Analysis of Xiamen University Computer Postgraduate Entrance Examination

Follow our WeChat official account

Yao Ge's computer postgraduate entrance examination

More details are welcome to consult

Xiamen University (B+) postgraduate entrance examination difficulty (☆☆☆☆☆)

The main schools recruiting students for the computer postgraduate entrance examination at Xiamen University include the School of Information, the Institute of Artificial Intelligence, the School of Medicine and the School of Film. Proposed admission lists have now been released .

Xiamen University School of Information (Specialized Demonstration Software School) was established in June 2019 by the merger of the former School of Information Science and Technology and the former National Demonstration Software School (referred to as Software School). The college has teaching experimental units such as the Department of Artificial Intelligence, the Department of Computer Science and Technology, the Department of Software Engineering (Software Engineering Center), the Department of Information and Communication Engineering, and the National Experimental Teaching Demonstration Center for Electronic Information. The School of Information is also listed as the "National Demonstration Software School".

The Artificial Intelligence Research Institute of Xiamen University was established in October 2020. It is a teaching and research institution directly under Xiamen University. It is led by Chen Chun, an academician of the Chinese Academy of Engineering and a computer application expert. It gives full play to the advantages of subject development and talent training, aiming to improve the quality of the school's artificial intelligence discipline. Accelerate the construction of "double first-class". The Artificial Intelligence Research Institute aims to explore new scientific research models across the entire chain, lead the school's information disciplines to the top, and serve the national/regional economic and social development with high quality. The school empowers advantageous disciplines, highlighting computer vision, pattern recognition, spatial data computing, Features such as social network analysis, artificial intelligence chips, and machine translation will give full play to the cross-cutting advantages of intelligent sonar, intelligent energy power health, and artificial intelligence chip semiconductor preparation to enhance the connotation of artificial intelligence disciplines and form the direction of AI advantages with Xiamen University characteristics; strengthen and first-class outside the school Enterprise strategic cooperation, sharing intellectual property rights, implementing technical services, and empowering the AI industry chain.

In the fourth round of subject evaluation, Computer Science was rated B+ and Software Engineering was rated B.

23rd Preliminary Examination Subjects

college	Subject	initial account
School of Information—Department of Computer Science and Technology	computer science and Technology	politics	English 1	Mathematics 1	408
	computer technology	politics	English 2	Mathematics 2
School of Information—Department of Information and Communication Engineering	AI	politics	English 2	Mathematics 2
School of Information—Artificial Intelligence Department	computer science and Technology	politics	English 1	Mathematics 1
	Intelligent Science and Technology	politics	English 1	Mathematics 1
	AI	politics	English 2	Mathematics 2
School of Information—Software Engineering Department	computer science and Technology	politics	English 1	Mathematics 1
School of Information—Software Engineering Department	software engineering	politics	English 2	Mathematics 2
medical school	Health big data and intelligent medicine	politics	English 1	Mathematics 1
Film Academy	computer science and Technology	politics	English 1	Mathematics 1
Film Academy	software engineering	politics	English 2	Mathematics 2
Artificial Intelligence Research Institute	AI	politics	English 2	Mathematics 2

The school’s 2023 postgraduate entrance examination planned admissions number: 47 people from the School of Information - Department of Computer Science and Technology, 2 people from the School of Information - Department of Information and Communication Engineering, 21 people from the School of Information - Department of Artificial Intelligence, 9 people from the School of Information - Department of Software Engineering, There are 2 people from the School of Medicine, 10 people from the Film School, and 48 people from the Artificial Intelligence Research Institute.

Preliminary exam reference books

408 Comprehensive Fundamentals of Computer Major

data structure:

"Data Structure" C language version, edited by Yan Weimin and Wu Weimin, Tsinghua University Press, 2009.

Principles of computer composition:

"Principles of Computer Composition", Yuan Chunfeng

operating system:

"Operating System" Tang Xiaodan

computer network:

"Computer Network" Xie Xiren

Analysis of initial professional courses

Comprehensive basics of computer science major, subject code 408.

　　①The full score of the test paper and the test time: The full score of the test paper is 150 points, and the test time is 180 minutes. The test will be held from 14:00-17:00 in the afternoon of the next day. The answering method is closed book, written test.

　　②The content of the test paper consists of: data structure 45 points, computer composition principle 45 points, operating system 35 points, computer network 25 points

　　③ Question structure of the test paper: 80 points for multiple choice questions, 40 questions, each question is 2 points. Questions 1-10 are the data structure part. Questions 11-22 are the computer composition principles part. Questions 23-32 are the operating system part. Questions 33-40 Is the computer network part

　　Comprehensive application questions are worth 70 points, with a total of 7 questions. Questions 41 and 42 are data structure questions, worth 10 points and 15 points respectively. Questions 43 and 44 are questions on the principles of computer composition, worth 8 points and 13 points respectively. Questions 45 and 46 are operating system questions, worth 7 and 8 points respectively. Question 47 is a computer network question with a score of 9 points.

computer science:

Re-examination subjects and procedures

Retest format:

Our department adopts offline on-site re-examination.

