PHD IN ARTIFICIAL INTELLIGENCE (AI)

Required Courses

  • Computer Vision and Its Applications
  • Foundations of Data Mining
  • Introduction to Computing Using Python
  • Foundations of Artificial Intelligence
  • AI Security and Privacy
  • Reinforcement Learning and Optimization

Sample Elective Courses

  • Foundation of Deep Neural Networks
  • Advanced Deep Learning
  • Chasing Trends for Visual Intelligence: From Recognition to 3D Reconstruction
  • Machine Learning on Graphs
  • Programming for Vision Systems
  • Autonomous AI
  • Advanced Algorithms and Data Structures
  • Artificial Intelligence for Medical Imaging
  • Fundamentals of Machine Learning
  • Responsible Artificial Intelligence
  • Multimodal Artificial Intelligencee
  • Applied Deep Learning: From Speech to Language and Multimodal Processing
  • Machine Consciousness
  • Quantum Computing
  • Information Theory for Machine Learning
  • Natural Language Processing and Its Applications
  • Topics in Artificial Intelligence
  • Topics in Machine Learning
  • Research Internship
  • Independent Studies
  • Machine Learning for the Arts
  • Data Mining and Knowledge Discovery in Data Science
  • Special Topics in Intelligent Transportation
  • Convex and Nonconvex Optimization I
  • Information Technology in Advanced Energy Systems
  • Special Topics in Smart Manufacturing
  • Science of Cities
  • Urban Data Acquisition and Analysis

Program Learning Outcomes

  • 01
    Demonstrate thorough knowledge of the literature and a comprehensive understanding of scientific methods and techniques relevant to AI.
  • 02
    Demonstrate practical skills in building AI systems.
  • 03
    Critically apply theories, methodologies, and knowledge to address fundamental questions in AI.
  • 04
    Independently pursue research or innovation of significance in AI applications.
  • 05
    Demonstrate skills in oral and written communication sufficient for a professional career.
PHD

General Information

  • Credit structure:

    PhD: 21 credits

  • Normative Program Duration:

    PhD:

    Full-time: 3 years (those with a relevant research master’s degree), 4 years (those without a relevant research master’s degree)

微信
微博
facebook
linkedin