INTERNATIONAL BURCH UNIVERSITY
Faculty of Engineering and Natural Sciences
Department of Information Technologies
20142015
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 
Nonarea Elective 
5 

110 
English 
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 
 Course orientation and overview
 Set theory, events, sample space, definition and axioms of probability
 Counting techniques & Conditional probability
 Independence & Random variables
 Discrete random variables & Expected value
 Binomial distribution & Hypergeometric and negative binomial distributions
 Poisson distribution & Continuous probability distributions
 Midterm
 Exponential & Normal distribution
 Distribution of the mean and linear combinations & Basic properties of confidence intervals
 Confidence intervals on the mean & variance
 Introduction to hypothesis testing on the mean
 P values
 Inferences Based on Two Samples and The Two Sample ttest and conf. Interval
 Single Factor ANOVA

Description 
 Lectures
 Excersises
 Presentation
 Assignments
 Recitation

Description (%) 
Quiz  1  10  Homework  1  10  Midterm Exam(s)  1  30  Final Exam  1  45  +Attance  1  5 

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 wellestablished 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 
Lecture (14 weeks x Lecture hours per week)  14  4  56  Laboratory / Practice (14 weeks x Laboratory/Practice hours per week)    0  Midterm Examination (1 week)  1  2  2  Final Examination(1 week)  1  2  2  Preparation for Midterm Examination  1  15  15  Preparation for Final Examination  1  15  15  Assignment / Homework/ Project  10  2  20  Seminar / Presentation    0 
