Computer Science

This course examines the design, the architecture and the development of web applications using technologies currently popular in the marketplace including Java and . NET environments. There are three key themes examined in the unit: Presentation layer, Persistence layer, and Interoperability. The course will examine practical technologies such as JSP and Servlets, the model-view-controller (MVC) architecture, database programming with ADO. NET and JDBC, advanced persistence using ORM, XML for interoperability, and XML-based SOAP services and Ajax, in support of the theoretical themes identified. 

This class solves problems by implementing sensors, algorithms, and actions. The process of solving problems (system proposal, design, implementation, evaluation, discussion, issue derivation and correction, implementation of final results) is carried out in stages through the project, and the systematic problem-solving process is learned through communication between team members. 

This course covers the basic theories and techniques for matrix computations and linear algebra with a focus on topics including systems of equations, vector spaces, determinants, eigenvalues, QR decomposition, and least squares.

This course examines search methods; knowledge representation using logic and probability; planning and decision making under uncertainty; and machine learning.

This course offers a study of computer structures. Topics include: input/output, processor design; cache memory; virtual memory; IEEE754.

This course explores software project development. Topics include: functional design of the project; prototyping; user analysis; Android Studio; teamwork tools like Github and Trello; app development for Android.

Informatization is a historical process that makes full use of information technology, develops and utilizes information resources, promotes information exchange and knowledge sharing, and promotes the development and transformation of human society. This course strives to integrate the concepts, characteristics and development history of informatization into classroom teaching, cultivate students' informatization thinking, inspire inspiration for informatization innovation, promote students' thinking and practice, and develop innovative spirit, entrepreneurial awareness and innovation and entrepreneurship capabilities.

Information thinking is creative thinking that uses an information perspective to understand, analyze, and process things. It is a way of thinking that examines things from the aspects of information collection, transmission, storage, processing, sharing, and utilization. Informatization includes not only information technology means, but also changes in management and services. This course first introduces the basic concepts and basic characteristics of information thinking, then introduces the design and implementation of information systems and the changes they bring to management and services, and organizes students to think and practice the information applications around them inside and outside the classroom.

The course aims to make students understand the development history of database technology and the current status of database technology and products in China. It familiarizes students with the architecture and basic concepts of database systems, and provides them with the basic principles and methods of database design. Students are expected to have the ability to independently design database schemas and develop database applications.

Basic Content Overview: The course covers the following topics:

1. Development history of database technology and typical database products.
2. Relational model and database query language, including the basic structure of a relational database, relational algebra, tuple relational calculus, domain relational calculus, and the basic syntax and common usage of SQL.
3. Basictheoriesandmethodsofdatabasedesign,includingtheentity-relationship model, database design normalization theory, functional dependencies, and their applications.
4. Practical issues in database design, including design case analysis, database  optimization, storage structure and indexing, and transaction management.