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Master’s Program in Intelligent Computing and Application

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This program is mainly taught in Chinese.

 

Graduation Requirements

 

To graduate with a master’s degree, in addition to the complete a thesis, a minimum of 30 credits must be earned in approved courses.

Required Courses

 

Research Methodology (I) & (II)  (First year of master’s program: 1/1 credits)

Basic skills of writing research papers/thesis and selecting research topics will be delivered in class. Students will have a short presentation to show their direction of thesis writing. The instructor will invite domestic/international scholars to present their work upon demand.

 

Artificial Intelligence (Fall semester in the first year of master’s program: 3 credits)

This course will give a brief history of development of Artificial Intelligence (AI). We will cover basic principles and methods of AI, including machine learning, deep learning, data science, natural language processing, and computer vision and their applications.

Data Science (Spring semester in the first year of master’s program: 3 credits)

Data science spans multiple fields, including statistics, scientific method, artificial intelligence (AI), and data analysis, with the aim of discovering value from data. Data scientists analyze data collected from the web, smartphones, customers, sensors, and other sources to gain actionable insights.

This course is based on machine learning and runs through the entire field of data science, allowing students to experience the implementation of a complete machine learning process.

 

Thesis (I) & (II)  (Second year of master’s program: 0/0 credits)

By selecting a good topic for graduate students research and transforming an idea to reality, we try to organize the paper and the thesis.

Elective Courses

There are many elective courses, including multiple professional courses of C&C area, such as Computer Vision, Internet Cryptography, Web-based Software Engineering, Ubiquitous Computing, Wireless Sensor Network, Personal Communication, Information Indexing and Retrieving in The Web, Grid Computing, Network Security, Embedded System, Mobile Computing, Digital Signal Processing, Multimedia Network Applications, and so on.

 

More Course Details

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