Department of Architecture, Engineering, & Technology West Campus Building 9 room 140 – 407.582.1902 EGN 2440 – Probability & Statistics for Engineers Probability and Statistics for Engineers and Sciences, 8th Ed., Jay L. Devore Textbook: Textbook ISBN-10: 0-538-73352-7 Textbook ISBN-13: 978-0-538-73352-6 Instructor: Prof. M. Kar Office: West Campus, Bldg. 11 – Room 259 Phones: (Office) 407-582-1182 Email: mkar@valenciacollege.edu Office Hours: Monday / Tuesday/ Wednesday/ Thursday: 9:00 AM to 10:00 AM Tuesday / Thursday: 1:00 PM to 1:30 PM Monday / Wednesday: 11:30AM to 1:00 PM Friday: 9 AM to 11:00 AM (on-line) Tuesday: 8 PM to 9 PM (on-line) MAC 2312 – With a grade of C or better. Prerequisite: Course Objectives: Topics include axioms of probability, measures of location and dispersion, sampling and sampling distributions, estimations and tests of hypotheses, probability distributions, combinatorial and geometrical probability, and engineering applications Grading Policy: In-class-activity Quizzes1 Tests 1-31 Final2 Total 1 2 Disclaimer: 5% 10% 60% 25% 100% 90 - 100% 80 - 89% 70 – 79% 60 - 69% below 60% = = = = = A B C D F No make-up tests and quizzes will be given. Final Exam may be comprehensive. Changes in syllabus and/or schedule may be made at any time during the term by announcement from the instructor Notes: Students are strongly encouraged to try the provided list of recommended problems. This selection may not give you sufficient practice. Consider your own level of understanding, and practice additional problems as needed. Even though most of the course material is from the textbook, the lectures may or may not necessarily follow the text word-by-word. Therefore, it is the student’s responsibility to be in class and take notes. Exams will cover all material covered in class, Assignments and recommended problems. Course Outcomes: The student will be able to: present graphical and numerical methods for exploring, summarizing, and describing data understand probability concepts and recognize how they should be applied to solve engineering problems. learn the fundamentals of discrete random variables, its probability distribution, and corresponding numerical descriptive measures and how they can be used to solve practical problems distinguish between continuous and discrete random variables and their respective probability distributions; to apply some useful continuous probability distributions to solve practical problems learn various concepts and analysis of probability distributions and sampling distributions learn concepts of statistical estimation, their use in practical samplings involving one sample learn concepts of a statistical test of a hypothesis and their use in practical sampling situations learn the basic concepts of simple linear regression analysis predicting future situations based upon the known variables/parameters Important Dates: Monday, Jan. 19th Feb 13th March 9th – 15th Friday, March 27th April 27th to 30th May 4th College is closed College is closed Spring Break Withdrawal deadline for “W” Grade Final Exam Grades are due Tests: Test#1 Test#2 Test#3 Chapters 1 and 2 Chapters 3 and 4 Chapters 5, 6, and 7 Test/Quiz policy: 1. Circle all test answers for credit. Show all your work for full grade. Simply written down answers will not be given any credits and receive a grade of “0” (zero). 2. All tests and quizzes are closed book and closed notes. 3. There is no “dropped” test score. 4. No Make-up for tests/quizzes. (unless special circumstances as agreed to by Instructor). 5. Missing 2 tests will result in withdrawal. 6. The Final Exam is required. Failing to take the final exam will result in overall grade “F”. Quizzes: Quizzes (15 min.) will be given at the beginning of the class. You'll miss the quiz if you come late. Check the class schedule for the tentative dates. Assignments will not be graded (posted in BlackBoard) and solution will be posted in BlackBoard. Class Room Policies: 1. More than three un-excused absences and you may be withdrawn from the class (advance notice of absence is appreciated) 2. It is the student’s responsibility to find out what was covered in class if absent. 3. It is the student’s responsibility to withdraw from the course. Any withdrawal after the withdraw deadline could result in “F”. 4. You are encouraged to ask relevant questions during class. 5. Grades will not be disclosed over the telephone or via e-mail, except through your Atlas account. 6. This course is not about your ability to use a calculator! It is about to excel and improve your abilities to correctly and properly think, analyze, process, and solve real problems as a future engineer. 7. Storing formulas, problems, notes, etc. in the calculator is considered cheating. The professor reserves the right to inspect the memory of the student’s calculator at any time during the semester. If inappropriate information is found stored in the calculator during a quiz/exam, the student will receive a grade of “F” for that particular quiz/exam. 8. Cheating is prohibited. If any student is caught cheating, the Instructor has the right to withdraw the student from the class and recommend expulsion from the program. 9. Classroom behavior will be governed by the “Student Code of Classroom Conduct”. 10. Students with disabilities who qualify for academic accommodations must provide a letter from the Office for Students with Disabilities and discuss specific needs with the Instructor, preferably during first 2 weeks of class. The OSD office determines accommodations based on appropriate documentation of disabilities (SSB-102 ext. 1523). 11. Beepers and cellular phones must be turned OFF or put on silent mode during the class. Class schedule: The following is a tentative schedule based upon class needs. The Instructor reserves the right to make any schedule changes necessary. Date 01/13/15 01/15/15 01/20/15 01/22/15 01/27/15 01/29/15 02/03/15 02/05/15 02/10/15 02/12/15 02/17/15 02/19/15 02/24/15 02/26/15 03/03/15 03/05/15 03/17/15 03/19/15 03/24/15 03/26/15 03/31/15 04/02/15 04/07/15 04/09/15 04/14/15 04/16/15 04/21/15 04/23/15 04/30/15 Lecture on Chapter 1 Chapter 1 Chapter 2 Chapter 2 Chapter 2 Chapter 2 Chapter 2 Chapter 3 Chapter 3 Chapter 3 Chapter 4 Chapter 4 Chapter 4 Chapter 4 Chapter 5 Chapter 5 Chapter 6 Chapter 7 Chapter 7 Chapter 7 Chapter 8 Chapter 8 Chapter 8 Chapter 9 Chapter 9 Quiz / Test Quiz / Activity Quiz / Activity Quiz / Activity Quiz / Activity Quiz / Activity Quiz / Activity Test # 1 Quiz / Activity Quiz / Activity Quiz / Activity Quiz / Activity Quiz / Activity Quiz / Activity Quiz / Activity Test # 2 Quiz / Activity Quiz / Activity Quiz / Activity Quiz / Activity Quiz / Activity Test # 3 Quiz / Activity Quiz / Activity Quiz / Activity Quiz / Activity Quiz / Activity Final Exam