STAT 130
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Introduction to the Department of Statistics
Statistics
College of Computational, Mathematical, & Physical Sciences
Course Description
A review of the different major/emphasis options, class planning, and information on department resources.
When Taught
Fall Term 1; Fall Term 2; Winter Term 1; Winter Term 2.
Min
0.5
Fixed/Max
0.5
Fixed
1
Fixed
0
Other Prerequisites
This class must be taken before or concurrently with Stat 123, Stat 230, Stat 240.
Recommended
Stat 121
Note
This class should be taken the first semester as a freshman or the first semester after declaring as a statistics or actuarial science major.
Title
Understanding Major/Emphasis Options
Learning Outcome
Students will be able to identify and compare the different major and emphasis options available within the department, understanding the unique focus and career opportunities each offers.
Title
Develop Effective Class Planning Skills
Learning Outcome
Students will learn how to create a comprehensive graduation plan that aligns with their academic and career goals, including selecting appropriate courses and managing their academic schedule.
Title
Utilize Department Resources
Learning Outcome
Students will gain knowledge about the various resources provided by the department, such as advising services, academic support, and extracurricular opportunities, and learn how to effectively utilize them to enhance their educational experience.
Title
Internships and Research
Learning Outcome
Students will know how to search and obtain academic internships, department employment, and research opportunities.
Title
Integrate Department Resources in Academic Planning
Learning Outcome
Students will demonstrate the ability to incorporate department resources into their academic planning process, ensuring they are fully supported throughout their academic journey and are making informed decisions.
Title
Develop a Tailored Resume
Learning Outcome
Students will create a tailored resume that effectively communicates their proficiency in statistical analysis, software, and programming skills to potential employers.
