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9:40- 11:30 |
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11:40-13:30 |
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CENG272 (T1) H127 |
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13:40-15:30 |
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CENG272 (T1) H127 |
OFFICE HOURS |
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15:40-17:30 |
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Contents |
Instructor
office: Department of Materials Science and Engineering,
N-B08 |
TA
office:Computer
Engineering Department, |
Watch this space for the latest updates (If the characters do not show properly, please try viewing this page with Unicode (UTF-8) encoding). Last updated:
DO NOT FORGET TO BIRING FORMULAE SHEET (available ) TO THE EXAM HALL. DO NOT ADD ANY FORMULAE BY YOURSELF TO THIS SHEET.
DO NOT FORGET TO BIRING NECESSARY TABLES FOR THE EXAM.
DO NOT FORGET TO BIRING YOUR CALCULATOR FOR THE EXAM. YOU ARE NOT ALLOWED TO USE ANY OTHER ELECTRONIC EQUIPMENT IN THE EXAM.
Abdullah Alnıaçık - Midterm
Others (not be valid until i received a valid report)
DO NOT FORGET TO BRING THIS FORMULAE SHEET TO THE EXAM HALL.
DO NOT ADD ANY FORMULAE BY YOURSELF TO THIS SHEET.
DO NOT FORGET TO BRING YOUR CALCULATOR FOR THE EXAM.
YOU ARE NOT ALLOWED TO USE ANY OTHER ELECTRONIC EQUIPMENT IN THE EXAM.
Computational statistics is statistics that uses computation, often a lot of computation, while statistical computing is computational mathematics. Both fields are hybrids, but it seems that in computational statistics the emphasis is on the statistics and in statistical computation the emphasis is on the tools.
Ceng 272 is intended as a calculus-based probability and statistics course and gives an introduction to probability theory and statistics that emphasizes the mathematical foundations required to understand probability models and statistical methods. Among the topics covered will be;
To introduce various statistical methodologies and their applications in data analysis.
To provide students with a good understanding of the theory of probability and the basic methods of statistics.
Data, Graphical Descriptive Techniques. Use statistical concepts such as means, variances and various types of graphs to analyze datasets.
Understand basic concepts in probability including sample spaces, events, probability rules, conditional probability, independent events and Bayes rule.
Random variables and their distributions.
Sampling distributions - Sampling, law of large numbers, central limit theorem.
Understand confidence intervals and perform statistical inference such as hypothesis testing and regression.
There are two groups for lecturing , you may attend any one of the lecture hours. You MAY have a quiz (10 minutes) for the previos week's subjects. There won't be any make-up for these quizes and they will have weight for the final grading. We have a pop-up quiz policy.
Important announcements will be posted to the Announcements section of this web page above, so please check this page frequently. You are responsible for all such announcements, as well as announcements made in lecture.
Readings will be assigned in Probability & Statistics for Engineers & Scientists, 8/E by Ronald E. Walpole, Raymond H. Myers, Sharon L. Myers,Keying Ye, Prentice Hall, 2006.
Statistics for Engineering and the Sciences, 5/E by William Mendenhall, Terry Sincich, Prentice Hall, 2006. This text is only recommended rather than required. This book is useful for reference, for an alternative point of view.
There will be a midterm and a final exam, will count 25% and 45% of your grade, respectively.
Quiz: 15% (worst of the quizes will be discarded)
Attendance is required and constitutes part of your course grade; 15%
Attendance is not compulsory, but you are responsible for everything said in class.
I encourage you to ask questions in class. You are supposed to ask questions. Don't guess, ask a question!
You may discuss homework problems with classmates (although it is not to your advantage to do so).
You can use ideas from the literature (with proper citation).
You can use anything from the textbook/notes.
The following schedule is tentative; it may be updated later in the semester, so check back here frequently.
Week |
Dates |
Topic |
Lecture Notes Class |
Quizes |
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Grades |
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Exercise Set |
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Lectures |
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1 |
February 13-17, 2012 |
First Meeting & Introduction to Statistics and Data Analysis I |
Class pdf |
NA |
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Reading pdf |
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- |
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2 |
February 20-24, 2012 |
Introduction to Statistics and Data Analysis II |
Class pdf |
NA |
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Reading pdf |
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3 |
February 27-02, 2012 |
Probability I |
Class pdf |
NA |
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Reading pdf |
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- |
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4 |
March 5-9, 2012 |
Probability II |
Class pdf |
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Reading pdf |
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5 |
March 12-16, 2012 |
Random Variables and Probability Distributions |
Class pdf |
NA |
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Reading pdf |
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6 |
March 19-23 2012 |
Mathematical Expectation |
Class pdf |
NA |
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Reading pdf |
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7 |
March 26-30 2012 |
Some Discrete Probability Distributions I |
Class pdf |
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Reading pdf |
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- |
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9 |
April 09-13, 2012 |
Some Discrete Probability Distributions I |
Class pdf |
NA |
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Reading pdf |
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- |
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10 |
April 16-20, 2012 |
Some Discrete Probability Distributions II |
Class pdf |
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Reading pdf |
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- |
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11 |
April 23-27, 2012 |
Some Discrete Probability Distributions III 5. Mühendislik ve Teknoloji Sempozyumu 26-27 Nisan 2012 (http://www.mts5.cankaya.edu.tr) |
Class pdf |
NA |
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Reading pdf |
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12 |
April 30-04, 2012 |
Some Continuous ProbabilityDistributions I |
Class pdf |
NA |
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Reading pdf |
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- |
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13 |
May 07-11, 2012 |
Some Continuous ProbabilityDistributions II |
Class pdf |
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Reading pdf |
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14 |
May 14-18, 2012 |
Fundamental Sampling Distributions and Data Distributions I |
Class pdf |
NA |
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Reading pdf |
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- |
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15 |
May 21-22, 2012 |
Fundamental Sampling Distributions and Data Distributions II |
Class pdf |
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Reading pdf |
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Exams |
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8 |
April 4, 2012 17:40 N-A02 |
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16-17 |
June 7, 2012 12:30 N-A02 |