B.I.S. 跨学科研究项目图
Data Science Pathway
这个途径提供了统计学和计算机科学的混合. 学生将掌握统计分析和软件开发方面的技能, data exploration, visualization, modeling, 以及模型评估和解释，以解决现实世界的问题. 学生将接触到当代编程语言和基于云的技术，增强数据科学和机器学习能力.
Stats
60
Core Credit Hours
40
Major Credit Hours
20
Elective Credit Hours
- Plan Your Degree
- Crush Your Course
- Find Your Place
- Broaden Your Perspectives
- Connect Off-Campus
- Take Care of Yourself
- Pave Your Path
Plan Your Degree
免责声明:本课程图仅供学生计划学习课程时参考. 它不能取代本科目录中的任何信息, 完成学位要求的官方指南是什么.
| Course Name | Credit Hours |
|---|---|
|
C1: ENGL 1101
English Composition I |
3 |
|
M: MATH 1113
Precalculus |
4 |
|
T3: CS 1300
Intro to Computer Science |
4 |
| I1: Written and Oral Communications | 3 |
Milestones:
- 以C或更好的成绩完成engl1101
- 完成数学1113与C或更好
- 从数学1113学分和CS 1300每个计算为主要选修学分
| Course Name | Credit Hours |
|---|---|
|
C2: ENGL 1102
English Composition II |
3 |
|
F: MATH 1634
Calculus I |
3 |
|
I2: XIDS 2002
(Recommended) First-Year Seminar |
2 |
| T1: Science + Lab | 4 |
| S2: Social Science | 3 |
Milestones:
- 以C或更好的成绩完成engl1102
- 完成数学1634与C或更好
- Complete lab science
14个秋季学分+ 16个春季学分= 30个学分
| Course Name | Credit Hours |
|---|---|
|
P1: HIST 2111 OR 2112
US History |
3 |
|
P2: POLS 1101
American Government |
3 |
|
F: CS 1301
Computer Science I |
4 |
|
F: MATH 2644
Calculus II |
4 |
| A: Humanities | 3 |
Milestone:
- 完成cs1301与B或更好
| Course Name | Credit Hours |
|---|---|
|
S1: HIST 1111 OR 1112
World History |
3 |
|
MATH 4203
Mathematical Probability |
3 |
|
F: MATH 2853
Elementary Linear Algebra |
3 |
|
CS 1302
Computer Science II |
4 |
| A: Humanities | 3 |
Milestones:
- 完成cs1302与B或更好
- 完成BIS学位计划并提交注册官.
17个秋季学分+ 16个春季学分= 33个学分
| Course Name | Credit Hours |
|---|---|
|
MATH 3003
Transition to Advanced Math |
3 |
|
CS 3280
Systems Programming |
3 |
|
Elective
3000/4000 level elective course |
3 |
|
F: XIDS 2000 OR Elective
跨学科研究导论(见下文) |
3 |
| T2: Non-lab Science | 3 |
Milestone:
- Finish core courses.
Note:
- XIDS 2000 is offered in the Spring during even years and in the Fall during odd years.
| Course Name | Credit Hours |
|---|---|
|
MATH 4483
Graph Theory |
3 |
|
CS 3151
数据结构与离散数学1 |
3 |
|
CS 3270
Intelligent Systems |
3 |
|
XIDS 3000
Interdisciplinary Methods |
3 |
|
F: XIDS 2000 OR Elective
跨学科研究导论(见下文) |
3 |
Milestones:
- 与学科导师会面，讨论学位计划和顶点项目
- Submit plan for capstone project
Note:
- XIDS 2000 is offered in the Spring during even years and in the Fall during odd years.
15秋季学时+ 15春季学时= 30学时
| Course Name | Credit Hours |
|---|---|
|
MATH 4213
Mathematical Statistics |
3 |
|
CS 4725
Foundations of Machine Learning |
3 |
|
MATH 4803
Analysis of Variance |
3 |
|
Elective
3000/4000 level elective course |
3 |
| Elective | 3 |
Milestone:
- 在XIDS 3000中完成Capstone提案/计划
| Course Name | Credit Hours |
|---|---|
|
XIDS 4000
Interdisciplinary capstone |
3 |
|
MATH 4813
Regression Analysis |
3 |
| Elective | 3 |
| Elective | 3 |
Milestone:
- 完成Capstone项目，提交到XIDS 4000
15秋季学时+ 12春季学时= 27学时
Crush Your Course
First Year:
- 一定要参加XIDS 2000:跨学科研究导论来开始你的知识, boundary-crossing journey!
- 在你的核心课程中发现你的兴趣. 这些可以帮助你建立你的纪律.
Middle Years:
- 与XIDS 3000的IDS教授一起制定您的学位计划, 包括确定你的复杂问题，并探索如何以及哪些学科可以帮助你的调查.
