Computer Application Technology
Professional Overview:
(1) Training Objectives: With large marine data, underwater vision, virtual ocean and other research teams, cultivating students the ability to independently solve engineering and technical problems. At the same time, keep up with the forefront of computer science, enhance the scientific literacy of graduate students, enable students to have the ability of independent research and innovation.
(2) Research Orientation: large marine data, computer vision and media information processing, virtual reality and remote sensing simulation technology, machine learning and pattern recognition, etc.
Main Courses:
(1) PhD programs: algorithmic analysis and computational complexity theory, computer network technology, software architecture and component technology II, computer vision II, matrix theory, satellite remote sensing and large marine data, mobile computing technology II, nonlinear system, network computing and efficient algorithms, advanced computer graphics, multimedia technology II, intelligent robotics, information security technology, doctoral thesis writing and academic discipline.
(2) Master's programs: algorithm analysis and design, advanced database system, machine learning I, probability method in computer science, matrix analysis, Internet of Things technology, modern cryptography, parallel processing and high performance computing, application system design and development, image processing and pattern recognition, software architecture, three-dimensional computer graphics, linear system theory, optimization theory, computer vision, object-oriented system analysis and design, embedded system design and application, multi-core processing and GPU computing, multimedia technology, data warehouse and data mining, multimedia content analysis and retrieval, introduction to service science, complex network, robot vision, computer virus, big data theory and application, software user interface analysis and design, design pattern, deep learning theory and practice, bioinformatics, video big data analysis, formalization method, virtual reality and visualization, mobile computing, voice signal processing, cloud computing, natural language processing and knowledge engineering.
Computer Software and Theory
Professional Overview:
(1) Training Objectives: With intelligent computing and information systems, software engineering and process engineering and other research teams, cultivating students the ability to independently solve engineering and technical problems. At the same time, keep up with the forefront of computer science, enhance the scientific literacy of graduate students, enable students to have the ability of independent research and innovation.
(2) Research Orientation: computer science theory, domain-oriented software support technology, system software and database, etc.
Computer Architecture
Professional Overview:
(1) Training Objectives: With computer network and service computing, intelligent control and other research teams, cultivating students the ability to independently solve engineering and technical problems. At the same time, keep up with the forefront of computer science, enhance the scientific literacy of graduate students, enable students to have the ability of independent research and innovation.
(2) Research Orientation: high-performance computing and pervasive computing (intelligent sensor technology, wearable equipment, etc.), high-performance computing and distributed systems, computer networks and service computing, intelligent control, etc.
Software Engineering
Professional Overview:
(1) Training Objectives: Characterized by "Marine Information Service" and "Advanced Manufacturing Software", with Qingdao Ocean Science and Technology National Laboratory, Ocean University of China - Haier Software National Engineering Practice Education Center, Hewlett-Packard Company as the practice platform, aimed at disciplines and industry development Cutting edge, to enhance the ability of graduate research and solve engineering problems.
(2) Research Orientation: software computing theory and methods, software development technology and tools, intelligent software standards and management, digital marine services engineering.
Security Science and Technology
Professional Overview:
(1) Training Objectives: With network information security, confidential information management and other research teams, cultivating students the ability to independently solve engineering and technical problems. At the same time, keep up with the forefront of computer science, enhance the scientific literacy of graduate students, enable students to have the ability of independent research and innovation.
(2) Research Orientation: confidential science (take cryptography as the basis and core), confidentiality technology (network security, information system security and anti-virus technology), confidential management (information system security assessment, security level protection, confidential management, confidentiality administration, ocean law, etc.).
Computer Technology
Professional Overview:
(1) Training Objectives: With intelligent information systems, computer graphics image processing and other research teams, cultivating students the ability to independently solve engineering and technical problems. At the same time, keep up with the forefront of computer science, enhance the scientific literacy of graduate students, enable students to have the ability of independent research and innovation.
(2) Research Orientation: intelligent information system, computer control and computer network, computer graphics image processing, visualization and visual analysis, bioinformatics and artificial intelligence, information confidentiality.
Agricultural Informatization
Professional Overview:
(1) Training Objectives: For the national strategic needs, combined with local characteristics and industry advantages, mainly for agricultural management, agricultural education, agricultural research, agricultural extension, agriculture-related enterprises and other related sectors of agricultural information to the training of various types of applications, complex high-level talents. The Students should be able to master the solid basic theory and system of professional knowledge of agricultural information technology engineering field, and can independently engaged in agricultural information technology applications in the field of engineering and management works.
(2) Research Orientation: agricultural information technology, agricultural software development, machine learning and data mining (DM).