Lectures on Software Design and Implementation

I gave these lectures as a part of the course "Software Design and Implementation" at the Department of Computer Science (Institute of Data Science and AI) at University of Aberdeen (2023-24).

TBA


Lectures on Biostatistics and Health Data Analysis

I gave these lectures as a part of the course "Scientific Reserach Methods" at the Department of Computer Science (Institute of Data Science and AI) at University of Aberdeen (2023-24).

The Scientific Method

Tools for reporting research, including LaTeX

Literature and background research

Experimental Design

Statistical Hypothesis Testing

Probability and Statistics Refresher

Computational Tools for Statistics: Using Python

Nonparametric Statistical Tests and Experimental Design

Parametric Statistical Tests and Experimental Design

Qualitative Methods/Research Metrics

Survival Analysis/Epidemiological Methods

Meta-Analysis and Systematic Reviews

Ethical Issues and Common Mistakes


Lectures on Applied Machine Learning

I gave these lectures as a part of the course "AI Skills Bootcamp​" at the Department of Computer Science at University of Huddersfield (2022 Autumn​ Term).

Motivation and Use Cases

Introduction to Artificial Intelligence (AI)

Introduction to Machine Learning (ML)

Algorithms, Applications, and Hands-on:

Linear and Logistic Regression

Decision Tree and Random Forest

Naive Bayes and Support Vector Machine (SVM)

Dimensionality Reduction, KNN, and Gradient Boosting

Neural Network (NN) and Recurrent Neural Network (RNN)

K-Means and t-SNE

Data Preparation Techniques

Feature Extraction Techniques

Autoencoders and Linear Discriminant Analysis (LDA)

Validation and Testing

​Building E-mail Spam Filter using Machine Learning



​Lectures on Inventory Control with Machine Learning

I gave these lectures as a part of the course "AI Skills Bootcamp​" at the Department of Computer Science at University of Huddersfield (2022 Autumn​ Term).

​Introduction and Motivation

Inventory Tracking

Inventory Control

Stock Prediction

Introduction to Time Series Data

Statistical Methods for Time Series Forecasting (Part 1)

Statistical Methods for Time Series Forecasting (Part 2)

Machine Learning for Time Series Forecasting Part 1

Machine Learning for Time Series Forecasting Part 2

Python Packages for Time Series Analysis and Forecast

Inventory Management Software Architecture

Inventory Planning & Optimization

Predicting Back-Orders

​New Paradigms in Inventory Management


Lectures on Data Analysis

I gave these lectures as a part of the module "Data Analysis Introduction" at the Department of Computer Science at University of Huddersfield (2022 Autumn Term​).

Introduction to Data Analysis

Real World Examples of Data Analysis & Applications

Basic Statistical Concepts

Measures of Central Tendencies (Part 1)

Measures of Central Tendencies (Part 2)

Data Visualization and Data Design (Part 1)

Data Visualization and Data Design (Part 2)

Data Source: Finding Data in Real World

Introduction to Dashboards

Alternative data analytics tool - Python



Lectures on Inferential Statistics

I gave these lectures as a part of the course "Probability and Statistics" at the Department of Computer Science and Engineering at Sejong University (2022 Spring Semester).

Probability and Random Variables

Probability Distributions (Continuous and Discrete)

Expectation and Variance

Introduction to Estimation

Confidence Interval

Test of Hypothesis Based on a Single Sample

Test of Hypothesis Based on Two Samples

Single-Factor Analysis of Variance (ANOVA)

Multi-Factor Analysis of Variance (ANOVA)

Goodness of Fit Tests


Python Codes for Inferential Statistics

[Will be uploaded here]



Lectures on Statistical Learning

I gave these lectures as a part of the course "Introduction to Statistical Learning" at the Department of Computer Science and Engineering at Sejong University (2021/09-2021/12).

Introduction to Statistical Learning

Linear Regression

Linear Regression Review

Classification (Logistic Regression)

Classification (Generative Models)

Resampling (Cross-validation, The Bootstrap)

Model Selection and Regularization (Subset Selection, Lasso and Ridge Regression)

Model Selection and Regularization (Dimension Reduction Methods)

Tree-Based Methods: Decision Tree Basics

Tree-Based Methods: Ensemble Learning

Support Vector Machine (SVM)

Unsupervised Learning (Principle Component Analysis, Clustering Methods)


Python Codes for Statistical Learning

[Python Basics] [Linear Regression] [Regression Review] [Classification] [Model Selection and Regularization] [Ensemble Learning] [SVM and Clustering]

​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 (2021/09-2021/12).


Data Visualization: Introduction

Data Visualization: Design

Multimedia Communications and Networks

Content Distribution, Social Media, and Cloud Computing

AR, VR, and Principles of Animation

Introduction to Generative Adversarial Network (GAN)


Please scroll down for lectures on other multimedia topics



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 (Part 1)

Intensity Transformations and Spatial Filtering (Part 2)

Filtering in the Frequency Domain (Part 1)

Filtering in the Frequency Domain (Part 2)

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)


Please scroll down for lectures on other multimedia topics



Lectures on Probability and Statistics Programming

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


Please scroll down for lectures on other Probability and Statistics Programming topics



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



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).


Lecture Archive

Some older lecture notes are available in this link: https://edustack.weebly.com