国际学生入学条件
International applicants to Case Western Reserve follow the same deadlines and process as domestic students. CWRU also requires English translations, if applicable, for academic records and recommendations. After submitting their Common App or Coalition Application, students whose first language is not English must submit an English language exam score to Case Western Reserve via the testing agency, or students can submit self-reported scores by completing the form on their applicant portal. Enrolling students will confirm their testing with official score reports. IELTS 7.0, TOEFL iBT, including Home Edition and Paper Edition tests 90.
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雅思考试总分
7.0
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雅思考试指南
- 雅思总分:7
- 托福网考总分:90
- 托福笔试总分:160
- 其他语言考试:PTE Academic - 61 minimum
CRICOS代码:
申请截止日期: 请与IDP顾问联系以获取详细信息。
课程简介
可通过以下方式获得学生的数学学士学位,数学理学学士学位,应用数学理学学士学位,数学和物理学理学学士学位,统计学理学学士学位以及统计学理学学士学位凯斯西储大学。该部门的所有本科学位都基于微积分和微分方程的四门课程序列,并且具有计算成分。数学学位都需要在分析和代数方面有进一步的数学核心。统计学位都需要进一步的统计核心。这些核心课程均包含四门课程。每个学位还有其他技术要求。统计学的BS学位要求至少68个小时的批准课程工作,其中包括27个小时的统计学工作以及其余相关学科和实质性应用领域的工作。除了学士学位的要求外
All undergraduate degrees in the department are based on a four-course sequence in calculus and differential equations and have a computational component. The statistics degrees all require a further statistics core and a minimum of 120 credit hours. Students in statistics begin with a foundation in mathematics. Then they add statistical theory, plus intensive modern data analysis and a concentration in a field of their choice. The goal is to develop an appreciation of each facet of the discipline and a mastery of technical skills. This prepares students to enter a growing profession with opportunities in the academic, governmental, actuarial, and industrial spheres. The bachelor of science in statistics differs from the bachelor of arts by requiring more hours in the major (although the same total hours for the degree), part of which provides a broad background in the sciences.<br><br>Students will be able to know the fundamental concepts of probability theory, random variables, probability distributions, moments, and the transformation of random variables.<br><br>Students will be able to correctly identify appropriate probability models for a given random phenomenon and demonstrates the capability of finding distributions of functions of random variables and properties thereof. Students will be able to know the fundamental concepts of the central limit theorem, law of large numbers, theory of estimation, and hypothesis testing. Students will be able to demonstrate the capability of setting up the mathematical proof for finding large sample properties of estimators and/or is able to construct appropriate statistical inferential procedures using such estimators.
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