No Credit Course Descriptions


Method of lecture delivery is streamed video. For additional details regarding courses, please contact Dr. Anderson. These courses are intended for students beginning the Master of Applied Statistics (MAS) program or the Certificate in Applied Statistics, but may be taken by any student needing the indicated background.

GSLL 3095 Math Skills for Statistical Analysis (MSSA)

Intensive review of mathematical methods that will be used in the MAS program, including but not limited to differential and integral calculus, chain rule, l'Hôpital's rule, integration by parts, Taylor's theorem, multiple integrals, sequences and series, limits, linear algebra, matrix theory. Not for credit. Course will be offered during Sub-term 1 of the MAS (during the 8-week Summer term for online students).

Textbook: No formal text is required; however, students should have access to texts on multivariate calculus and linear algebra for reference. There will be a handout given for each topic, available to print from RamCT.  If you do wish to purchase a text, you may want to consider the Schaum's outlines for these topics:

Schaum’s Outline of Linear Algebra, 5th Edition. ISBN-13: 978-0071794565
Schaum’s Outline of Calculus, 6th Edition. ISBN-13: 978-0071795531

Don't spend a lot of money. We want to emphasize that any standard calculus and linear algebra texts will suffice. 

Computer Software: None required.

Notes:

  1. Although required for the MAS program, this is a noncredit course. Grades are not issued for noncredit courses. Noncredit courses do not appear on Colorado State University academic transcripts and are not eligible for financial aid. However, the Statistics Department will provide a 'letter of completion' upon request to students who can demonstrate that they have completed all course components. Students who are seeking reimbursement for tuition should check with their employer before registering for this course.
  2. This course is intended to be a review of the math skills needed for the MAS program, delivered in a statistical context. Before taking this class, students should have already taken courses in single- and multi-variable calculus and linear algebra.
  3. At the end of this course, students will be given a proctored 'final exam'. The exam is graded, but the grade only serves the purpose of informing students of their preparedness for the MAS or Certificate in Applied Statistics coursework. Students will need to secure an approved proctor for the exam.

To register for this course, click here



GSLL 3096 Computing Skills for Statistical Analysis (CSSA)

Software packages, graphics and programming using R, SAS and other popular packages; review of introductory statistics. Not for credit. Course will be offered during Sub-term 1 of the MAS (the 8-week Summer term for online students), as well as Sub-term 4 of the MAS (the first 8 weeks of the Spring semester).

Textbook: No textbook required. Students will download a free manual to use for R computing.

Computer Software: R (available as free download) and SAS (available by purchasing a discounted SAS license through CSU or as a free online tool using SAS OnDemand). Students will be given instructions on obtaining computer software when the course begins and are encouraged to wait for those instructions before trying to obtain the software.

Note: Although required for the MAS program, this is a noncredit course. Grades are not issued for noncredit courses. Noncredit courses do not appear on Colorado State University academic transcripts and are not eligible for financial aid. However, the Statistics Department will provide a 'letter of completion' upon request to students who can demonstrate that they have completed all course components. Students who are seeking reimbursement for tuition should check with their employer before registering for this course.

To register for this course, click here

 

Contact the Statistics Department Online Learning Program Office:

Phone: (970) 491-5268

Fax: (970) 491-1084

Email: stats_ddp@mail.colostate.edu

Follow us on Twitter: @CSUSTATDistance

Mailing Address:
Distance Learning Office
Statistics Department
Colorado State University
1877 Campus Delivery
Fort Collins, CO 80523-1877

 

Jana Anderson, Director of Online Learning