Course Syllabus Page 1 CS 6301.021 – Statistics For Data Sciences Course Information Course Number/Section CS6301.021 Course Title Statistics For Data Sciences Term Fall 2014 Days & Times MW 8:30 – 9:45am Location CN 1.120 Professor Contact Information Instructor Dr Bill Semper E-Mail [email protected] Office hours Tues 4:00 – 6:00 pm Phone 972-883-4139 Website www.utdallas.edu/~wjs130130/ Course Pre-requisites, Co-requisites, and/or Other Restrictions: Prerequisites: CS/SE/STAT 3341 or equivalent. Course Description Introduction to statistics, including simple descriptive statistics and graphical statistics. Statistical inference, including parameter estimation, confidence intervals, and hypothesis testing. Chi-square tests, nonparametric statistics, Bootstrap, and Bayesian Inference. Regression Analysis, including Least squares estimation, analysis of variance, ANOVA, and multivariate regression. Student Learning Objectives/Outcomes Students will learn the basics of statistical analysis and be able to apply the fundamental methods of sampling, interval estimation, hypothesis testing, and regression analysis. Required Textbooks and Materials Text: Probability and Statistics for Computer Scientists by M. Baron, CRC Press (2007) or second edition (2013), ISBN 1584886412 or 1439875901.Course Syllabus Page 2 Assignments & Academic Calendar: These descriptions and timelines are subject to change at the discretion of the Professor. Date Topic August 25 Classes Begin October 13 Mid-Term Exam TBD Final Exam Grading Policy HW, Project Assignments 30% Mid-Term 35% Final 35% Grading will be on a curve, although it is the opinion of the instructor that there is a certain minimum set of knowledge which you must demonstrate to be considered proficient in the subject. The curve takes into account problems in measurement and will not be decided until all grades are in. Your midterm grade will have a limited number of data points and may or may not be an accurate reflection of your final grade, just your proficiency up to that point. The base grading scale given below may be adjusted based upon the performance of the class as a whole: 100-92 A 91-90, A- 89-88, B+ 87-82, B 81-80, B- 79-78, C+ 77-72, C 71-70, C- For detailed information about University policies and procedures related to this syllabus, please refer to
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