Courses tagged with "Computer Science" (735)

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Starts : 2015-11-02
No votes
Coursera Free Closed [?] Computer Sciences English Computer Science Systems & Security

The network is what makes the cloud. The cloud’s key capabilities—the ability to share infrastructure, the ability to move and scale applications across servers, massive parallelism, virtualization, and worldwide connectivity—are all rooted in the network. Learn how it all works!

Starts : 2015-04-27
No votes
Coursera Free Closed [?] Computer Sciences English Computer Science Information Software Engineering Statistics and Data Analysis Tech & Design

Learn how to take scattered data and organize it into groups for use in many applications, such as market analysis and biomedical data analysis, or as a pre-processing step for many data mining tasks.

Starts : 2015-03-09
No votes
Coursera Free Closed [?] Computer Sciences English Computer Science Computer Science Software Engineering Theory

Have you ever wished you knew how to program, but had no idea where to start from? This course will teach you how to program in Scratch, an easy to use visual programming language. More importantly, it will introduce you to the fundamental principles of computing and it will help you think like a software engineer.

Starts : 2015-02-02
304 votes
Coursera Free Popular Computer Sciences English Artificial Intelligence Computer Science Computer Science Mathematics Statistics and Data Analysis Theory

Learn the concepts and methods of linear algebra, and how to use them to think about computational problems arising in computer science. Coursework includes building on the concepts to write small programs and run them on real data.

Starts : 2017-03-02
No votes
edX Free Closed [?] English Computer Science EdX Math TsinghuaX

Our lives are full of combinations. Combinatorial mathematics is just the science to deal with combinations of discrete items. As an ancient field, the history of combinatorial mathematics can be traced back over 4000 years to the age of the Great Yu in ancient China. Today, combinatorial mathematics is regarded as the basis of computer science since the algorithms in programming heavily rely on the analysis of the discrete elements.

Instead of relying on the traditional mathematical "theorem - proof" format, this course demonstrates various principles in an intuitive manner with ancient stories, the scenes of movies and even a magic show. What you’ll learn:

  • The counting principles based on the basic operations “+”, “-”, “*”, “/”; 
  • Generating functions
  • Recurrent number serials such as Fibonacci number, Catalan number, and more
  • Pigeon hole principles
  • Inclusion and exclusion principles
  • Polya counting based on group theory

This course is based on a highly regarded on-campus Tsinghua class called Combinatorics, and is ideal for students who are interested in mathematics or computer science. Enroll today and learn the mathematical theory needed to solve the real-world problems!

 

我们生活的方方面面都充满着组合,而组合数学正是研究离散事物的学科。作为一个具有悠久历史的学科,组合数学的发展可以追溯到4000年前的大禹时代。而如今组合数学随着计算机学科的发展开启了新的篇章,由于程序算法的分析和实现正是基于对离散对象的分析,因此组合数学已经发展成为计算机学科的基础理论。

而本课程一改以往数学教学的“定理-证明”模式,引领大家由浅入深地逐步探索知识的源泉,这里有古代故事,有电影片段,甚至用魔术来演绎数学概念。而这些形式就是为了引领大家去感受数学的美。具体的教学内容包括:

  • 基于四则运算的计数法则;
  • 母函数;
  • 递推序列,如斐波那契数,卡特兰数等;
  • 鸽巢原理;
  • 容斥原理;
  • 基于群论的波利亚定理。

本课程的内容和大纲主要基于清华大学精品课《组合数学》,通过本课程的学习,学习者可以深入了解计数的抽象理论和具体方法,从而深入理解组合数学对计算机理论发展的推动作用。。

 


FAQ

I don’t speak Chinese, can I learn the course?

All the materials are in English. Though the original video was recorded in Chinese, the course team record the corresponding dubbing in English. All the audio and subtitles are processed to fit the English dubbing as much as possible, so that you can enjoy this wonderful course in English.

What are the textbook and the reference books for this course?

There is no textbook requirement for this course. The handouts distributed every week are critical. The following books are references

  • Richard A. Brualdi; Introductory Combinatorics (5th edition), Pearson, 2009
  • J.H.van Lint and R.M. Wilson; A course in Combinatorics, Cambridge University Press, 2001
  • 卢开澄,《组合数学》第四版,清华大学出版社

What is the grading breakdown?

  • 70% quizzes and exercises
  • 30% final exam

How can I get the certificate?

If your final score is no less than 60.

Do I need to know how to program to learn this class?

Not necessary. This course is a math course which is based on fundamental theory. But to help the students to have the intuitive feel of the effects of the theory, we also provide a code lib that you can compare different implementations by running different programs.    

