I、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.

II、 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;

III、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.

IV、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

 V、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