Data Science + Follow Followed

This Course aims at guiding students to describing and modelling non-determinative iphenomenons mathematically, and provides chances for students to practice Set Theory,Calculus and Advanced Algebra.

Mathematical Statitics is a basic course with wide application, it mainly focuses on the analysis of randon sample and other data set, including how to effectively collect data, parameter estimation , hypothesis testing, linear model and statistical design. The purpose is to let the students to understand elementary ststistica concepts and ideas, to study the most commonly used statistical methods and to solve some practical problems, and to establish the way of statistical thinking.

C++ is a low-level language with modern programming ideas. Maybe you have to learn other programming languages, but C + + allows you to better understand the computing machine. Creating more complex programs would need that you would have to have direct access over how memory is used. Pointers, for instance is something that you cannot utilize in other high level languages. If you are really interested about serious programming, C++ should be your main priority.

Understand principle and theory of Data Structures and Algorithms, able to design and implement fundamental data structures and algorithms.
Covers programming, data structures, algorithms.
Topics include the organization and implementation of fundamental data structures such as list, binary tree, tree and forest, and graph; sorting and searching; data abstraction and problem solving.

The content of the course consists of polynomials, linear spaces and linear transformations. This course will train the students with mathematical thinkings and the preliminary ability for solving practical problems.