DB004228-电磁辐射暴露的测量、建模和预测（全英文）

研究生课程开设申请表

开课院（系、所）：3044am永利集团3044noc      

课程申请开设类型：新开    重开□     更名□（请在□内打勾，下同）

一、课程介绍（含教学目标、教学要求等）（300字以内）

本课程通过系统讲解电磁暴露的测量、建模与预测方法，帮助学生掌握电磁暴露的理论知识，并提供一系列与评估电磁暴露的方法，其中包含了测量与分析，数学建模，人工智能等实践技能，培养学生解决复杂工程问题的能力，同时为无线通信技术的可持续发展提供科学支撑。同时，也可以让学生更好的了解电磁暴露领域的应用、发展，以及当前国际上的最新进展，使学生了解课程的重要性及在实际工作中的重要地位，使其产生对其兴趣。此外，本课程包含了习题课以及课程作业，让学生可以进行分组作业，锻炼合作解决实际问题的能力。预计采用小班教学，10到20人左右。

二、教学大纲（含章节目录）：（可附页）

1、电磁暴露对人体健康的介绍

2、国际标准与规定

3、测量以及分析下行链路

4、测量以及分析上行链路暴露

5、基于AI的下行链路暴露的预测

6、课程作业

7、测量中的不确定性分析

8、使用随机几何对下行网络的暴露进行建模1

9、使用随机几何对下行网络的暴露进行建模2

10、课程作业：用随机几何建模

三、教学周历

注：1.以上一、二、三项内容将作为中文教学大纲，在研究生院中文网页上公布，四、五内容将保存在研究生院。2.开课学期为：春季、秋季或春秋季。3.授课语言为：汉语、英语或双语教学。4.适用学科范围为：公共，一级，二级，三级。5.实践环节为：实验、调研、研究报告等。6.教学方式为：讲课、讨论、实验等。7.学位课程考试必须是笔试。8.课件地址指在网络上已经有的课程课件地址。9.主讲教师简介主要为基本信息（出生年月、性别、学历学位、专业职称等）、研究方向、教学与科研成果，以100至500字为宜。

四、主讲教师简介：

王珊珊，女，法国巴黎综合理工大学-巴黎高等电信学院副教授。研究方向主要是对电磁场暴露的测量，统计表征和基于人工智能的预测，以及对大规模无线网络的数学建模。学术成果发表在IEEE TWC，IEEE WCL等期刊上。王珊珊博士同时是国际电工委员会（IEC）和欧洲电工标准化委员会（CENELEC）TC 106X的专家成员。教学科目主要涉及电磁暴露，天线传播领域。

五、任课教师信息（包括主讲教师）：

六、课程必要性说明

随着无线通信技术的快速发展，电磁暴露及其对人体健康的影响已成为公众关注的焦点。目前所开设的通信与信息系统学科的课程中，缺少专门针对电磁暴露方向的内容。通过开设“电磁暴露的测量、建模和预测”课程，学生将能够深入了解无线通信网络中电磁暴露对人体健康的影响，增强对这一重要研究领域的关注。该课程将帮助学生掌握电磁暴露测量的基本方法，学习如何对电磁暴露进行建模、分析和预测，了解与电磁暴露相关的国际标准，并关注国际前沿研究，从而拓宽学生的国际视野。

七、课程开设审批意见

所在院（系）

审 批 意 见

                 负责人：

                 日  期：

所在学位评定分

委员会审批意见

                      分委员会主席：

                日  期：

研究生院审批意见

                负责人：

                日  期：

  注

说明：1．研究生课程重开、更名申请也采用此表。表格下载：http: /seugs.seu.edu.cn/down/1.asp

2．此表一式三份，交研究生院、院（系）和自留各一份，同时提交电子文档交研究生院。

Application Form For Opening Graduate Courses

School (Department/Institute)：

Course Type: New Open   Reopen □   Rename □（Please tick in □, the same below）

1. Course Introduction (including teaching goals and requirements) within 300 words:

This course systematically explains the methods of measuring, modeling, and predicting electromagnetic exposure, helping students to master the theoretical knowledge of electromagnetic exposure. It also provides a series of methods for assessing electromagnetic exposure, including measurement and analysis, mathematical modeling, artificial intelligence, and other practical skills. This course aims to cultivate students' ability to solve complex engineering problems and provide scientific support for the sustainable development of wireless communication technologies. Additionally, it allows students to better understand the applications, development, and latest international progress in the field of electromagnetic exposure, helping them recognize the importance of the course and its significant role in practical work, thereby sparking their interest in the subject. Moreover, the course includes tutorial sessions and assignments, enabling students to work in groups to solve practical problems and enhance their collaborative skills. The course is expected to be taught in small classes, with around 10 to 20 students.

2. Teaching Syllabus (including the content of chapters and sections. A sheet can be attached):

1.Introduction of EMF Exposure to human health

2.International standards and regulations

3.Measurements and Analysis of downlink exposure

4.Measurements and Analysis of uplink exposure

5.AI based prediction on downlink exposure

6.Coursework

7.Uncertainty quantification in the measurements

8.Modeling exposure from downlink network using stochastic geometry I

9.Modeling exposure from downlink network using stochastic geometry II

10.Coursework：using stochastic geometry modeling

3. Teaching Schedule:

Note: 1.Above one, two, and three items are used as teaching Syllabus in Chinese and announced on the Chinese website of Graduate School. The four and five items are preserved in Graduate School.

2. Course terms: Spring, Autumn , and Spring-Autumn term.

3. The teaching languages for courses: Chinese, English or Chinese-English.

4. Applicable range of discipline: public, first-class discipline, second-class discipline, and third-class discipline.

5. Practice includes: experiment, investigation, research report, etc.

6. Teaching methods: lecture, seminar, practice, etc.

7. Examination for degree courses must be in paper.

8. Teaching material websites are those which have already been announced.

9. Brief introduction of chief lecturer should include: personal information (date of birth, gender, degree achieved, professional title), research direction, teaching and research achievements. (within 100-500 words)

4. Brief Introduction of Chief lecturer:

Shanshan Wang, female, born in February 1991, is an Associate Professor at Télécom ParisTech, École Polytechnique in France. Her research focuses primarily on the measurement, statistical characterization, and artificial intelligence-based prediction of electromagnetic field exposure, as well as mathematical modeling of large-scale wireless networks. Her academic achievements have been published in journals such as IEEE Transactions on Wireless Communications (IEEE TWC) and IEEE Wireless Communications Letters (IEEE WCL). Dr. Shanshan Wang is also an expert member of the International Electrotechnical Commission (IEC) and the European Committee for Electrotechnical Standardization (CENELEC) TC 106X. Her teaching subjects mainly cover the fields of electromagnetic exposure and antenna propagation.

5. Lecturer Information (include chief lecturer)