\n
  • Modern Algebra \u2013 a thorough introduction to the theory of groups and rings
  • \n
  • Numerical Analysis I \u2013 computer arithmetic, pitfalls of computation, iterative methods for the solution of a single nonlinear equation, interpolation, least squares, numerical differentiation, numerical integration, and solutions of linear systems by direct and iterative methods
  • \n
  • Real and Complex Analysis \u2013 real and complex number systems, completeness, sequences and series and their limits, continuity of real and complex functions, derivative, analytic functions, and power series
  • \n
  • Numerical Analysis II \u2013 solution of systems of nonlinear equations, solution of initial value problems, matrix norms and the analysis of iterative solutions, numerical solution of boundary value problems and partial differential equations, and introduction to the finite element method
  • \n
  • Theoretical Linear Algebra \u2013 vector spaces, linear transformations, determinants, eigenvalues and eigenvectors, canonical forms, inner product spaces, and bilinear forms
  • \n
  • Applied Mathematics \u2013 construction and study of mathematical models for physical, economic, and social processes
  • \n
  • Partial Differential Equations \u2013 the solution and properties of first and second order equations, heat and wave equation, elliptic boundary value problems and Green\u2019s function, hyperbolic problems and the theory of characteristics, finite difference methods, the equations of mathematical physics
  • \n
  • Senior Problem Solving \u2013 mathematical discovery through problem solving; students will be expected to develop two or three areas of mathematics by solving assigned problems
  • \n\n

    Master\u2019s Degree in Applied Mathematics \u2013 Two Year Duration
    \nThe applied mathematics master\u2019s degree prepares students for careers in science, engineering, and business, where advanced methods in differential equations, nonlinear optimization, statistics, and computational mathematics play a significant role in technology development and innovation. At this level students choose a specialty, and coursework is customizable and goes far beyond foundational math. It is quite common for schools to offer both thesis and non-thesis options.

    \n

    Sample Core Courses

    \n\n

    Sample Concentrations and Applicable Courses

    \n

    Differential Equations
    \n- Intermediate Differential Equations
    \n- Intermediate Partial Differential Equations
    \n- Numerical Solutions of Partial Differential Equations
    \n- Complex Analysis

    \n

    Optimization of Stochastic Systems (for a system to be stochastic, one or more parts of the system has randomness associated with it; a stochastic system does not always produce the same output for a given input)
    \n- Statistical Methods
    \n- Stochastic Processes
    \n- Nonlinear Optimization
    \n- Stochastic Optimization

    \n

    Data Science
    \n- Numerical Linear Algebra for Big Data
    \n- Mathematical Statistics
    \n- Time Series Analysis
    \n- Dynamic Programming and Reinforcement Learning

    \n

    Doctoral Degree in Applied Mathematics \u2013 Five Year Duration
    \nDoctoral programs in advanced mathematics are composed of coursework, independent study, and opportunities to conduct original, creative research. Graduates typically go to careers in academia and industrial research.

    \n

    Sample Courses
    \n- Applied Analysis
    \n- Computational Mathematics
    \n- Probability
    \n- Discrete Applied Mathematics
    \n- Mathematical Statistics

    \n

    Sample Research Areas and Topics
    \n- Mathematical Biology and Bioinformatics \u2013 detection of functional signals in biological sequences and protein networks
    \n- Image and Vision Sciences \u2013 imaging science, computer vision, information theory, machine learning
    \n- Mathematical Finance and Mathematical Economics \u2013 pricing of financial derivatives, portfolio selection, risk measure, credit risk, trading strategy, game theory (the branch of applied mathematics that provides tools for analyzing situations in which parties, called players, make decisions that are interdependent; this interdependence causes each player to consider the other player\u2019s possible decisions in formulating strategy; game theory is sometimes referred to as the science of strategy)
    \n- Numerical Analysis and Computing \u2013 numerical linear algebra, computational fluid dynamics, computational materials science
    \n- Mathematical Modeling \u2013 for the control of forest fires
    \n- Optimization \u2013 optimal harvesting of natural resources
    \n- Statistics and Big Data Analysis \u2013 applications to biology, medicine, finance, and the energy industry
    \n- Control of Mechanical Systems \u2013 by moving coordinates and locomotion in fluids

