ClassInfo

CSC 433 Scripting for Data Analysis

Steve Jost

Office: CDM 744
Spring 2012-2013
Class number: 36243
Section number: 910
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Online Campus

Summary

Data access and transformation with modern statistical software such as SAS and R. Report wrting, data graphing and visualization, writing macros and functions to automate tasks and analyses.



Texts

Cody and Smith, Applied Statistics and the SAS Programming Language, Pearson Prentice Hall, 2006.
Step-by-Step Programming with Base SAS? Software at (http://support.sas.com/documentation/onlinedoc/91pdf/sasdoc_913/base_step_10071.pdf)
R Cookbook http://shop.oreilly.com/product/9780596809164.do
Other online materials.


Grading

Grading Scale: 94-100: A; 89-93: A-: 85-88: B+; 80-84: B; 75-79: B-; 70-74: C+; 65-69: C; 60-64: C-; 55-59: D+; 50-54: D; 0-49: F.
Grading Breakdown: Homework Projects: 45%; Takehome Midterm: 15%; Takehome Final: 15%; Proctored Final Exam: 25%.
Late penalties for projects: The late penalties are: up to one week late: 10%, one to two weeks late: 30%, two to three weeks late: 70%, three or more weeks late: 100%. Late penalties for projects: The late penalties are: up to one week late: 10%, one to two weeks late: 30%, two to three weeks late: 70%, three or more weeks late: 100%. A 15% resubmit penalty will be assessed for resubmitted assignments. Resubmitted assignments are subject to the above late penalties.



Prerequisites

IT 223 or other first statistics course. Knowledge of SAS or R is not assumed.


Other Regulations

Class registration is not allowed after the first week of class.
Students must keep backup copies of all submitted assignments.
Extra credit assignments are not given.
No late assignments will be accepted after final grades are submitted to the registrar.
An incomplete is hard to get in CDM. It is only allowed for a major illness (typically requiring hospitalization) or a death in the family. In any case documentation is required, and more than one half of the work must be completed for the course.
Students must test homework projects that are submitted on the CDM Course Online Submission Site to verify that they are properly submitted. Submitting a wrong version of an assignment is not a valid reason to waive the late penalty.
If you have trouble submitting any project, email the completed project to the professor to prove that you completed it on time.
Students wishing to reschedule the exam must contact the professor at least one week in advance.
Submitting a wrong version is not a reason to waive a late penalty for a project.


Week 1. Course overview. Intro to Base SAS. Inputting data, informats. Data transformation and manipulation. Missing values. Error detection and correction.

Control structures (if, do, select). Modifying and combining SAS datasets. Permanent SAS datasets. SAS graphics and data visualization. Proc sql. Indexed datasets. Report writing. SAS Macro applications. Post takehome midterm. Introduction to R language. R datatypes. Structured programming. User defined R functions. R packages. Simulations. R graphics and data visualization. Parallel R, split-apply-combine (SAC) procedures, (e.g. apply() functions and plyr()package) Optional Topics. Final exam in Week 11.

School policies:

Changes to Syllabus

This syllabus is subject to change as necessary during the quarter. If a change occurs, it will be thoroughly addressed during class, posted under Announcements in D2L and sent via email.

Online Course Evaluations

Evaluations are a way for students to provide valuable feedback regarding their instructor and the course. Detailed feedback will enable the instructor to continuously tailor teaching methods and course content to meet the learning goals of the course and the academic needs of the students. They are a requirement of the course and are key to continue to provide you with the highest quality of teaching. The evaluations are anonymous; the instructor and administration do not track who entered what responses. A program is used to check if the student completed the evaluations, but the evaluation is completely separate from the student’s identity. Since 100% participation is our goal, students are sent periodic reminders over three weeks. Students do not receive reminders once they complete the evaluation. Students complete the evaluation online in CampusConnect.

Academic Integrity and Plagiarism

This course will be subject to the university's academic integrity policy. More information can be found at http://academicintegrity.depaul.edu/ If you have any questions be sure to consult with your professor.

All students are expected to abide by the University's Academic Integrity Policy which prohibits cheating and other misconduct in student coursework. Publicly sharing or posting online any prior or current materials from this course (including exam questions or answers), is considered to be providing unauthorized assistance prohibited by the policy. Both students who share/post and students who access or use such materials are considered to be cheating under the Policy and will be subject to sanctions for violations of Academic Integrity.

Academic Policies

All students are required to manage their class schedules each term in accordance with the deadlines for enrolling and withdrawing as indicated in the University Academic Calendar. Information on enrollment, withdrawal, grading and incompletes can be found at http://www.cdm.depaul.edu/Current%20Students/Pages/PoliciesandProcedures.aspx.

Students with Disabilities

Students who feel they may need an accommodation based on the impact of a disability should contact the instructor privately to discuss their specific needs. All discussions will remain confidential.
To ensure that you receive the most appropriate accommodation based on your needs, contact the instructor as early as possible in the quarter (preferably within the first week of class), and make sure that you have contacted the Center for Students with Disabilities (CSD) at:
Lewis Center 1420, 25 East Jackson Blvd.
Phone number: (312)362-8002
Fax: (312)362-6544
TTY: (773)325.7296