The course is made of four main topics. The first topic examines the number representations used in today`s digital systems and discusses their arithmetic properties and conversion techniques. The second topic deals with Boolean algebra theory. Here, students learn to analyze and synthesize combinational logic circuits. The third subject area deals with analysis and design of clocked sequential circuits, in which feedback is present. The last topic provide an introduction to modern programmable logic devices and hardware description languages (VHDL). In this section, students learn to design digital logic system using VHDL, with all designs synthesized on CPLD/FPGA chips.

Through the study of this course, the basic theory, basic knowledge and basic skills of the motor can be obtained, which lays a solid foundation for the subsequent professional courses and related professional work. The task of this course is to lay a theoretical foundation for training students' professional knowledge and the ability to solve practical problems, and to master the operation technology of motor experiment.

The course mainly introduces the structure and basic principle of power system, the power system parameters calculation method, power flow calculation, short circuit calculation, voltage regulation and frequency regulation method and system stability analysis, this course has a strong theoretical foundation, but also has a strong practical engineering the combination of theory and practice closely. The course plays a very important role in cultivating students' comprehensive analysis ability, understanding the dynamics of the subject forefront of the power specialty, and further studying the related courses of the electric power.

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This course is an introduction to analysis and design of feedback control systems, foucusing on classical control theory in the time domain and its further application to intelligent vehicle system. The lectures will focus on linear system control thoery, and PID controller. In the discussions and experiments, the students will implement PID controller parameter configuration and system performance evaluation. Moreover, Kalman filtering and related perception algorithms will be introduced as the advanced knowledge. Finally the students will use sensor data from vehicle platform to implement perception module, like lane detection and tracking, obstacle detection, pedestrian detection and tracking.

This course mainly introduces the basic structures and principles of the electric actuators, the external operating characteristics, the mathematical models, as well as the analysis and calculation of basic operating characteristics. It involves the drive, braking, and speed control methods of the drag systems consisting of various types of motors and mechanical loads. This course also introduces pneumatic actuators, hydraulic actuators, piezoelectric actuators, and presents a preliminary introduction to the new applications of the actuator technology.

"This course covers microelectronics, electronic engineering. Topics include basics of semiconductor and devices, electronic circuits and systems, IC Fabrication Process and design work-flow, state-of-the-art technologies in related areas. The mission of this course is to understand the curriculum setup concerning microelectronics and circuits, comprehend the fundamental concepts and trends in these areas, as well as learn some basics of electronic circuit and systems. "

Statistical Signal Analysis and Processing is a course on the theory and method of signal detection and estimation, including random signal and system, hypothesis testing theory, methods of signal detection in white and colored Gaussian noise, signal parameter estimation and waveform estimation theory.

This course is the introduction to the principle and application of AT89S51 microcontroller unit. The course consists of four parts: The inner hardware structure and the working principle and application of the inner functional unit of AT89S51 microcontroller unit, including the clock circuit, the reset circuit, the inner interrupt system, the timer/counter and the serial COM port; The AT89S51 assemble language instruction repertoire, the basic AT89S51 assemble language programming and the basic C51 language programming; Extended interface circuit design, including memorizer, I/O extending, keyboard, display, micro-printer, BCD code switch, A/D D/A interface circuit design and various driver programming for above different interface circuits; The software and hardware design of the application system of the microcontroller unit, the development and debugging of the application system with emulator and the anti-jamming design of the application system.

This course is an introduction to the basic content on pattern recognition. The content is including: 1. Introduction to the developing of pattern recognition. 2. Discriminative methods in statistical classification. 3. Probabilistic methods in statistical classification. 4. Clustering methods. 5. syntactic pattern recognition

This course serves undergraduate students majored in automation. System Identification studies how to construct a mathematical model of a system based on its input and output data, which is a basic tool for research in automatic control. This course teaches: linear system models and classical identification methods; least squares methods for linear system identification; parameter and state estimation of linear system; determination of model structures and practical issues.

Electromagnetic Field and Electromagnetic Wave is the theoretical foundation for undergraduate students major in Electronics. This course systematically teaches the basic rules of electromagnetism, properties of electromagnetic field, the fundamental and theoretical issues of Electromagnetic Wave’s propagation and radiation. The major contents of the course include: Vector analysis; Basic laws of electromagnetism; Static Electric field, steady Electric field and static Magnetic field, variable separable method, mirror-image method; Time-varying field and Electromagnetic radiation; Electric Dipole and Magnetic Dipole, antenna; Plane Electromagnetic waves: propagation, polarization, dispersion, reflection and refraction; Propagation of Electromagnetic waves in Parallel-plate, rectangular and circular waveguides; Cavity resonators and quality factor; Electromagnetic wave along a transmission line, general transmission-line equation, transmission lines as circuit elements, wave characteristics.

This course is set separately as a practical teaching requisite to the classroom teaching of Linear Electronic Circuit, and aims to consolidate and expand the students’ knowledge about circuit theory, to strengthen comprehensive training for their basic experimental skills, to cultivate and improve their engineering design ability and experimental ability. It includes the following parts: the port characteristics and basic applications of general electronic devices such as diodes, bipolar transistors and field effect transistors, the structure features and performance tests of commonly used circuits such as amplifying circuit, differential circuit and feedback circuit, etc., the integrated design and research on operational circuit, filter circuit and signal generation circuit, and the simulation experiment of electronic circuits based on Multisim software.

Through the course’s experiments the students should master the basic theory and analysis method of digital circuits,especially the principle of digital circuit, the analysis and design method of digital circuit, should understand the characteristics and parameters and correctly chooose and use of each element, understand the development of electronic technology, master some practical skills. The course includes the following parts: encoder and decoder, adder, multiplexer, register and shift register, counter, digital clock, intellectual competition responder, etc.

Information theory explores the fundamental limits of the representation and transmission of information. This course focuses on the definition and implications of entropy, mutual information, the source coding theorem, and the channel coding theorem; as well as their preliminary applications in artificial intelligence such as Kolmogorov complexity, minimum description length, and maximum entropy principle. These concepts provide a vital background for researchers in the areas of data compression, signal processing, controls, and pattern recognition.