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Engineering Mathematics
Correct, Clear & Complete Understanding. "GO" for the Best.
➤ Complete EM Course is FREE for ALL.
➤ Mail us if not able to access - contact@goclasses.in
| star star star star star_half | 4.8 (136 ratings) |
Instructor: Sachin Mittal (MTech IISc Bangalore, Ex-Amazon Scientist, GATE AIR 33)
Language: English
Enrolled Learners: 53429
Validity Period: Lifetime
GO Classes Complete Discrete Mathematics and Engineering Mathematics Courses are FREE for all learners. Sign up and start learning.
Important Links (Click Below):
Discrete Mathematics Complete Course (FREE for ALL)
Engineering Mathematics Complete Course (FREE for ALL)
Features of the course:
1. Quality Content: No Rote-learning. No poor understanding. No By-hearting of formulas, tables or theorems. Understand everything with proofs, intuitions, and ideas.
2. No Prerequisites: Every concept is taught from basics, without assuming any prior knowledge whatsoever.
3. Daily Homework: Practice material, with solutions, for Every Lecture to test your understanding of concepts of the respective lecture.
4. Summary Lectures: Short videos which summarise every concept and detail of the course. Helps in quick revision.
5. Quality Practice Sets: Practice Sets from standard resources, with solutions, containing a lot of quality questions for practice.
6. Weekly Quizzes: Every week, there will be a Live Quiz, containing 15-20 questions, to evaluate your understanding of concepts taught in the previous week. The Quiz questions can be seen and solved even after the live quiz is over. The weekly quizzes can be accessed by complete course enrolled students.
7. Doubt Resolution: All your doubts will be resolved directly by the faculty. There is a dedicated Telegram group for Enrolled Students of Goclasses where our faculties resolve students' doubts. So, our students don't have to go anywhere else for asking doubts.
Enrol Now.
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| Linear Algebra | |||
| Lecture 1A - Why Study Linear Algebra 22:00 | |||
| Lecture 1B - Linear Algebra for GATE & Interviews 14:00 | |||
| Annotated Notes - Lecture 1A-1B (32 pages) | |||
| Lecture 1C - Linearly Independent and Linearly Dependent 75:00 | |||
| Annotated Notes - Lecture 1C (92 pages) | |||
| Lecture 2A - Filling the Space Part 1 44:00 | |||
| Lecture 2B - Filling the Space Part 2 28:00 | |||
| Lecture 2C - Summary So far 12:00 | |||
| Lecture 2D - Multiplying a Matrix & a Vector 26:00 | |||
| Annotated Notes - Lecture 2 (103 pages) | |||
| Homework 1 - Linear Dependence & Independence (12 pages) | |||
| Lecture 3A - Homework 1 Discussion | |||
| Annotated Notes - Lecture 3A - Homework 1 Discussion (20 pages) | |||
| Lecture 3B - Why Solve System Of Linear Equations 22:00 | |||
| Lecture 3C - Writing as Ax=b, Geometric Interpretation and Possible Solutions 24:00 | |||
| Lecture 3D - Understanding Ax=b intuitively 44:00 | |||
| Lecture 3B-D Annotated Notes (74 pages) | |||
| 4A. Multiplying 2 Matrices | My Walmart Interview Question 18:00 | |||
| 4B. GATE 2016 Question 16:00 | |||
| 4C. GATE 2014 Question 14:00 | |||
| 4D. Two conceptual questions 28:00 | |||
| 4E. Linear Combination of Independent vectors is unique 28:00 | |||
| 4F. GATE 2017 Question 4:00 | |||
| Lecture 4 Annotated Notes (76 pages) | |||
| 5A. Echelon Form and Pivot Columns 37:00 | |||
| 5B. Gaussian Elimination 26:00 | |||