Retest composition:

The total score of the re-examination is 100 points, which includes two parts: computer-based examination and comprehensive basic interview. The computer-based exam and the interview exam are scored on a hundred-point scale respectively. If any score in the computer-based exam or the interview exam fails (less than 60), the re-examination will not be passed; the re-examination will not be passed.

If the total score is less than 6600 points, you will fail the re-examination. The re-examination will be conducted offline. The specific assessment content is as follows:

(1) Computer-based exam (duration 180 minutes):

The closed-book exam is related to C language and data structure. There are five questions in total. The scope of the exam can be found in the "Scope of Computer Science and Technology 2023 Computer Science and Technology Master's Re-examination".

(2) Comprehensive basic interview (20 minutes long):

a) Speaking: Candidates introduce themselves in English, mainly testing their ability to express opinions, and the time should not exceed 2 minutes.

b) Reading and understanding of English passages: Candidates remotely randomly select a passage from an English passage on basic knowledge of this major. After reading for 2 minutes, they will dictate the main idea of the passage orally. This test mainly tests the candidates' reading and expression abilities in English documents.

c) Professional knowledge: Candidates randomly select 1 professional-related question (you can have 2 opportunities to select questions, and only need to answer 1 question), and the answering time shall not exceed 2 minutes.

d) Comprehensive ability: Candidates use PPT presentations to demonstrate their comprehensive qualities, and the time should be strictly controlled within 5 minutes.

e) Free question and answer: It adopts the form of teacher asking questions and candidates answering. The content includes: examining the candidates' mastery of basic knowledge and professional knowledge, scientific research experience, educational background, language expression ability and logical thinking ability, ideological and political quality and moral character, etc.

f) The results of computer-related certifications, examinations or competitions (such as CCFCSP certification, ACM competitions, etc.) can be used as a reference for comprehensive ability. Candidates who have participated in such certification examinations should present various certification examination results or certificates during the assessment. , and prepare five paper resumes for the interview

test site.

Calculation method for re-examination scores

The retest score is calculated based on a full score of 100 points.

Re-examination score = computer-based test score (100-point system) × 50% + interview score (100-point system) × 50%

Calculation method of intended admission scores:

Adhere to the principle of "admission on the basis of merit, rather than overuse" to determine the list of candidates to be admitted. Total score = preliminary test score ÷ 5 × 50% + retest score (percentage system) × 50%. The full score of the re-examination is 100 points.

Department of Artificial Intelligence:

Retest content:

Retest format:

Our department adopts offline on-site re-examination.

Retest composition:

The total score of the professional re-examination is 100 points, and the content includes: computer-based examination and interview examination. The computer-based test lasts 90 minutes and the interview lasts 20 minutes. The computer-based exam and the interview exam are scored on a hundred-point scale respectively. If the score in any of the computer-based exam or the interview exam fails (less than 60 points), the assessment will not be passed; if the total score of the re-examination is less than 60 points, the re-examination assessment will be failed. The computer-based exam uses C language programming.

The interview content includes three parts: foreign language test, professional quality and ability test, and comprehensive quality and ability test. Each candidate is interviewed individually according to the interview rules established by the college. The specific interview content is as follows:

(1) Foreign language:

a) Speaking: Candidates introduce themselves in English, mainly testing their ability to express opinions, and the time should not exceed 3 minutes. Full score 10 points.

b) Short article reading and comprehension: Candidates remotely randomly select a paragraph from an English short article on basic knowledge of this major. After reading for two minutes, they immediately dictate the main idea of the short article. This mainly tests the candidate's reading and expression ability in English documents. The full score is 10 points.

c) English answer questions: randomly select a question and answer it in English. Full score 10 points.

(2) Professional quality test:

Professional questions: The test content is computer basics and artificial intelligence basics; candidates will randomly select 2 questions, and the answer time for each question shall not exceed 3 minutes.

Full score is 35 points.

Comprehensive knowledge interview: It adopts the form of free questions from the teacher and answers from the candidates. The contents include: examining the students’ educational background, graduation project or scientific research experience, mastery of basic knowledge and professional knowledge, sense of responsibility and academic attitude, language expression ability and logical thinking. Ability, comprehensive humanities knowledge, quality, etc., with a full score of 35 points.

Re-examination score calculation method:

The retest score is calculated based on a full score of 100 points.

Re-examination score = computer-based test score (percentage system) × 30% + interview score (percentage system) × 70

Calculation method of intended admission scores:

Department of Software Engineering:

Retest content:

Retest format:

Our department adopts offline on-site re-examination.

