Online Course for
Artificial Intelligence & e-Commerce

GRADUAN Academy Collaboration with Sichuan University

Course Descriptions

Artificial Intelligence (AI)

| 6 hours

Artificial intelligence (AI) is an important research field in computer science. AI means intelligence exhibited by machines. In the recent years, AI has become a hot research area in both academia and industry. The course will introduce some basic concepts and methods of AI, and AI in E-Commerce.

E-commerce

| 5 hours

The course will discuss several key aspects of digital marketing, including social media, online advertising, and marketing channels, etc. Students will learn strategies and methods that marketers can use to operate successfully in today’s digital environment. We are going to show how digital technology has changed the traditional marketing activities. Business cases and simulations will make it possible for students to solve digital marketing problems in the real world. The course focuses on helping students recognize the role of systematic information gathering and analysis in digital making environment, in addition to developing an appreciation for the potential contributions and limitations of marketing research data.

This course will help students: -

    1. Recognize the role of social media in making marketing decisions.

    2. Understand the potential contributions and limitations of social media.

    3. Learn key metrics/marketing research tools for data collection and data analysis in digital environment.

    4. Learn future directions of social media.

Tentative Content arrangement

| Artificial Intelligence (AI)

(1) The AI Revolution

  1. Artificial intelligence and intelligence

  2. Alan Turing and Turing test

  3. A brief development history of AI

(2) Deep Neural Networks: How Does Your Brain Work?

  1. Different AI tribes

  2. The most successful AI methods

  3. Where does intelligence come from?

  4. The biological neural networks

  5. The artificial neural networks

(3) AI in our lives (I)

  1. Image analysis

  2. Fingerprint recognition

  3. Facial recognition

  4. Vehicle license plate recognition and ITS

(4) AI in our lives (II)

  1. Speech recognition

  2. Natural language processing

  3. Multi-modal data analysis in intelligent medicine

(5) AI in E-Commerce

  1. Applications of AI in E-commerce

  2. Customer-centric search and recommendation

  3. Intelligent logistics

  4. AI assistant

(6) How will AI change our lives?

  1. What AI can and can’t do

  2. The development trend of AI (especially in E-Commerce)

  3. Discussion

Tentative Content arrangement

| E-Commerce

(1) Introduction to digital marketing

  1. What is digital marketing?

  2. Digital marketing in China.

(2) Online Purchasing Decision Process

  1. Differences between traditional decision process and online purchasing;

  2. How digital environment influences consumer decision making.

(3) Mobile Commerce

  1. Characteristics of mobile commerce;

  2. How to choose points of communication;

  3. How to budget.

(4) Social Marketing

  1. Case: Pin Duoduo.

(5) Branding

  1. Branding in a hyperconnected world.

Lecturer information

Mr. Le Zhang (Adam)

Mr. Le Zhang (Adam) is currently the Vice president and Professor of the Department of Computer Science, Sichuan University. He has long been engaged in research work in the fields of bioinformatics, numerical analysis, high performance computing and data mining. Previously, he has worked at the Bell Lab (Chicago) & Lucent (China) Ltd, Harvard-MIT (HST) Athinoula A. Martinos Center, Michigan Tech University, University of Rochester in America and Southwest University in China.

He holds a Ph.D. in Computational analysis and modeling from Louisiana Tech University, and had his postdoctoral training at Harvard Medical School from May 2005 to Aug 2008, research in the fields of Mathematical and computational systems biology etc.

He has received a lot of research awards and funding’s such as Chinese national key research grant, Chinese one thousand youth plan, Chinese National Science Foundation,Excellent research award of Mathematical sciences of Michigan Tech University etc.

Ms. Yuanyuan Chen

Yuanyuan Chen received her BA in pattern recognition and intelligent systems from Shanghai Jiaotong University in 2007, and then she became a lecturer for teaching and research in the Department of Computer Science at Sichuan University. She received her PhD in Machine intelligence from Sichuan University in 2015. Currently, she is an associate professor and master supervisor of Sichuan University.

Yuanyuan Chen is a director of Sichuan artificial intelligence society. Her research chiefly focuses on artificial intelligence. She has always been dedicated to the research of the theory and applications of neural networks and medical image analysis. She has published more than 20 journal articles in this field.

Ms. Fei Jin

Ms. Fei Jin is an Associate Professor at Business School at Sichuan University. She received her Ph.D. in marketing from Peking University in 2019. Her research interests fall within the area of social media, AI and decision making. She combines laboratory and field experiments as well as secondary data analysis to study consumers’ decision-making processes.

Class Schedule

Date: 19, 20, 26, 27 December 2020, 2 & 3 January 2021
Time: Saturday & Sunday (8.00pm to 10.30pm)

Organized by:

Embassy of the People's Republic of China in Malaysia
Sichuan University
Malaysia Youth Council (MBM)
Eight Major Chinese Youth-based Organisations (EMCO)
Malaysian Young Graduates Association (GRADUAN)