Courses tagged with "Beginner" (75)

Learn core distributed computing concepts that underlie today’s and tomorrow’s cloud computing systems.

Learn core distributed computing concepts that underlie today’s and tomorrow’s cloud computing systems.

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.

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.

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.

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.

Modéliser un problème, concevoir un algorithme de résolution et en proposer une implémentation correcte. Du problème à sa solution, ce cours combine approches pragmatique, pratique et théorique de l'informatique.

Let’s make history together - again! 让我们再一次创造历史！

Learn about the inner workings of cryptographic primitives and how to apply this knowledge in real-world applications!

Learn about the inner workings of cryptographic primitives and protocols and how to apply this knowledge in real-world applications.

Learn about the ten domains of cybersecurity through the lens of subject area experts from companies such as Coca Cola, SAP, and Macy's.

本课程的目的有二：其一，学知识，向大家传授关于C程序设计语言的基本知识；其二，练技能，培养使用C语言编写计算机程序解决实际问题的能力。通过本课程的训练，我们希望大家能够理解“结构化程序设计的基本思想”，掌握“C程序设计的基本技巧”，养成“良好的编程习惯和编程风格”，编写出“真正具有生命力的计算机程序”。 完成本课程，表明同学们已经掌握了“C程序设计的基本技能”，并具有“合乎规范的编程习惯”。

Learn how to make effective decisions about your future career and how to take control of your professional development by honing your critical thinking and employability skills. Suitable for anyone undertaking some form of study, regardless of academic discipline, interests or employment background.

This course begins a series of classes illustrating the power of computing in modern biology. Please join us on the frontier of bioinformatics to look for hidden messages in DNA without ever needing to put on a lab coat. After warming up our algorithmic muscles, we will learn how to apply popular bioinformatics software tools to real experimental datasets.

In this class, we will compare DNA from an individual against a reference human genome to find potentially disease-causing mutations. We will also learn how to identify the function of a protein even if it has been bombarded by so many mutations compared to similar proteins with known functions that it has become barely recognizable.

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.

The course covers the basics: representing games and strategies, the extensive form (which computer scientists call game trees), repeated and stochastic games, coalitional games, and Bayesian games (modeling things like auctions).

This advanced course considers how to design interactions between agents in order to achieve good social outcomes. Three main topics are covered: social choice theory (i.e., collective decision making), mechanism design, and auctions.

Learn about General Game Playing (GGP) and develop GGP programs capable of competing against humans and other programs in GGP competitions .

Biologists still cannot read the nucleotides of an entire genome as you would read a book from beginning to end. However, they can read short pieces of DNA. In this course, we will see how graph theory can be used to assemble genomes from these short pieces. We will further learn about brute force algorithms and apply them to sequencing mini-proteins called antibiotics. Finally, you will learn how to apply popular bioinformatics software tools to sequence the genome of a deadly Staphylococcus bacterium.