Coursera

离散数学概论 Discrete Mathematics Generality (Coursera)

Offered by Peking University,
离散数学概论 Discrete Mathematics Generality (Coursera)

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。

Class Deals by MOOC List - Click here and see Coursera's Active Discounts, Deals, and Promo Codes.

离散数学是计算机科学的基础理论，离散结构的基础知识和逻辑思维的形式化是信息技术类学生的基本功，离散数学的基本概念是理科专业学生进行信息类课程学习的重要基础。

本课程介绍计算机科学和信息技术理论基础的概念和思想方法，介绍数理逻辑、集合论、图论、抽象代数和形式语言与自动机等各部分的基本概念，介绍离散数学基本概念和空间信息技术之间的联系与结合，培养学生理解和掌握离散数学基本概念，采用形式化方法分析问题，并能自觉运用逻辑分析、结构层次分析和同构类比等思想方法解决问题的能力。

Go to Class
MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Related Courses

3D Interaction Design in Virtual Reality (Coursera) Coursera
University of London,Goldsmiths, University of London

3D Interaction Design in Virtual Reality (Coursera)

CS: Design & Product

This course will teach you about one of the most important aspects of VR, how you interact with a VR world. Virtual Reality is completely different from an on screen app or game. You are completely immersed in a VR world, so it doesn't make sense to interact only through buttons or menus. You will get the most out of VR if you can interact with the world just as you would with the real world: with your natural body movements.

Sep 14th 2026
4 Weeks
Computer Science Games Interaction
Details
Reviews & Metrics for Software Improvements (Coursera) Coursera
University of Alberta

Reviews & Metrics for Software Improvements (Coursera)

CS: Design & Product

This course covers techniques for monitoring your projects in order to align client needs, project plans, and software production. It focuses on metrics and reviews to track and improve project progress and software quality. What you will learn: apply techniques to measure and visualize project progress, integrate Agile review practices to increase project visibility; reflect on lessons learned in software projects through retrospective exercises; improve project and process quality through ongoing measurement

Sep 28th 2026
4 Weeks
Software Agile Project Management
Details
Algorithms, Part II (Coursera) Coursera
Princeton University

Algorithms, Part II (Coursera)

CS: Software Engineering CS: Theory

This course covers the essential information that every serious programmer needs to know about algorithms and data structures, with emphasis on applications and scientific performance analysis of Java implementations. Part I covers elementary data structures, sorting, and searching algorithms. Part II focuses on graph- and string-processing algorithms.

Sep 14th 2026
5-12 Weeks
Java Algorithms Data Structures
Details
Client Needs and Software Requirements (Coursera) Coursera
University of Alberta

Client Needs and Software Requirements (Coursera)

CS: Design & Product

This course covers practical techniques to elicit and express software requirements from client interactions. Upon successful completion of this course, you will be able to: Create clear requirements to drive effective software development; visualize client needs using low-fidelity prototypes; maximize the effectiveness of client interactions - adapt to changing product requirements.

Sep 28th 2026
4 Weeks
Computer Science Interaction Software Development
Details
Securing Digital Democracy (Coursera) Coursera
University of Michigan

Securing Digital Democracy (Coursera)

Security & Networking

In this course, you'll learn what every citizen should know about the security risks--and future potential — of electronic voting and Internet voting. We'll take a look at the past, present, and future of election technologies and explore the various spaces intersected by voting, including computer security, human factors, public policy, and more.

Sep 21st 2026
5-12 Weeks
Digital Security Operating Systems
Details
Operations Research (1): Models and Applications (Coursera) Coursera
National Taiwan University

Operations Research (1): Models and Applications (Coursera)

Computer Science

Operations Research (OR) is a field in which people use mathematical and engineering methods to study optimization problems in Business and Management, Economics, Computer Science, Civil Engineering, Industrial Engineering, etc. This course introduces frameworks and ideas about various types of optimization problems in the business world. In particular, we focus on how to formulate real business problems into mathematical models that can be solved by computers.

Sep 28th 2026
5-12 Weeks
Computer Science Linear Programming Business Analytics
Details
Programming with Scratch (Coursera) Coursera
The Hong Kong University of Science and Technology - HKUST

Programming with Scratch (Coursera)

Computer Science

Learning coding is not only about understanding the programming language being used, but also developing important computational thinking skills, which are useful for problem solving across many disciplinary areas. In this course, students will learn basic programming skills by creating interactive storybooks, animations, and games with Scratch, which is a block-based visual programming language for anyone new to coding.

Sep 28th 2026
5-12 Weeks
Programming Software Development
Details
Approximation Algorithms Part II (Coursera) Coursera
École normale supérieure

Approximation Algorithms Part II (Coursera)

CS: Software Engineering CS: Programming

This is the continuation of Approximation algorithms, Part 1. Here you will learn linear programming duality applied to the design of some approximation algorithms, and semidefinite programming applied to Maxcut. By taking the two parts of this course, you will be exposed to a range of problems at the foundations of theoretical computer science, and to powerful design and analysis techniques.

Sep 28th 2026
4 Weeks
Algorithms Computer Science Linear Programming
Details
Problem Solving, Python Programming, and Video Games (Coursera) Coursera
University of Alberta

Problem Solving, Python Programming, and Video Games (Coursera)

CS: Programming

This course is an introduction to computer science and programming in Python. Important computer science concepts such as problem solving (computational thinking), problem decomposition, algorithms, abstraction, and software quality are emphasized throughout. The Python programming language and video games are used to demonstrate computer science concepts in a concrete and fun manner. However, a learner can take the knowledge and skills from this course and apply them to non-game problems, other programming languages, and other computer science courses.

Sep 21st 2026
5-12 Weeks
Programming Python Algorithms
Details
Fibonacci Numbers and the Golden Ratio (Coursera) Coursera
The Hong Kong University of Science and Technology - HKUST

Fibonacci Numbers and the Golden Ratio (Coursera)

Sci: Mathematics

Learn the mathematics behind the Fibonacci numbers, the golden ratio, and how they are related. These topics are not usually taught in a typical math curriculum, yet contain many fascinating results that are still accessible to an advanced high school student. The course culminates in an explanation of why the Fibonacci numbers appear unexpectedly in nature, such as the number of spirals in the head of a sunflower.

Sep 28th 2026
3 Weeks
Math Fractions Elementary Grades
Details