    ", "display_order": 2, "created_at": "2019-08-29T17:56:35.464632-07:00", "updated_at": "2022-01-10T16:44:50.582174-08:00"}, {"degree_id": 58, "page": 1, "title": "Degrees Similar to Applied Mathematics", "summary_markdown": "**[Accounting](/degrees/accounting-degree/)** \r\nDegree programs in accounting prepare students for the work of gathering, recording, analyzing, interpreting, evaluating, and communicating financial information. This includes examining accounting records, reconciling accounts, preparing financial reports, and completing tax returns. The typical curriculum includes classes in mathematics, business management, business communication, business research, finance, and economics. \r\n\r\n**[Actuarial Science](/degrees/actuarial-science-degree/)** \r\nThis degree program provides students with in-depth training in mathematics, statistics, and probability. It teaches the use of models in analyzing and solving financial problems and includes coursework in economics, finance, accounting, and computer science. \r\n\r\n**[Civil Engineering](/degrees/civil-engineering-degree/)** \r\nThis degree field is focused on the processes of design and planning of civil infrastructure like roads, tunnels, bridges, dams, railroads, and airports. In their work, civil engineers are concerned with such things as how much weight a structure can support and the environmental issues presented by construction. The emphasis of civil engineering degree programs is math, statistics, engineering systems and mechanics, building codes, and statistical analysis. \r\n\r\n**[Computer Science](/degrees/computer-science-degree/)** \r\nThe field of computer science is focused on computer systems and how humans interact with them. Courses cover mathematics for computer science, artificial intelligence, data structures and algorithms, and introduction to program design. \r\n\r\n**[Engineering Physics](/degrees/engineering-physics-degree/)** \r\nStudents of engineering physics learn how to use physics to solve practical problems. For this reason, the field is sometimes referred to as the bridge between physics and engineering. Coursework includes computational physics, materials science, thermodynamics, and nanotechnology.", "content_markdown": "**[Industrial Engineering](/degrees/industrial-engineering-degree/)** \r\nIndustrial engineering majors learn how to improve the way that industries and organizations, such as hospitals and factories, operate. They draw on their knowledge in math, science, business, and psychology to consider factors like materials, equipment, and people. \r\n\r\n**[Management Information Systems](/degrees/management-information-systems-degree/)** \r\nThis degree field is focused on information systems and how they are used by businesses and organizations to improve their operations. Classes cover computer databases, networks, computer security, and related project management. \r\n\r\n**[Mathematics](/degrees/mathematics-degree/)** \r\nDegree programs in mathematics typically teach both the theory and abstract of pure mathematics and its practical application to the world, known as applied mathematics. In other words, math majors study algebra, geometry, calculus, and statistics; but most pair this mathematics concentration with classes that reveal how math concepts are used in business management, computer science, economics, finance, music, philosophy, physics, and sports science. \r\n\r\n**[Simulation Programming](/degrees/simulation-programming-degree/)** \r\nSimulation programmers develop computer *simulations* that allow us to predict, see, think about, test, and manipulate real-world products, services, systems, processes, conditions, situations, and issues, without taking the risk and incurring the costs of doing so *in* the real world. Math, engineering, and computer science are the overlapping disciplines that simulation relies on. \r\n\r\nDegree programs in the field are made up of courses in these technical and scientific areas, but they are also focused on teaching the skills of abstracting, theorizing, hypothesizing, and intellectualizing. In other words, simulation programming students learn everything they need to conceptualize the world into models that are designed to reach solutions to many of the world\u2019s challenges and problems. \r\n\r\n**[Statistics](/degrees/statistics-degree/)** \r\nThe degree field of statistics is focused on the study of probability theory and sampling theory. Students use techniques like sample survey theory and variance analysis (the quantitative investigation of the difference between actual and planned behavior) to examine the relationships between groups and measurements. In simple terms, statistics is about collecting data, organizing it, analyzing it, and interpreting it in practical ways that guide decision making in both business sectors and politics.", "content_html": "

    Industrial Engineering
    \nIndustrial engineering majors learn how to improve the way that industries and organizations, such as hospitals and factories, operate. They draw on their knowledge in math, science, business, and psychology to consider factors like materials, equipment, and people.

