The Outline of《Artificial Intelligence and Big Data》

1.Basic Teaching Information

Course Code： 2333990011364		Course Title：Artificial Intelligence and Big Data
Faculty：SchoolofElectronicInformation		Targeted Student：Freshman
Course Credit：1		Lecture Hours：16 （consisted of __16___ theoretical hours and __0___ practical hours）
Course Leader：	Name：Sebastiano Vascon		E-mail：sebastiano.vascon@unive.it
	Office：		Mobile：
Course Staff：	Name：Haijian Zhang		E-mail：haijian.zhang@whu.edu.cn
	Office：606		Mobile：
Course Type：一般通识课程General Course
RelatedPreview Courses：

2.Course Introduction

Artificial intelligence (AI) requires a large amount of data as the basis for "thinking" and "decision-making". Big data also requires AI technology for data value operations. One of the main channels for data application is the artificial intelligence product, i.e., the agent. The greater the amount of data provided to the agent, the better the operation effect of the agent will be. The agent needs a lot of data for "training" and "validation", so as to ensure the reliability and stability of operation. This course introduces the basic theories, methods and applications of artificial intelligence and big data.

3.The Allocation of Content and Lecture Hours

Content	Lecture Hours
Introduction	2
Data Preprocessing	2
Supervised Learning	4
Unsupervised Learning	2
AI/Deep Learning	6

4.Assessment Methods and Marking Criterion

2 regular homework(40%) + 1 course report (60%)

5.Textbooks and References

[1]Anand Deshpande,Manish Kumar,《Artificial Intelligence for Big Data: Complete guide to automating Big Data solutions using Artificial Intelligence techniques》, Packt Publishing, 2018.

[2]Fernando Iafrate,《Artificial Intelligence and Big Data: The Birth of a New Intelligence》, Wiley, 2018.