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About the Course
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Computer Network [Module 1]:- Introduction to Computer Networks
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Computer Network [Module 2]:- Physical and Data Link layer
- Transmission Media: Guided and Unguided [Difference]
- Twisted-Pair Cables
- CoAxial Cable
- Framing and it’s Methods
- Fiber Optics Part [01]
- Fiber Optics Part [02]
- Error Detection and its Methods
- Hamming Code
- Cyclic Redundancy Check Part [01]
- Cyclic Redundancy Check Part [02]
- Parity Checking and Checksum Error Detection
- Flow Control: Stop and Wait and Sliding Window Protocol
- Go Back- N ARQ System
- SDLC protocol
- HDLC protocol
- Carrier Sense Multiple Access-Collision Detection Procedure (CSMA-CD)
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Computer Network [Module 3]:- Network Layer
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Computer Network [Module 4]:- Transport and Application Layer
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Computer Network [Module 5]:- Enterprise Network Design
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Computer Network [Module 6]:- Software Defined Networks
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Computer Network [Notes]:- Data Warehousing Fundamentals
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Computer Network [Notes]:- Physical Layer
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Computer Network [Notes]:- Data Link Layer
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Computer Network [Notes]:- Network Layer
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Computer Network [Notes]:- Transport Layer
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Computer Network [Notes]:- Application Layer
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Computer Network [ Importance ] :-
- IPv4 & IPv6 [ Numerical Notes ]
- Cyclic Redundancy Sums [ Numerical Notes ]
- Error Hamming [ Numerical Notes ]
- Introduction To Networking
- Physical Layer & Data Link Layer
- Network Layer
- Transport Layer & Application Layer
- Enterprise Network Design
- Software Defined Networks
- [Extra] Previously Asked Important Questions
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Computer Network [Viva Questions]:-
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Data Warehouse and Data Mining [Module 1]:- Data Warehousing Fundamentals
- Introduction to Data Warehouse
- Meta Data
- Data Mart
- Data Warehouse Architecture
- How to Draw Star , Smowflake and Fack Constelation Basics
- Numericals on Star , Snowflake and Fact Constelation [ Part 1 ]
- Numericals on Star , Snowflake and Fact Constelation [ Part 2 ]
- What is Olap Operations
- OLAP VS OLTP
- Extract Transform and Load (ETL)
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Data Warehouse and Data Mining [Module 2]:- Introduction to Data Mining, Data Exploration
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Data Warehouse and Data Mining [Module 3]:- Classification
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Data Warehouse and Data Mining [Module 4]:- Clustering
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Data Warehouse and Data Mining [Module 5]:-Mining frequent patterns and associations
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Data Warehouse and Data Mining [Module 6]:- Web Mining
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Data Warehouse and Data Mining [Notes]:-
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Data Warehouse and Data Mining [Viva Question]:-
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Data Warehouse and Data Mining [ Importance ] :-
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Artificial Intelligence
- AI Introduction + Detail Syllabus Analysis of All Modules [Module-1]
- Agent and Peas Description [Module-2]
- Types of Agent [Module-2]
- Learning Agent [Module-2]
- BFS Algorithm with solved Example [Module-3]
- DFS ( Depth First Search ) Algorithm with solved Example [Module-3]
- IDFS ( Iterative Depth First Search ) Algorithm with solved Example [Module-3]
- GBFS Solved Example [Module-3]
- A star Solved Example [Module-3]
- Hill Climbing [Module-3]
- Hill Climbing algorithm [Module-3]
- Genetic Algorithm [Module-3]
- Genetic Algorithm Max one Problem Solved Example [Module-3]
- Min Max Solved Example [Module-3]
- Alpha-Beta Pruning Solved Example [Module-3]
- Propositional Logic (PL) Introduction [Module-4]
- PL to CNF Conversion With Solved Example [Module-4]
- First-Order Logic (FOL) Solved Example [Module-4]
- Resolution Tree Sum Part #1 [Module-4]
- Resolution Tree Sum Part #2 [Module-4]
- Forward Chaining Criminal Numerical [Module-4]
- Backward Chaining – Criminal Numerical [Module-4]
- Introduction To Prolog [Module-4]
- Unification [Module-4]
- Resolution, Backtracking & Recursion [Module-4]
- [Solved With Code] Factorial Using Prolog [Module-4]
- [Solved With Code] Family Tree Using Prolog [Module-4]
- Bayesian Belief Network [Module-5]
- Bayesian Network toothache and Cavity sum [Module-5]
- Partial Order Planning with Example [Module-6]
- Supervised and Unsupervised Learning (AI and SC) [Module-6]
- Ensemble learning [Module-6]
- Expert System [Module-6]
- Module 1 [Notes]
- Module 2 [Notes]
- Module 3 [Notes]
- Module 4 [Notes]
- Module 5 [Notes]
- Module 6 [Notes]
- AI IMP
- Module 1{IMP}
- Module 2[IMP]
- Module 3[IMP]
- Module 4[IMP]
- Module 5[IMP]
- Module 6[IMP]
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Web Computing [ Module 01] - Web Programming Fundamentals
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Web Computing [ Module 02] - JavaScript
- Introduction & Setup
- Variables
- Variables – let, var & const
- Data Types
- Type Conversion
- Type Coercion
- Operators – #1
- Operators – #2
- Conditional Statements
- Switch Case & Ternary Operator
- Loops
- Arrays And Methods
- String And Methods
- Objects
- For.in and for loop
- Function
- Function Expression
- Scopes
- Math
- Date , Time
- Map,Filter,Reduce
- Error Handling
- This Keyword
- Call,Apply,Bind
- Asynchronous js
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Web Computing [ Module 03 & 04]- React Js & Advanced React Js
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Web Computing [ Module 06] - Express Js
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Web Computing [ Module 05] - Node Js
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Web Computing [ Viva ]
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Web Computing [ Importance Solutions Modulewise ]
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Network Layer