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Summer 2017 Basic Engineering Probability Statistics ENGRD 2700 ENGRD 2700 Syllabus Instructor Email O ce O ce hours David Eckman dje88 cornell edu Rhodes Hall 294 Time and room to be announced TA Email TA O ce hours Wednesday 3 00 5 00pm and Friday 9 00 11 00am Malott Hall 218 Jose Bastidas Olaya jdb394 cornell edu Lectures Recitations Blackboard Monday Tuesday Wednesday Thursday Friday 1 00 2 15pm Phillips Hall 213 Tuesday 3 00 4 15pm Rhodes Hall 571 ENGRD 2700 Basic Engr Probability Stats Eckman D 1 Course Goals Intended outcomes and society The course will introduce students to probability and statistics and their application to engineering Topics include random variables probability distributions expectation point and interval estimation hypothesis testing and regression Understand the breadth of decision situations with uncertainty that arise in engineering industry Learn methods of probability modeling and data analysis Develop the skills needed for extracting information from data in real world decision situations Promote critic thinking skills when it comes to interpreting reported statistics Build familiarity with current software used for statistical inference and data analysis 2 Course Logistics Prerequisites MATH 1910 Calculus and MATH 1920 Multivariate Calculus with a corequisite of MATH 2940 Linear Algebra Essentially you should be comfortable with doing basic algebra as well as di erentiating and integrating single and multi variable functions Course website Blackboard The Blackboard site will contain all the information for this course including this syllabus lecture notes homework assignments and solutions and your grades Make sure that you are enrolled on the course Blackboard site and that you check the site regularly for announcements Textbook There is no required textbook for this course There are however a couple of textbooks recommended for reinforcing the material Walpole R E Myers R H Myers S L Ye K 2011 Probability and Statistics for Engineers and Scientists 9th Edition 1 Summer 2017 Basic Engineering Probability Statistics ENGRD 2700 Devore J L 2015 Probability and Statistics for Engineering and the Sciences 9th Edition Copies of each textbook are available on reserve at Uris Library Handouts There will be a series of handouts available on the Blackboard site that cover the core content of this class Typically the handouts will be uploaded a few days in advance and you are encouraged to print them out so that you can follow along and ll them out during the lectures 3 Academic Integrity Each student in this class is expected to abide by the Cornell University Code of Academic Integrity http cuinfo cornell edu aic cfm Any violation will be penalized In particular any use of or upload to the website Coursehero or similar will be treated as an academic code violation Any work submitted by a student in this course for academic credit will be the student s own work If students use other sources they must be cited Students are allowed to use the recommended textbooks to help with their homework assignments As far as online resources go Wikipedia pages and websites speci cally recommended in class are the only online resources permitted 4 Assessment Course grades will be based on completion of the course evaluation participation homework assignments two prelim exams and one nal exam Course Evaluation Participation Homework Preliminary Exams Final Exam Total 1 4 25 40 30 100 Participation includes not only attendance in lectures recitations but also asking or answering questions whether in class or outside of class 4 1 Participation 4 2 Homework Collaboration For homework assignments you are allowed to collaborate with at most one other student If you choose to do so you should submit one copy with both of your names on it Submitting Homework There will be roughly nine homework assignments Please be sure to write your name staple your homework and be neat Each assignment will be due in class at the end of lecture 2 15pm There will be no late homework accepted for grading Instead your lowest homework grade will be dropped Grading When writing your homework be sure to show your reasoning Correct and well written reasoning is as important as a correct solution Graded homework will be returned in class and solutions will be posted on the Blackboard site If you have questions about the grading please discuss it with the TA rst 2 Summer 2017 Basic Engineering Probability Statistics ENGRD 2700 4 3 Exams There are two preliminary exams tentatively scheduled for Wednesday July 12th and Wednesday July 26th with the room and time to be announced The 40 weight on the two prelims is split with 30 coming from your higher prelim score and 10 from your lower prelim score This is meant to bene t you should you have a bad test day If you cannot make it to one of the prelims for good reason e g serious illness family emergency you must inform me as soon as possible and provide proof In that case the 10 weight that would have come from that prelim will be reallocated to the nal exam That is the other prelim would still count as 30 of your grade and the nal exam would now count as 40 The nal exam date will be Tuesday August 8th 1 30 4 00pm in a room to be assigned The nal exam will be cumulative with a slight emphasis on the later material 3 Summer 2017 Basic Engineering Probability Statistics ENGRD 2700 The following is a tentative schedule Week Week 1 Date Lecture Recitation 6 26 Lecture 1 Introduction Motivation 6 27 Lecture 2 Exploratory Data Analysis Recitation 1 Exploratory Data Analysis in R Lecture 6 Random Variables 6 28 Lecture 3 Counting and Probability 6 29 Lecture 4 Probability Models 6 30 Lecture 5 Conditional Probability Independence 7 3 7 4 Holiday No Class 7 5 Lecture 7 Special Discrete Random Variables Recitation 2 Problems on Probability tentative Lecture 8 Continuous Random Variables 7 6 7 7 Lecture 9 Special Continuous Random Variables 7 10 Lecture 10 Multiple Discrete Random Variables 7 11 In Class Review Recitation 3 Problems on Random Variables 7 12 Prelim 1 7 13 Lecture 11 Multiple Continuous Random Variables 7 14 Lecture 12 Covariance and Correlation 7 17 Lecture 13 Sampling Distributions 7 18 Lecture 14 Point Estimation Recitation 4 Problems on Multivariate Distributions 7 19 Lecture 15 Interval Estimation I 7 20 Lecture 16 Interval Estimation II 7 21 Lecture 17 Interval Estimation III 7 24 Lecture 18 Hypothesis Tests I 7 25 In Class Review Recitation 5

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