用硕士学位拓宽你的技能.S. 主修计算机科学，主修软件系统

This course covers key knowledge and skills for advanced software development using the object-oriented approach. 学生学习，操作和思考非线性数据结构，如树和堆. 递归算法, 排序算法, 算法的效率, 并讨论了高级设计模式. 支持软件开发的先进概念和原则, 学生将设计, code, test, debug, and document programs with increased scale and complexity using industry's best practices (such as GitHub) and the Java programming language. 注意:本课程有监考考试。.

本课程涵盖各种算法设计范例, 算法的数学分析, 算法与np完备性的实证分析.

本课程侧重于设计数据库时的基本设计考虑. 具体的主题包括设计方案的性能分析, 系统配置和管理一个流行的数据库系统. The course also offers an in-depth analysis of the algorithms and machine organizations of database systems. 注意:本课程有监考考试。. 如果学生使用在线监考，这个考试需要额外的技术.

This course introduces the design of distributed computing systems and distributed application programming. 分布式系统的主要概念包括:透明性, 非均质性, 进程通信, 一致性, 容错, 和安全. Students will also learn to develop a real-world distributed application as a RESTful Web-service on an application server. 注意:本课程有监考考试。.

本课程着重于交付高质量软件的问题, 特别是在大型复杂系统中. 涵盖的主题包括测试策略(黑盒、白盒、回归等).)、单元测试、系统集成、系统验证和支持工具. It also will reinforce the need for requirements that are testable and traceable from the early design stages. 注意:本课程有监考考试。.

This course, 计算机科学硕士课程的最后一个, challenges students to research a current topic of interest in 计算机科学 and produce an original paper and presentation on the topic. 除了研究论文, students are introduced to the economics of software development and the tools needed to estimate the cost of a software development project for management in a corporate environment. 本课程的最后一个主题是讨论与信息技术相关的道德问题. 当前的伦理主题将通过使用相关的案例研究进行讨论.

本课程提供了方法的介绍性概述, 统计和数据分析领域的概念和当前实践. 涉及的主题包括数据收集, 数据分析和可视化以及概率, 知情决策的统计推断和回归方法. 学生将使用当前的统计软件探索这些主题. 一些重点也将给予数据分析的道德原则.

本课程侧重于收集, preparing, 并分析数据以创建可视化, dashboards, 以及可用于传达关键业务见解的故事. Students will learn how to structure and streamline data analysis projects and highlight their implications efficiently using the most popular visualization tools used by businesses today.

本课程探讨机器学习的两个主要领域:监督和无监督. 主题包括线性和逻辑回归, 概率推理, 支持向量机, 人工神经网络, clustering, 还有降维, 和编程.

本课程涵盖了企业环境中的安全基础知识. 包括对风险和漏洞的覆盖, 威胁建模, 政策的形成, 控制和保护方法, 加密和身份验证技术, 网络安全, 密码学, 人员和人身安全问题, 还有道德和法律问题. This foundational course serves as an introduction to many of the subsequent topics discussed in depth in later security courses. 注意:本课程有监考考试。. 如果学生使用在线监考，这个考试需要额外的技术.

今天，从金融到制造业，软件几乎是所有企业的核心. Software pervades everyday life in expected places like phones and computers but also in places that you may not consider such as toasters, thermostats, automobiles, 甚至是灯泡. Security flaws in software can have impacts ranging from inconvenient to damaging and even catastrophic when it involves life-critical systems. 如何设计和构建软件以最小化缺陷的存在或减轻它们的影响? 本课程着重于识别软件开发过程, model, 并减轻对各种软件的威胁. 主题包括威胁建模框架, 攻击树, 攻击库, 防守战术, 安全软件开发生命周期, web, cloud, 还有人为因素.

The cryptographic primitives of enciphering/deciphering and hashing are the two main methods of preserving confidentiality and integrity of data at rest and in transit. 因此，加密技术的研究是安全从业人员的主要兴趣. This course will cover the important principles in historical and modern 密码学 including the underlying information theory, 数学, 和随机性. 重要的技术，如流密码和分组密码, 对称和非对称密码学, 公开密码匙基础设施, 并将探索密钥交换. Finally, 哈希和消息身份验证码将作为保持数据完整性的一种方式进行检查.