Starts : 2015-12-07
No votes
Coursera Free Closed [?] English Biology & Life Sciences Computer Science Health & Society Statistics and Data Analysis Theory

Introduces to the commands that you need to manage and analyze directories, files, and large sets of genomic data. This is the fourth course in the Genomic Big Data Science Specialization from Johns Hopkins University.

Starts : 2016-03-09
No votes
Coursera Free Closed [?] English Biology & Life Sciences Computer Science Computer Science Mathematics Software Engineering Theory

After sequencing genomes, we would like to compare them. We will see that dynamic programming is a powerful algorithmic tool when we compare two genes (i.e., short sequences of DNA) or two proteins. When we "zoom out" to compare entire genomes, we will employ combinatorial algorithms.

Starts : 2014-03-17
123 votes
Coursera Free Computer Sciences English Computer Science Computer Science Software Engineering Systems & Security

This course will discuss the major ideas used today in the implementation of programming language compilers. You will learn how a program written in a high-level language designed for humans is systematically translated into a program written in low-level assembly more suited to machines!

Starts : 2017-07-01
No votes
edX Free Closed [?] English Business & Management Computer Science EdX Microsoft

As organizational data stored in email and documents continues to grow, Office 365 makes it easy to find relevant information as you need it.

In this course, you will learn how to plan, implement and manage eDiscovery in your organization. This course covers all necessary steps to effectively plan and manage discovery requests and conduct an Advanced eDiscovery analysis.

This is the first in a series of courses concerning Compliance in Office 365.

Starts : 2017-07-01
No votes
edX Free Closed [?] English Business & Management Computer Science EdX Microsoft

In Compliance in Office 365®: Data Governance, you will learn how to plan, implement, and manage the archiving and data retention features of Office 365 in your organization. As organizational data stored in email and documents continues to grow, Office 365 makes it easy to control the information that you want to keep and control the flow of information out of your organization. This course covers all the information you need to effectively plan and manage data retention and data leakage.

This is the second in a series of courses concerning Compliance in Office 365. By completing this course, you will gain an understanding of the archiving and data retention capabilities of Office 365 and data leakage prevention.

Starts : 2016-09-06
No votes
edX Free Closed [?] English Computer Science EdX Electronics Engineering MITx

Digital systems are at the heart of the information age in which we live, allowing us to store, communicate and manipulate information quickly and reliably. This computer science course is a bottom-up exploration of the abstractions, principles, and techniques used in the design of digital and computer systems. If you have a rudimentary knowledge of electricity and some exposure to programming, roll up your sleeves, join in and design a computer system!

This is Part 1 of a 3-part series on digital systems, teaching the fundamentals of digital circuit design and is based on a course offered by the MIT Department of Electrical Engineering and Computer Science. Topics include digital encoding of information, principles of digital signaling; combinational and sequential logic, implementation in CMOS, useful canonical forms, synthesis; latency, throughput and pipelining.

Using your browser for design entry and simulation, you’ll get to design and debug circuits at both the transistor- and gate-level, culminating in the creation of a 32-bit arithmetic and logic unit.

 

Learner Testimonial

“This course is like a dream coming true...as kid (10 - 12 years) I was already building circuits and reading books about Digital Circuits. Due to all kind of circumstances I never got to pursue a study and career in electronics ...now I am almost 50... I see this as a second chance. Thank you very very much for this awesome course. One of the best, (if not the best) MOOCs I've ever taken.” -- Previous Student

Starts : 2016-11-29
No votes
edX Free Closed [?] English Computer Science EdX Electronics Engineering MITx

Digital systems are at the heart of the information age in which we live, allowing us to store, communicate and manipulate information quickly and reliably. This computer science course is a bottom-up exploration of the abstractions, principles, and techniques used in the design of digital and computer systems. If you have a rudimentary knowledge of electricity and some exposure to programming, roll up your sleeves, join in and design a computer system!

This is Part 2 of a 3-part series on digital systems, teaching the fundamentals of computer architecture and is based on a course offered by the MIT Department of Electrical Engineering and Computer Science. Topics include instruction set architectures and assembly language, stacks and procedures, 32-bit computer architecture, the memory hierarchy, and caches.

Using your browser for design entry and simulation, you’ll implement a 32-bit computer using our gate library and write assembly language programs to explore the hardware/software interface.

 

Learner Testimonial

“If you look back, we've done sooooo much: assembly programming, stack crawling (detective work), building a 32-bit computer, for crying out loud, and also learnt about caches as the cherry on top (which really helped me because I always had trouble understanding how temporary memory worked). And to top it off, they're promising us more exciting courses in the future.” -- Previous Student

Starts : 2017-02-28
No votes
edX Free Closed [?] English Computer Science EdX Electronics Engineering MITx

Digital systems are at the heart of the information age in which we live, allowing us to store, communicate and manipulate information quickly and reliably. This computer science course is a bottom-up exploration of the abstractions, principles, and techniques used in the design of digital and computer systems. If you have a rudimentary knowledge of electricity and some exposure to programming, roll up your sleeves, join in and design a computer system!

