IME 460/660:
INFORMATION AND POLICIES
Instructor Information | Course Description | Course Policies | Course Outline
INSTRUCTOR INFORMATION:
OFFICE: 202F CIE
EMAIL: canan_bilen_green@ndsu.nodak.edu
PHONE: (701) 231-7040-Office
PHONE: (701) 293-7847-Home
OFFICE HOURS: MWR 10:00-12:00 am or by appointment
COURSE DESCRIPTION:
Course provides a solid introduction to concepts and methods in engineering statistics.Topics include descriptive statistics, probability, random variables, probability
distributions, sampling distributions, inferential statistics,
simple and linear regression, and analysis of variance.
Practical examples will be used as to illustrate concepts.
TIME: MWF 9:00-9:50 AM
PLACE: CME AUD
TEXTBOOK: Miller & Freund's Probability & Statistics for Engineers,
Richard A. Johnson, Prentice Hall, Sixth Edition 2000.
PREQUISITES: MATH 166
Instructor Information | Course Description | Course Policies | Course Outline
COURSE POLICIES:
GRADING
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Letter grades: 90-100 = A; 80-89 = B; 70-79 = C; 60-69 = D; <60 = F;
Grade thresholds may be lowered at the discretion of the instructor.
HOMEWORK
Homework will be assigned on a weekly basis. Completed assignments should be turnedin the beginning of class on the due date. Please feel free to discuss course topics and
assignments. However, each student must complete his or her own work individually.
Plagiarism will not be tolerated. Please work neatly, show all your work,
and clearly indicate all answers. Late homework will be accepted up to one week
after the due date. Late assignments will receive a maximum grade of 50%.
Some homework will be discussed in class. Homework solutions will be posted
on the class web shortly after assignment collection. Typically,
selected problems will be graded from each assignment.
EXAMS
Exams will emphasize class material and homework exercises. Exams will not be a regurgitationof class material. Rather, students are expected to apply concepts, techniques,
and methods to new situations. Students must take exams at scheduled time.
If you miss a test without either a certified medical excuse or prior
instructor approval, you may take a makeup test at a designated time
near the end of the semester. Only one makeup test will be given.
It will be fair but challenging. Tests with certified medical excuses
or prior instructor approval will be dealt with individually.
Instructor Information | Course Description | Course Policies | Course Outline
COURSE OUTLINE
| Session | Date | - | Topic | HW Due | Reading | |
| 1 | 29-Aug | W | Introduction | Give 1st | 1.1-1.6 | |
| 2 | 31-Aug | F | Graphical displays | HW1 | 2.1-2.4 | |
| 3 | 3-Sep | M | Labor Day Holiday--No Class | - | - | |
| 4 | 5-Sep | W | Descriptive measures | - | 2.5-2.8 | |
| 5 | 7-Sep | F | Population, sample, types of data, data collection | HW2 | - | |
| 6 | 10-Sep | M | Random experiment, sample space, outcome | - | 3.1 | |
| 7 | 12-Sep | W | Counting rules | - | 3.2 | |
| 8 | 14-Sep | F | Probability Axioms | HW3 | 3.3-3.4 | |
| 9 | 17-Sep | M | Additive and Multiplicative rules | - | 3.5 | |
| 10 | 19-Sep | W | Conditional probability, independence | - | 3.6 | |
| 11 | 21-Sep | F | Bayes' Theorem | HW4 | 3.7 | |
| 12 | 24-Sep | M | Mathematical Expectation | - | 3.8 | |
| 13 | 26-Sep | W | TEST I | - | - | |
| 14 | 28-Sep | F | Random variables | HW5 | 4.1 | |
| 15 | 1-Oct | M | Mean and variance of random variables | - | 4.4 | |
| 16 | 3-Oct | W | Binomial distribution | - | 4.2 | |
| 17 | 5-Oct | F | Hypergeometric distribution | HW6 | 4.3 | |
| 18 | 8-Oct | M | Poisson distribution | - | 4.6-4.7 | |
| 19 | 10-Oct | W | Continuous random variables | - | 5.1 | |
| 20 | 12-Oct | F | Normal distribution | HW7 | 5.2 | |
| 21 | 15-Oct | M | Normal approximation to Binomial | - | 5.3 | |
| 22 | 17-Oct | W | Transformations to normality | - | 5.11-5.12 | |
| 23 | 19-Oct | F | Gamma and Exponential distributions | HW8 | 5.7 | |
| 24 | 22-Oct | M | Random sampling | - | 6.1 | |
| 25 | 24-Oct | W | TEST II | - | - | |
| 26 | 26-Oct | F | Sampling distribution of the mean | HW9 | 6.2-6.3 | |
| 27 | 29-Oct | M | Sampling distribution of variance | - | 6.4 | |
| 28 | 31-Oct | W | Estimators, estimates, interval estimates | - | 7.1 | |
| 29 | 2-Nov | F | CI for the mean | HW10 | 7.2 | |
| 30 | 5-Nov | M | General concepts of hypothesis testing | - | 7.3-7.4 | |
| 31 | 7-Nov | W | Testing the mean | - | 7.5-7.7 | |
| 32 | 9-Nov | F | Testing the difference of two means | HW11 | 7.8 | |
| 33 | 12-Nov | M | Veteran’s day Holiday—No Class | - | - | |
| 34 | 14-Nov | W | CI for the difference of two means | - | 7.8 | |
| 35 | 16-Nov | F | CI and testing for the variance | HW12 | 8.1-8.3 | |
| 36 | 19-Nov | M | CI and testing the proportion | - | 9.1-9.3 | |
| 37 | 21-Nov | W | Goodness of fit tests | HW13 | 9.4-9.5 | |
| 38 | 23-Nov | F | Thanksgiving Recess—No Class | - | - | |
| 39 | 26-Nov | M | Correlation | - | 11.6 | |
| 40 | 28-Nov | W | TEST III | - | - | |
| 41 | 30-Nov | F | Simple linear regression | HW14 | 11.1-11.2 | |
| 42 | 3-Dec | M | Curvilinear regression | - | 11.3 | |
| 43 | 5-Dec | W | Multiple linear regression | - | 11.4 | |
| 44 | 7-Dec | F | Checking the adequacy of fitted regression models | HW15 | 11.5 | |
| 45 | 10-Dec | M | ANOVA | - | 12.1 | |
| 46 | 12-Dec | W | Completely randomized design | - | 12.2 | |
| 47 | 14-Dec | F | Randomized block designs | HW16 | 12.3 | |
| *** | 21-Dec | F | COMPREHENSIVE FINAL EXAM from 12:30 to 2:30 PM | - | - |
Instructor Information | Course Description | Course Policies | Course Outline