Fundamentals and Applications of AI

About






We are pleased to present the AI Development, Applications & Beyond Program, an English-taught distance learning program.  This program provides a unique platform for high school/undergraduate students around the world to learn advanced cutting-edge AI technology under the guidance of NTU distinguished professors. Program participants will take part in online meetings with the professors to discuss and reflect on their learning and understanding of the program.

Program Content: 
1. Introduction of AI (Deep Learning)
2. Artificial Intelligence for Engineering Application
3. The Application of Human Computer Interaction (HCI) and Virtual Reality (VR)
4. AI/NLP for Data Science and Text Analysis
5. Discussion ( 18:30-19:30, April 26, Taiwan Time )


After successful completion of watching all online courses and passing the online quiz, and attending the discussion section, students will receive NTU short-term program certificate from this 10 - hour Fundamentals and Applications of AI Program. This Online program will be offered from Apr 20 to May 8, 2022.




 

Applications

01

Who Can Apply

1. Students from Grade 10 and above who are currently studying in High School
2. University undergraduate / College students

02

Required Documents

1. Please upload your passport bio page
2. Please upload a copy of your currently enrolled high school student ID card or current university enrollment  verification

03

Application Procedure

  1. Fill in the online application form
  2. Pay the application fee USD 150 online by credit card (non-refundable)
  3. Upload Documents :
  4. Please log in with:
    Account: E-mail address
    Password: Date of Birth (YYYYMMDD)
  5. Check Status: The submitted documents will be reviewed by NTU and will send the acceptance/rejection notice.
  6. Program fee
  7. USD185 within 5 working days after receiving the acceptance notice
    Special Price: USD155

    - Early Bird application & payment (before Mar. 20)
    - Group application (at least 6 students)
    * In order to receive the group discount, a list of participants should be submitted to the program coordinator before applying.

  8. Please ignore step 6 (Admission Procedure)






 

Fees

Application fee: USD150 (non-refundable)
Program Fee: USD185 within 5 working days after receiving the acceptance notice
Special Price: USD155
     - Early Bird application & payment (before Mar. 20)
     
- Group application (at least 6 students)
     *In order to receive the group discount, a list of participants should be submitted to the program coordinator before applying.  

*Total fee of this program= Application Fee + Program Fee
 
 

Refund Policy

 - 90% refundable if the student cancels the program before the start of class.
 - 50% refundable if the student cancels the program before Apr 25.
 - not refundable if the student cancels after Apr 25.
 - fully refundable if NTU cancels the program.






 

How to watch online course

                                     
 

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Faculty and Course




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Course Coordinator:
Dr. Jiun-Haw Lee 李君浩


Position:
Associate Vice President for International Affairs, NTU
Director of Nano-Electro-Mechanical-System (NEMS) Research Center, NTU
Professor, Department of Electrical Engineering, NTU

Education:
Ph.D., Dept of Electrical Engineering, National Taiwan University

Research and Specialty: 

Organic Light-emitting Device, Display Technologies
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123

Course Title: Introduction of AI
Dr. Hung Yi Lee 李宏毅

Special Award:
The 59th Ten Outstanding Young Person Award in Science and Technology Research & Development of Taiwan (R.O.C.)

Position:
Associate Professor, Department of Electrical Engineering, NTU

Education:
Ph.D., Department of Electrical Engineering, NTU

Research and Specialty:
Machine learning (especially deep learning), spoken language understanding, and speech recognition

Course Introduction: 
Gmail knows if an email is spam, Facebook knows if a photo contains a human face, Siri understands and answers user questions, and Alpha Go is better than professional players. Humans do not directly design the programs in these applications. Instead, the machine can automatically learn from data. How to design algorithms that allow machines to learn automatically is the focus of this course.
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123
 

Course Title: Artificial Intelligence for Engineering Application
Dr. Chuin-Shan Chen 陳俊杉

Position:
Professor, Computer-Aided Engineering, Department of Civil Engineering, NTU
Professor, Department of Materials Science and Engineering, NTU
Associate Director, Center of Innovation and Synergy for Intelligent Home and Living Technology (iNSIGHT), NTU
Director, NTUCE-NCREE Joint Artificial Intelligence Research Center

Education:
Ph.D., School of Civil and Environmental Engineering, Cornell University

Research and Specialty:
Multiscale Modeling, Computational Mechanics, Materials Modeling, Artificial Intelligence for Engineering Application

Course Introduction:
AI for engineering applications is producing new and relevant solutions that continues transforming our society at a fast pace. The trend has a long runway and we are still in its early innings. In this talk, I will give a few examples, some conducted in our group, to highlight this emerging trend and discuss a few observations to move the field forward.
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Course Title: The Application of Human Computer Interaction (HCI) and Virtual Reality (VR)
Dr. Mike Yen-Yang Chen 陳彥仰
 
Position:
Associate Professor, Department of Computer Science and Information Engineering, NTU

Education:
Ph.D., Computer Science, UC Berkeley; Certificate in Management of Technology, Haas School of Business, UC Berkeley

Research and Specialty:
Human-Computer Interaction, Mobile Computing, Cloud Computing, Ubiquitous Computing

Course Introduction:
This course highlights the evolution of human-computer interaction (HCI) over the last 50 years, and the integration of artificial intelligence (AI) to enable more intelligent user interfaces. Topics include novel sensing and actuation, and span technologies such as biometric authentication on smartphones that enables usable security, intelligent voice-based assistants that supports conversational interaction, computational photography that captures the world more like the human eyes, and virtual/augmented reality that reshape our senses. Examples are drawn from existing products as well as research prototypes that explore future human-computer interaction possibilities.

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Course Title: AI/NLP for Data Science and Text Analysis
Dr. Shu-Kai Hsieh 謝舒凱

Position:

Chair, Graduate Institute of Linguistics, NTU
Associate Professor, Graduate Institute of Linguistics, NTU
Researcher, Center for Artificial Intelligence and Advanced Robotics

Education:
Ph.D. Computational Linguistics, University of Tubingen, Germany

Research & Specialty:
Corpus and Computational Linguistics / Lexical Semantics / Morphology / Linguistic Philosophy and Pragmatics / Cognition and Language

Course Introduction: 

This course provides a brief introduction to Data Science and Text Analytics with AI/NLP (Natural Language Processing) technologies. We are now living in a world increasingly overwhelmed by data. Data science, broadly taken as the science of extracting meaningful information from data is gaining prominence in understanding the world and society we live in. And as unstructured data is the most abundant type of data ever generated on a daily basis, the analytic process that is used for deriving high-quality information from text, often called text analytics or text mining, plays an important role in data science.
The latest AI/NLP techniques have fundamentally reshaped our understanding of data, and are already empowering the new generation of data scientists. In this course, we will introduce the basic idea of Data Science, and explain how AI, Machine Learning, and NLP are making it far more feasible to automate many data analytics processes, including related tools and resources. Some real applications will be demonstrated.
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Contact Us

 

Sendy LIN (Ms.)

ntuplusacademy@ntu.edu.tw
Tel: +886-(0)2-33662007 ext 235