CENG562 Stochastic Processes for Computer Engineers

6 ECTS - 3-0 Duration (T+A)- . Semester- 3 National Credit

Information

Code CENG562
Name Stochastic Processes for Computer Engineers
Term 2022-2023 Academic Year
Term Spring
Duration (T+A) 3-0 (T-A) (17 Week)
ECTS 6 ECTS
National Credit 3 National Credit
Teaching Language İngilizce
Level Yüksek Lisans Dersi
Type Normal
Mode of study Yüz Yüze Öğretim
Catalog Information Coordinator Prof. Dr. ZEKERİYA TÜFEKCİ
Course Instructor
1


Course Goal / Objective

The objective of this course is to provide the fundamentals and advanced concepts of probability theory and random process to support graduate coursework and research in computer engineering

Course Content

This course covers basics of probability, random variables and random processes.

Course Precondition

Resources

Random Signals Detection Astimation and Data Analysis K. Sam Shanmugan A. M. Breipohl

Notes



Course Learning Outcomes

Order Course Learning Outcomes
LO01 Defines and uses the concepts of probability, random variable and, random process.
LO02 Explains basic concepts of a random process, calculate the mean, variance, and autocorrelation of a stationary random process.
LO03 Applies the fundamentals of probability theory and stochastic processes to practical engineering problems.


Relation with Program Learning Outcome

Order Type Program Learning Outcomes Level
PLO01 Bilgi - Kuramsal, Olgusal On the basis of the competencies gained at the undergraduate level, it has an advanced level of knowledge and understanding that provides the basis for original studies in the field of Computer Engineering. 4
PLO02 Bilgi - Kuramsal, Olgusal By reaching scientific knowledge in the field of engineering, he/she reaches the knowledge in depth and depth, evaluates, interprets and applies the information. 4
PLO03 Yetkinlikler - Öğrenme Yetkinliği Being aware of the new and developing practices of his / her profession and examining and learning when necessary. 4
PLO04 Yetkinlikler - Öğrenme Yetkinliği Constructs engineering problems, develops methods to solve them and applies innovative methods in solutions. 2
PLO05 Yetkinlikler - Öğrenme Yetkinliği Designs and applies analytical, modeling and experimental based researches, analyzes and interprets complex situations encountered in this process. 3
PLO06 Yetkinlikler - Öğrenme Yetkinliği Develops new and / or original ideas and methods, develops innovative solutions in system, part or process design. 3
PLO07 Beceriler - Bilişsel, Uygulamalı Has the skills of learning. 3
PLO08 Beceriler - Bilişsel, Uygulamalı Being aware of new and emerging applications of Computer Engineering examines and learns them if necessary. 4
PLO09 Beceriler - Bilişsel, Uygulamalı Transmits the processes and results of their studies in written or oral form in the national and international environments outside or outside the field of Computer Engineering. 3
PLO10 Beceriler - Bilişsel, Uygulamalı Has comprehensive knowledge about current techniques and methods and their limitations in Computer Engineering. 3
PLO11 Beceriler - Bilişsel, Uygulamalı Uses information and communication technologies at an advanced level interactively with computer software required by Computer Engineering. 3
PLO12 Bilgi - Kuramsal, Olgusal Observes social, scientific and ethical values in all professional activities. 4


Week Plan

Week Topic Preparation Methods
1 Probability and Random Variables Reading related chapter in the textbook Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma
2 Random Vectors Reading related chapter in the textbook Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma
3 Bounds and Approximations Reading related chapter in the textbook Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma
4 Sequences of Random Variables and Convergence Reading related chapter in the textbook Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma
5 Definition of Random Processes Reading related chapter in the textbook Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma
6 Special Classes of Random Processes Reading related chapter in the textbook Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma
7 Stationarity Reading related chapter in the textbook Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma
8 Mid-Term Exam Reading lecture notes and related chapters in the textbook Ölçme Yöntemleri:
Yazılı Sınav
9 Continuity, Differentiation, and Integration Reading related chapter in the textbook Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma
10 Time Averaging and Ergodicity Reading related chapter in the textbook Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma
11 Response of Linear Systems to Random Inputs Reading related chapter in the textbook Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma
12 Discrete Linear Models Reading related chapter in the textbook Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma
13 Markov Sequences and Processes Reading related chapter in the textbook Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma
14 Point Processes Reading related chapter in the textbook Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma
15 Gaussian Processes Reading related chapter in the textbook Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma
16 Term Exams Reading lecture notes and related chapters in the textbook Ölçme Yöntemleri:
Yazılı Sınav
17 Term Exams Reading lecture notes and related chapters in the textbook Ölçme Yöntemleri:
Yazılı Sınav


Student Workload - ECTS

Works Number Time (Hour) Workload (Hour)
Course Related Works
Class Time (Exam weeks are excluded) 14 3 42
Out of Class Study (Preliminary Work, Practice) 14 5 70
Assesment Related Works
Homeworks, Projects, Others 0 0 0
Mid-term Exams (Written, Oral, etc.) 1 15 15
Final Exam 1 30 30
Total Workload (Hour) 157
Total Workload / 25 (h) 6,28
ECTS 6 ECTS

Update Time: 14.11.2022 10:33