    \n

    Management Information Systems
    \nThis degree field is focused on information systems and how they are used by businesses and organizations to improve their operations. Classes cover computer databases, networks, computer security, and related project management.

    \n

    Mathematics
    \nDegree programs in mathematics typically teach both the theory and abstract of pure mathematics and its practical application to the world, known as applied mathematics. In other words, math majors study algebra, geometry, calculus, and statistics; but most pair this mathematics concentration with classes that reveal how math concepts are used in business management, computer science, economics, finance, music, philosophy, physics, and sports science.

    \n

    Simulation Programming
    \nSimulation programmers develop computer simulations that allow us to predict, see, think about, test, and manipulate real-world products, services, systems, processes, conditions, situations, and issues, without taking the risk and incurring the costs of doing so in the real world. Math, engineering, and computer science are the overlapping disciplines that simulation relies on.

    \n

    Degree programs in the field are made up of courses in these technical and scientific areas, but they are also focused on teaching the skills of abstracting, theorizing, hypothesizing, and intellectualizing. In other words, simulation programming students learn everything they need to conceptualize the world into models that are designed to reach solutions to many of the world\u2019s challenges and problems.

    \n

    Statistics
    \nThe degree field of statistics is focused on the study of probability theory and sampling theory. Students use techniques like sample survey theory and variance analysis (the quantitative investigation of the difference between actual and planned behavior) to examine the relationships between groups and measurements. In simple terms, statistics is about collecting data, organizing it, analyzing it, and interpreting it in practical ways that guide decision making in both business sectors and politics.

    ", "display_order": 3, "created_at": "2019-08-29T17:56:35.466991-07:00", "updated_at": "2022-01-10T16:49:13.828592-08:00"}, {"degree_id": 58, "page": 1, "title": "Skills You’ll Learn", "summary_markdown": "Thinking mathematically involves four fundamental processes: \r\n\r\n- Specializing \u2013 looking at examples and special cases \r\n- Generalizing \u2013 looking for patterns and relationships \r\n- Conjecturing \u2013 predicting relationships and results \r\n- Convincing \u2013 finding and communicating reasons why something is true \r\n\r\nIt is not difficult to see how these processes can be applied to almost any field of work and how they leave applied mathematics graduates with the following set of transferable skills: \r\n\r\n- Analytical Thinking \r\n- Critical Thinking \r\n- Problem Solving \r\n- Quantitative Reasoning \r\n- Ability to manipulate precise and intricate ideas \r\n- Ability to construct logical arguments and expose illogical arguments \r\n- Communication \r\n- Time Management \r\n- Teamwork \r\n- Independence", "content_markdown": "", "content_html": "", "display_order": 4, "created_at": "2019-08-29T17:56:35.469243-07:00", "updated_at": "2022-01-10T16:42:55.718946-08:00"}, {"degree_id": 58, "page": 1, "title": "What Can You Do with an Applied Mathematics Degree?", "summary_markdown": "Application of mathematical modeling and computational methods is a key process in many fields. \r\n\r\nThese are some sectors in which it is becoming an increasingly important tool: \r\n- Systems Biology \r\n- Data Mining and Data Privacy \r\n- Materials Science \r\n- Computer Animation and Digital Imaging \r\n- Finance and Economics \r\n- Ecology / Epidemiology / Environment \r\n- Climatology \r\n\r\nHere are examples of organizations that hire applied mathematics graduates: \r\n- Academic institutions and research institutes \r\n- Aerospace and transportation equipment manufacturers or service providers \r\n- Analytics and forecasting organizations \r\n- Chemical / pharmaceutical manufacturers \r\n- Communications services providers \r\n- Computer information and software firms (established or start-ups) \r\n- Consumer products companies \r\n- Energy systems firms \r\n- Electronics and computer manufacturers \r\n- Engineering research organizations \r\n- Financial service and investment management firms \r\n- Government labs, research offices, and agencies \r\n- Insurance companies \r\n- Medical device companies \r\n- Producers of petroleum and petroleum products", "content_markdown": "Titles held by those working in applied mathematics include: \r\n- Research Scientist \r\n- [Data Scientist](//www.chevelle-parts.com/careers/data-scientist/) \r\n- [Operations Researcher](//www.chevelle-parts.com/careers/operations-research-analyst/) / Analyst \r\n- [Quantitative Analyst](//www.chevelle-parts.com/careers/financial-quantitative-analyst/) \r\n- [Investment Fund Manager](//www.chevelle-parts.com/careers/investment-fund-manager/) \r\n- [Financial Analyst](//www.chevelle-parts.com/careers/financial-analyst/) \r\n- [Actuary](//www.chevelle-parts.com/careers/actuary/) \r\n- Research and Development [Engineer](//www.chevelle-parts.com/careers/engineer/) \r\n- Modeling Engineer \r\n- [Mathematician](//www.chevelle-parts.com/careers/mathematician/) / [Statistician](//www.chevelle-parts.com/careers/statistician/) \r\n- Mathematics / Science [Teacher](//www.chevelle-parts.com/careers/teacher/) \r\n- Mathematics [Professor](//www.chevelle-parts.com/careers/professor/)", "content_html": "