Retest composition:

The re-examination method is an interview, and the content includes: foreign language test and professional comprehensive ability examination. Each candidate will conduct an offline interview individually according to the following interview rules, which will last 20 minutes. The specific interview content is as follows:

(1) Foreign language: 4 minutes in duration, accounting for 30% of the retest score

a) Professional English translation, paragraph translation of professional documents;

b) Spoken English.

(2) Professional comprehensive ability test: 16 minutes in duration, accounting for 70% of the retest score

a) Candidates' PPT presentation: Prepare a PPT presentation within 8 minutes to display content that can reflect the individual's comprehensive qualities. Strictly control the time. If there are award-winning scientific research projects, etc., you must reflect your work part. PPT content can include but is not limited to: competition and scientific research experience, internship project experience, software and hardware capabilities, graduation project, course design, major assignments involving research, self-study, code, hardware, etc., try to reflect your ability to solve practical problems ; It can also be reflected in plans for the postgraduate level.

b) Question and Answer: The judging teacher will randomly ask questions, and the candidates will answer them, lasting 8 minutes.

Re-examination score calculation method:

The retest score is calculated based on a full score of 100 points. If the total score of the re-examination is less than 60 points, you will fail the re-examination.

Calculation method of intended admission scores:

Department of Information and Communication Engineering:

Retest content:

Retest format:

Our department adopts offline on-site re-examination.

Retest composition:

The re-examination includes two parts: professional course written examination and comprehensive basic interview. Professional written examinations and interview examinations are scored on a hundred-point scale respectively. The re-examination will be conducted offline. The specific assessment contents are as follows:

(1) Written examination for professional courses

Written examination courses include: data structures and algorithms, operating systems, and computer networks. It is a closed-book exam with multiple choice questions, short answer questions, comprehensive questions, etc. The total exam time is 120 minutes.

(2) Comprehensive basic interview (20 minutes long)

a) English proficiency test: (accounting for 15% of the total score)

Candidates introduce themselves in English, and then randomly select a professional English question to answer, which takes about 3-5 minutes.

b) Comprehensive quality and ability test: (accounting for 45% of the total evaluation score)

*Candidate’s personal PPT statement: (accounting for 20% of the overall score)

The content includes but is not limited to: course study and English, participation in scientific research projects and scientific research results, scientific innovation and subject competitions, student work, research directions during the master's degree, etc., to demonstrate the candidate's comprehensive quality, and the time should be strictly controlled. Within 5-7 minutes.

*Professional ability assessment: (accounting for 25% of the total evaluation score)

It adopts the form of teacher asking questions and candidates answering. The content includes: extension of candidates’ resumes and PPT presentation content, assessment of candidates’ mastery of basic and professional knowledge, ideological and political quality and moral character, etc. The total duration is about 5-8 minutes.

Re-examination score calculation method:

Re-examination score = professional written test score (percentage system) × 40% + interview score (percentage system) ×

60%

Calculation method of intended admission scores:

Artificial Intelligence Research Institute:

Retest content:

Retest format:

Our department adopts offline on-site re-examination.

Retest composition:

Calculation method of intended admission scores:

Analysis of the test situation for first-choice candidates entering the re-examination in 2023

Analysis of the list of candidates for re-examination

Retest analysis

Professional direction	Subject	Number of people retesting	Lowest score on first test	Preliminary test average score	Highest score in preliminary exam
School of Information—Department of Computer Science and Technology	computer science and Technology	9	311	340.6	398
	computer technology	65	350	380.7	426
School of Information—Department of Information and Communication Engineering	AI	2	377	396	415
School of Information—Artificial Intelligence Department	computer science and Technology	4	346	354.8	360
	Intelligent Science and Technology	5	332	350.6	376
	AI	36	373	392.2	421
School of Information—Software Engineering Department	computer science and Technology	1	351	351	351
School of Information—Software Engineering Department	software engineering	15	381	391.6	415
medical school	Health big data and intelligent medicine	2	319	346	373
Film Academy	computer science and Technology	0	0	0	0
Film Academy	software engineering	17	338	368.6	420
Artificial Intelligence Research Institute	AI	97	348	370.2	417

Proposed admission analysis

Professional direction	Subject	Number of admitted students	Lowest score on first test	Preliminary test average score	Highest score in preliminary exam
School of Information—Department of Computer Science and Technology	computer science and Technology	7	311	339.6	398
	computer technology	37	350	387.1	426
School of Information—Department of Information and Communication Engineering	AI	2	377	396	415
School of Information—Artificial Intelligence Department	computer science and Technology	2	346	350.5	355
	Intelligent Science and Technology	3	332	344.7	352
	AI	16	375	390.6	421
信息学院—软件工程系	计算机科学与技术	1	351	351	351
信息学院—软件工程系	软件工程	8	381	391.3	405
医学院	健康大数据与智能医学	2	319	346	373
电影学院	计算机科学与技术	0	0	0	0
电影学院	软件工程	10	362	383.2	420
人工智能研究院	人工智能	48	348	375.9	417