The Master of Computer Science and Technology program of Northeast Electric Power University is a postgraduate program under the School of Information Engineering. The School of Information Engineering has computer science and technology, computer science and technology excellence, communication engineering, software engineering and smart grid. There are five undergraduate majors in information engineering. At present, the college consists of the Department of Computer Science, Department of Communication Engineering, Research Institute of Information Technology, IT Training Center, Basic Computer Teaching Department, and Basic Computer Experiment Center; it has three master's degree authorizations in Computer Science and Technology, Information and Communication Engineering, and Software Engineering. First-level subject point. Northeastern Electric Power University's on-the-job master's degree training program in computer science is as follows:
1. Discipline Introduction
The computer science and technology disciplines include virtual reality, smart electricity, embedded systems, network security, etc. Nine laboratories and ten research rooms including intelligent information processing are equipped with experimental equipment worth more than 10 million yuan. It has cooperated with many companies to provide guarantee for cultivating the innovative and practical abilities of graduate students.
In many years of practical teaching, a mature and stable research direction has been formed. In the past five years, *** has published more than 400 academic papers, completed more than 80 scientific research and education reform projects, more than 30 award-winning projects for scientific research and teaching achievements, published 15 monographs and textbooks, and obtained more than 20 patent authorizations and software copyright registrations.
This discipline is based on the application of the power industry, aims at research frontiers and hot areas, undertakes various projects, and mainly solves scientific and engineering technical problems in the construction of smart grids.
2. Training objectives
3. Research directions
1. Smart grid information technology
2. Virtual reality and multimedia technology
3. Big data and intelligent information processing
4. Image processing and pattern recognition
5. Computer theory, models and algorithms
4. Curriculum Settings
The on-the-job master's degree courses are divided into four categories: degree courses (basic public courses, basic theoretical courses, basic professional courses), elective courses, compulsory courses, and minor courses.
1. Degree courses
(1) Basic public courses: political theory course, first foreign language
(2) Basic theory course
(3) Professional basic courses
2. Elective courses
3. Compulsory links
Academic degree graduate students include academic activities (participating in at least one academic forum ), literature reading and proposal report, mid-term examination of thesis.
4. Minor courses
A few graduate students who cross majors or obtain equivalent academic qualifications must take at least two core courses for undergraduates in their major. The minor courses will not be counted as credits. Those with unsatisfactory grades in their minor or minor studies cannot participate in the thesis defense. A score of 60 or above in minor courses is considered qualified. The minor course can be completed within two years after the graduate student's enrollment, and will be arranged by the graduate school's school.
It is required that each course in the curriculum of the training plan must prepare a course syllabus. The course syllabus should include course number, course name, English translation, credit hours, credits, teaching objectives, teaching content, and teaching requirements. , teaching methods, class methods, assessment methods, required readings and reference books, etc. All course syllabuses must be reviewed and approved by the academic degree committee of the school and then submitted to the Graduate School Training Department.
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