Course No.：314011020

Course Title： Big Data Analysis and Privacy Protection

Credit：2.0                        

Teaching hours：32

Assessment：Experiment + course design

Description:

Big data analysis is a hot method at present. This course mainly includes two aspects: one is how to understand the real world hidden behind the data by analyzing the massive data; the other is to explain the challenges brought by the big data to the network security. This course analyzes all stages of the data analysis life cycle to explain the relevant methods and technologies used to discover, analyze, visualize and represent data. This course introduces the mainstream core technologies of big data analysis, basic data analysis using Python language combined with deep learning and other methods, as well as advanced analysis theories and methods. It mainly involves big data clustering analysis, data regression analysis, data classification analysis, shallow neural network method, convolution neural network model, cyclic neural network model, lenet5, VGG, RESNET, etc. This course uses the latest and most popular techniques and tools for advanced data analysis.