Last Year:
- 现在是完成XIDS顶点测试的时候了! 确保每门课程都有9个小时的3000-4000级课程!
Find Your Place
First Year:
- Check out 在线博彩’s Academic Transition Programs 参加基础课程(XIDS 2002).
- Explore events, clubs, and organizations available to you! 让你确定的项目和/或学科指导你的搜索.
- Visit the Office of Undergraduate Research.
Middle Years:
- Attend 在线博彩 Scholars’ Day.
- 查看与你的专业相关的大学协会和社区组织.
Last Year:
- 通过指导IDS专业的新生来磨练你的领导技能!
- 考虑竞选一个学生组织的领导职位.
Broaden Your Perspectives
First Year:
- Check out the education abroad office.
Middle Years:
- Consider a study abroad program. Check out students’ stories of their experiences.
Last Year:
- Assess your cultural competency.
- Consider working abroad and research visa regulations.
- Explore practices of creating more inclusive careers.
Connect Off-Campus
First Year:
- Visit Wolves Vote 了解投票程序及登记.
- 考虑为你所在社区的活动或组织做志愿者.
Middle Years:
- 在你的领域完成一次实习.
- 考虑一份暑期或兼职工作.
- 向你所在部门询问与校友建立联系的机会.
Last Year:
- 向你感兴趣的领域的专业人士寻求建议.
- 探索职业见习机会.
Take Care of Yourself
First Year:
- Visit Health Services.
- Get fit! Visit URec to see all your options.
- Visit the 经济教育和金融知识中心.
Middle Years:
- Take a 健身课，爬岩壁，或者加入一个校内团队.
- 考虑一下心理咨询是否适合你: take a mental health screening.
Last Year:
- Explore a farmer’s market for fresh produce.
- Develop a post-graduation exercise plan.
- Explore your loan repayment options 完成你的退出咨询.
Pave Your Path
First Year:
- Complete a 自我评估，看看什么职业和专业 are right for you.
- Visit Career Services.
- Create your profile on Handshake.
- Consider applying for an on-campus job.
Middle Years:
- 起草简历，参加简历招聘会.
- Learn about how to network on social media 并更新你的握手档案.
- Draft your personal statement.
- Visit the graduate school 了解研究生课程和入学要求.
Last Year:
- 要求教授和主管提供推荐信.
- 起草你的简历求职信和个人陈述，并通过职业服务进行修改.
- 参加在线博彩和整个州的商业博览会和招聘会.
- Attend an interview workshop.
- Apply for graduate programs.
Careers
Requirements
Degree Requirements
IDS MAJORS
所有IDS专业的学生都完成了一个XIDS课程序列，通过它他们学习跨学科的概念和方法, 最后是一个反映他们智力和职业兴趣的顶点项目:
- XIDS 2000 -跨学科研究导论
- XIDS 3000 -跨学科方法
- XIDS 4000 -跨学科的顶点
Pathway requirements
Pathway Requirements
Courses in red 获得数据科学证书需要什么
Discipline 1 - Mathematics
基础1000/2000级课程(在F区计算):
- Math 2853 (3 credits)
- Math 2644 (4 credits)
基础课程(6学分):
- Math 3003 Transition to Advanced Math
- Math 4203 Mathematical Probability (prereq: Math 2644)
必修课程(12学分):
- Math 4213 Mathematical Statistics (prereq: Math 4203)
- Math 4803 Analysis of Variance (prereq: Math 4203)
- Math 4813 Regression Analysis (prereq: Math 4203)
- Math 4483 Graph Theory (prereq: Math 3003)
Discipline 2 - Computer Science
基础1000/2000级课程(在F区计算):
- CS 1301 Computer Science I (4 credits) [prereq: Math 1113 (>=C) OR Math 1112 (>= C)]
- CS 1300 Python CS入门(4学分) [no prereqs]
基础课程(4学分):
- CS 1302 Computer Science II (4 credits) [prereq: CS 1301, >= B]
必修课程(13学分):
- CS 3270 Intelligent Systems [prereq: CS 1302 (>= B)]
- CS 3280 Systems Programming [prereq: CS 1302 (>= B)]
- CS 3151 数据结构与离散数学1 [prereq: CS 1302 (>= B)]
- CS 4725 Foundations of Machine Learning [prereq: CS 3270 &
pre/co-requisites MATH 4203]
Suggested Courses
19 credits 其他课程(包括辅修、选修课等.), but must have at least 9 credits from 3000/4000 levels. Here are some suggestions.
Electives:
- Math 4013 Numerical Analysis
- Math 4823 Applied Experimental Design
- Math 4833 在线博彩非参数统计
- Math 4843 Introduction to Sampling
- CS 3152 数据结构与离散数学2
- CS 3211 Software Engineering I
- CS 3230 Information Management
- CS 4225 Distributed and Cloud Computing
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对你的专业有什么问题吗?
Don't forget to check out Wolf Watch to explore degree requirements!