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Department of Computer Science
Software Engineering, Artificial Intelligence, Quantum Information and Computing, Service Computing, Sematic Web
Head of Department: Professor Chen Hanwu
Department of Computer Engineering
Computer Network, Database management, Artificial Intelligence, Computer Architecture
Head of Department: Professor Cheng Guang
Department of Image Science and Technology
Imaging Theory and Methodology, Computer Vision and Visualization, Image Processing and Analyzing, Auxiliary Diagnosis and Precise Treatment, Video Processing
Head of Department: Professor Luo Limin
Category:Engineering
Major Code:080605
Degree:Bachelor of Engineering
Educational Objectives
The major aims to develop innovative technology-based high-quality talents. It actively explores the multi-standard, multi-level, personalized training model for personnel classification. It takes innovative education, quality education as the core and enables students to full development in moral, intellectual, physical, and aesthetic aspects. It ensures that knowledge, ability, quality is developed coordinately. Taking the basic principles of strengthening the foundation, combining software and hardware, being based on the system, facing to applications, and strengthening the practice, computer science theory, computer hardware and computer software technology form the three main academic building and main courses. The major aims to enhance the training of engineering practice and enable students to master the system, theoretical computer science, computer hardware / software systems and application of knowledge with domain analysis, problem-solving abilities and strong engineering practice.
Basic Requirements of Graduates
The students should have solid basics of science and engineering, understand the basic knowledge of economic management, humanities and social sciences and related disciplines. The students should have the good ability of foreign language and master professional knowledge and practical skills, can design enterprise application systems and manage the enterprise. The students should have the potential to meet the needs of social development and can adapt to scientific research, product development, engineering, teaching and business management or further education qualification.
Expected Attributes of Graduates
The requirements of knowledge structure: instrumental knowledge (language, literature search, technical writing, etc.), knowledge of humanities and social sciences (literature, philosophy, political science, sociology, law, moral, ethical, etc.), natural sciences (mathematics, physics, etc.), economic management knowledge (economics, management, etc.), expertise (discrete mathematics, data structures based on program design, analog and digital logic circuits, computer organization and architecture, interface technology, operating systems and compiler theory; software engineering, database theory and technology, computer networks, artificial intelligence, computer architecture, etc.);
The requirements of ability structure: ability to acquire knowledge (self-learning ability, the ability to access to information and presentation skills, etc.), ability to apply knowledge (system-level cognitive ability, theory and practice ability, ability to master the top-down and bottom-up analysis of the problems approach, not only grasp the details of the system at all levels, but also understanding the overall system; not only master the discipline of basic theoretical knowledge, but also the use of theory to guide practice), innovation (creative thinking, innovation and experimental capabilities, technology development ability, scientific research capacity and new knowledge, new technology acumen);
The requirements of the quality structure: the ideological and moral qualities(love the motherland and establish a scientific world outlook and values; with a sense of responsibility and social responsibility; with legal awareness; love this profession, pay attention to professional ethics; with a sense of integrity and teamwork) , and cultural qualities (with a certain literary and artistic accomplishment, interpersonal communication training and modern consciousness), physical quality (with better physical and psychological), professional quality (master scientific way of thinking and research methods, with innovative and realistic rigorous scientific literacy, with some projects and awareness of efficiency).
Specialization and Related Majors
Main subjects: Computer Science and Technology
Related majors: Information Engineering, Electronic Science and Technology, Control Science and Technology, Information and Computational Science
Curriculum
basic general education courses
Moral and cultural qualities of the ideological and political education courses, college English, advanced mathematics, geometry and algebra, probability theory and mathematical statistics, physics
General discipline-based courses
Analog and digital logic (including electronic technology experiment), discrete structures, program design and language, basic data structures, signals and systems, computer organization and architecture
main professional courses
Computer system and interface technology, compiler theory, operating systems, database theory, Introduction to computer networks, software engineering, artificial intelligence
Main Practical Trainings
Curriculum design of Programming language, experiment hardware, software practice, curriculum design of compiler theory, curriculum design of operating systems, curriculum design of database theory, curriculum design of computer networks, integrated curriculum design of computer, extra-curricular science research practice, graduation design
Courses in English
Introduction to computer networks, modern database technology and professional qualities and skills in EnglishM
Bilingual Courses
Program design and language, basic data structures, operating systems, software engineering, compiler theory, principles of database systems
Research-Oriented Courses
a) Seminar-based elective courses (8 credits)
Mathematical modeling and experimental mathematics, operations research, advanced data structures, digital image processing, computer graphics, pattern recognition, artificial intelligence, computer architecture, multimedia technology, MIS and database design, modern database technology, distributed system design, network and Web application infrastructure
b) Seminar + design courses (9 credits)
curriculum design of language 1-2, 1-2 practice software, hardware experiments1-2, 1-2 integrated curriculum design of computer systems , curriculum design of operating systems, curriculum design of compiler theory, curriculum design of computer networks, curriculum design of database systems
Credits and Grade-Point Average Requirements
In adherence to the Regulations of The Southeast University for Credits Arrangement and Bachelor Degree Award, students qualify for graduation after obtaining a minimum of 150 credits and satisfying other relevant administrative conditions. They will be conferred the Degree of Bachelor in Engineering if they further satisfy all other University requirements.
Curriculum Structure:
Course Category | Credits | Credit hours | Credit Proportions | |
---|---|---|---|---|
complusory | Elective | |||
Foundation Courses for General Education | 54 | 912 | 29.3% | 6.7% |
Foundation Courses for Discipline | 27 | 264 | 18% | |
Core Courses for Major | 21 | 336 | 14% | |
Major & Interdisciplinary Electives | 13 | 208 | 8.7% | |
Series Research Beased Courses | 8 | 112 | 5.3% | |
Practical Trainings | 26 | 40 | 17.3% | |
Total | 150 | 2182 | 79.3% | 20.7% |
Curriculum Design (See guidance of teaching programs and focused practice teaching guide sheet)
Copyright © School of Computer Science and Engineering, Southeast University
Address:Sipailou No.2 Nanjing, Zip code 210096,Tel:(025)52090861 Email:cse@seu.edu.cn