Brain Science & Artificial Intelligence - Learn Artificial Intelligence

1. How about the Computer Science and Technology (Brain Science and Artificial Intelligence) major at Nanjing University?

The training objectives of the major of Computer Science and Technology (Brain Science and Artificial Intelligence) of Nanjing University, and the research direction of the major of Computer Science and Technology (Brain Science and Artificial Intelligence) of Nanjing University. Nanjing University Computer Science and Technology (Brain Science and Artificial Intelligence) professional degree program and some elective courses. For college entrance examination candidates and parents who are new to the accounting major of Nanjing University, the question is what majors does Nanjing University have? What does the accounting major at Nanjing University study? What kind of work can you do after studying accounting at Nanjing University, etc. Let's take a look at the introduction of Computer Science and Technology (Brain Science and Artificial Intelligence) at Nanjing University and the ranking information of Computer Science and Technology (Brain Science and Artificial Intelligence).

2. Introduction to Computer Science and Technology (Brain Science and Artificial Intelligence) at Nanjing University

Major: Computer Science and Technology (Brain Science and Artificial Intelligence)

Major: Undergraduate

Duration of the program: four years

Introduction:

Training Objectives: This major cultivates all-round development of morality, intellect and physique, mastering the basic knowledge of mathematics and natural sciences and the basic theories, basic knowledge, basic skills and basic methods of computers, networks and information systems, with strong professional ability and good comprehensive quality, and can become senior professionals engaged in computer science research, computer system design, development and application.

Training Requirements:

1. Master Marxism-Leninism, Mao Zedong Thought and the basic theories of socialism with Chinese characteristics, have good humanities and social sciences literacy, professional ethics and psychological quality, and have a strong sense of social responsibility;

2. Master the knowledge of mathematics (especially discrete mathematics) and other related natural sciences required for the work of the major, as well as certain knowledge of economics and management;

3. Systematically master the basic theories and professional knowledge of computer science and technology, understand the basic concepts, knowledge structure and typical methods of the discipline, and establish core professional awareness such as digitalization, algorithmization, modularization and hierarchical;

4. Master the basic thinking methods and research methods of computing disciplines, have good scientific literacy and certain engineering awareness, and have the ability to comprehensively use the knowledge, methods and technologies mastered to solve practical problems;

5. Have a sense of lifelong learning and the ability to use modern information technology to obtain relevant information, new technologies and new knowledge;

6. Understand the current situation and trend of computer science and technology, have a sense of innovation, and have preliminary technological innovation and product innovation capabilities;

7. Understand the important laws, regulations and policies related to the major and industry, and understand the basic ethical requirements related to engineering technology and information technology application;

8. Have certain organizational and management skills, expression skills, independent work skills, interpersonal skills and teamwork skills;

9. Have a certain ability to use foreign languages, be able to read foreign language materials of the major, have a certain international vision and cross-cultural communication, competition and cooperation ability;

10. Master the general knowledge and basic methods of sports, and develop good exercise habits.

Main disciplines: computer science and technology.

Core knowledge areas: discrete structures, basic algorithms, programming, data structures, computer composition principles, operating systems, computer networks, database systems, software engineering, etc.

Examples of core courses (the number of hours in parentheses is theoretical + laboratory or practice):

Example 1: Advanced Language Programming (40+48 hours), Introduction to Computer Science (24+6 hours), Set Theory and Graph Theory (48 hours), Assembly Language Programming (32+8 hours), Circuits (44+16 hours), Mathematical Logic (32 hours), Fundamentals of Electronic Technology (32+20 hours), Digital Logic Design (36+12 hours), Data Structures and Algorithms (40+24 hours), Modern Algebra (32 hours), Principles of Computer Composition (48+60 hours), Software Engineering (48+16 hours), Formal Languages and Automata (32 hours), Mathematical Logic (32 hours), Database Systems (40+24 hours), Operating Systems (40+16 hours), Computer Networks (36+30 hours), Algorithm Design and Analysis (32 hours), Computer Architecture (48 hours).

