IT403_Fall2017_Syllabus.docx

IT403_Fall2017_Syllabus.docx - IT403 Data Analysis Fall...

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IT403 Data Analysis Fall 2016/2017 Course Syllabus Instructor Prof. Mopé Adelakun (Adé-la-koon) Office: Rm 430 - CDM Building, Email: [email protected], Tel. 312-362-6772. Meeting time: T/TH, 5:45 to 9:00pm Office Hour/Contact Hours : Thursdays at 4:00 – 5:30pm or by appointment Course website : Summary of Course The aim of the course is to illustrate statistical and data analysis methods and basic concepts of probability theory. The course topics include descriptive statistics, data visualization, an introduction to statistical inference (confidence intervals and hypothesis testing), analysis of two- way tables and linear regression models. The students will learn the statistical package SPSS and use it to compute statistical analyses of data sets from real-world applications. The objectives of this course are: to develop an understanding of the basic concepts of probability and statistics, to help students to be informed and critical readers of quantitative arguments, to provide sufficient skills to apply simple statistical techniques with the aid of a computer, to appreciate the role of statistics in empirical research and scientific study, to gain flexible problem-solving skills applicable to unfamiliar statistical settings. Prerequisites : Students are expected to understand basic mathematical notation and be familiar with college algebra concepts. See this link for a good online tutorial: Required Textbook and Printed Resources : Introduction to the Practice of Statistics, Eighth Edition, by D.S. Moore, G.P. McCabe and B. Craig. (NOTE: Previous editions of the book are fine) An excellent online resource is the free statistics book at Notes and tutorials about SPSS will be posted at the course website. It is the 1
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student’s responsibility to download and be familiar with all the course documents and notes posted at the course website Statistical package The statistical package used in this course is SPSS and is available in all DePaul labs. You can access SPSS remotely by using our CDM terminals (suitable for fast connections). More information about the software is posted on the course website. Grading Policy. The final grade has the following components: Discussion forum participation (5%): For each module, students will be asked to discuss a topic related to the module content. Online quizzes (10%): The quizzes will be posted on D2L ( ). Students are allowed to retake the same quiz a certain number of times, and therefore learn from their mistakes. Through this exercise, students will be able to test their understanding of the module topic.
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