【MBAChina网讯】美国克莱顿州立大学（Clayton State University）计算机科学与信息技术系教授Junfeng Qu博士自7月2日到南开大学访问并开设Seminar，以下是Seminar的大纲，欢迎感兴趣的师生参加（面向信息资源管理系本科生，也欢迎感兴趣的同学和老师参加）！

时间

7月2日周一，上午1-4节

7月3日周二，上午1-4节

7月4日周三，上午1-4节

7月5号周四，上午1-4节

地点

二主楼A104

Junfeng Qu教授的主要研究领域包括数据科学，知识工程与发现，软件工程，软件测试与质量保证，计算机游戏开发与设计，图像处理与计算机视觉。请有兴趣参加的师生提前注册，注册邮件请发送到李颖老师的邮箱（liying@nankai.edu.cn），邮件请注明姓名、年级、专业及研究方向。英文说明

Visual Analytics and Data Visualization ToolsJunfeng Qu, Ph.D.

Professor

Department of Computer Science and Information Technology

College of Information & Mathematical Sciences

Clayton State University, USA

Visual analytics has a wide spectrum of applications such as finance, business, medical, health care,insurance, money laundering, capital crimes, terrorism, security, internet security, and network analysisetc. People use visualization tools and techniques to synthesize information and derive insightfrom massive, dynamic, ambiguous, and often conflicting data. The overall goal is to detect theexpected and discover the unexpected. Data visualization and mining is a multidisciplinary field,we will focus on the following areas:

1. Data representations and transformations techniques that covers the datatransformation and conversion of data in ways that support visualization and analysis2. Analytical reasoning techniques that enable users to obtain deep insights to supportassessment, planning, and decision making3. Visual reorientations and interaction techniques that take advantage of the humanperception principles to allow users to see, explore, and understand large amounts ofinformation

Prerequisites:

Basic programming concept, Computer Operating System knowledge and file operations

Course Materials & Readings:

Graph Analysis and Visualization (GAV), Richard Brath and David Jonker, Wiley 2015

ISBN: 978‐1‐118‐84584‐4

Illuminating the Pathedited by J. Thomas and K. Cook, IEEE Press, 2006

http://vis.pnnl.gov/pdf/RD_Agenda_VisualAnalytics.pdf

Software tools:

Gephi: https://gephi.org/users/download/

Cytoscape: www.cytoscape.org

D3: https://github.com/d3/d3

NodeXL: http://nodexl.codeplex.com

Aperture JS: http://aperturejs.com/

yEd: https://www.yworks.com/products/yed/download