Sheridan Course Outlines

Land Acknowledgement

Sheridan College resides on land that has been, and still is, the traditional territory of several Indigenous nations, including the Anishinaabe, the Haudenosaunee Confederacy, the Wendat, and the Mississaugas of the Credit First Nation. We recognize this territory is covered by the Dish with One Spoon treaty and the Two Row Wampum treaty, which emphasize the importance of joint stewardship, peace, and respectful relationships.

As an institution of higher learning Sheridan embraces the critical role that education must play in facilitating real transformational change. We continue our collective efforts to recognize Canada's colonial history and to take steps to meaningful Truth and Reconciliation.

Section I: Administrative Information

Total hours: 24.0
Credit Value: 0.0
Credit Value Notes: N/A
Effective: Fall 2018
Prerequisites: N/A
Corequisites: N/A
Equivalents: N/A
Pre/Co/Equiv Notes: N/A

Program(s): SAS Base Programming
Program Coordinator(s): N/A
Course Leader or Contact: N/A
Version: 20180904_00
Status: Approved (APPR)

Section I Notes: N/A

Section II: Course Details

Detailed Description
This course is the entry-point to learning SAS programming. Navigate SAS Studio, Enterprise Guide and Windowing environments. Working with different datasets, students will learn how to combine datasets, create SAS variables and data subsets.

Program Context

SAS Base Programming	Program Coordinator(s): N/A
This is the first course of the program. It will introduce students to Base SAS and its different environments.

Course Critical Performance and Learning Outcomes

	Critical Performance:
	Students will have demonstrated the ability to create SAS programs using basic concepts.

	Learning Outcomes: To achieve the critical performance, students will have demonstrated the ability to:
	Navigate the SAS Studio programming environment Navigate the SAS Enterprise Guide programming environment Navigate the SAS windowing environment Read various types of data into SAS data sets Create SAS variables and subset data Combine SAS data sets Create and enhance listing and summary reports.

Evaluation Plan
Students demonstrate their learning in the following ways:

Evaluation Plan: IN-CLASS

	In-Class Assignments/Quizzes	100.0%
	Total	100.0%

Provincial Context
The course meets the following Ministry of Colleges and Universities requirements:

Prior Learning Assessment and Recognition
PLAR Contact (if course is PLAR-eligible) - Office of the Registrar

Not Eligible for PLAR

Section III: Topical Outline

Some details of this outline may change as a result of circumstances such as weather cancellations, College and student activities, and class timetabling.
Instruction Mode: In-Class
Professor: N/A
Resource(s): N/A
Applicable student group(s): Continuing and Professional Studies students.
Course Details:

Introduction

overview of SAS Foundation
course logistics
course data files

SAS Programs

introduction to SAS programs
submitting a SAS program
SAS program syntax

Accessing Data

examining SAS data sets
accessing SAS libraries

Producing Detail Reports

subsetting report data
sorting and grouping report data
enhancing reports

Formatting Data Values

using SAS formats
creating user-defined formats

Reading SAS Data Sets

reading a SAS data set
customizing a SAS data set

Reading Spreadsheet and Database Data

reading spreadsheet data
reading database data

Reading Raw Data Files

introduction to reading raw data files
reading standard delimited data
reading nonstandard delimited data
handling missing data

Manipulating Data

using SAS functions
conditional processing

Combining Data Sets

concatenating data sets
merging data sets one-to-one
merging data sets one-to-many
merging data sets with nonmatches

Creating Summary Reports

using the FREQ procedure
using the MEANS and UNIVARIATE procedures
using the Output Delivery System

Sheridan Policies

It is recommended that students read the following policies in relation to course outlines:

Academic Integrity
Copyright
Intellectual Property
Respectful Behaviour
Accessible Learning

All Sheridan policies can be viewed on the Sheridan policy website.

Appropriate use of generative Artificial Intelligence tools: In alignment with Sheridan's Academic Integrity Policy, students should consult with their professors and/or refer to evaluation instructions regarding the appropriate use, or prohibition, of generative Artificial Intelligence (AI) tools for coursework. Turnitin AI detection software may be used by faculty members to screen assignment submissions or exams for unauthorized use of artificial intelligence.

Course Outline Changes: The information contained in this Course Outline including but not limited to faculty and program information and course description is subject to change without notice. Nothing in this Course Outline should be viewed as a representation, offer and/or warranty. Students are responsible for reading the Important Notice and Disclaimer which applies to Programs and Courses.

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