Test Your Database Knowledge: 21 Key MCQs Fully Explained
Mona Nasery
Test Your Database Knowledge: 21 Key MCQs Fully Explained
39:56
Test Your SQL Knowledge: 12 Must-Know MCQs Fully Explained
Mona Nasery
Test Your SQL Knowledge: 12 Must-Know MCQs Fully Explained
38:47
SQL DML (Part 4): JOIN, UNION, and Self-Joins Explained |Hands-On Examples, York University
Mona Nasery
SQL DML (Part 4): JOIN, UNION, and Self-Joins Explained |Hands-On Examples, York University
58:59
SQL DML (Part 3): HAVING vs WHERE Explained with Hands-On Examples, York University
Mona Nasery
SQL DML (Part 3): HAVING vs WHERE Explained with Hands-On Examples, York University
35:03
SQL DML (Part 2): ORDER BY, GROUP BY, and Aggregates with Hands-On Examples, York University
Mona Nasery
SQL DML (Part 2): ORDER BY, GROUP BY, and Aggregates with Hands-On Examples, York University
57:23
SQL DML (Part 1): SELECT, WHERE, ORDER BY, GROUP BY, Full Lecture, York University
Mona Nasery
SQL DML (Part 1): SELECT, WHERE, ORDER BY, GROUP BY, Full Lecture, York University
50:41
SQL Views, Indexes, and Integrity Constraints Explained, Full Lecture, York University
Mona Nasery
SQL Views, Indexes, and Integrity Constraints Explained, Full Lecture, York University
56:25
Normalization Review: 1NF, 2NF, 3NF + Functional Dependencies, York University
Mona Nasery
Normalization Review: 1NF, 2NF, 3NF + Functional Dependencies, York University
28:33
SQL DDL Tutorial: Create & Manage Tables with ER Model Logic, Full Lecture, York University
Mona Nasery
SQL DDL Tutorial: Create & Manage Tables with ER Model Logic, Full Lecture, York University
1:05:39
Set Up SQL Server on Azure + Connect via VS Code
Mona Nasery
Set Up SQL Server on Azure + Connect via VS Code
21:22
Introduction to SQL DDL | Database Systems Full Lecture, York University
Mona Nasery
Introduction to SQL DDL | Database Systems Full Lecture, York University
1:19:38
Database Normalization Explained: 1NF, 2NF, 3NF with Real Examples | Full Lecture – York University
Mona Nasery
Database Normalization Explained: 1NF, 2NF, 3NF with Real Examples | Full Lecture – York University
1:54:38
Sample Practice - Constraint Satisfaction Problem (AC-3)
Mona Nasery
Sample Practice - Constraint Satisfaction Problem (AC-3)
15:37
Review Session - Search and Heuristics Examples
Mona Nasery
Review Session - Search and Heuristics Examples
32:58
Games and Adversarial Search in Artificial Intelligence: Alpha Beta Pruning
Mona Nasery
Games and Adversarial Search in Artificial Intelligence: Alpha Beta Pruning
43:21
Games and Adversarial Search in Artificial Intelligence: Minimax Search
Mona Nasery
Games and Adversarial Search in Artificial Intelligence: Minimax Search
37:23
Lecture 16: Introduction to Data Warehouse and Star Schema (Complete Session)
Mona Nasery
Lecture 16: Introduction to Data Warehouse and Star Schema (Complete Session)
56:02
Lecture 15: Introduction to Data Warehouse and Star Schema (Part 2)
Mona Nasery
Lecture 15: Introduction to Data Warehouse and Star Schema (Part 2)
45:41
Solving 4-Queens using Forward Checking - Explained
Mona Nasery
Solving 4-Queens using Forward Checking - Explained
6:26
Constraint Satisfaction Problem (CSP), Part3: Backtracking, Forward Checking, Arc Consistency
Mona Nasery
Constraint Satisfaction Problem (CSP), Part3: Backtracking, Forward Checking, Arc Consistency
32:25
Constraint Satisfaction Problem (CSP), Part 2: Forward Checking (FC) and Arc Consistency (AC-3)
Mona Nasery
Constraint Satisfaction Problem (CSP), Part 2: Forward Checking (FC) and Arc Consistency (AC-3)
44:32
Constraint Satisfaction Problem (CSP), Part 1: Introduction and Backtracking
Mona Nasery
Constraint Satisfaction Problem (CSP), Part 1: Introduction and Backtracking
35:38
Lecture 14: Introduction to Data Warehouse (DW) and Star Schema (Part 1)
Mona Nasery
Lecture 14: Introduction to Data Warehouse (DW) and Star Schema (Part 1)
1:00:52
Lecture 13: SQL JOIN (Left, Right Inner, Outer Joins), UNION, ANY, ALL
Mona Nasery
Lecture 13: SQL JOIN (Left, Right Inner, Outer Joins), UNION, ANY, ALL
57:16
AI - Informed Search, Heuristic, and Solving 8-Puzzle Using Different Heuristics
Mona Nasery
AI - Informed Search, Heuristic, and Solving 8-Puzzle Using Different Heuristics
31:48
Lecture 12: JOIN tables in SQL (Part 2)
Mona Nasery
Lecture 12: JOIN tables in SQL (Part 2)
45:45
Lecture 11: JOIN tables in SQL (Part 1)
Mona Nasery
Lecture 11: JOIN tables in SQL (Part 1)
1:00:08
Informed Search in Artificial Intelligence: Greedy Best-First Search, A* Search
Mona Nasery
Informed Search in Artificial Intelligence: Greedy Best-First Search, A* Search
37:14
Lecture 10: SQL DML Part 2: GroupBy, Aggregate Functions, OrderBy, Having
Mona Nasery
Lecture 10: SQL DML Part 2: GroupBy, Aggregate Functions, OrderBy, Having
1:03:33
Lecture 9: SQL Data Manipulation Language (DML), Part 1
Mona Nasery
Lecture 9: SQL Data Manipulation Language (DML), Part 1
27:06
Uninformed Search Strategies in Artificial Intelligence: BFS, UCS, DFS, DLS, IDDFS.
