Arts, Sciences, and Engineering Statistics
Course Section Listing Course Course Title Term Credits Status
COURSE_SECTION-3-176829 STAT 277-1 Intro Statistical Software I Fall 2024 4.0 Open
Schedule:
Day Begin End Location Start Date End Date
TR 940 AM 1055 AM Dewey Room 2110D 08/26/2024 12/18/2024
Enrollment: Enrolled     
22 		Capacity     
30
Co-Located: STAT 277-1 (P), STAT 477-1
Instructors: Javier Bautista
Delivery Mode: In-Person
Description: Cross Listed: STAT 277 (P), STAT 477

Prerequisites: STAT 216 or STAT 226W. CROSS LISTED with STAT 477.

Description: The first half of this course covers programming in R, SAS, and JMP. The second half explores the use of this software to understand data from observational studies. The student will learn the philosophy, capabilities, and pitfalls of exploratory data analysis. Univariate, bivariate and multivariate methods will be introduced. Graphical methods will be emphasized, but numerically-oriented procedures such as linear models will be included where appropriate. Each student will analyze a real-life data set in some depth and write a report. Registration priority will be given to Statistics majors who will be taking the course in their senior year. Basic skills with the Windows operating system, a text editor (such as Notepad), and Microsoft Excel is assumed.
Offered: Fall
Course Section Listing Course Course Title Term Credits Status
COURSE_SECTION-3-153399 STAT 277-1 Intro Statistical Software I Fall 2023 4.0 Open
Schedule:
Day Begin End Location Start Date End Date
TR 940 AM 1055 AM Dewey Room 2110D 08/30/2023 12/22/2023
Enrollment: Enrolled     
28 		Capacity     
30
Co-Located: STAT 277-1 (P), STAT 477-1
Instructors: Javier Bautista
Delivery Mode: In-Person
Description: Cross Listed: STT 277 (P), STT 477

Prerequisites: STT 211, STT 212 or STT 213 and STT 216 or STT 226W. CROSS LISTED with STT 477.

Description: The first half of this course covers programming in R, SAS, and JMP. The second half explores the use of this software to understand data from observational studies. The student will learn the philosophy, capabilities, and pitfalls of exploratory data analysis. Univariate, bivariate and multivariate methods will be introduced. Graphical methods will be emphasized, but numerically-oriented procedures such as linear models will be included where appropriate. Each student will analyze a real-life data set in some depth and write a report. Registration priority will be given to Statistics majors who will be taking the course in their senior year. Basic skills with the Windows operating system, a text editor (such as Notepad), and Microsoft Excel is assumed.
Offered: Fall
Course Section Listing Course Course Title Term Credits Status
COURSE_SECTION-3-135707 STAT 277-1 Intro Statistical Software I Fall 2022 4.0 - 0.0 Open
Schedule:
Day Begin End Location Start Date End Date
TR 940 AM 1055 AM Gavett Hall Room 208 08/31/2022 12/22/2022
Enrollment: Enrolled     
23 		Capacity     
45
Co-Located: STAT 277-1 (P), STAT 477-1
Instructors: Javier Bautista
Restrictions: Instructor permission is required for this course. Use the “Request Course Section Prerequisite Override” task found on your academics dashboard under the Planning & Registration section to request this permission.
Description: Cross Listed: STT 277 (P), STT 477

Prerequisites: STT 211, STT 212 or STT 213 and STT 216 or STT 226W. CROSS LISTED with STT 477.

Description: The first half of this course covers programming in R, SAS, and JMP. The second half explores the use of this software to understand data from observational studies. The student will learn the philosophy, capabilities, and pitfalls of exploratory data analysis. Univariate, bivariate and multivariate methods will be introduced. Graphical methods will be emphasized, but numerically-oriented procedures such as linear models will be included where appropriate. Each student will analyze a real-life data set in some depth and write a report. Registration priority will be given to Statistics majors who will be taking the course in their senior year. Basic skills with the Windows operating system, a text editor (such as Notepad), and Microsoft Excel is assumed.
Offered: Fall