Sem-3 Comps + AIML – MU NEP 2025
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Engineering Mathematics - III [Module 1] :- LINEAR ALGEBRA / MATRICES
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- Introduction to Matrices
- Eigen value and Eigen vector in Matrices
- Eigen value and Eigen vectors for Types of Matrices
- Cayley Hamilton Theorem with Example Part 1
- Cayley Hamilton Theorem with Example Part 2
- Cayley Hamilton Theorem with Example Part 3
- Monic and Minimal Polynomial of a Matrix
- Algebraic multiplicity And Geometric multiplicity
- Functions of a Square Matrix in Matrices
- Reduction of Quadratic form to Canonical form
- Orthogonal Matrix with Solved Example
- Matrices Notes
- Matrices Practice Problem and Solution Key
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Engineering Mathematics - III [Module 2] :- LINEAR PROGRAMMING PROBLEM LPP
- Basics of simplex method in LPP
- Standard form of LPP Simplex Method
- Types of Solutions in Simplex Method in LPP
- How to Solve LPP using Simplex method
- LPP Using Big M method ( Penalty Method )
- Duality of LPP ( Primal and Dual )
- Relationship between Primal and Dual
- Dual Simplex Method in LPP
- Linear Programming Problems Notes
- Linear Programming Practice Problem and Solution K
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Engineering Mathematics - III [Module 3] :- Non Linear Programming Problems
- 1. Nonlinear Programming Problems with no constraint
- 2. Nonlinear Programming Problems with one equality constraint
- 3-Nonlinear Programming Problems with more than one equality constraint
- 4-Example of Nonlinear Programming Problems with more than one equality constraint
- 5-Nonlinear Programming Problems using Kuhn-Tucker conditions
- 6- General nonlinear Programming Problems using Kuhn-Tucker conditions
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Engineering Mathematics - III [Module 4] :- Fourier Series
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Engineering Mathematics - III [Module 5] :- Statistical Techniques
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Engineering Mathematics - III [Module 6] :- Probability
- Introduction to Probability Distribution
- Discrete Random Variable in Probability Distribution
- Distribution function of Discrete Random Variable
- Continuous Random Variable in Probability Distribution
- Continuous Distribution Function in Probability Distribution
- Expectation in Probability Distribution
- Mean and Variance Part 1 in Probability Distribution
- Mean and Variance Part 2 in Probability Distribution
- Moments and Moments Generating Function Part #1 in Probability Distribution
- Moments and Moments Generating Function Part #2 in Probability Distribution
- Probability Notes
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Discrete Structures & Graph Theory [Module 1] :- Logic
- Laws Of Logic
- Logical Equivalence
- Statement forms Tautology Contradiction and Contingency | Part 1 |
- Statement forms Tautology Contradiction and Contingency | Part 2 |
- Mathematical Induction | Part 01 |
- Mathematical Induction | Part 02 |
- Mathematical Induction | Part 03 |
- Logical Statements and Symbolization
- CNF and DNF
- Converse, Inverse & Contrapositive
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Discrete Structures & Graph Theory [Module 2] :- Relations & Functions
- Set Theory | Part 1 |
- Set Theory | Part 2 |
- Set Theory | Part 3 |
- Set Theory | Part 4 |
- Set theory | Part 5 |
- Inclusion-Exclusion Principle
- Warshall Algorithm
- Warshall’s Algorithm – Numerical #2
- Warshall’s Algorithm – Numerical #1
- Bijective Function & Numerical
- Functions – Numerical #1
- Equivalence Relation #1
- Generating Functions – Numerical #1
- Exponential Generating Function – Numerical
- Functions (f o g o h , g o h o f) – Numerical
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Discrete Structures & Graph Theory [Module 3] :- Posets & Lattice
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Discrete Structures & Graph Theory [Module 4] :- Counting
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Discrete Structures & Graph Theory [Module 5] :-Algebraic Structures
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Discrete Structures & Graph Theory [Module 6] :- Graph Theory
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Discrete Structures & Graph Theory [Notes] :-
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Discrete Structures and Graph Theory [Viva Question]:-
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Discrete Structures & Graph Theory [ IMPs ] :-
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Computer Organization and Architecture [Module 1]:- Computer Fundamentals
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Computer Organization and Architecture [Module 2]:- ALU Operations
- Booth’s Algorithm with Solved Example Part #1
- Booth’s Algorithm with Solved Example Part #2
- Booth’s Algorithm with Solved Example Part #3
- Restoring Division Part #1
- Restoring Division Part #2
- Non Restoring Division Part #1
- Non Restoring Division Part #2
- Binary Numeric Data Representation
- Floating Point Number Representation in IEEE 754
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Computer Organization and Architecture [Module 3]:- Processor Organization and Architecture
- 8086 Addressing Modes
- Hardwired Control Unit
- Microprogrammed Control Unit
- Hardwired CU vs Micro-programmed CU
- Pipelining Hazards
- RISC Microprocessor
- CISC Microprocessor
- Instruction Cycles and Interrupt Mechanism
- Half and Full Adder
- Multiplexer and demultiplexer
- S-R Flip Flop
- J-k Flip Flop
- D Flip Flop & T Flip Flop
- Addressing Modes – Part 01
- Addressing Modes – Part 02
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Computer Organization and Architecture [Module 4]:- Memory Organization
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Computer Organization and Architecture [Module 5]:- I / O Organization
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Computer Organization and Architecture [Module 6]:- Parallel Processing
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Computer Organization and Architecture [Notes]:-
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AOA [Module 1] :- Introduction
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AOA [Module 2] :- Divide and Conquer Approach
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AOA [Module 3] :- Greedy Method Approach
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AOA [Module 4] :- Dynamic Programming Approach
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AOA [Module 5] :- Backtracking and Branch and bound
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AOA [Module 6] :- String Matching Algorithms
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AOA:- Importance with Solution
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AOA:- Viva