Mona Nasery
Uninformed Search Strategies in Artificial Intelligence: BFS, UCS, DFS, DLS, IDDFS.
1:22:59
Search Strategies in Artificial Intelligence: Uninformed Search (BFS, UCS, DFS, IDDFS)
Mona Nasery
Search Strategies in Artificial Intelligence: Uninformed Search (BFS, UCS, DFS, IDDFS)
1:10:04
Lecture 8: Set up Azure SQL Server and Basic DDL Commands
Mona Nasery
Lecture 8: Set up Azure SQL Server and Basic DDL Commands
1:12:34
Lecture 7: SQL DDL (CREATE, ALTER, DROP), York University
Mona Nasery
Lecture 7: SQL DDL (CREATE, ALTER, DROP), York University
57:53
Lecture 6: Normalization in Relational Databases, York University
Mona Nasery
Lecture 6: Normalization in Relational Databases, York University
1:05:00
Prolog Tutorial 3: Unification and Recursion, York University
Mona Nasery
Prolog Tutorial 3: Unification and Recursion, York University
1:13:49
Prolog Tutorial 2: Lists – Membership, Decomposition, and Anonymous Variables, York University
Mona Nasery
Prolog Tutorial 2: Lists – Membership, Decomposition, and Anonymous Variables, York University
57:49
Prolog Tutorial 1: Basics and Fundamentals, York University
Mona Nasery
Prolog Tutorial 1: Basics and Fundamentals, York University
1:05:35
Lecture 5: Relational Data Model (Part 2), York University
Mona Nasery
Lecture 5: Relational Data Model (Part 2), York University
1:13:39
Lecture 4: Relational Data Model (Part 1), York University
Mona Nasery
Lecture 4: Relational Data Model (Part 1), York University
1:07:50
Lecture 3: Data Modeling (ER Modeling) Part 2, York University
Mona Nasery
Lecture 3: Data Modeling (ER Modeling) Part 2, York University
1:07:03
Lecture 2: Data Modeling (ER Modeling) Part 1, York University
Mona Nasery
Lecture 2: Data Modeling (ER Modeling) Part 1, York University
1:03:21
Lecture 1: Introduction to Database Systems, York University
Mona Nasery
Lecture 1: Introduction to Database Systems, York University
53:15
K-Nearest Neighbors (KNN) Classifiers, York University
Mona Nasery
K-Nearest Neighbors (KNN) Classifiers, York University
1:09:32
Python Hands-on - Data Preprocessing - York University
Mona Nasery
Python Hands-on - Data Preprocessing - York University
1:08:09
Decision Tree Classification (Part 2), York University
Mona Nasery
Decision Tree Classification (Part 2), York University
1:05:15
Decision Tree Classification (Part 1), York University
Mona Nasery
Decision Tree Classification (Part 1), York University
1:14:49
Data Preprocessing 2, Data Mining Course (Lec 5), York University
Mona Nasery
Data Preprocessing 2, Data Mining Course (Lec 5), York University
1:00:51
1. Data Mining Introduction (Lecture 2), York University
Mona Nasery
1. Data Mining Introduction (Lecture 2), York University
52:35
SQL Lecture: Data Definition Language Part1
Mona Nasery
SQL Lecture: Data Definition Language Part1
1:07:58
Data Warehouse: How to Create a Star Schema
Mona Nasery
Data Warehouse: How to Create a Star Schema
19:00
How to Write SQL Queries to Search Information in Database
Mona Nasery
How to Write SQL Queries to Search Information in Database
23:05
How to Create Tables in SQL
Mona Nasery
How to Create Tables in SQL
30:32