| 5C. Rank | GATE 1994 Question | Rank Nullity Theorem 11:00 | |||
| 5D. Finally Solving Ax=b | Five Different Questions 33:00 | |||
| 5E. More than one free variable in 𝐴𝑥=0 solution 32:00 | |||
| Lecture 5 Annotated Notes (125 pages) | |||
| 6A. GATE 2021 Question | Free variables in Non homogeneous 19:00 | |||
| 6B. Solutions based on Rank(A) and Rank(A|b) 18:00 | |||
| 6C. Few Questions related to rank(A) and Number of solutions 8:00 | |||
| 6D. [OPTIONAL] Linearly Independent Columns with Gaussian Elimination 24:00 | |||
| 6E. [Optional] Row Reduced Echelon Form 28:00 | |||
| Lecture 6 Annotated Notes (74 pages) | |||
| Lecture 7A. Determinant 100:00 | |||
| Lecture 7B. Inverse of a Matrix | |||
| Lecture 7C. Crammer's rule 26:00 | |||
| Annotated Notes Lecture 7 A-C Determinant Inverse and Cramer's Rule (149 pages) | |||
| Lecture 8A. Introduction to Eigenvalues and Eigenvectors 23:00 | |||
| Lecture 8B. Characteristic Equation 15:00 | |||
| Lecture 8C. Solving for Eigenvalues and Eigenvectors 22:00 | |||
| Annotated Notes Lecture 8A-C EigenValues and EigenVectors (45 pages) | |||
| Lecture 9A. Linearly Independent Eigen vectors with repeating eigenvalues 21:00 | |||
| Lecture 9B. Three Different Examples With Repeating Lambda 30:00 | |||
| Lecture 9C. Symmetric Matrices has n LI Eigen Vectors 12:00 | |||
| Lecture 9D. Two Magical Properties 12:00 | |||
| Annotated Notes Lecture 9A-D Eigen Vectors (95 pages) | |||
| Lecture 10A. Rank and Eigen Values 22:00 | |||
| Lecture 10B. Examples on Rank and Eigen Values 15:00 | |||
| Lecture 10C. CAYLEY-HAMILTON THEOREM 16:00 | |||
| Lecture 10D. Eigen Values of AB and BA 32:00 | |||
| Lecture 10E. Eigen Values of Powers of A 17:00 | |||
| Annotated Notes Lecture 10A-E Rank and EigenValues (99 pages) | |||
| Lecture 10F. (Three Tough/Interesting GATE PYQs) | |||
| Annotated Notes Lecture 10F GATE PYQs Linear Algenra (14 pages) | |||
| Lecture 10G. Matrix Diagonalization (brief) | |||
| Annotated Notes Lecture 10G. Matrix Diagonalization (brief) (8 pages) | |||
| Lecture 11A. LU Decomposition 25:00 | |||
| Lecture 11B. Type Of Matrices 84:00 | |||
| Annotated Notes Lecture 11A -B (80 pages) | |||
| LIVE Practice Questions on Linear Dependent Vectors 62:00 | |||
| Annotated Notes Practice Questions on Linear Dependent Vectors (59 pages) | |||
| LIVE Practice Questions on Solutions of Ax = b 61:00 | |||
| Annotated Notes Practice Questions on Ax=b (58 pages) | |||
| LIVE Class on Practice Questions for GATE all Branches 53:00 | |||
| Annotated Notes First LIVE Class on GATE Practice Questions (All Branches) | Linear Algebra (34 pages) | |||
| More GATE PYQs from all Branches 79:00 | |||
| Annotated Notes Few More GATE PYQs from all Branches (75 pages) | |||
| Weekly Quiz and Solution | |||
| LIVE Practice Questions on Linear Dependent Vectors and Solutions of Ax = b | |||
| Probability | |||
| Lecture 1A. Probability Definition, Sample Space and Events 28:00 | |||
| Lecture 1B. Inclusion Exclusion Principle, Demorgan's Law 37:00 | |||
| Lecture 1 Annotated Notes (40 pages) | |||
| Lecture 2A. Conditional Probability Introduction 34:00 | |||
| Lecture 2B. Conditional Probability Examples 26:00 | |||
| Lecture 2C. Introduction to Tree Diagram 32:00 | |||
| Annotated Notes Lecture 2 Conditional Probability (70 pages) | |||
| Lecture 3A. Total Probability 36:00 | |||
| Lecture 3B. Conditional Probability Examples 33:00 | |||
