the students will be awarded with engineering master degree.