Postgraduate entrance examinations in computer science are mainly divided into three categories: computer science and technology, software engineering, and cyberspace security. However, the postgraduate entrance examinations in related subjects are still relatively broad. Therefore, it is convenient for everyone to understand the professional direction and the comprehensive situation of professional subjects.
We have compiled and shared the relevant content of "Introduction to the Information and Communication Engineering (Academic Master's) Program of Shanghai Normal University". Let's take a look at the development of the Information and Communication Engineering (Academic Master's) discipline. It began in 1986 and is affiliated to the School of Physics of the School of Mathematical and Physical Information.
Department, and later gradually developed into the Department of Communication Engineering.
In 2008, it was integrated into the "Electrical Information Department" of the School of Information and Mechanical and Electrical Engineering. The entire discipline belongs to the "Mathematical Physics and Computational Science" subject group.
This discipline was awarded the master's degree authorization point for "Communications and Information Systems" in 1986, the professional master's degree authorization point for "Electronics and Communication Engineering" in 2012, and the municipal "Graduate Education Practice Base" in 2013.
In 2018, it obtained the first-level discipline degree authorization point of "Information and Communication Engineering".
There are ***40 full-time teachers in this subject, including 5 professors. More than 80% of the staff have subject expertise corresponding to the main direction of this subject, and more than 84% of the teachers have a doctorate.
One member of this discipline has won the National Ministry of Education Science and Technology Progress Award, 1 Jiangxi Provincial Natural Science Award First Prize, 2 Shanghai Science and Technology Progress Awards, and 4 Shanghai Outstanding Teaching Achievement Awards.
This discipline has now formed three stable research directions: "intelligent signal processing and wireless communication systems", "large-scale image and video data processing and application", and "biomedicine and nonlinear information measurement and control".
In the past five years, the total scientific research funding undertaken by this discipline is approximately 13.71 million yuan, of which the total per capita scientific research funding in the five years is 325,400 yuan, including 13.8 yuan in vertical scientific research funding and 8 National Natural Science Foundation projects.
In the past five years, three major international and domestic academic conferences have been held, and more than 80% of full-time teachers have participated in international and domestic academic conferences. The Sino-US joint education program held every year provides undergraduate students with opportunities for international exchanges.
In 2015, the telecommunications "Yixiaotong" equipment system was developed for primary and secondary schools in Shanghai and won the third prize of the Shanghai Industry-Academic-Research Cooperation Outstanding Project Award. The direct economic benefits generated have reached more than 1,000.
At the same time, it has obtained 3 industry-university collaborative education projects from the Higher Education Department of the Ministry of Education (Google/TI).
1. Intelligent signal processing and wireless communication systems The main research field of this subject is to study signal detection and estimation theory and new methods of multi-dimensional signal processing for new wireless communication systems.
Research features include: (1) Research on new wireless communication systems, such as reconfigurable smart surface (RIS) communication networks, terahertz (THz) communication networks, Ultra-Massive MIMO, visible light communications (VLC) and dense networks, etc.
Network architecture and physical layer technology.
(2) Based on intelligent signal processing and statistical signal processing, study parameter acquisition, channel modeling and channel capacity estimation of the next generation mobile communication system.
This research direction has advantages in winning national, provincial and ministerial level projects, and undertaking research and development projects for enterprises and institutions.
2. Large-scale image and video data processing and application. The main research areas of this discipline are computer vision, intelligent perception, image compression, wireless transmission, etc.
Research features include: (1) Exploring the processing mechanism and intelligent perception technology of the human visual system, studying issues such as target detection, semantic segmentation, and trend prediction based on deep neural networks, as well as application research in the fields of Internet of Vehicles, driverless driving, etc.
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(2) Explore the classification and compression theory of big data such as images and videos, and study issues such as efficient coding and fast transmission in wireless environments.
This research direction carries out industry-university-research cooperation with enterprises in the fields of communications and Internet of Things, and has received support from the National Natural Science Foundation.
3. Biomedicine and nonlinear information measurement and control. The main research areas of this discipline are nonlinear system modeling, information processing and intelligent control for sensors, actuators and control objects in biomedicine and information measurement and control processes.
Research features include: (1) exploring the collection and analysis of human bioelectrical signals and intelligent information processing, as well as nonlinear modeling theory and application research; (2) deep processing and pattern mining of medical information based on artificial intelligence, and in intelligent rehabilitation medicine
Applied research in equipment.
This direction focuses on the major needs of "population and health" in the national development plan and solves problems such as biomedical detection, nonlinear information processing and control.