Courses tagged with "Evaluation" (733)

This course is designed as an introduction to computer programming using Java. Students will learn how to a) analyze a problem, and identify and define the computing requirements appropriate to its solution b) design, implement, and evaluate a computer-based system, process, component, or program to meet desired needs, and c) apply design and development principles in the construction of software systems of varying complexity. Topics include Computers, programs, Java, input and output, identifiers, variables, assignment statements, constants, memory diagrams, primitive data types, conditional statements, repetition, methods, parameters, arguments, return values, one dimensional arrays, objects, classes, and classes from the Java Application Programmers Interface (API).

Build real-world embedded solutions using a bottom-up approach from simple to complex in this hands-on, lab-based course.

Learn about Databases, one of the most prevalent technologies underlying internet and computing applications today.

Learn how to design and develop a mobile Web app. What about realising a real-time multi-player game? We show you the way to get your idea to the app store.

This is a graduate course on the design and analysis of algorithms, covering several advanced topics not studied in typical introductory courses on algorithms. It is especially designed for doctoral students interested in theoretical computer science.

In this 5-week course we’ll introduce the fundamentals of programming in Processing, an accessible introduction to combining arts and computing. The course will provide the essentials of programming in a visual context, allowing you to visualize, design, and create generative art with Processing.

In this course----the third in a trans-institution sequence of MOOCs on Mobile Cloud Computing with Android--we will learn how to connect Android mobile devices to cloud computing and data storage resources, essentially turning a device into an extension of powerful cloud-based services on popular cloud computing platforms, such as Google App Engine and Amazon EC2.

Learn the basics of creating data products using Shiny, R packages, and interactive graphics. This is the ninth course in the Johns Hopkins Data Science Specialization.

This course introduces the basic mathematical and programming principles that underlie much of Computer Science. Students will refine their programming skills as well as learn the basics of creating efficient solutions to common computational problems.

Experienced Computer Scientists analyze and solve computational problems at a level of abstraction that is beyond that of any particular programming language. This class is designed to train students in the mathematical concepts and process of "Algorithmic Thinking", allowing them to build simpler, more efficient solutions to computational problems.

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.

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.

In this course, we will study security and trust from the hardware perspective. Upon completing the course, students will understand the vulnerabilities in current digital system design flow and the physical attacks to these systems. They will learn that security starts from hardware design and be familiar with the tools and skills to build secure and trusted hardware.

This course will introduce you to the foundations of modern cryptography, with an eye toward practical applications.

通过大量、丰富、完整、不同领域、应用不同技术的案例，深入、完整地讲解当今主流的面向对象软件开发方法的分析、设计及实现方法。

《程序设计实习》课程是北京大学的本科生主干基础课程。课程的主要目标有二： 一、掌握C++语言的语法和标准模板库，能用C++语言以面向对象的方法来编写规模较大的程序。 二、掌握枚举、递归、搜索、动态规划等基本的算法思想。通过大量的高强度的编程训练，提高动手能力，做到能较为熟练、完整、准确地实现自己设计的程序，为进一步学习其他计算机专业课程，或在其他专业领域运用计算机编程解决问题奠定良好的基础。

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 introduces concepts, algorithms, programming, theory and design of spatial computing technologies such as global positioning systems (GPS), Google Maps, location-based services and geographic information systems. Learn how to collect, analyze, and visualize your own spatial datasets while avoiding common pitfalls and building better location-aware technologies.

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.

Helping you build human-centered design skills, so that you have the principles and methods to create excellent interfaces with any technology.