Lectures on Image Processing

I gave these lectures as a part of the course "Image Processing" at the Department of Computer Science and Engineering at Sejong University (2020/1).

Introduction to Image Processing
Digital Image Fundamentals
Intensity Transformations and Spatial Filtering
Filtering in the Frequency Domain
Image Restoration and Reconstruction
Image Compression
Image Segmentation
Feature Extraction

Lectures on Multimedia

I gave these lectures as a part of the course "Multimedia" at the Department of Computer Science and Engineering at Sejong University (2019/2).

Multimedia Frameworks and Tools
Video Compression Principles
​Advanced Video Compression Techniques (AVC H.264 and HEVC H.265)

Lectures on Probability and Statistics Programming with Python

I gave these lectures as a part of the course "Probability and Statistics Programming" at the Department of Computer Science and Engineering at Sejong University (2019/1).

Statistics with Python Practice 1
Statistics with Python Practice 2
​Statistics with Python Practice 3​
​Statistics with Python Practice 4
​Statistics with Python Practice 5

Lectures on Image Processing

I gave these lectures as a part of the course "Image Processing" at the Department of Computer Science and Engineering at Sejong University (2019/1).

Lectures Contents: TBA

Lectures on Multimedia

I gave these lectures as a part of the course "Multimedia" at the Department of Computer Science and Engineering at Sejong University (2018/2).

Lectures Contents: TBA

Lectures on Probability and Statistics Programming in R

I gave these lectures as a part of the course "Probability and Statistics Programming" at the Department of Computer Science and Engineering at Sejong University (2018/1).

1. Course Information
2. Basic Concepts of Probability
3. Probability Basics: Problem Solving
4. Discrete Random Variables
5. Problem Solving: Discrete Random Variables
6. Continuous Random Variables
​7. Probability Distribution in R

8. Joint Probability Distributions
9. Variance and Point Estimation
10. Confidence Intervals
11. Test of Hypotheses
12. Hypotheses Testing in R
13. Analysis of Variance (ANOVA)
​14.​​ Simple Linear Regression

Lectures on Internet of Things (IoT)

I gave these lectures as a part of the course "Internet of Things: Protocols and Applications" at the Department of Computer Science and Engineering at Sejong University (2018/1).

Lectures Contents: TBA

Lectures on Multimedia

I gave these lectures as a part of the course "Multimedia" at the Department of Computer Science and Engineering at Sejong University (2017/2).

1. Course Information
​2. Introduction to Multimedia
3. Multimedia Authoring
4. Graphics and Image Data Representations (part 1)
​5. Median-cut Algorithm: An Example
6. Graphics and Image Data Representations (part 2)
7. Fundamental Concepts in Video

​8. Basics of Digital Audio
9. Lossless Compression Algorithms
10. Lossy Compression Algorithms​
​11. JPEG Standard
​12. Introduction to Audio Compression
13. Introduction to Video Compression
14. Multimedia Networks and Applications
15. Multimedia Retrieval

• Assessment Rubrics

Assignments
​PA-1 PA-2 PA-3 PA-4 PA-5 PA-6 PA-7 PA-8 PA-9 PA-10
EA-1 EA-2

Lectures on Object Oriented Programming (OOP) in C++

I gave these lectures as a part of the course "Problem Solving and Lab: C++" at the Department of Computer Science and Engineering at Sejong University (2017/1).

1. Introduction to C++ and OOP
2. I/O and Operators
3. Classes, Objects, and Strings
4. Control Statements
5. Functions and Recursion
6. Functions and Recursion with Array
7. Class Template Vector and Reviews Pointers
8. Reviews Pointers (Part 2)
9. Class Construction
​10. Class Construction (Part 2)
​11. Class Construction (Part 3)

12. Operator Overloading
13. Operator Overloading (Remaining Part)
14. Inheritance
15. Inheritance (Part 2)
16. Polymorphism
17. Polymorphism (Part 2)
18. Templates
19. Templates (Part 2)
​20. Stream Input/Output
21. Exception Handling
​22. Standard Template Library

---

Lectures on Random Process

I gave these lectures as a part of the course "Random Process" at the Department of Information and Communication Engineering at Inha University, South Korea

1. Basic Concepts of Probability Theory
2. Overview of Random Variables
3. Overview of Multiple Random Variables
4. Sum of Random Variables
5. Concepts of Random Process (Part 1)

6. Concepts of Random Process (Part 2)
​7. Concepts of Random Process (Part 3)
8. Analysis and Processing of Random Signals (Part 1)
9. Analysis and Processing of Random Signals (Part 2)
10. Markov Chains
​11. Queueing Theory

Lectures on Wireless Communications

I gave these lecture as a part of the course "Advanced Data Communications and Wireless Networks" at the Department of CSE at Ahsanullah University of Science and Technology (AUST), Bangladesh (2013 and 2014).
​

• Basics of Wireless Communications
• Satellite Communications 1
• Satellite Communications 2
• Cellular Networks and GSM Architecture

• CDMA Systems
• Wireless LAN and Wireless PAN
• Bluetooth Technology
• Antenna Types

Courses I Taught @University of Dhaka 

APECE-302: Radio & Television Engineering (Grade: Junior, Session: 2012-13)
[Course Home]

APECE-402: Microwave & Satellite Communication (Grade: Senior, Session: 2011-12)
[Course Home] [Lectures/Notices]

APECE-302: Radio & Television Engineering (Grade: Junior, Session: 2011-12)
[Course Home] [Lectures/Notices]

EEE-1222: Basic Electronics (Grade: Freshman (2), Session: 2011-12)
[Course Home] [Lectures/Notices]

APECE-308: Microprocessor & Assembly Language Programming (2006, 2007)

APECE-203: Electrical Machines & Measurements (2006)

APECE-406: Material Science (2006, 2007)

APECE-205: Physical Electronics & Electronic Devices (2007)

Others Courses I Teach/Taught

• Advanced Data Communications and Wireless Networks
• Advanced Electronics
• Wireless Sensor Networks
• Power Electronics
• Digital Signal Processing
• Data Structure
• Computer Programming in C
• Microwave Engineering
• Digital Modulation Techniques
• Fundamental of Physics