In addition to thegeneral GSBS course requirements, the QS Program requires the following courses:
- 生物信息学简介GS01 1143
- 生命科学生物统计学GS14 1612（生物统计学除外）
- Quantitative Sciences Student Seminar Series GS01 1031 (enroll every fall semester unless student has a direct course conflict)
- 期刊俱乐部（在学位课程期间参加一个学期 - 可以在候选考试后完成）
- Click here forJournal Club options
QS学生还有望参加以下部分列出的计划的四首曲目之一所要求的课程。
MS学生的课程要求：
- GS01 1143 Introduction to Bioinformatics
- GS14 1612生命科学生物统计学
- GS01 1031定量科学学生研讨会
宣布定量科学集中注意力的学生必须接受：
All of the QS program required courses or equivalent quantitative courses on a case-by case basis as approved by the Program Director
- 您将需要在您的咨询委员会中添加QS教师
- 请与QS总监联系，以获取任何其他问题或疑虑
定量科学计划先决条件：
- 生物统计学轨道– background requirements: 1) college-level calculus 2) linear algebra 3) and statistics. It is highly recommended that students have an MS degree in Statistics or Biostatistics.
- Bioinformatics/Systems Biology/Quantitative Genomics Tracks – experience with programming in R or Python is highly recommended.
For questions regarding the curriculum for the Quantitative Sciences program, please emailgsbs.askqsprogram@uth.tmc.edu
定量科学轨道
候选考试
定量科学（QS）课程学生必须参加研究建议基于学生项目的主题候选考试。beplay苹果手机能用吗格式遵循GSBon-topicformat and also includes a breadth of knowledge component. Time at the end of the exam will be used for each examiner to ask one breadth of knowledge question, plus follow-up questions as warranted.
问题指南如下：
- 课堂上涵盖的主题已经完成
- topics not already contained in the students grant proposal
- at least one biology or clinical practice-based question, as appropriate
- 应该是关于概念的一般问题，这些概念会导致后续研究，以检查学生知识的界限，并确保学生对该领域的基本原理有着坚定的理解
- 每个审查员一个问题；考试结束时总共20分钟
请参阅下面的定量科学计划候选考试委员会成员的列表。
- Students should select 2 members from the list below to be on their exam committee (can select any 2 from the list below)
- Students should select their exam committee chair from this list
候选考试委员会成员：
Jeff Chang，博士
Traver Hart, PhD
Prahlad Ram，博士
Kim-Anh Do，博士学位
Eduardo Vilar Sanchez，医学博士，博士
Nidhi Sahni，博士
Goo Jun，博士
小张，博士
Peng Wei, PhD
Linghua Wang, PhD
Ruitao Lin，博士
Ziyi Li，博士
James Long, PhD
计划要求
课程描述
- 基本和转化癌生物学
Course Detail
GS04 1235（5个学分）
Spring胡，简；ying，haoqing。五个学期。春季，每年。评分系统：字母等级。先决条件：无。允许审核。
癌症生物学核心课程将综合有关关键方面的知识
在 human cancer biology for understanding disease development, multidimensional molecular signatures, diagnostics, and therapeutics.课程委员会赞扬2020-2021学年课程
- 生物统计学for Life Scientists
Course Detail
GS14 1612（2个学分）
SpringLiu, Yin. Two semester hours. Spring, annually. Grading System: Letter Grade. Prerequisite: None.
这是针对生命科学科学家的生物统计学的入学级别级别。在本学期的上半年中，该课程将向学生介绍基本概念和统计检验，这些概念和统计测试在分析设计实验中的科学数据时通常会遇到，而不是对临床或流行病学数据的分析。概率介绍后，学生将学习哪些统计测试适当以及如何运行它们。重点是智能用法而不是数学形式。标准测试，例如t，z，
chi squared , ANOVA and regression analyses will be learned, as well as how power analyses and calculating sample size is performed. During the second half of the semester, advanced topics in life sciences, including Poisson distributions, clustering methods and multidimensional analyses will be covered. Another goal of this course will be to build familiarity with the basic R toolkit for statistical analysis and graphics. - Foundations of Biomedical Research for Quantitative Students
Course Detail
GS21 1018（7个学分）
FallLorenz, Michael; Arur, Swathi. Seven semester hours. Fall, annually. Grading System: Pass or Fail. Prerequisite: Student must obtain permission from Dr. Mattox. The enrollment is limited to GSBS first-year and second-year students who will pursue the quantitative degree track.
