Student Effort Hours: 

Approaches to Teaching and Learning:
Teaching method: In addition to the normal classroom multimedia teaching, the course should use teaching methods such as problem-solving study, project-based method.
1、Heuristic Method
To achieve our objectives of this course, we build up some small application scenario tasks in class, and then propose the solution idea, combining with questions and interacting with students, so that students understand the relationship between python and problem solution, and understand the logic of solution steps of applications.
2、Interdisciplinary Method
To complete this course, we build a set of analytical frameworks of the Global Value Chain Accounting System with the convergence of the international economic accounting, complex network theory, and statistical physics. We name it the Global Industrial Value Chain Network, which is used to trace the transfer of intermediate goods in the form of value stream among countries/regions and industrial sectors. By observing its evolution, we can figure out an optimal way to allocate the global production resources and improve the economies’ international competitiveness. In sum, we hope to provide a novel Econophysics perspective for students who want to master the knowledge of Physical Statistics and World Economics.
3、Project-Based Method
In this course, we design a complicated system – a simple trading system, including import data, visualization, building models for financial analysis - which is decomposed eight to ten steps to develop. Each step is used for each week, and correspond to some chapter objectives. This is helpful for students to understand how to accomplish a sophisticated task by a skill mix learned at this course.
Learning method: Since data science is a precise subject, students should be encouraged to read tutorials and examples, and then create program to understand the core concepts. Another core skills include how to experiment with changes and practice debugging. Hunting down and fixing errors existed in the program (for example, syntax errors, typing errors) is a major process in the software development cycle, so students need to get used to doing this early.
In addition, assisting in the establishment of the online teaching environment, the syllabus, teaching materials, courseware, and exercise library are provided to students at the first time, so that they can start self-study and extended learning.
 

Please see Student Jargon Buster for more information about remediation types and timing.