Courses tagged with "Beginner" (75)

Learn how to model social and economic networks and their impact on human behavior. How do networks form, why do they exhibit certain patterns, and how does their structure impact diffusion, learning, and other behaviors? We will bring together models and techniques from economics, sociology, math, physics, statistics and computer science to answer these questions.

In this course you will learn a whole lot of modern physics (classical and quantum) from basic computer programs that you will download, generalize, or write from scratch, discuss, and then hand in. Join in if you are curious (but not necessarily knowledgeable) about algorithms, and about the deep insights into science that you can obtain by the algorithmic approach.

The "Fundamentals of Computing" series concludes with a two-week course that reviews the series material and whose primary assessment is a cumulative "capstone" exam.

This cross-disciplinary course deals with the undetermined, the unpredictable- or what appears to be such. Learn about the usefulness of randomness in communication and computation, the intrinsic randomness of quantum phenomena, the unpredictability of the weather, and the implications of the neural activity of the brain on our "free will".

This course provides a brief introduction to game theory. Our main goal is to understand the basic ideas behind the key concepts in game theory, such as equilibrium, rationality, and cooperation. A number of applications in economics, politics, and biology will be discussed.

¿Alguna vez pensaste en crear tus propios juegos de computadora, pero no tenías idea cómo hacerlo o por dónde comenzar? Este curso te enseñará a programar utilizando Scratch, un lenguaje de programación visual muy fácil de usar, y más importante aún, aprenderás los principios fundamentales de la computación para que comiences a pensar como ingeniero/a de software.

Курс «Введение в биоинформатику» адресован тем, кто хочет получить расширенное представление о том, что такое биоинформатика и как она помогает биологам и медикам в их работе. The course is aimed at those who would like to have a better idea of what bioinformatics is and how it helps biologists and medical scientists in research and clinical work.

学习运用计算思维分析社会学、经济学问题的方法，加深对某些生活现象的理解，体会计算与社会科学的互动。 Learn to analyze and reason about problems in social sciences with computational thinking, appreciate interactions between computing and social sciences, as well as gain deeper understanding of some common phenomena in life and society

“数据结构与算法”是计算机学科中的核心基础课程。课程的主要目标培养学生较全面地理解基本数据结构的概念和经典算法的思想及各种实现方法，掌握数据结构和算法的设计分析技术。根据所求解问题的性质选择合理的数据结构并对时间空间复杂性进行必要的控制，提高程序设计的质量。使得学生在将来的学习、研究和工作中，具备设计和实现高效的数据结构和算法的能力。

这门课程将帮助学生学习如何运用基础的数据结构和相关算法解决实际应用问题。 This course will help students learn how to use basic data structures and algorithms solving real-world problems.

本课程面向非计算机软件专业本科生及相关IT行业从业人士，介绍计算机科学和信息技术理论基础的概念和思想方法。

本课程为面向中学生的零基础大学先修课。课程内容为依托C++讲授C语言程序设计,即讲授C++语言中除面向对象特性以外的部分（与C语言重叠的部分）、C++ STL中最常用的用于排序和查找的算法和容器，以及简单排序，顺序查找、二分、递归初步等基础编程思想。

学习面对实际问题如何设计算法与分析算法。

主要介绍高级语言程序中的数据类型及其运算、语句和过程调用等的机器级表示、转换与链接。

这门课程将帮助学生学习如何运用高级的数据结构和相关算法解决复杂的应用问题。 This course will help students learn how to apply advance data structures and algorithms solving complex real-world problems.