本课程将为即将到来的研究生提供有关现代生物医学科学的广泛概述，跨越历史观点，以实现最先进的方法。该课程结合了传统的教学讲座和互动批判性思维和解决问题的练习，为学生提供基本研究生级别的良好背景，包括遗传学，分子和细胞生物学，生物化学，生理学，发育生物学和生物统计学。这是GSBS核心课程，将分级/失败并与Introduction to Biostatistics and Bioinformatics (GS01 1033)满足定量轨道学生的GSBS广度要求。
- 统计推断II的基础II
Course Detail
GS01 1283(3 credits)
Spring长，詹姆斯。三个学期。春季，每年。评分系统：字母等级。先决条件：大米统计532.允许审核。
这是数学统计学两学期序列的第二学期课程。该课程主题包括随机变量，分布，大小的决策理论和贝叶斯方法定理，假设测试，点估计和置信区间；还将讨论诸如指数族，单变量和多元线性模型以及非参数推断等主题。This course is cross-listed at Rice STAT 533。该课程的场地将在赖斯大学举行。
- 遗传学和人类疾病
Course Detail
GS11 1013（3个学分）
Fall哈尼斯，克雷格。三个学期。每年秋天。评分系统：字母等级。Prerequisite: consent of instructor; general genetics and statistics recommended
本课程介绍了人类遗传分析的原理和方法，特别提及基因对我们疾病负担的贡献。尽管将简要调查由基因控制的分子，生化和形态学过程，但目的是描述分析过程，该过程推断出遗传机制，并位于染色体上的基因。
- 生物信息学简介
Course Detail
GS01 1143 (3 credits)
春天和秋季Chen, Ken
and 尼古拉斯的纳文。三个学分小时。每年秋季和春季。评分系统：字母等级。This course is intended to be an introduction to concepts and methods in bioinformatics with a focus on analyzing data merging from high throughput experimental pipelines such as next-gen sequencing. Students will be exposed to algorithms and software tools involved in various aspects of data processing and biological interpretation. Though some prior programming experience is highly recommended, it is not a requirement.
- Introduction to Biostatistics and Clinical Trials
Course Detail
GS01 1033（3个学分）
SpringYuan，Ying；刘，苏乌。三个学期。春季，每年。评分系统：字母等级。先决条件：微积分和线性代数
本课程是对生物医学研究设计和分析最常使用的统计概念的一学期概述。它为生物医学和流行病学数据的分析提供了介绍。重点是针对一个样本和两个样本问题的非模型解决方案。该课程还包括统计遗传学和生物信息学概念的概述。由于本课程主要是统计专业的，因此应用的方法将与理论有关。学生将获得有关数据分析的一般方法以及适当的统计方法的经验。强调各种形式的分析与报告结果之间的相似性在效果或关联方面。还将重点放在识别统计假设和执行分析以验证这些假设的情况下。由于有效的沟通对于有效的协作至关重要，因此学生将获得为统计上天真的读者提供结果的经验。
- 统计遗传学简介
Course Detail
GS11 1113（3个学分）
FallFu, Yun-Xin. Three semester hours. Fall, annually.评分系统：字母等级。Prerequisite: Consent of instructor.
This course is designed as an introduction to statistical genetics/computational biology, and serves as the entry point to several courses in this area. It reviews the key statistical concepts and methods relevant to statistical genetics, discusses various topics that have significant statistical component in genetics, particularly in population and quantitative genetics. Topics include estimation of gene frequencies, segregation analysis, test of genetic linkage, genetics of quantitative characters, inheritance of complex characters, forensic science and paternity testing, phylogeny and data mining. This course is cross-listed at School of Public Health (PH1986L). The venue will be at School of Public Health.
- 现代非参数
Course Detail
GS01 1273（3个学分）
SpringWei，彭；李，叶珊；和王，简。三个学期。春天，两年一。评分系统：字母等级。先决条件：GS01 1083：数学统计I（或等效）和线性回归或讲师的同意。
This course seeks to introduce students to the many developments in modern
nonparametrics - Quantitative Sciences Student Seminar Series
Course Detail
GS01 1031（1个学分）
Fall李，梁。一个学期。每年秋天。分级系统：通过/失败。先决条件：无。
本系列为学生每两周举行总统ent their research project in front of their peers and program faculty. The focus of the session is for the students to practice presenting their project to a varied audience of peers and mentors. Attendees should be prepared to ask questions of the speaker and to provide constructive criticism. This is arequired course for all QS Program studentsand participation is mandatory.除非学生有直接的课程冲突，否则所有QS学生必须每学期注册本课程。QS-affiliated students are expected to give a minimum of two talks; one pre-candidacy and one post-candidacy, and secondary ARC students are expected to give a minimum of one talk.
- Survival Analysis
Course Detail
GS01 1023（3个学分）
Spring太阳，瑞安；黄，Xuelin。三个学期。春季，奇数年。评分系统：字母等级。先决条件：生物统计学和生物信息学简介（GS01 0033）或教师的许可。
科学研究中通常会遇到生存数据，尤其是在临床试验和流行病学研究中。在本课程中，将讨论用于分析故障时间数据的常用统计方法。主要主题之一是基于审查数据的生存函数的估计，其中包括参数故障时间模型和生存分布的非参数Kaplan-Meier估计。将涵盖累积危害函数的估计和生存数据的假设检验的背景。这些测试包括
日志等级 test, generalized log-rank tests, and some non-ranked based test statistics. Regression analysis for censored survival data is the most applicable to clinical trials and应用 work. The Cox proportional hazard mode, additive risk model, other alternative modeling techniques, and new theoretical and methodological advances in survival analysis will be discussed. - 临床试验的主题
Course Detail
GS01 1813（3个学分）
FallLin, Ruitao. Three semester hours. Fall, even years. Grading System: Letter Grade. Prerequisite: Prior courses in probability and statistics, permission of the instructor.稻米统计630的跨上市课程。
本课程将概述临床试验设计和分析的方法。主题将包括基本原理和II，II和III阶段试验的常用设计。高级主题将包括具有许多常规方法，混合设计，处理多种结果，偏置校正，精密医学和贝叶斯方法的缺陷。