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Information
| Code | EE659 |
| Name | Random Variables And Processes For Electrical Engineering |
| Semester | . Semester |
| Duration (T+A) | 3-0 (T-A) (17 Week) |
| ECTS | 6 ECTS |
| National Credit | 3 National Credit |
| Teaching Language | Türkçe |
| Level | Yüksek Lisans Dersi |
| Type | Normal |
| Mode of study | Yüz Yüze Öğretim |
| Catalog Information Coordinator | Prof. Dr. MEHMET FATİH AKAY |
Course Goal
This course aims to improve the knowledge of students on probability and random processes by providing tools for solving engineering problems in communications, signal processing, computer science, and other disciplines.
Course Content
Basic Concepts of Probability Theory, Discrete Random Variables, One Random Variables, Pairs of Random Variables, Long Term Averages, Bernoulli and Poisson Random Processes, Analysis and Processing of Random Signals, Markov Chains.
Course Precondition
Resources
Probability, Statistics, and Random Processes For Electrical Engineering (3rd Edition), by Alberto Leon-Garcia
Notes
Course Learning Outcomes
| Order | Course Learning Outcomes |
|---|---|
| LO01 | Learn probability and conditional probability. |
| LO02 | Learn Bernoulli trials. |
| LO03 | Learn random variables and types of random variables. |
| LO04 | Learn expected value and variance |
| LO05 | Learn random functions. |
Relation with Program Learning Outcome
| Order | Type | Program Learning Outcomes | Level |
|---|---|---|---|
| PLO01 | Bilgi - Kuramsal, Olgusal | Being able to specialize in at least one of the branches that form the foundations of electrical-electronic engineering by increasing the level of knowledge beyond the undergraduate level. | 3 |
| PLO02 | Bilgi - Kuramsal, Olgusal | To comprehend the integrity of all the subjects included in the field of specialization. | 2 |
| PLO03 | Bilgi - Kuramsal, Olgusal | Knowing and following the current scientific literature in the field of specialization | 3 |
| PLO04 | Bilgi - Kuramsal, Olgusal | To be able to comprehend the interdisciplinary interaction of the field with other related branches. | 4 |
| PLO05 | Bilgi - Kuramsal, Olgusal | Ability to do theoretical and experimental work | 3 |
| PLO06 | Bilgi - Kuramsal, Olgusal | To create a complete scientific text by compiling the information obtained from the research. | 4 |
| PLO07 | Bilgi - Kuramsal, Olgusal | To work on the thesis topic programmatically, following the logical integrity required by the subject within the framework determined by the advisor. | 4 |
| PLO08 | Bilgi - Kuramsal, Olgusal | To search for literature in scientific databases, particularly the ability to correctly and accurately scan databases and evaluate and categorize listed items. | 3 |
| PLO09 | Bilgi - Kuramsal, Olgusal | Knowledge of English at a level that can easily read and understand a scientific text written in English in the field of specialization | 3 |
| PLO10 | Bilgi - Kuramsal, Olgusal | Compile information on his/her expertise in a presentation format and present it understandably and effectively. | 5 |
| PLO11 | Bilgi - Kuramsal, Olgusal | Ability to write a computer program in a familiar programming language, generally for a specific purpose, specifically related to the field of expertise. | 1 |
| PLO12 | Bilgi - Kuramsal, Olgusal | Being able to guide and take the initiative in environments that require solving problems related to the field | 2 |
| PLO13 | Yetkinlikler - İletişim ve Sosyal Yetkinlik | Ability to communicate with people in an appropriate language | 2 |
| PLO14 | Yetkinlikler - Öğrenme Yetkinliği | To be able to produce projects, policies, and processes in the field of expertise and to evaluate these elements | 4 |
| PLO15 | Yetkinlikler - Öğrenme Yetkinliği | Ability to research new topics based on existing research experience | 5 |
Week Plan
| Week | Topic | Preparation | Methods |
|---|---|---|---|
| 1 | Introduction to probability | Öğretim Yöntemleri: Anlatım |
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| 2 | Set theory and conditional probability | Öğretim Yöntemleri: Anlatım |
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| 3 | Bernoulli trials | Öğretim Yöntemleri: Anlatım |
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| 4 | Random variables | Öğretim Yöntemleri: Anlatım |
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| 5 | Cumulative distribution function | Öğretim Yöntemleri: Anlatım |
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| 6 | Probability density function | Öğretim Yöntemleri: Anlatım |
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| 7 | Specific random variables | Öğretim Yöntemleri: Anlatım |
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| 8 | Mid-Term Exam | Ölçme Yöntemleri: Yazılı Sınav |
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| 9 | Discrete random variables | Öğretim Yöntemleri: Anlatım |
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| 10 | Conditional distributions | Öğretim Yöntemleri: Anlatım |
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| 11 | Asymptotic approximations | Öğretim Yöntemleri: Anlatım |
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| 12 | Functions of one random variable | Öğretim Yöntemleri: Anlatım |
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| 13 | Expected value | Öğretim Yöntemleri: Anlatım |
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| 14 | Functions of two random variables | Öğretim Yöntemleri: Anlatım |
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| 15 | Sample of Problems | Öğretim Yöntemleri: Anlatım |
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| 16 | Term Exams | Ölçme Yöntemleri: Yazılı Sınav |
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| 17 | Term Exams | Ölçme Yöntemleri: Yazılı Sınav |