Postgraduate Program of Master Degree of Mathematics Science for Overseas Students

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我校 88858cc永利官网/大数据学院

School of Science/School of Big Data Science

Zhejiang University of Science and Technology

数学一级学科全英文授课外国来华留学研究生培养方案

Postgraduate Program of Master Degree of Mathematics Science for Overseas Students

学科门类:理学   学科代码:0701

(SubjectScience,  Subject Code0701)

一、培养目标Training Objectives

1.具有较坚实的数学基础理论和较系统的专门知识,熟悉数学学科所属研究方向的发展现状、趋势和研究前沿。

The students of this program should grasp the basic theories and knowledge of mathematics solidly and systematically, and be familiar with the development status, trends and frontiers of the research direction of mathematics.

2.具有一定的独立从事本学科或相关学科领域的科研能力。能运用数学知识及计算机技术分析和解决自然科学和工程技术中的一些问题,具有较好的科研素质和较强的创新能力。

The graduates would be able to engage in independent research in the field of this subject or related subject,use mathematical knowledge and computer technology to analyze and solve some problems in natural science and engineering technology, and have good scientific research quality and strong innovation ability.

 

二、学习年限Length of Schooling

基本修业年限3年。最长修业年限为5年,其中累计在校学习时间不少于3年。

The basic length of schooling is 3 years. The students have a maximum of 5 years to finish their Master Degree with cumulative study time in the school no less than 3 year.

 

三、研究方向Research Orientations

1.调和分析与偏微分方程   Harmonic analysisand partial differential equation

2.复分析与算子理论   Complex analysis and operator theory

3.大数据处理与统计分析  Big data processing and statistics analysis;

4.动力系统与数值计算 Dynamical system and numerical calculation

5. 图论与信息处理   Graph theory and information processing

 

四、课程设置与学分要求  Curriculum and Credit Requirements

硕士研究生课程由公共学位课、学科学位课、学科选修课以及专业实践环节四部分组成,实行学分制,学位课(必修课)不少于18学分,非学位课(选修课)不少于11学分,必修环节3 学分,总学分不少于32学分。

具体课程设置附后。

The postgraduate curriculum is composed of public degree courses, professional degree courses, selective courses and professional practice courses. The students should get 18 credits at least from degree courses, 11 credits at least from non-degree courses and 3 credits at least from practices. 32 credits would be required for graduation.

Attached is the detailed curriculum schedule.

附:数学一级学科全英文授课外国来华留学硕士研究生课程设置

Course  Schedule

类别
Category

课程编号
Curriculum
Serial Number

课程名称
Course Name

总学时
Total
Hour

学分
Credit

开课学期
Term

考核方式
Assessment
Methods

备注
Remark

学位课

Degree

Courses

公共学位课
Common
Courses

00000152001E

中国概况(英)
Chinese Survey

32

2

1

考试
Exam

公共课必修

9学分)

Common Course Obligatory

(9 credits)

必修(18学分)Obligatory (18 credits)

 

00000154003E

汉语
Chinese Language

64

4

1

考试
Exam

00000093001E

  统计学(英)

Statistics

48

3

1

考试

Exam

学科类

学位课

Subject Degree

Courses

00907013001E

实分析(英)

Real analysis

48

3

1

考试

Exam

专业课必修

9学分)

Major Course Obligatory

(9 credits).

00907013002E

代数学(英)

     Algebraictheory

48

3

1

考试

Exam

00907013004E

数值计算方法(英)

Numerical computation Technique

48

3

2

考试

Exam

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

非学

位课
Non-

degree
courses

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

学科类

选课修
Subject
elective
courses

00907012004E

傅里叶分析(英)

Fourier Analysis

32

2

3

考试
Exam

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

专业选修
11学分,

其中至少

5学分考

试课)
Selective
(11 credits,

at least 5

credits for test.)

00907013005E

非线性偏微分方程(英)

Nonlinear partial differential equations

48

3

3

考试
Exam

00907012006E

Hp空间理论(英)

Theory of Hp spaces

32

2

2

考试
Exam

00907012007E

函数空间算子理论(英)

Operator theory in function spaces

32

2

2

考试
Exam

00907013008E

图论(英)

Graph Theory

48

3

2

考试
Exam

00907013009E

优化理论与方法(英)

Optimization Theory and Methods

48

3

2

考试
Exam

00907013010E

组合代数(英)

Combinatorial Algebra

48

3

3

考试
Exam

00907013011E

机器学习基础(英)

Fundamentals of Machine Learning

32

3

2

考试
Exam

00907012012E

神经网络与深度学习(英)

