《Fundamentals of Big Data Technology》Syllabus

Course Number:           2110030806

Course Name:               Fundamentals of Big Data Technology

Instructors:                    Li Dongyang

Required Text:              Song Tian, Li Xin. Fundamentals of Python Programming (2nd Edition). Beijing: Higher Education Press, 2017.

Course Description:      This course is an elective for marketing majors, aiming to provide students with a comprehensive set of Python programming methods on the basis of database applications. The course covers fundamental and professional knowledge necessary for processing and analyzing big data. Key topics include data types, program control structures, functions and code reuse, data formatting, scientific computing and visualization, data processing and mining, web scraping, and automation, forming the theoretical framework and operational skills for big data technology courses. Through the principles and methods of big data, students are expected to discover and grasp the essence and patterns hidden behind complex economic and social phenomena.

                                                                                                   Credits/Teaching Hours

Course Content Summary:                                               (3 credits / 48 teaching hours)

Chapter 1: Basic Programming Methods                                           4 Teaching Hours

         Section 1 Overview of Programming Languages and Python Languages

        Section 2 Configuration of Python Language Development Environment

         Section 3 Basic Methods of Programming

Chapter 2 Python Program Instance Analysis                                    4 Teaching Hours

         Section 1: Analysis of Syntax Elements of Python Programs

         Section 2 Analysis of Syntax Elements of the Turtle Library

Chapter III: Basic Types of Data                                                        6 Teaching Hours

         Section 1 Overview of data types and their classification

         Section 2 Numeric Operations

         Section 3 Use of the Math Library

         Section 4 Types of Strings and Their Operations

         Section 5 Formatting of Strings

Chapter 4 Control Structure of Procedures                                        8 Teaching Hours

         Section 1 Basic Structure of the Procedure

         Section 2 Several common structures of the program

         Section 3 Use of the Random Library

         Section 4 Exception Handling of Programs

Chapter 5 Function and Code Reuse                                                  4 Teaching Hours

         Section 1 Definition of Functions and Their Invocation

         Section 2 Parameter Passing of Functions

         Section 3 Use of the Dateime Library

         Section 4 Modular Design and Recursion of Functions

         Section 5 Python's Built-in Functions

Chapter 6 File and Data Formatting                          4 Teaching Hours

Section 1 Basic Operations of Documents

Section 2 Basic Use of PIL Library

Section 3 Formatting and Processing of Low-Dimensional Data

Chapter 7 Programming Methodology                        6 Teaching Hours

Section 1 Programming Thinking and Methods

Section 2 Using the PyInstaller Library

Section 3 Computing Ecology and Module Programming

Section 4 PIP Tool Installation

Chapter 8 Scientific Computing and Visualization              6 Teaching Hours

Section 1 Use of the numpy library

Section 2 Using the matplotlib library

Chapter 9 Reptiles                                       6 Teaching Hours

Section 1 Overview of the requests library

Section 2: Analysis of crawler cases

               Total (Teaching Hours)                                                                  48  

Summary of UG CPC Topics Covered in this Course:                   (48Teaching hours)