First Cycle - Faculty of Engineering - Computer Engineering (English)
Y : Year of Study S : Semester
Course Unit Code Course Unit Title Type of Course Y S ECTS
STAT253 Probability and Statistics Compulsory 2 4 5
Objectives of the Course
The objectives of the course are to introduce the computer engineering students the basic concepts of probability and statistics and teach them the probability models and statistical methods that will be needed in their advanced coursework.
Name of Lecturer(s)
Dr. Öğr. Üyesi MUSTAFA AĞAOĞLU
Learning Outcomes
1 Use a statistical software package to describe and present data; and develop statistical thinking and abstracting skills in decision making
2 Estimate confidence intervals for the unknown parameters of the interest population in a research study
3 Determine the distrubution of the discrete or continous random systems in order to model and simulate
4 Analyze the structure of the events/occurences/cases using the basic concepts and laws of probability theory and distrubutions
5 Explore properties of data and describe a set of data by calculating its measures of central tendency and variability
6 Gather raw data, information or scientific data for a field survey, problem solving, decision making; arrange collected data, tabulate numerical and categorical data and graph by means of several visualization techniques
Mode of Delivery
Formal Education
Course Contents
Introduction to Probability, Basic Definitions, Axioms of Probability and Combinatorial Concept; Describing Data With Graphs; Describing Data With Numerical Measures, Describing Bivariate Data; Conditional Probability and Independence; Probability and Probability Distributions; Discrete Random Variables and Probability Distributions; Continuous Random Variables and Probability Distributions; The Normal Probability Distribution; Jointly Distributed Random Variables; Expected Values, Covariance and Correlation; Sampling Distributions; Large-Sample Estimation; Large-Sample Tests of Hypotheses; Inference From Small Samples.
Weekly Detailed Course Contents
Week Theoretical Practice Laboratory
1 Introduction to Probability, Basic Definitions, Axioms of Probability and Combinatorial Concept
2 Describing Data With Graphs
3 Describing Data With Numerical Measures, Describing Bivariate Data
4 Conditional Probability and Independence
5 Probability and Probability Distributions
6 Discrete Random Variables and Probability Distributions
7 Continuous Random Variables and Probability Distributions
8 Midterm
9 The Normal Probability Distribution
10 Jointly Distributed Random Variables
11 Expected Values, Covariance and Correlation
12 Sampling Distributions
13 Large-Sample Estimation
14 Large-Sample Tests of Hypotheses
15 Inference From Small Samples
16 Study Week
17 Final
Recommended or Required Reading
1. Mendenhall, Beaver, Beaver, Introduction to Probability and Statistics, 12th/13th Edition, Thomson / Duxbury, 2006.
2. Jay L. Devore, Probability and Statistics for Engineering and the Sciences, 7th Edition, Thomson / Duxbury, 2008.
3. Levine, Ramsey and Smith, Applied Statistics for Engineers and Scientists, Prentice Hall, 2001.
Planned Learning Activities and Teaching Methods
Lecture, presentation, question & answer, problem solving, discussion
Assessment
AssessmentQuantityWeight
Term (or Year) Learning Activities60
End Of Term (or Year) Learning Activities40
Total100
Term (or Year) Learning ActivitiesQuantityWeight
Midterm Exam140
Quiz Exam430
Homework Exam830
Total100
End Of Term (or Year) Learning ActivitiesQuantityWeight
Final Exam1100
Total100
Language of Instruction
English
Work Placement(s)
None
Workload Calculation
Activities Number Time (hours) Total Work Load (hours)
Theoretical 3 14 42
Pre Class Self Study 1 14 14
Post Class Self Study 1 14 14
Midterm Preparation 1 10 10
Final Preparation 1 15 15
Quiz Preparation 4 3 12
Home Work 8 2 16
Total 19 72 123
Contribution of Learning Outcomes to Programme Outcomes
PO 1PO 2PO 3PO 4PO 5PO 6PO 7PO 8PO 9PO 10PO 11PO 12PO 13PO 14PO 15PO 16
LO 13000300011000000
LO 23000200010000000
LO 33000300021000000
LO 43000100011000000
LO 53000100000000000
LO 63000200012000000

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