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

Foundations of Objective-C App Development (Coursera) Coursera
University of California, Irvine

Foundations of Objective-C App Development (Coursera)

CS: Software Engineering CS: Programming

An introduction to the Objective-C programming language. This will prepare you for more extensive iOS app development and build a foundation for advanced iOS development topics. Objective-C programming requires a Mac laptop or desktop computer. An iOS device is optional if the learner is willing to working exclusively with the simulator. Some learners have been able to work with an OS X virtual machine on Windows, but explaining how to do that is beyond the scope of this course.

Jun 8th 2026
4 Weeks
Mobile Objective C iOS
Details
Networking and Security in iOS Applications (Coursera) Coursera
University of California, Irvine

Networking and Security in iOS Applications (Coursera)

Security & Networking

You will learn to extend your knowledge of making iOS apps so that they can securely interact with web services and receive push notifications. You'll learn how to store data securely on a device using Core Data. You’ll also learn to securely deploy apps to the App Store and beta users over-the-air. The format of the course is through a series of code tutorials. We will walk you through the creation of several apps that you can keep as a personal app toolbox. When you make your own apps after this course, you can bring in these capabilities as needed. When necessary we pop out of the code tutorials to talk about concepts at a higher level so that what you are programming makes sense.

Jun 8th 2026
4 Weeks
Security JSON Networks
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.

Jun 8th 2026
4 Weeks
Algorithms Computer Science Linear Programming
Details
Python Basic Structures: Lists, Strings, and Files (Coursera) Coursera
Codio

Python Basic Structures: Lists, Strings, and Files (Coursera)

CS: Programming Computer Science

Code and run your first python program in minutes without installing anything! This course is designed for learners with limited coding experience, providing a solid foundation of not just python, but core Computer Science topics that can be transferred to other languages. The modules in this course cover lists, strings, and files. Completion of Python Basics: Selection and Iteration before taking this course is recommended.

Jun 8th 2026
3 Weeks
Python Computer Science Software Development
Details
Concurrent Programming in Java (Coursera) Coursera
Rice University

Concurrent Programming in Java (Coursera)

CS: Software Engineering CS: Programming

This course teaches learners (industry professionals and students) the fundamental concepts of concurrent programming in the context of Java 8. Concurrent programming enables developers to efficiently and correctly mediate the use of shared resources in parallel programs. By the end of this course, you will learn how to use basic concurrency constructs in Java such as threads, locks, critical sections, atomic variables, isolation, actors, optimistic concurrency and concurrent collections, as well as their theoretical foundations (e.g., progress guarantees, deadlock, livelock, starvation, linearizability).

Jun 8th 2026
4 Weeks
Programming Java Computer Science
Details
Agile Planning for Software Products (Coursera) Coursera
University of Alberta

Agile Planning for Software Products (Coursera)

CS: Design & Product

This course covers the techniques required to break down and map requirements into plans that will ultimately drive software production. Upon successful completion of this course, you will be able to: create effective plans for software development; map user requirements to developer tasks; assess and plan for project risks; apply velocity-driven planning techniques; generate work estimates for software products.

Jun 8th 2026
4 Weeks
Risk Agile PERT
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.

Jun 8th 2026
4 Weeks
Computer Science Interaction Software Development
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.

Jun 8th 2026
5-12 Weeks
Computer Science Linear Programming Business Analytics
Details
3D Models for Virtual Reality (Coursera) Coursera
University of London,Goldsmiths, University of London

3D Models for Virtual Reality (Coursera)

CS: Design & Product

This course will begin your journey to creating Virtual Reality experiences. A Virtual Reality experience is a new world that you step into and are entirely immersed in. Creating a VR experience means creating that world and all the objects in it. In this course you will learn the basics of 3D graphics: how we create objects and how to lay them out to create an environment. You will learn techniques like materials and texturing that make your objects appear realistic. You will also learn about audio techniques to ensure that your experiences sound great as well as looking great.

Jun 8th 2026
4 Weeks
3D Graphics Computer Science Unity3D
Details
Delivery Problem (Coursera) Coursera
University of California, San Diego,Higher School of Economics - HSE University

Delivery Problem (Coursera)

CS: Software Engineering CS: Theory

We’ll implement (in Python) together efficient programs for a problem needed by delivery companies all over the world millions times per day — the travelling salesman problem. The goal in this problem is to visit all the given places as quickly as possible. How to find an optimal solution to this problem quickly? We still don’t have provably efficient algorithms for this difficult computational problem and this is the essence of the P versus NP problem, the most important open question in Computer Science.

Jun 8th 2026
3 Weeks
Probability Combinatorics Algorithms
Details