This is Part 3 of a 3-part series on digital systems, providing an introduction to the hardware/software interface and is based on a course offered by the MIT Department of Electrical Engineering and Computer Science. Topics include pipelined computers, virtual memories, implementation of a simple time-sharing operating system, interrupts and real-time, and techniques for parallel processing.

Using your browser for design entry and simulation, you’ll optimize your processor design from Part 2 for size and speed, and make additions to a simple time-sharing operating system.

 

Learner Testimonial

"Out of the many edX courses I have taken, the first two parts of 6.004x were clearly the best. I am looking forward to the third part.” -- Previous Student

Starts : 2014-09-12
324 votes
Coursera Free Popular Closed [?] Business English Artificial Intelligence Computer Science Economics & Finance

Find out how modern electronic markets work, why stock prices change in the ways they do, and how computation can help our understanding of them.  Build algorithms and visualizations to inform investing practice.

Starts : 2015-05-01
93 votes
Coursera Free Closed [?] Computer Sciences English Artificial Intelligence Biology & Life Sciences Computer Science Engineering Mathematics Medicine

Understanding how the brain works is one of the fundamental challenges in science today. This course will introduce you to basic computational techniques for analyzing, modeling, and understanding the behavior of cells and circuits in the brain. You do not need to have any prior background in neuroscience to take this course.

Starts : 2013-03-25
112 votes
Coursera Free Computer Sciences English Artificial Intelligence Computer Science Information Tech & Design

In this course you will learn about the basics of how computation has impacted the entire workflow of photography (i.e., from how images are captured, manipulated and collaborated on, and shared).

Starts : 2016-09-12
No votes
edX Free Closed [?] English Computer Science Data Analysis & Statistics EdX Engineering MITx

Probability and inference are used everywhere. For example, they help us figure out which of your emails are spam, what results to show you when you search on Google, how a self-driving car should navigate its environment, or even how a computer can beat the best Jeopardy and Go players! What do all of these examples have in common? They are all situations in which a computer program can carry out inferences in the face of uncertainty at a speed and accuracy that far exceed what we could do in our heads or on a piece of paper.

In this data analysis and computer programming course, you will learn the principles of probability and inference. We will put these mathematical concepts to work in code that solves problems people care about. You will learn about different data structures for storing probability distributions, such as probabilistic graphical models, and build efficient algorithms for reasoning with these data structures.

By the end of this course, you will know how to model real-world problems with probability, and how to use the resulting models for inference.

You don’t need to have prior experience in either probability or inference, but you should be comfortable with basic Python programming and calculus.

 

“I love that you can do so much with the material, from programming a robot to move in an unfamiliar environment, to segmenting foreground/background of an image, to classifying tweets on Twitter—all homework examples taken from the class!” – Previous Student in the residential version of this new online course.

Starts : 2017-09-08
No votes
edX Free Closed [?] English AdelaideX Computer Science Data Analysis & Statistics EdX

Computational thinking is an invaluable skill that can be used across every industry, as it allows you to formulate a problem and express a solution in such a way that a computer can effectively carry it out.

In this course, part of the Big Data MicroMasters program, you will learn how to apply computational thinking in data science. You will learn core computational thinking concepts including decomposition, pattern recognition, abstraction, and algorithmic thinking.

You will also learn about data representation and analysis and the processes of cleaning, presenting, and visualizing data. You will develop skills in data-driven problem design and algorithms for big data.

The course will also explain mathematical representations, probabilistic and statistical models, dimension reduction and Bayesian models.

You will use tools such as R, MOA and data processing libraries in associated language environments.

Starts : 2014-09-20
115 votes
Coursera Free Closed [?] Computer Sciences English Computer Science Engineering Systems & Security

In this course, you will learn to design the computer architecture of complex modern microprocessors.

Starts : 2017-07-25
No votes
edX Free Closed [?] English Computer Science EdX RITx

Digital forensics involves the investigation of computer-related crimes with the goal of obtaining evidence to be presented in a court of law.

In this course, you will learn the principles and techniques for digital forensics investigation and the spectrum of available computer forensics tools. You will learn about core forensics procedures to ensure court admissibility of evidence, as well as the legal and ethical implications. You will learn how to perform a forensic investigation on both Unix/Linux and Windows systems with different file systems. You will also be guided through forensic procedures and review and analyze forensics reports.

This offering is part of the RITx Cybersecurity MicroMasters Program that prepares students to enter and advance in the field of computing security.

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