    Titles held by those working in applied mathematics include:
    \n- Research Scientist
    \n- Data Scientist
    \n- Operations Researcher / Analyst
    \n- Quantitative Analyst
    \n- Investment Fund Manager
    \n- Financial Analyst
    \n- Actuary
    \n- Research and Development Engineer
    \n- Modeling Engineer
    \n- Mathematician / Statistician
    \n- Mathematics / Science Teacher
    \n- Mathematics Professor

    ", "display_order": 5, "created_at": "2019-08-29T17:56:35.471670-07:00", "updated_at": "2022-01-10T16:50:52.150233-08:00"}], "degree_specializations": []}">

    什么是应用数学学位?

    数学帮助公司在数据驱动的市场中表现得更好。这是应用数学的基础。这一领域的职业不仅仅是处理数字。

    应用数学家计算科学家使用理论和技术,如数学建模和计算方法,来制定和解决商业、政府、工程、物理、生命和社会科学中的实际问题。他们可能会发现自己正在探索这样的问题:航空公司如何使用更智能的调度来降低飞机停车成本?生物燃料生产能否优化以保护世界环境和经济?如何为临床试验设计详细的计划?我们能通过社交媒体分享、点赞和评论来衡量情绪变化吗?

    简而言之,应用数学领域将数学带入了生活。它让我们更好地了解我们周围的世界。为此,该学院的学生学习如何处理抽象的对象和思想,将现实生活中的数据转化为数学语言,并理解真实和复杂分析的基本概念。

    程序选项

    应用数学学士学位-四年
    在本科阶段,应用数学专业提供数学技术和思维方式的课程。它侧重于适用于科学、工程和工业的数学和计算方法。

    以下是应用数学本科课程简介:

    • MATLAB计算- MATLB的介绍,这是一种多范式编程语言和数值计算环境,允许矩阵操作,函数和数据的绘图,算法的实现,用户界面的创建,以及与用其他语言编写的程序的接口
    • MATLAB中的应用——介绍MATLAB的一些特殊应用;学生将加强他们的编程技能,因为他们暴露在需要计算的问题
    • 微积分I -微积分理论和应用的入门课程;主题包括函数,极限和连续性,代数函数,三角函数,指数函数和对数函数的微分,曲线素描,优化和L 'Hôpital的规则(一种技术来评估不确定形式的极限)
    • 普通物理I -力学,引力,能量守恒,流体和波;生物应用讨论
    • 微积分II -微积分理论和应用的第二课程;主题包括定积分和微积分基本定理,定积分的应用,积分的技巧,反常积分,序列和级数,包括幂级数和泰勒级数
    • 普通物理II -电与磁;光学;原子、分子和核物理;生物应用讨论
    • 微积分III -微积分理论和应用的第三门课程;主题包括二维或三维的向量,空间中的线和面,参数方程,向量函数及其导数,多元函数,偏导数,多重积分,线积分,格林定理,散度定理,斯托克斯定理
    • 数学的基本概念-数学抽象和数学证明的语言介绍;主题包括逻辑、集合、整数、归纳和模算术、函数和基数
    • 线性代数微分方程-常微分方程的一门课程,着重于线性代数的使用
    • 概率论-计数技术,概率的公理定义,条件概率,事件的独立性,贝叶斯定理,随机变量,离散和连续概率分布,期望值,矩和矩生成函数,联合概率分布,随机变量的函数,协方差和相关性
    • 现代代数-对群和环理论的全面介绍
    • 数值分析I -计算机算术,计算陷阱,求解单个非线性方程的迭代方法,插值,最小二乘,数值微分,数值积分,线性系统的直接和迭代方法的解决方案
    • 实数和复分析-实数和复数系统,完备性,序列和级数及其极限,实函数和复函数的连续性,导数,解析函数和幂级数
    • 数值分析II -非线性方程组的解,初值问题的解,矩阵范数和迭代解的分析,边值问题和偏微分方程的数值解,有限元方法的介绍
    • 理论线性代数-向量空间,线性变换,行列式,特征值和特征向量,标准形式,内积空间和双线性形式
    • 应用数学-物理、经济和社会过程的数学模型的构建和研究
    • 偏微分方程-一阶和二阶方程的解和性质,热方程和波动方程,椭圆边值问题和格林函数,双曲问题和特征理论,有限差分方法,数学物理方程
    • 高级问题解决-通过解决问题来发现数学;学生将被期望通过解决指定的问题来发展两到三个数学领域

    应用数学硕士学位-为期两年
    应用数学硕士学位为学生在科学,工程和商业领域的职业生涯做好准备,其中微分方程,非线性优化,统计学和计算数学的先进方法在技术发展和创新中发挥着重要作用。在这个阶段,学生可以选择一个专业,课程是可定制的,远远超出了基础数学。学校同时提供论文和非论文两种选择是很常见的。

    核心课程样本

    • 功能分析
    • 概率
    • 数值分析

    样本浓度和适用课程

    微分方程

    • 中间微分方程
    • 中间偏微分方程
    • 偏微分方程的数值解
    • 复杂的分析

    随机系统的优化(对于随机系统,系统的一个或多个部分具有与之相关的随机性;对于给定的输入,随机系统并不总是产生相同的输出)

    • 统计方法
    • 随机过程
    • 非线性优化
    • 随机优化

    数据科学

    • 大数据的数值线性代数
    • 数理统计
    • 时间序列分析
    • 动态规划与强化学习

    应用数学博士学位-五年学制
    高等数学博士课程由课程作业、独立学习和进行原创、创造性研究的机会组成。毕业生通常会进入学术界和工业研究领域。

    样本的课程

    • 应用分析
    • 计算数学
    • 概率
    • 离散应用数学
    • 数理统计

    样本研究领域和课题

    • 数学生物学和生物信息学:检测生物序列和蛋白质网络中的功能信号
    • 图像与视觉科学-成像科学,计算机视觉,信息理论,机器学习
    • 数学金融和数学经济学-金融衍生品定价,投资组合选择,风险衡量,信用风险,交易策略,博弈论(应用数学的分支,提供工具分析情况下,各方,称为玩家,做出的决定是相互依赖的;这种相互依存性导致双方在制定策略时都要考虑对方可能做出的决定;博弈论有时被称为战略科学)
    • 数值分析与计算-数值线性代数,计算流体动力学,计算材料科学
    • 数学建模-控制森林火灾
    • 优化——自然资源的最佳收获
    • 统计和大数据分析-应用于生物学,医学,金融和能源行业
    • 机械系统控制-通过在流体中移动坐标和运动

    与应用数学类似的学位

    会计
    会计学位课程为学生收集、记录、分析、解释、评估和沟通财务信息做好准备。这包括检查会计记录、对账、准备财务报告和完成纳税申报单。典型的课程包括数学、商业管理、商务交际、商业研究、金融和经济学。

