Full time Academic Master's Program in Control Science and Engineering(E)-2025
(Discipline field code:081100)
Based on cybernetics, systematics and informatics, control science and engineering, which using mathematical methods and information technologies as the main tools, research control strategies and theory, method and technology of control system. Moreover, it is a synthetic subject focusing on the behavior of the dynamic system, the static and dynamic state performance of the controlled system. This discipline was established as an undergraduate major in automation in 1998. In 2003, it was approved as a second level discipline master's degree authorization point in "Pattern Recognition and Intelligent Systems". In 2010, it was approved as a master's degree authorization point in the field of "Control Engineering". In 2011, it was approved as a first level discipline master's degree authorization point in "Control Science and Engineering". In 2023, it completed the registration of its own interdisciplinary master's degree authorization point in "Intelligent Comprehensive Energy System Engineering". With the goal of building a distinctive energy university in our university, this discipline has formed its own characteristics and advantages in the upstream, midstream, and downstream control systems, detection devices, networking, and intelligent construction of the oil and gas industry after 25 years of construction. It has gradually developed into an important supporting discipline for the national first-class discipline of petroleum and natural gas, and has made significant contributions to promoting regional economic and social development in the country.
I Training Objectives
Focusing on the forefront of control science and engineering disciplines, mastering solid theoretical foundations, systematic specialized knowledge, and necessary practical skills in the field of control science and engineering, and familiarizing oneself with the scientific development trends in the research direction; Having the ability to engage in control science research, system design and technology development, and solve practical engineering control problems, with strong innovation and analytical problem-solving skills, proficient in reading professional materials and writing scientific papers in a foreign language; Physically and mentally healthy, with a rigorous academic atmosphere and good academic ethics; High level innovative talents who can independently engage in scientific research, education and teaching, technology development, and organizational management in research institutes, industry departments, and government related functional institutions.
II Training Orientations
1. Control Theory and Control Engineering
Control theory and control engineering is to research the control system modeling, analysis, synthesis, optimization, design and implementation theory and techniques of engineering, economic and social systems. It analysis the behavior, status and static and dynamic performance of a dynamic system implemented with control strategies. The main research directions include: 1) system modeling, control and optimization; 2) advanced control system and strategy; 3) system fault diagnosis and information processing; 4) Decision-making theory and method.
2. Measurement Techniques and Automation Equipment
The industrial production processes, such as petroleum and petrochemical systems, oil and gas drilling units, chemical pharmaceutical processes, are considered as the main objects to research the theory and techniques of information extraction, conversion, transmission and processing. It aims to provide information and guarantee for control system design and realization. The main research directions include: 1) Industrial automatic control systems and devices; 2) industrial control network; 3) Information acquisition and processing technology; 4) soft measurement technology; 5) multi-sensor information fusion; 6) control system testing and evaluation.
3. Pattern Recognition and Intelligent System
The research focuses on the information processing, classification and recognition methods of all kinds of industrial systems and on the intelligent system analysis, construction and improvement. The main research directions include: 1) computer vision and image processing; 2) pattern recognition; 3) intelligent computing and information processing; 4) intelligent control and intelligent system.
III Basic Requirements
1. Basic Knowledge Structure
The knowledge structure for master's degree graduate students contains: theory knowledge, including Chinese language skills and mathematics, professional knowledge like automatic control, signal processing, electrical engineering, and instrumental knowledge like computer skill.
Having basic Chinese listening, speaking, reading and writing skills, being able to read Chinese literature and Chinese for academic communication
Improving scientific thinking and logical reasoning ability through learning basic theory courses like mathematics, being able to describe and model for scientific problem using mathematical language, being able to use computer tools for scientific analysis and calculation.
Mastering basic knowledge of Control Science and Engineering discipline, including automatic control, signal analysis and processing, power electronics technology, detection technology, and computer control technology.
Mastering computer program skill, experimental methods and system simulation techniques for the discipline, being able to use related scientific instruments and equipment’s.