Neural Networks and Deep learning

32

2

2

考查

Check

00907012013E

大数据处理技巧(英)Techniques of Big-data Processing

32

2

3

考查

Check

00907013014E

调和分析方法

Harmonic analysis Technology

48

3

3

考查

Check

00907012015E

工程软件与应用(英)

Engineering software and Applications

32

2

3

考查

Check

00907012016E

工程统计预测与决策(英)Engineering statistical forecasting and decision-making

32

2

4

考查

Check

00907013017E

抽象代数(英)

Abstract Algebra

48

3

3

考查

Check

00907012018E

图谱理论(英)

Spectral Graph Theory

32

2

4

考查

Check

00907012019E

精算分析技术及应用(英)

Actuarial Analysis Technology and Applications

32

2

3

考查

Check

00907012020E

工程数据分析(英)

Engineering Data Analysis

32

2

3

考查

Check

必修环节
Compulsory
courses

00907011021E

实践实习
Practices

5
5 Weeks

1

1-5

考查

Check

必修
3 学分)
Obligatory
(3 credits)

00907011022E

文献综述与开题报告
Review and Opening Lecture

1
Once

1

2

考查

Check

00907011023E

学术报告
Academic Seminar

3 次以上

> 3 Times

1

1-3

考查

Check

小计
Subtotal

32学分 credits


五、培养方式  Training Methods

1.硕士生培养采取导师负责制,以课程学习、科学研究、新技术开发及相应的项目研究工作为主要方式.

Supervisor takes the responsibility of the student’s study and research program which is mainly comprised of course learning, scientific research or new technology development and/or its related project research.

 

2. 研究生须在修满本学位点要求的32学分之外,在导师指导下,独立承担与本专业相关的课题研究,并取得阶段性研究成果后,方可申请答辩.

In addition to fulfilling the minimum requirements of 32 credits, the master degree students should undertake research programs related to their major fields and get certain research achievements, before applying for thesis defense.

 

3. 主要实践环节 (Main Practice/Internship).

科研实践、文献综述与开题报告、学术报告、毕业设计(论文)

It includes Science Research Practices, Literature Review and Thesis Proposal, Academic Report, and Process Design (or Dissertation).

 

六、培养过程实施 Performance of Training Process

1. 制订个人培养计划 Formulating a personal training proposal

研究生入学后一个月内,在导师的指导下根据本学科培养方案和研究生本人的具体情况确定研究方向与制订个人培养计划,经学位点负责人审定后实施.

The student should make his/her research direction and individual training proposal decided under the guidance of his/her supervisor, according to the master curriculum and his/her orientation, within one month after enrollment. The training program shall be implemented after being approved by the head of the academic degree program.

 

2. 开题报告Thesis Proposal

研究生应系统地查阅国内外有关文献,了解国内外科技动态,并对收集的资料做出分析和评述,指出需要解决的问题和方法,在导师指导下提出论文工作计划,并做开题报告.

The student should systematically review literatures published, know well the trend of scientific and technological development of his/her research filed, analyze and comment the collected information, point out the issues need to be resolved and  possible solutions, and make an open research proposals under the guidance of his/her supervisor.

 

3. 学位论文Dissertation

学位论文必须在导师的指导下由研究生本人独立完成.

The dissertation should be completed independently by the graduate student under the guidance of his/her supervisor

论文中的科学论点要概念清楚、论据充分;对所选用的研究方法要有科学根据,理论推导正确,计算结果无误,实验数据真实可靠,分析严谨;对结论应作理论上的阐述,引用他人的材料要引证原著. 论文应有创新性成果。论文要求词句精练通顺、条理分明、逻辑性强、文字图表清晰整齐. 凡需保密的论文应注明密级.

The results in the dissertation should be clear and supported with sufficient evidences; the research methods should be scientific, and the theoretical derivations and calculations should be correct; the experimental data should be true and rigorously analyzed; the conclusions should be supported with theoretical statements and citations of the original literatures should be used. The dissertation should have some innovative achievements. The language of the dissertation should be concise, fluent and logical; the texts, figures and tables should be clear and tidy. For the confidential dissertations, the confidential levels should be marked.

学位论文格式要求参见《我校研究生学位论文格式的统一要求》.

Format requirements of the dissertation can be referred to “Uniformed format requirements for graduate dissertations of Zhejiang University of Science and Technology”.

 

4. 论文评阅、答辩 Peer review and oral defense

参见《我校关于研究生学位论文评阅及答辩工作的规定》.

Refer to “Regulations for the process of being reviewed and oral defense of graduate dissertation of Zhejiang University of Science and Technology”.

 

5. 学位授予Degree-conferring

参见《我校硕士学位授予工作细则》.

Refer to “Guidance on conferring Master’s Academic Degree of Zhejiang University of Science and Technology”.