CSC 423 Data Analysis and Regression
Summary
CSC 423 is a course on multiple regression modeling and other statistical methods. Course learning goals include:
- teach students to perform data analyses using statistical software,
- enable students to be informed and critical readers of quantitative arguments,
- understand the role of statistics in scientific and business applications,
- gain flexible statistical problem-solving skills applicable to a variety of settings.
Texts
Mendenhall and Sincich, Second Course in Regression Analysis, 7th Edition, Prentice Hall/Pearson, 2012.
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: 40; Group Final Project: 30; In-class Final Exam: 30.
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 also subject to the above late penalties.
Prerequisites
IT 403 or another first statistics course.
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 that must miss an exam must contact the professor before the exam date to reschedule the exam.
If a student misses an exam without first contacting the professor, that exam can only made up if the following three conditions are met: (1) a late penalty is charged for the exam, (2) the student has a valid reason for missing the exam, with appropriate documentation, (3) the student has attended at least 70% of the class sessions before the exam.
Submitting a wrong version is not a reason to waive a late penalty for a project.
Day 1: Course overview and prereqs, univariate descriptive statistics, exploratory data analysis. Introduction to SAS and R. Sections 1.1-1.9.
Day 2: Review of z- and t-tests. Two sample tests. LAB: SAS and R for univariate data analysis. Sections 1.9-1.11.
Day 3: Correlation, simple linear regression, goodness-of-fit tests, residual analysis. analysis. Chapters 2 and 3
Day 4: Multiple regression, variable transformations, dummy variables. Chapters 4 and 5. LAB: SAS and R for regression analysis.
Day 5: Polynomial regression models, interactions, influence points, collinarity, test for autocorrelation. Chapters 7 and 8.
Day 6: Dummy Variables, ANOVA, model building, model selection algorithms. Chapter 5 and 6.
Day 7: Categorical Data Analysis, log-linear models, logistic regression, generalized linear models. Section 9.6.
Day 8: Take Final Exam.
Section 9.6.
Day 10: Case Studies. Discuss and answer questions about final projects.
Day 10: Present group final projects.
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.
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.
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.
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 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