Example 2: Introduction to Computing (72 hours), Data Structures and Algorithms (72 hours), Digital Logic Design (54 hours), Set Theory and Graph Theory (54 hours), Algebraic Structures and Combinations (54 hours), Mathematical Logic (54 hours), Principles of Microcomputer (54 hours), Computer Composition and Structure (54 hours), Principles of Circuit Analysis (72 hours), Digital Integrated Circuits (72 hours), Signals and Systems (54 hours), Microelectronics and Circuit Fundamentals (54 hours), Electronic Circuits (72 hours), Algorithm Design and Design (72 hours), Brain and Cognitive Science (36 hours), Introduction to Artificial Intelligence (54 hours), Compilation Technology and Practice (54+72 hours), Operating System and Practice (54+72 hours), Microcomputer Experiment (0+72 hours), Programming Practice (0+72 hours), Digital Logic Circuit Experiment (0+72 hours), Digital Logic Design Experiment (0+72 hours), Electronic Circuit Experiment (0+72 hours), Basic Circuit Experiment (0+72 hours).

Example 3: Fundamentals of Circuit Analysis (68 hours), Digital Circuits and Logic Design (60+30 hours), Fundamentals of Analog Electronics Technology (60+30 hours), Signals and Systems (68 hours), Circuit Signal and System Experiments (15+15 hours), Introduction to Computer Science (16 hours), Computer Communication and Networks (56+20 hours), Software Engineering (30+16 hours), Database Systems (40+12 hours), Compilation Principles (52+16 hours), Artificial Intelligence (46 hours), Operating Systems (54+24 hours), Fundamentals of Programming (44+32 hours), Data Structures (54+24 hours), Discrete Mathematics I (54 hours), Computer Organization and Structure (76+20 hours), Microcomputer Systems (50+20 hours), Discrete Mathematics II (30 hours).

Main practical teaching links: course experiment, course design, professional internship, graduation project (thesis), etc.

Main professional experiments: programming experiments, data structure experiments, computer composition experiments, operating system experiments, database experiments, computer network experiments.

Duration of study: 4 years.

Degrees awarded: Bachelor of Engineering or Bachelor of Science.

3: Introduction to Nanjing University - Nanjing University Admissions Network

Located in the beautiful ancient capital of Jinling, Nanjing University is a century-old university with a long history and outstanding reputation. Its predecessor was the Sanjiang Normal School, which was founded in 1902, and has gone through historical periods such as Liangjiang Normal School, Nanjing Higher Normal School, National Southeast University, Fourth Sun Yat-sen University, National Central University, and National Nanjing University. In 1950, it was renamed Nanjing University. In 1952, in the adjustment of colleges and universities across the country, Nanjing University adjusted some departments such as engineering, agriculture and normal science, and merged with Jinling University, which was founded in 1888...... [View School Details]

4. Nanjing University Ranking by Subject - Computer Science and Technology (Brain Science and Artificial Intelligence).

The ranking of Computer Science and Technology (Brain Science and Artificial Intelligence) at Nanjing University largely determines the difficulty of the examination room for the college entrance examination at Nanjing University. Therefore, many college entrance examination candidates and parents will first understand the ranking of computer science and technology (brain science and artificial intelligence) of Nanjing University before choosing to apply for the computer science and technology (brain science and artificial intelligence) major of Nanjing University; On the other hand, many college entrance examination candidates want to apply for a university with a very good academic atmosphere, so the ranking data of computer science and technology (brain science and artificial intelligence) at Nanjing University has become very important. Let's take a look at the latest ranking data of Computer Science and Technology (Brain Science and Artificial Intelligence) at Nanjing University!

5: Nanjing University Computer Science and Technology (Brain Science and Artificial Intelligence) Enrollment Information Network

【Nanjing University Admissions Network Entrance】

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The above content is part of the enrollment major information released by the Nanjing University Admissions Network, please click >> Nanjing University Enrollment Majors Summary for the introduction of enrollment majors and employment of each major in Nanjing University

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