NCKU Curriculum Map
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INTRODUCTION TO ARTIFICIAL INTELLIGENCE AND DEEP LEARNING FOR ENGINEERS AND SCIENTISTS

Artificial Intelligence (AI) already impacts the life of essentially all internet users, but at the same time it is Science Fiction. Deep Learning (DL) has since the ImageNet LSVRC-2012 contest established itself as one of the core technologies driving the third industrial revolution with many commercial applications.?The success of the current wave of Artificial Narrow Intelligence (ANI) is due to: ‧big labelled data ‧GPU accelerated distributed computing, ‧open source software, and ‧algorithms. In this course, we will discuss what AI and DL is, their applications and implications from an automation perspective, the importance of ethics and danger of algorithm bias, and the methods that make AI possible, with a focus on Deep Neural Networks. You will also get to apply a Neural Network to recognize numbers in images, using Python and TensorFlow. No previous knowledge of AI, Python, or TensorFlow is needed.

Course Goal
A. Develop humanistic literacy
B. Acquire interdisciplinary knowledge
Course Principle Literacy and Competence
[Principle Literacy]
  • Cultural Literacy
  • Global Vision
  • [Competence]
  • To think critically
  • To cross disciplinary boundaries
  • To adapt to social change
  • Courses of Recent Years
    Year/
    Semester
    Course
    Number
    Class
    Code
    Course Name
    (The name will link to the syllabus.)
    Credit Taught in English
    (Yes or No)
    Instructor
    0108/2 A93A600 [GE2029]INTRODUCTION TO ARTIFICIAL INTELLIGENCE AND DEEP LEARNING FOR ENGINEERS AND SCIENTISTS 2.0 Y Nordling, Torbjoern