本课程概述了当前软件开发和软件设计的实践, 特别是在面向对象的设计领域. 本课程将考察和对比当前和领先的方法和实践, 包括敏捷, 极限编程, 测试驱动设计, patterns, 面向方面的编程, 模型驱动的体系结构, 统一建模语言, 集成开发环境.

本课程涵盖软件系统工程的主题. Its scope is the design of the overall architecture for software systems with emphasis on distributed architectures. The issues in an architecture centered software development cycle and project management are addressed.

本课程从应用的角度介绍人工智能(AI). After an introduction of some basic concepts and techniques (such as searching and knowledge representation), the course illustrates both the theoretical foundation and application of these techniques with examples from a variety of problems. 该课程调查了广泛的人工智能活跃领域，如机器学习, 人工神经网络, 进化计算, robotics, 智能代理和仿生人工智能方法. 它在工程方法和理论之间取得了平衡. Exercises include hands-on application of basic AI techniques as well as selection of appropriate technologies for a given problem. The principal topics in the selected areas are also coupled with projects where groups of students will participate in the creation of AI-based applications.

This course provides MSCS students the opportunity to further their education with relevant work experience in the field of 计算机科学. 这个实习是学生、教师和就业主管之间的一个持续的研讨会. 它涉及学习合同(课程实践培训[CPT]信息), or other), 定期与教师代表会面, 和专业经验的水平相当于MSCS计划的其他选修课程. 学习合同中规定了需要提交的材料. 不能保证所有申请者都能参加.

Independent studies courses allow students in good academic standing to pursue learning in areas not covered by the regular curriculum or to extend study in areas presently taught. 学习在教师监督下进行，成绩为及格/无学分. 面向国际学生, 经课程主席批准，课程实践训练可作为独立学习. (详见《十大正规赌博平台大全排行》的“独立研究”部分.)

本课程提供了方法的介绍性概述, 统计和数据分析领域的概念和当前实践. 涉及的主题包括数据收集, 数据分析和可视化以及概率, 知情决策的统计推断和回归方法. 学生将使用当前的统计软件探索这些主题. 一些重点也将给予数据分析的道德原则.

本课程侧重于收集, preparing, 并分析数据以创建可视化, dashboards, 以及可用于传达关键业务见解的故事. Students will learn how to structure and streamline data analysis projects and highlight their implications efficiently using the most popular visualization tools used by businesses today.

本课程探讨机器学习的两个主要领域:监督和无监督. 主题包括线性和逻辑回归, 概率推理, 支持向量机, 人工神经网络, clustering, 还有降维, 和编程.

本课程涵盖了企业环境中的安全基础知识. 包括对风险和漏洞的覆盖, 威胁建模, 政策的形成, 控制和保护方法, 加密和身份验证技术, 网络安全, 密码学, 人员和人身安全问题, 还有道德和法律问题. This foundational course serves as an introduction to many of the subsequent topics discussed in depth in later security courses. 注意:本课程有监考考试。. 如果学生使用在线监考，这个考试需要额外的技术.

今天，从金融到制造业，软件几乎是所有企业的核心. Software pervades everyday life in expected places like phones and computers but also in places that you may not consider such as toasters, thermostats, automobiles, 甚至是灯泡. Security flaws in software can have impacts ranging from inconvenient to damaging and even catastrophic when it involves life-critical systems. 如何设计和构建软件以最小化缺陷的存在或减轻它们的影响? 本课程着重于识别软件开发过程, model, 并减轻对各种软件的威胁. 主题包括威胁建模框架, 攻击树, 攻击库, 防守战术, 安全软件开发生命周期, web, cloud, 还有人为因素.

The cryptographic primitives of enciphering/deciphering and hashing are the two main methods of preserving confidentiality and integrity of data at rest and in transit. 因此，加密技术的研究是安全从业人员的主要兴趣. This course will cover the important principles in historical and modern 密码学 including the underlying information theory, 数学, 和随机性. 重要的技术，如流密码和分组密码, 对称和非对称密码学, 公开密码匙基础设施, 并将探索密钥交换. Finally, 哈希和消息身份验证码将作为保持数据完整性的一种方式进行检查.

