INTERNATIONAL BURCH UNIVERSITY
Faculty of Engineering and Natural Sciences
Department of Information Technologies
2014-2015

SYLLABUS
Code Name Level Year Semester
MTH 104 Probability and Statistics for Engineers Undergraduate 1 Spring
Status Number of ECTS Credits Class Hours Per Week Total Hours Per Semester Language
Non-area Elective 5 110 English

 Instructor Assistant Coordinator Nejdet Dogru, Assoc. Prof. Dr. Reseach Asistant Nejdet Dogru, Assoc. Prof. Dr. [email protected] [email protected] no email

 Probabilty and Statistics

COURSE OBJECTIVE
The course is intendent to achieve following goals:
•Present role of statistics in engineering.

•Introduce basic topics and solution techniques of statistics and probability.

•Develop an appreciation for the development of mathematical thought using learned techniques.

•Expand understanding of introduced topics and research principles for applications in real life problems and analyzing the results.

COURSE CONTENT
Week
Topic
1. Course orientation and overview
2. Set theory, events, sample space, definition and axioms of probability
3. Counting techniques & Conditional probability
4. Independence & Random variables
5. Discrete random variables & Expected value
6. Binomial distribution & Hypergeometric and negative binomial distributions
7. Poisson distribution & Continuous probability distributions
8. Midterm
9. Exponential & Normal distribution
10. Distribution of the mean and linear combinations & Basic properties of confidence intervals
11. Confidence intervals on the mean & variance
12. Introduction to hypothesis testing on the mean
13. P values
14. Inferences Based on Two Samples and The Two Sample t-test and conf. Interval
15. Single Factor ANOVA

LABORATORY/PRACTICE PLAN
Week
Topic

TEACHING/ASSESSMENT
Description
• Lectures
• Excersises
• Presentation
• Assignments
• Recitation
Description (%)
Method Quantity Percentage (%)
Quiz110
Homework110
Midterm Exam(s)130
Final Exam145
+Attance 1 5
Total: 100
Learning outcomes
• Evaluate basic theories, processes and outcomes of computing
• Apply theory, techniques and relevant tools to the specification, analysis, design, implementation and testing of a simple computing product
• Knowledge and critical understanding of the well-established principles of computing, and of the way in which those principles have developed as technology has progressed
• Knowledge of all of the main development methods relevant to the field of computing, and ability to evaluate critically the appropriateness of different approaches to solving problems in the field of study
TEXTBOOK(S)
• Probability and Statistics for Engineering and the Sciences by JAY DEVORE 8th Edition
• Ronald E. Walpole, Raymond H. Myers, Sharon L. Myers, Keying Ye, “Probability and Statistics for Engineers and Scientists”, Pearson International Edition, Eighth Edition

ECTS (Allocated based on student) WORKLOAD
Activities Quantity Duration (Hour) Total Work Load
Lecture (14 weeks x Lecture hours per week)14456
Laboratory / Practice (14 weeks x Laboratory/Practice hours per week) 0
Midterm Examination (1 week)122
Final Examination(1 week)122
Preparation for Midterm Examination11515
Preparation for Final Examination11515
Assignment / Homework/ Project10220
Seminar / Presentation 0