Courses tagged with "BabsonX" (147)

Get an overview of the data, questions, and tools that data analysts and data scientists work with. This is the first course in the Johns Hopkins Data Science Specialization.

Few people who “just Google it” to find an answer to their every question understand just what the company does (and why). Through this course, you'll join the minority that really gets it.

This course we will explore the foundations of software security. We will consider important software vulnerabilities and attacks that exploit them -- such as buffer overflows, SQL injection, and session hijacking -- and we will consider defenses that prevent or mitigate these attacks, including advanced testing and program analysis techniques. Importantly, we take a "build security in" mentality, considering techniques at each phase of the development cycle that can be used to strengthen the security of software systems.

This course focuses on how to design and build secure systems with a human-centric focus. We will look at basic principles of human-computer interaction, and apply these insights to the design of secure systems with the goal of developing security measures that respect human performance and their goals within a system.

Learn how to build and deploy modern web application architectures – applications that run over the Internet, in the "cloud," using a browser as the user interface.

Machine learning is the study that allows computers to adaptively improve their performance with experience accumulated from the data observed. The course teaches the most fundamental algorithmic, theoretical and practical tools that any user of machine learning needs to know. [機器學習旨在讓電腦能由資料中累積的經驗來自我進步。本課程將介紹各領域中的機器學習使用者都應該知道的基礎演算法、理論及實務工具。]

“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。

LaTeX (читается «латех») — научная издательская система. На этом курсе вы узнаете, как оформить ваши идеи в виде красивого, профессионально сверстанного текста или слайдов презентации. LaTeX ('lay-tech') is a desktop publishing system for academic publications. Learn how to put your research into professionally looking form of a printed text or presentation slides.

What makes bioinformatics education exciting is that people of a variety of education levels can get started quickly, with just a computer and internet access.

Are you interested in learning how to program (in Python) within a scientific setting? This course will cover algorithms for solving various biological problems along with a handful of programming challenges helping you implement these algorithms in Python. It offers a gentler-paced alternative to the first course in our Bioinformatics Specialization (Finding Hidden Messages in DNA).

This Capstone MOOC gives Signature Track students who passed all previous MOOCs in the MoCCA Specialization “with Distinction” an opportunity to integrate and demonstrate the knowledge they've acquired across the three earlier content area MOOCs.

¿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.

本課程教授BIM技術的基礎知識，並以貼近實務之工程案例為教學範例，教授BIM塑模之基礎觀念與操作邏輯，並讓學生能實際應用BIM工具於案例實作中。

本課程教授BIM技術應用的基本知識及發展潛力，重點放在如何應用BIM資訊模型於實務工程中，包括設計衝突之檢討、工程數量之估算、工程進度之管理等應用。

本課程有兩大課程目標： 1. 使同學了解如何以搜尋達成人工智慧 2. 使同學能將相關技術應用到自己的問題上

Learn various methods of analysis including: unsupervised clustering, gene-set enrichment analyses, Bayesian integration, network visualization, and supervised machine learning applications to LINCS data and other relevant Big Data from high content molecular and phenotype profiling of human cells.

This is the second course in a two-part series on bioinformatics algorithms, covering the following topics: evolutionary tree reconstruction, applications of combinatorial pattern matching for read mapping, gene regulatory analysis, protein classification, computational proteomics, and computational aspects of human genetics.

讲授C++语言中和面向对象有关的概念和语法，如类和对象、运算符重载、继承和多态、类模板和算法模板、标准模板库等。目标是使得学生能够用C++语言，以面向对象的方法编写可维护性、可扩充性好的，较大规模的程序，初步领会面向对象程序设计方法的优势所在。

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 use the cloud and write programs for data analytics.