本课程概述了当前软件开发和软件设计的实践, 特别是在面向对象的设计领域. 本课程将考察和对比当前和领先的方法和实践, 包括敏捷, 极限编程, 测试驱动设计, patterns, 面向方面的编程, 模型驱动的体系结构, 统一建模语言, 集成开发环境.

本课程涵盖软件系统工程的主题. Its scope is the design of the overall architecture for software systems with emphasis on distributed architectures. The issues in an architecture centered software development cycle and project management are addressed.

本课程从应用的角度介绍人工智能(AI). After an introduction of some basic concepts and techniques (such as searching and knowledge representation), the course illustrates both the theoretical foundation and application of these techniques with examples from a variety of problems. 该课程调查了广泛的人工智能活跃领域，如机器学习, 人工神经网络, 进化计算, robotics, 智能代理和仿生人工智能方法. 它在工程方法和理论之间取得了平衡. Exercises include hands-on application of basic AI techniques as well as selection of appropriate technologies for a given problem. The principal topics in the selected areas are also coupled with projects where groups of students will participate in the creation of AI-based applications.

本课程涵盖基本的编程原理. 学生将学习计算机程序的基本元素，如数据类型, 作业, 条件分支, loops, functions, recursion, 基本数据结构, 程序调试, 和测试. 注意:本课程有监考考试。.

本课程涵盖基本的编程原理 for individuals with at least some programming background. 主要的主题是结构化编程, 解决问题, 算法设计, 自顶向下逐步细化, 软件生命周期. 主题将包括测试, data types, operators, 重复和选择控制结构, functions, arrays, 和对象. 学生将用相关的编程语言设计、编码、测试、调试和记录程序. 注意:本课程有监考考试。.

本课程介绍使用面向对象的方法进行软件构建. 学生在问题分析中学习和反思, 面向对象设计, 实现, 和测试. 支持软件构建的概念和原则, 学生将设计, code, test, debug, 并使用Java编程语言编写程序文档. 基本数据类型, 控制结构, methods, 类被用作可重用软件组件的构建块. 自动化单元测试, 编程风格, 除了面向对象的抽象技术外，还强调了工业实践, 封装, 和组成. 注意:本课程有监考考试。.

本课程延续了面向对象的中级软件开发方法. 学生将学习和反思基本的面向对象分析技术, 基本设计模式, 线性数据结构，比如列表和队列. 支持软件开发的概念和原则, 学生将设计, code, test, debug, 并使用Java编程语言编写程序文档. 注意:本课程有监考考试。. 如果学生使用在线监考，这个考试需要额外的技术.

本课程延续了面向对象的软件构建方法. 学生学习并反思先进的面向对象技术, 算法的效率, 类层次结构, 数据结构. 支持软件构建的概念和原则, 学生将设计, code, test, debug, 并使用Java编程语言编写程序文档. 设计原则, I/O, 异常处理, 线性数据结构(列表), stacks, 和队列), and design patterns are emphasized in addition to the object-oriented techniques of inheritance and polymorphism. 注意:本课程有监考考试。.

本课程向学生介绍基础代数, logical, 以及高年级计算机科学课程中需要的数学组合概念. Topics include integer representation; algorithms; modular arithmetic and exponentation; discrete logarithms; 密码学; recursion; primality testing; number theory; graphs and directed graphs; trees; and Boolean Algebra. 注意:本课程有监考考试。. 如果学生使用在线监考，这个考试需要额外的技术.

本课程向学生介绍基础代数, logical 以及高年级计算机科学课程中需要的数学组合概念. Topics include logic; sets, mappings, and relations; elementary counting principles; proof techniques with emphasis on mathematical induction; graphs and directed graphs; Boolean algebras; recursion; and applications to computer science. 请注意:书本费将包括在所需课程材料的学费中. 注意:本课程有监考考试。.