2. Basic Quality
(1) Academic Literacy
Having the intelligence, cultivation, and innovative spirit to engage in the work of this discipline, and consciously abiding by social ethics, respecting the intellectual property rights of others, and assuming corresponding responsibilities in the process of publishing one's own thesis and other academic works. Familiar with ethical knowledge related to this discipline, and adhere to recognized principles of bioethics in scientific research work. In addition, efforts should be made to learn the basic theories and systematic professional knowledge of this discipline and related research directions, in order to promote one's own knowledge accumulation and improve research quality.
(2) Academic Ethics
Observing academic ethics, observing disciplines and obeying laws. Possessing the attitude of scientific innovation. Being meticulous, rigorous, not seeking quick success and instant benefits for academic research. Sticking to the principles of truth from facts. Setting up ideals of devoting to science career. Obeying the academic disciples of scientific research, paper writing, academic citation and academic evaluation.
3. Basic Academic Capabilities
(1) Capabilities of Deriving Knowledge
Being able to independently inspect literature, patents, and other scientific and technological material. Mastering methods of acquire knowledge, developing scientific capabilities for induction, summarization, and completing the literature review of the subject.
(2) Capabilities of Scientific Research
Under the tutor’s guidance, being able to design a reasonable technical route and implement it independently; carefully and objectively recording relevant experimental data and test results, analyzing the scientific connotation and specific mechanism of the test results, and presenting your own opinions on the test results.
(3) Capabilities of Practice
Possessing the ability to conduct academic research or technology development, carry out scientific and technical experiments, and collaborate with others to develop scientific research. Cultivating the practical by scientific research, technology development, or engineering design.
(4) Capabilities of Academic Communication
Actively participating academic exchange activities, and having the ability of presenting academic reports. Being skilled at using basic theory and professional knowledge for academic exchanges, analysis and discussion.
(5) Other Capabilities
Having team spirit, being good at cooperation and team work. Being able to complete scientific tasks together with experts, teachers and other students.
IV. Schooling System and Training Methods
1. Schooling System
The school system is 3 years if eligible for 2 years. The longest academic years should not exceed 6 years.
2. Training Methods
(1) Qualified with a certain degree of Chinese through the study of Chinese and the general situation in China. Understanding of Chinese culture, politics, economy and history.
(2) According to the training plan, the basic theory and major courses are completed while the corresponding credits are obtained. Lay the scientific knowledge structure of basic theory.
(3) Through literature retrieval practice, scientific and technological literature reading, participation in academic reports, scientific research practice, academic conferences and many other ways to broaden the subject knowledge, grasp the frontier knowledge and the latest progress in this subject
(4) The tutor is the first person in charge of the student. On the basis of this training plan, the postgraduate and the tutor negotiate to work out a specific training plan for each graduate student. Encourage cross discipline training. If necessary, invite other tutors from relevant disciplines to form a team to work together.
(5) According to the specific knowledge structure and academic interest of each student, teaching students in accordance with their aptitude can stimulate the students to explore and study the scientific problems in the related fields and pay more attention to the cultivation of the ability of innovation. Graduate students should take an active part in research projects and conduct systematic scientific training and research under the guidance of tutors.
(6) The supervisor urged the students to complete the course study, and instructed the students to complete the topic selection, literature review, question answering, thesis writing and dissertation defense.
V Training Procession
1. Curriculum Learning
The total credits required for International Master's degree program in control science and engineering are 22 credits. The 8 credits of the public compulsory courses, meet the training of basic knowledge of Chinese and mathematics, the 6 credits of the major core courses, the training of the basic theories of modern control engineering, signal analysis and processing, and the 6 credits of the specialized elective courses, including artificial intelligence, computer modeling and simulation, and so on. When the number of elective courses for a major is less than 5, the college has the right to require students to choose other elective courses.
2. Thesis
(1) The paper begins. Generally before the end of the third semester, the literature review should be read under the guidance of the tutor to form a "literature review". The title report should demonstrate the scientific significance, the background of the topic, the research content, the expected goal, the research method and the condition of the subject.
