Sem 5 Comps 2026 [ AISC – CN – SE – DWM ]
₹4,000.00
₹2,400.00
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About the Coursse
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Artificial Intelligence and Soft Computing :- [Module 1] : Introduction to Artificial Intelligence
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Artificial Intelligence and Soft Computing :- [Module 2] : Problem Solving and Search Techniques
- BFS Algorithm with solved Example
- DFS ( Depth First Search ) Algorithm with solved Example
- IDFS ( Iterative Depth First Search ) Algorithm with solved Example
- GBFS Solved Example
- A star Solved Example
- Hill Climbing
- Hill Climbing algorithm
- Genetic Algorithm
- Genetic Algorithm Max one Problem Solved Example
- Min Max Solved Example
- Alpha-Beta Pruning Solved Example
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Artificial Intelligence and Soft Computing :- [Module 3] : Knowledge Representation, Reasoning
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Artificial Intelligence and Soft Computing :- [Module 4] : Artificial Neural Network
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Artificial Intelligence and Soft Computing :- [Module 5] : Associative Memory Network - Coming Soon
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Artificial Intelligence and Soft Computing :- [Module 6] : Fuzzy System
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Software Engineering [Module 1]:- Introduction To Software Engineering and Process Models
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Software Engineering [Module 2]:- Software Requirements Analysis and Modeling
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Software Engineering [Module 3]:- Software Estimation Metrics
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Software Engineering [Module 4]:- Software Design
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Software Engineering [Module 5]:- Software Testing
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Software Engineering [Module 6]:- Software Configuration Management, Quality Assurance and Maintenance
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Software Engineering [Notes]:- Software Engineering Full Notes
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Software Engineering [Viva Question]:-
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Software Engineering [ Importance ] :-
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Computer Network :- Introduction to Computer Networks
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Computer Network :- Data Link layer
- Framing and it’s Methods
- 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
- CSMA – CD Procedure
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Computer Network :- Network Layer
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Computer Network :- Transport Layer
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Computer Network :- Application Layer
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Computer Network :- Emerging and Advanced Topics
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Computer Network [Notes]:-
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Computer Network [ Importance ] :-
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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
- K Mean clustering with Example [ Type 1 ]
- K Mean clustering with Example [ Type 2 ]
- K Mean Numerical Solved Example [ May 2022 , May 2023 ] [ 10 Marks ] —
- K Medoid with Example
- Agglomerative Clustering Algorithm with Example
- Agglomerative Adjacency Matrix using Euclidean Distance with Solved Example
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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 + Importance Solution]:-
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Data Warehouse and Data Mining [Viva Question]:-
![Sem 7 AIML [ Deep Learning – BDA – NLP ]](https://lastmomenttuitions.com/wp-content/uploads/2019/07/demo_image-450x450.jpg "demo_image")
![SEBI GRADE A 2026 – IT [ Phase 1 + Phase 2 ]](https://lastmomenttuitions.com/wp-content/uploads/2025/12/SEBI-GRADE-A-IT-2025-450x450.png "SEBI GRADE A – IT 2025")
