Training Program for Intelligence Science and Technology

Undergraduates Version 2015

TRAINING GOALS

Have a solid foundation of science and engineering, solid professional knowledge and skills, practical applications skills, systems analysis and design ability, capacity to become an innovator in the field of computer science; basic literacy in academic research sufficient to continue to postgraduate education; humanistic literacy, knowledge of professional ethics and social responsibility;

good communication and coordination skills, teamwork, interdisciplinary collaboration skill as well as the international skill, in order to cultivate the future success for industry or academic and even management.

REQUIREMENTS

Undergraduate graduates majoring in Intelligence Science and Technology must meet the following requirements:

1 Engineering Knowledge: master mathematics, natural science, engineering and computer science knowledge to solve complex engineering problems of computer system.

2 Problem Analysis: analysis based on the basic principles, using applied mathematics, natural sciences and engineering science to obtain valid conclusions for complex engineering problems in computer systems.

3 Design / Develop Solutions: able to design solutions for the engineering of complex computer systems, meeting the specific requirements of computer systems, components or processes; can embody a sense of innovation in design; consider the social, health, security, legal, cultural and environmental factors.

4 Research: Able to complex engineering problems using scientific methods, including experimental design, analysis and interpretation of data, and derive rational conclusions.

5 Using Modern Tools: be able to address complex computer systems engineering questions and development tasks by selecting and employing appropriate technologies, resources, and tools, including modeling and prediction techniques while also understanding of the limitations of such techniques.

6 Engineering and Society: be able to use engineering related background knowledge to do rational analysis, computer engineering and computer systems evaluation for engineering problems implementing social schemes, health, safety, legal and culturally oriented programs, with an understanding and perspective on related responsibilities.

7 Environment and Sustainable Development: to understand and evaluate engineering practices for complex computer systems engineering problems related to the environment, and understand sustainable development.

8 Occupation Specifications: have some humanistic and social science literacy, awareness of social responsibility, and abide by standards of professional ethics to carry out work responsibly.

9 Individuals and Team: can take responsibility as an individual in a multidisciplinary context, or as a team member taking the role of a responsible person.

10 Communication: have the ability to effectively communicate and exchange ideas about complex computer system engineering problems with industry peers and the public, including report writing and document design, statement making, clarity in expression and making authoritative responses. Also, have international sensitivity so as to be capable of communication in a cross-cultural context.

11 Project Management: understand and use decision making methods for project management; use economic principles in a multidisciplinary environment.

12 Independent Learning & Lifelong Learning: have the consciousness of lifelong learning and continuous learning and have the ability to adapt to technology and social development.

TRAINING CHARACTERISTICS

The major in the Ministry of education undergraduate professional directory belongs to computer science specialty. Our training program uses computer science engineering education accreditation standards as a criterion, combined with our school’s actual development. The training plan reinforces the computer, network and electronic subject core based knowledge, pays attention to intelligent information systems engineering co-op ability, cultivates scientific research and technical innovation and quality, strengthens the interdisciplinary and international exchange characteristics, focuses on the embedded system and SOC design, pattern recognition and machine perception, smart control and robot, internet of things and intelligent information processing, and many more professional concentrations.

LENGTH OF SCHOOLING, BASIC REQUIREMENTS FOR GRADUATION AND DEGREE GRANTING

1 Undergraduate basic educational system normally takes 4 years, with flexible learning time of 3-6 years, in accordance with the credit management system.

2 Students majoring in intelligence science and technology graduate with at least 165 credits, including various types of courses and procedure requirements of credits. Credits required are listed in the following table:

3 The students who complete the training program consisting of required courses, elective courses and related courses, achieve the required minimum graduation marks, and complete the courses required with qualified ethics, intellectual and health. Meet the degree granting requirements of the relevant documents will be awarded the degree of Bachelor of Engineering.

THE CURRICULUM AND CREDIT DISTRIBUTION

(a) general education curriculum (compulsory 24 + (6) elective credits + 8 credits)

General education curriculum includes two parts. The compulsory and electives. Electives are in accordance with the Hunan University general elective courses (Quality Education) program. The general compulsory courses are as follows:

(b) subject core courses (24 credits)

(c) college core courses (23 credits)

(d) major core courses (18 credits)

(e) major elective courses (32 credits)

(1) major limited elective courses (11 credits)

The students must take 3 courses from the following in order to strengthen the major and professional foundation for a total of 11 credits.

(2) major all-you-can-choose elective courses (21 credits)

Major elective courses using a combination of concentration and optional courses, students first select all the courses from one concentration, and then from other concentrations (we encourage cross-concentration elective courses), in total choosing seven courses with a total of 21 credits. Courses offer are as follows:

Note:

1) We encourage students take major or cross-major elective courses, credits should be not less than 50% of “should have” credits.

2) During the period of study, if the student participated in academic competitions or published academic papers and the college identified (see < College of Computer Science and Electrical Engineering, Hunan University Academic Research Classification Guidance and Technology Innovation Achievements Guidance >), you may apply to substitute two elective credits.

(f) centralized practice (30 credits)

THE CURRICULUM SCHEDULE OF RESPONSIBLE TEACHERS

MAJOR RESPONSIBLE PROFESSOR