(2) Thesis writing. The master's degree thesis is a complete and systematic summary of the academic research work completed by the graduate student under the guidance of the tutor. The master's thesis should have a good academic and considerable workload, and use the existing theories or methods to solve the scientific problems in this subject, carry out the necessary theoretical analysis and get the correct results. Specific requirements are implemented according to the provisions of Southwest Petroleum University on dissertations.
VI. Course System and Curriculum Settings
The curriculum is targeted at innovation, with the improvement of comprehensive literacy and applied knowledge and ability as the core. The teaching content emphasizes the organic integration of theoretical and applied courses, and highlights the cultivation of innovative abilities. The credit system for the course study is divided into public compulsory courses, professional core courses, professional elective courses, etc. At least 22 credits should be completed.
(1) Public Compulsory Course
8 cores of professional core courses, complete the basic theory of China Panorama, Chinese, and Foundation of Mathematics.
(2) Professional Core Course
6 cores of professional core courses, complete the basic theory of Modern Control Engineering, Signal Analysis and Processing training.
(3) Professional Elective Courses
6 credits for professional electives, including Artificial Intelligence, Computer Modeling and Simulation.
(4) Compulsory Section
2 credits for compulsory section, including Article Reading and Academic Innovation Activities.
VII. Degree Standards and Degree Awarding
Graduate students who have completed their thesis defense and met the basic requirements for degree conferment set by each college are eligible to apply for degree conferment. The basic requirements for degree granting are quantitatively calculated based on the achievement scores obtained during the academic study period. The specific scoring method and directory list can be found in the regulations on the basic requirements for master's degree granting achievements issued by the School of Electrical and Information Technology.
VIII. Scheme Usage
This plan will be used by graduate students starting from the class of 2025.
Members of the proposal preparation team: 张安安 汪敏 王巍 程吉祥 黄天彭 Head of Graduate Education in charge of the college (signature):
Chairman of the Degree Evaluation Subcommittee (signature):
Dean of Graduate School or Vice Dean in charge of Training (signature):
Chairman of the School Degree Evaluation Committee (signature):
Revision time: April 2025
List of Curriculum Settings and Training Procedures for Control Science and Engineering
Course category | Course code | Course Name | Class Hour | Credit | Semester | Notes | |
Autumn | Spring | ||||||
Public Compulsory Course | L2222001 | China Panorama | 48 | 3 | √ |
| required 8 Credits |
L2222002 | Chinese | 48 | 3 | √ |
| ||
L2222004 | Foundation of Mathematics | 36 | 2 | √ |
| ||
Professional Core Courses | L0811201 | Modern Control Engineering | 48 | 3 |
| √ | 2courses required 6 Credits |
L0811202 | Signal Analysis and Processing | 48 | 3 |
| √ | ||
L0811203 | Computer Control Theory and Its Application | 48 | 3 |
| √ | ||
L0811204 | Linear System Theory and Application | 48 | 3 |
| √ | ||
Professional Elective Courses
| L0811205 | Artificial Intelligence | 48 | 3 |
| √ | 2courses required 6 Credits |
L0811206 | Computer Modeling and Simulation | 48 | 3 |
| √ | ||
L0811207 | Instrument and Automation | 48 | 3 |
| √ | ||
L0811208 | Modern Electrical Drive and Control Technology | 48 | 3 |
| √ | ||
Compulsory Section | L0811209 | Article Reading |
| 1 |
|
| required 2 Credits |
L0811210 | Academic Innovation Activities |
| 1 |
|
|
Note: (1) Students who are studying at this school and have already obtained credits for "Overview of China" (with grades valid within 5 years) can apply for exemption from the course; (2) Students who have already obtained credits for the "Chinese Language" course at the time of enrollment (with grades valid within 5 years) or have reached the new HSK level 5 for science and HSK level 6 for humanities in the Chinese Language Proficiency Test can apply for exemption.
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