LUMS
LUMS SSE Artificial Intelligence
This course includes:
3 modules
37 sub-modules
1469 questions
34 notes
Course Overview
LUMS SSE Artificial Intelligence
Features
High Scoring Challenge: Challenge yourself until you master every concept.
Learning box: Super Easy way to learn all the complex concepts.
Time saver: 5x Faster Preparation. Score well in no time. Prepare in just 15 days
Bonus Feature: Tabir is Fun
Progress Bar: 100 percent progress at the progress bar means you are ready for your exam.
Course Content
1Computational Problem Solving 16 sub modules
AVL Trees
Binary Trees
Computational Problem Solving
Divide And Conquer
Dynamic Programming
Graphs
Greedy Algorithms
Hashing
Heap And Heap Sort
Huffman Coding
Linked Lists (Singly, Doubly, Circular)
Lower Bound For Comparison Based Sorting
Queues
Recursion
Solving Recurrence Relations (Master's Theorem)
Stacks
2Foundational of Linear Algebra20 sub modules
Coordinates and Basis for a vector space
Determinants by Cofactor Expansion
Diagonal, Triangular and Symmetric matrices
Elementary Matrices and Method of finding matrix inverse
Evaluating Determinants by row reduction
Foundational of Linear Algebra
Gaussian Elimination
Introduction to Systems of Linear Equations
Inverses; Algebraic properties of Matrices
Linear Independence Dependence
Matrices and Matrix operations
Matrix Transformations
More on linear systems and Invertible Matrices
Norm, Dot Product, and Distance in Rn
Orthogonality of vectors
Properties of Determinants; Cramer’s rule
Real Vector Spaces
Subspaces
The Geometry of Linear Systems
Vectors in 2-space, 3-space and n-space
3Introductory Probability theory concepts 1 sub modules
Introductory Probability theory concepts
PKR 3000
This course includes:
3 modules
37 sub-modules
1469 questions
34 notes