    保险精算学
    该学位课程为学生提供数学、统计学和概率方面的深入培训。它教授在分析和解决金融问题时使用模型,包括经济学、金融学、会计学和计算机科学的课程。

    土木工程
    该学位领域主要研究道路、隧道、桥梁、大坝、铁路和机场等民用基础设施的设计和规划过程。在他们的工作中,土木工程师关心的事情,如结构可以承受多少重量,以及建筑所带来的环境问题。土木工程学位课程的重点是数学、统计学、工程系统和力学、建筑规范和统计分析。

    计算机科学
    计算机科学领域的重点是计算机系统以及人类如何与它们交互。课程涵盖计算机科学、人工智能、数据结构和算法的数学,以及程序设计概论。

    工程物理
    工程物理专业的学生学习如何利用物理学来解决实际问题。因此,该领域有时被称为物理学和工程学之间的桥梁。课程包括计算物理、材料科学、热力学和纳米技术。

    工业工程
    工业工程专业学习如何改善医院和工厂等行业和组织的运作方式。他们利用自己在数学、科学、商业和心理学方面的知识来考虑材料、设备和人等因素。

    管理信息系统
    该学位领域的重点是信息系统以及企业和组织如何使用它们来改善其运营。课程涵盖计算机数据库、网络、计算机安全以及相关的项目管理。

    数学
    数学学位课程通常教授纯数学的理论和抽象,以及它在世界上的实际应用,即应用数学。换句话说,数学专业的学生学习代数、几何、微积分和统计学;但大多数人将数学课程与揭示数学概念如何应用于商业管理、计算机科学、经济学、金融学、音乐、哲学、物理学和体育科学的课程相结合。

    模拟编程
    模拟程序员开发计算机模拟这使我们能够预测、观察、思考、测试和操作现实世界的产品、服务、系统、流程、条件、情况和问题,而无需承担风险和承担这样做的成本真实的世界。数学、工程学和计算机科学是模拟所依赖的交叉学科。

    该领域的学位课程由这些技术和科学领域的课程组成,但它们也侧重于教授抽象、理论化、假设和智能化的技能。换句话说,模拟编程的学生学习他们需要的一切来将世界概念化到模型中,这些模型旨在解决世界上的许多挑战和问题。

    统计数据
    统计学的度场侧重于概率论和抽样理论的研究。学生们使用样本调查理论和方差分析(对实际行为和计划行为之间差异的定量调查)等技术来检查群体和测量之间的关系。简单来说,统计学就是收集数据,组织数据,分析数据,并以实际的方式解释数据,从而指导商业部门和政治部门的决策。

    你将学会的技能

    数学思维包括四个基本过程:

    • 专门化——看例子和特殊情况
    • 泛化——寻找模式和关系
    • 推测——预测关系和结果
    • 令人信服——寻找并传达某事为真的理由

    不难看出,这些过程几乎可以应用于任何工作领域,它们如何为应用数学毕业生留下以下一组可转移的技能:

    • 分析思考
    • 批判性思维
    • 解决问题
    • 定量推理
    • 能够处理精确而复杂的思想
    • 有能力建构合乎逻辑的论点和揭露不合逻辑的论点
    • 沟通
    • 时间管理
    • 团队合作
    • 独立

    有了应用数学学位你能做什么?

    数学建模和计算方法的应用是许多领域的关键过程。

    在以下一些领域,它正成为越来越重要的工具:

    • 系统生物学
    • 数据挖掘与数据隐私
    • 材料科学
    • 计算机动画与数字成像“,
    • 财经
    • 生态学/流行病学/环境
    • 气候学

    以下是一些雇佣应用数学毕业生的组织的例子:

    • 学术机构和研究机构
    • 航空航天和运输设备制造商或服务提供商
    • 分析和预测组织
    • 化学/制药制造商
    • 通信服务提供商
    • 计算机信息和软件公司(已成立或刚成立)
    • 消费品公司
    • 能源系统公司
    • 电子及电脑制造商
    • 工程研究机构
    • 金融服务和投资管理公司
    • 政府实验室、研究办公室和机构
    • 保险公司
    • 医疗器械公司
    • 石油和石油产品的生产者

    从事应用数学工作的人员所拥有的头衔包括:

    学费

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