| Annotated Notes Lecture 3A-3B (55 pages) | |||
| Lecture 3C: GATE PYQs Tree Method | |||
| Annotated Notes Lecture 3C GATE PYQs Tree Method (35 pages) | |||
| Lecture 3D: GATE PYQs and Bayes Theorem | |||
| Annotated Notes Lecture 3D: GATE PYQs and Bayes Theorem (48 pages) | |||
| [Optional] My LinkedIn Interview 49:00 | |||
| Annotated Notes [Optional] My Linkedin Interview (28 pages) | |||
| Lecture 4A. independence of events 43:00 | |||
| Lecture 4B. Conditional Independence 32:00 | |||
| Annotated Notes Lecture 4A-B Independence and Conditional Independence (61 pages) | |||
| Lecture 4C. Independence Does not imply Conditional Independence 22:00 | |||
| Annotated Notes Lecture 4C. Independence Does not imply Conditional Independence (22 pages) | |||
| Lecture 4D. Random Variables Introduction | |||
| Annotated Notes Lecture 4d. Random Variables Introduction (46 pages) | |||
| Lecture 5A. Practice Questions on Random Variables 29:00 | |||
| Annotated Notes Lecture 5A. Practice Questions on Random Variables (20 pages) | |||
| Lecture 5B. More Practice Questions on Random Variables 67:00 | |||
| Annotated Notes Lecture 5B. Practice Questions on Random Variables (46 pages) | |||
| Weekly Quiz 8 - Conditional Probability (6 pages) | |||
| LIVE Session 5: Weekly Quiz 8 (Conditional Prob) Discussion | |||
| Live Session 5 Annotated Notes (56 pages) | |||
| Lecture 6A. Types of Random Variables 9:00 | |||
| Lecture 6b. Probability Mass Function Questions Part 1 20:00 | |||
| Lecture 6c. Probability Mass Function Questions Part 2 15:00 | |||
| Annotated Notes Lecture 6 Probability (39 pages) | |||
| Lecture 7a. Expectation of Discrete Random Variable 19:00 | |||
| Lecture 7b Expectation vs Average 40:00 | |||
| Lecture 7c.[Optional] Expectation as center of mass 8:00 | |||
| Lecture 7d. MIT Question and GATE 2021 Question 13:00 | |||
| Lecture 7e. Expectation of Random Variable which is a Function of Random Variable 18:00 | |||
| Lecture 7 Annotated Notes (70 pages) | |||
| LIVE Session 6 | |||
| Live Session 6 Annotated Notes (35 pages) | |||
| Lecture 8a. Question number 8 21:00 | |||
| Lecture 8b. Question number 9, 10, 11 17:00 | |||
| Lecture 8c. Question number 12, 13 30:00 | |||
| Lecture 8 Annotated Notes (37 pages) | |||
| Lecture 9a. Cumulative Distribution Function 31:00 | |||
| [LIVE] Lecture 9b - Variance Intuition and Formula 52:00 | |||
| [LIVE] Lecture 9c- Variance Main Formula and Questions 38:00 | |||
| [LIVE] Lecture 9d- Variance Questions 45:00 | |||
| Lecture 9 Annotated Notes (85 pages) | |||
| [LIVE] Lecture 10a: Discrete random variable (Bernoulli and Binomial RVs) 77:00 | |||
| [LIVE] Lecture 10b. MIT Question on Binomial RV 16:00 | |||
| [LIVE] Lecture 10c. Optional and Skip - Question on Plot of PMF 19:00 | |||
| [LIVE] Lecture 10d. Poisson RV 28:00 | |||
| 10d. Discrete Uniform RV Introduction 15:00 | |||
| [LIVE] Lecture 10 Annotated Notes (79 pages) | |||
| Lecture 11a. Introduction to Continuous Distributions | Intuition about PDF 32:00 | |||
| Lecture 11b. Continuous Uniform Distribution 25:00 | |||
| Lecture 11c. Normal Distribution 43:00 | |||
| Lecture 11d. Normal Distribution - 2 17:00 | |||
| Lecture 11E. Exponential Distribution 18:00 | |||
| Lecture 11 Annotated Notes (83 pages) | |||
| Lecture 12. Statistics - Mean Mode Median 35:00 | |||
| Lecture 12 Annotated Notes (20 pages) | |||
| Calculus (GATE 2025) | |||
| Lecture 1: Finding Limit of a function 116:00 | |||
