Electrical Engineering and Automation

Power Electronics

Power Electronics involves the intersection of electrical power, electronics, and control engineering. It mainly studies how to achieve the conversion and control of electrical energy through electronic devices to meet the needs of different fields. It covers the basic principles, circuit design, and application skills of power electronics devices, providing essential theoretical foundations and practical skills for students majoring in electronic engineering.

Electrical Machinery

Electrical Machinery is a core course in the field of electrical engineering and automation, and it is also an important technical foundation course in this field. It has both foundational and professional qualities, as well as systematic theoretical and practical engineering relevance. Mainly studying the basic structure, working principle, and operating characteristics of various types of motors, as well as the basic theory of electric drive systems composed of electric motors, transmission mechanisms, and production machinery.

Fundamentals of Circuit Analysis

Fundamentals of Circuit Analysis is an elective course in the field of electrical engineering, which lays the foundation for the subsequent learning and future work of electrical engineering students. The course is divided into four parts: analysis of non sinusoidal periodic circuits, complex frequency domain analysis of linear transient circuits, matrix forms of circuit equations, and two-port networks.

Analog Electronic Technology

Analog Electronic Technology is a compulsory foundational course for electrical and automation majors. The course mainly teaches knowledge of semiconductor devices, basic amplification circuits, multi-stage amplification circuits, integrated operational amplification circuits, frequency response of amplification circuits, feedback in amplification circuits, signal operation and processing, waveform generation and signal conversion, power amplification circuits, and DC power supplies.

Digital Circuit and Logic Design

Digital Circuit and Logic Design is a fundamental course for majors such as Electronic and Electrical Information, Automatic Control, and Computer Science. The course mainly discusses the basic concepts, analysis, and design methods of logic algebra and digital circuits, from basic chips to integrated chips, and from the structure and working principles of combinational logic circuits to sequential logic circuits.

Automatic Control Principle

Automatic Control Principle is an important foundational course in the field of electrical engineering and automation. Through the course, students can systematically understand the basic composition, model representation, and analysis methods of control systems, and cultivate their ability to express, construct, analyze, design, and research systems.

Principles and Applications of Embedded System

As a practical subject with strong engineering applications, Principles and Applications of Embedded Systems aims to cultivate specialized skills for students majoring in information technology. This course has launched a new blended online and offline teaching model, and has carried out a new round of curriculum construction in accordance with the standards of excellent courses in the school. Adhering to the teaching philosophy of "knowledge, ability, and quality", we focus on optimizing course content and reforming teaching methods.

Power System Relay Protection

Power System Relay Protection is one of the core courses in the field of electrical engineering and automation. It is a comprehensive science that emphasizes both theory and practice. It is based on fundamental theories such as theoretical electricians, electrical engineering, and power systems, and is closely related to new theories and technologies such as electronic technology, communication technology, computer technology, and information science.

Electrical Elements of Power Plant

Electrical Elements of Power Plant is a core professional course in the field of power systems and automation, and it is also a course that closely combines theory with practice. This course mainly discusses the working principle, basic structure, design methods, and operation theory of the primary system of power plants, as well as the principles and technologies of some electrical secondary systems.

Biomedical Engineering

Fundamentals of Circuit Analysis

“Foundation of Circuit Analysis” is an important foundational course for electronic information majors. Under the assumption of lumped parameters, this course analyzes and studies the properties of circuit unit components, basic concepts, basic laws, and analysis and calculation methods of circuits. It is an introductory course for circuit theory and electronic technology engineering, laying the foundation for the subsequent professional courses.

Signal and System

“Signal and System” focuses on discussing the basic concepts, principles and methods of signal and linear system analysis, including time-domain analysis, Fourier transform analysis, system complex frequency domain analysis, Z- transform analysis, and state space analysis. Its application in engineering practice is also introduced through example analysis.

Electronic Circuits

“Electronic Circuits” is a fundamental course for electronic information majors. This course focuses on discussing the characteristics, models, and applications of semiconductor devices (diodes, transistors, and field-effect transistors), and explores the working principles and analysis design methods of basic amplifiers, negative feedback amplifiers, and integrated operational amplifier application circuits.

Digital Circuit and Logic Design

“Digital Circuit and Logic Design” mainly discusses the basic concepts, analysis and design methods of logic algebra and digital circuits, as well as the structure and working principles of combinational logic circuits and sequential logic circuits. Through the study of this course, students will master the basic knowledge of digital electronic technology, understand the functions of the basic logic unit of digital circuits, learn to analyze and design medium - and large-scale digital circuits and digital systems, so as to cultivate students' ability to analyze and solve problems.

Digital Signal Processing

“Digital Signal Processing” is a compulsory foundational course after the course "Signal and Systems" for students majoring in electronic information. Based on the discrete signal and system analysis, this course mainly discusses the discrete Fourier transform (DFT) and its applications, fast Fourier transform algorithms, the design and implementation of infinite impulse response digital filters (IIR) and finite impulse response digital filters (FIR).

