信息学院2018年暑期课程项目选课通知
各位同学：
为推进本科教育国际交流，足不出户感受外籍名师教学风采，学院邀请美国德州大学Hamed Sari-Sarraf教授，于7月23日-8月1日来院开始全英文课程《图像处理与深度学习》（课表附后），请各位同学7月5日下午17:00前将报名信息发送至E-mail：moonbird@mail.hzau.edu.cn（邮件标题：暑期课程选课，信息包括个人学号、姓名、专业班级、手机号、QQ号等）
信息学院教务办公室
2018年6月25日
课程信息
² 课程名称：图像处理与深度学习/Digital image processing & Deep Learning
² 学时学分：32学时，2学分
² 授课教师： Hamed Sari-Sarraf（美国，教授）
² 选课对象：大二及以上本科生、研究生
² 上课时间：7月23日（周一）-8月1日（周三）
上午8：30-11：30 课堂教学
下午2：30-4：30 实践练习
² 课程考核方式：考查
² 授课内容及学时安排
7.23 |
7.24 |
7.25 |
7.26 |
7.27 |
Image processing basics |
Image processing basics |
Image feature extraction |
Image feature extraction |
Machine learning basics |
7.28 |
7.29 |
7.30 |
7.31 |
8.1 |
Machine learning basics |
No class |
Neural networks and deep learning |
Neural networks and deep learning |
Final test |
授课教师简介：
Hamed Sari-Sarraf received his PhD in electrical engineering from the University of Tennessee, Knoxville, in 1993. After spending one year as a Postdoctoral Research Associate at The U.S. Department of Energy’s Oak Ridge National Laboratory (ORNL), he joined ORNL’s Image Science and Machine Vision Group as a Research Staff Member. In 1999, he accepted a faculty position in the Department of Electrical and Computer Engineering at Texas Tech University, Lubbock, Texas, where he currently holds the rank of Professor and is the Director of the Applied Vision Laboratory. His research focuses on the applications of computer vision in industrial monitoring, precision agriculture, and medical diagnosis. He was the Associate Editor of SPIE’s Journal of Electronic Imaging, a Fulbright scholar, and is a life member of SPIE, and a senior member of IEEE.