| Annotated Notes Lecture 1 Limits and Indeterminant Form (68 pages) | |||
| Lecture 2: Methods to Evaluate the Limit of a function | |||
| Annotated Notes Lecture 2 Evaluating Limits (126 pages) | |||
| Lecture 3: Limits L'Hôpital's rule and Other Indeterminate forms of powers | |||
| Annotated Notes Lecture 3 L hopital rule and Evaluating Power forms in Indeterminate form (78 pages) | |||
| Homework Limit Calculus GATE CSE PYQs | |||
| Lecture 4: Continuity and Introduction to Differentiability 91:00 | |||
| Annotated Notes Lecture 4 Continuity and Differentiability (106 pages) | |||
| Lecture 5: Maxima and Minima | |||
| Lecture 6: Integration 107:00 | |||
| Annotated Notes Lecture 6 Integration (97 pages) | |||
| Calculus (Old Videos) | |||
| About this series | |||
| Limits in Calculus | Calculus | Engineering Mathematics | GATE | GO Classes | GATE Overflow 50:00 | |||
| Continuity in Calculus | Calculus | Engineering Mathematics | GATE | GO Classes | GATE Overflow 12:00 | |||
| Differentiability in Calculus | Calculus | Engineering Mathematics | GATE | GO Classes 17:00 | |||
| Maxima Minima in Calculus | Calculus | Engineering Mathematics | GATE | GO Classes 28:00 | |||
| Intermediate Value Theorem | Calculus | Engineering Mathematics | GATE Computer Science 18:00 | |||
| Rolle's Theorem and Examples | Calculus | Engineering Mathematics | GATE Computer Science 13:00 | |||
| Integration with ALL GATE PYQs | Tic Tac Toe method | Engineering Mathematics | GO Classes 44:00 | |||
| Limits Annotated Notes (24 pages) | |||
| Continuity Annotated Notes (8 pages) | |||
| Differentiability Annotated Notes (7 pages) | |||
| Maxima and Minima Annotated Notes (15 pages) | |||
| Intermediate Value Theorems Annotated Notes (15 pages) | |||
| Annotated Notes Rolle theorem (11 pages) | |||
| Integration Annotated Notes (31 pages) | |||
| LIVE Session 1: Limit and Continuity | |||
| LIVE Session 1 Annotated Notes (86 pages) | |||
| LIVE Session 2: Differentiability | |||
| LIVE Session 2 Annotated Notes (107 pages) | |||
| LIVE Session 3: Double Derivative and Mean Value Theorems | |||
| LIVE Session 3 Annotated Notes (83 pages) | |||
| LIVE Session 4: Integration | |||
| LIVE Session 4 Annotated Notes (74 pages) | |||
| Calculus Quiz - Weekly Quiz 14 | |||
| Weekly Quiz 14 - Calculus (10 pages) | |||
| Annotated Notes - Calculus Quiz Discussion (70 pages) | |||
| Students' Hand Written Notes | |||
| Notes by Quantum City (AIR 107, GATE CS 2024, Shreyas Rathod) - Engineering Mathematics Notes (47 pages) | |||
| Linear Algebra Notes - by Aditya (121 pages) | |||
| Probability Notes - by Aditya (141 pages) | |||
| Handwritten Notes by Karan Agrawal (AIR 102 GATE CS 2024) - Linear Algebra | |||
| Handwritten Notes by Karan Agrawal (AIR 102 GATE CS 2024) - Probability | |||
| Handwritten Notes - Harshit Srivastava(AIR 168 GATE CSE & AIR 96 DA 2025) | |||
| 1.0 Linear Algebra I (139 pages) | |||
| 2.0 Probability (115 pages) | |||
| Limits (14 pages) | |||
| 3.0 Calculus (48 pages) | |||
| Linear Algebra(Himanshu Dutta - AIR 16 GATE 2024) (52 pages) | |||
| Probability((Himanshu Dutta - AIR 16 GATE 2024) (81 pages) | |||
| Handwritten Notes AIR 75 Mahek Garala (13 pages) | |||
| Handwritten Notes AIR 331 Shaikh Hasib (66 pages) | |||
| Linear Algebra Notes by AIR 67 Rich Amrutiya (113 pages) | |||
| Probability Notes by AIR 67 Rich Amrutiya (118 pages) | |||
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