Human Anatomy and Physiology

“Human Anatomy and Physiology” is an elective course in the field of biomedical engineering. This course mainly introduces the composition of various systems in the human body, the morphology, structure, and main functions of major organs, so that students can further understand the physiological characteristics of the human body. It lays an anatomical and physiological foundation for the design and development of medical signal detection equipment and medical electronic therapy equipment.

Medical Imaging Technology

“Medical Imaging Technology” is an important foundational course in the field of biomedical engineering. This course mainly introduces the basic structure and working principle of X-ray medical imaging system, medical ultrasound imaging system, nuclear medical imaging system and magnetic resonance medical imaging system, which are the most common in contemporary clinical medicine. It lays a good foundation for students to have the ability to study medical imaging methods, systems and equipment.

Medical Digital Image Processing

“Medical Digital Image Processing” is a core course in the field of biomedical engineering. This course mainly discusses processing methods for improving image quality and increasing image clarity, such as denoising, smoothing, sharpening, and restoration. It also studies analytical techniques for detecting and extracting lesions from medical images and assisting in diagnosis. Students are required to master practical digital image processing methods and be able to apply these theories and methods to medical image processing.

Modern Medical Instrument

“Modern Medical Instrument” is a core course for biomedical engineering majors, mainly teaching the basic principles, structures, circuits, performance indicators and electrical safety standards of conventional medical electronic instruments, including electro-physiological measurement instruments, blood pressure measurement instruments, monitoring instruments, cardiac defibrillation and pacemaker, high-frequency electric knives, etc.  It lays foundation for students to engage in design, production and maintenance of medical electronic instruments.

Biomedical Sensors

“Biomedical Sensors” is a compulsory professional course for biomedical engineering, serving as a link between biomedical technology and micro-electronics. This course mainly introduces the composition principle and performance characteristics of commonly used physical, chemical and biological sensors in various biomedical measurement technologies. Including resistive sensors, piezoelectric sensors, thermoelectric sensors, optical sensors, biosensors and so on. To lay a solid foundation for students to design and develop better medical electronic products in the field of biomedical electronics.

Intelligence Science and Technology

Python Programming

This course is a professional composite training course, which mainly includes the basic syntax of Python language, functions and modules, classes and object-oriented programming, etc. Through course learning, students can acquire basic programming concepts and practical programming skills, providing a foundation of programming skills for subsequent courses.

Artificial Intelligence Fundamentals

This course is the core course of the major, which will explain various mathematical theories and principles of intelligent algorithms in the field of artificial intelligence, such as Bayesian decision theory, intelligent optimization algorithms, reinforcement learning, etc., allowing students to comprehensively understand the basic theories of artificial intelligence and lay a foundation for subsequent professional courses.

Intelligent Sensing and Detection Technology 

The course introduces the measurement principles, methods, systems, and other knowledge in detection technology and teaches various sensor principles, structures, main performance, measurement circuits, and related applications. Emphasis will be placed on teaching the composition and information processing of intelligent sensors, laying a foundation for data acquisition in intelligent technology.

Principle of Pattern Recognition

This course is a core professional course that mainly teaches the principles of machine learning algorithms, including supervised learning, unsupervised learning, and reinforcement learning. It also focuses on explaining the latest deep learning methods and mastering their basic methods through application in related fields.

Fundamentals of Robotics

This course is a core professional course that will teach the basic methods of controlling robot motion, navigation, positioning, path planning problem solving algorithms, and practical skills such as coordinate transformation, SLAM mapping, robot communication, and mastering relevant basic content through robot operating system (ROS) experiments.

Intelligent Computing Systems

This course introduces machine learning algorithms, programming frameworks, and processing architecture, aiming to cultivate students in developing accurate, efficient, and energy-saving artificial intelligence applications through systematic thinking. It is a professional software and hardware foundation course.

Image Processing and Machine Vision

The main content of the course includes three parts: Fundamentals of Digital Image Processing; The theory, methods, and examples of digital image processing, as well as the basic theory, methods, and examples of image feature extraction and analysis. Enable students to master the basic concepts, methods, principles, and applications of digital image processing.

Embedded System Principles and Applications

The course focuses on the basic development techniques of embedded systems, with ARM processor core and widely used STM32 as the main hardware platform. The system introduces the basic knowledge, process, and methods of embedded system development, as well as the development process of embedded systems with ARM microprocessor as the core.

Natural Language Processing

The core technologies of NLP courses include information extraction, text mining, machine translation, and information retrieval. By studying this course, students can have a systematic and comprehensive understanding of the principles and techniques of natural language processing; Master the concepts, components, and principles of natural language processing.

Data Mining

The specific content of this course includes: data preprocessing, classification prediction, association mining, clustering analysis, etc. Through learning, students can understand the basic process of data mining, master the basic theories and techniques of data mining, become familiar with the expression of data mining results, and effectively analyze real-world data.