高级显微学与人工智能硕士

课程结构Programme structure

• one for students with a physical sciences background (physics, engineering, computer science) hereafter called PS and
• 一学生与生命科学学位（LS）one for students with a life science degree (LS)
• 生物成像Biological Imaging
  10
• Nanooptics and Biophotonics
  10
• Ultrastructural Microscopy Imaging
  10
• Current Trends in Bioimaging
  10
• Python for Life Sciences (LS track only)
  10
• 细胞生物学疾病（PS方向仅）Cell Biology of Disease (PS track only)
  10
• High Content Screening Microscopy
  10
• Atomic Force Microscopy
  10
• 视觉知觉与影像处理Visual perception & Image Processing
  10
• 机器学习Machine Learning
  10
• 深学习Deep Learning
  10
• 数据分析与治理显微学成像Data Analysis & Governance in Microscopy Imaging
  10
• Image Processing Tools in Microscopy (LS track only)
  10
• Advanced Programming Tools for AI (PS track only)
  10
• Video Processing in Microscopy
  10
• Cutting-edge Deep Learning Methods for Image Processing
  10
• 实验光学与显微学Experimental Optics & Microscopy
  10
• 自动化与显微学Automation & Microscopy
  10
• 研究技能Research Skills

  PHYS5015

  10
• Group Project: Smart Microscopy
  10
• 高级技术显微学Advanced Techniques in Microscopy
  10
• 计算成像显微学Computational Imaging Microscopy
  10
• Lasers

  ENG5049

  10
• 微电子消费产品Microelectronics in Consumer Products 4

  ENG4098

  10
• Nano and Atomic Scale Imaging 1

  PHYS5041

  10