Practice Question

Duration: 3 min

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Module outline

  1. Quantitative Ability: Percentage, Profit and Loss, Ratio and Proportion (Ratios), Average, Time and Work, Speed Time and Distance, Simple Interest and Compound Interest, Age Problems, Number System, Divisibility Rules, HCF LCM, Algebra, Permutation and Combination, Probability, Data Interpretation, Logarithm, Sequence and Series (Series), Powers and Exponents (Surds and Indices), Speed Mathematics and Basic Mathematics
  2. Logical Reasoning: Seating Arrangements, Puzzle Solving (Puzzles), Data Arrangement, Coding Decoding, Blood Relations, Directions (Direction Test), Ranking, Order and Sequence, Data Sufficiency, Venn Diagram, Inequality, Series (Number and Letter Series) (Numerical Relations and Reasoning), Logical Sequence Of Words, Deductive and Inductive Reasoning (Logical Deduction and Induction) (Prepositional Reasoning), Selection Decision Table (Decision Making), Analogy, Non Verbal Reasoning (Spatial Aptitude) (Spatial Reasoning) (Visual Reasoning)
  3. Verbal Ability: Comprehension / Reading Comprehension / Unseen Passages (Critical Reasoning) (Paragraph Questions), Subject Verb Agreement (Verb Noun Agreement), Tenses, Articles, Preposition, Conjunction, Modals, Active Passive Voice (Voice), Direct and Indirect Speech, Vocabulary, Sentence Re-arrangements (Para Jumbles) (Narrative Sequencing), Sentence Completion (Fill in the blanks), Sentence Correction (Error Correction), Cloze Test (Cloze Passage), Facts, Inference and Judgements
  4. Programming Fundamentals (Technical): C Fundamentals
  5. Data Structures (Technical): Introduction to DS, Array, Stack, Queue, Linked List, Tree, Graphs, Hashing
  6. Algorithms (Technical): Algorithm Analysis, Sorting Algorithms, Greedy Algorithms, Dynamic Programming, Minimum Spanning Trees, Shortest Path Algos, Time Complexity Analysis, Advanced Algorithms
  7. OOPs (Technical): Object Oriented Programming (OOPS)
  8. DBMS (Technical): Basics of DBMS, ER Diagram, Relational Model & Functional Dependencies, Keys & Integrity Constraints, Normalization (1NF - BCNF), Decomposition Properties & 4NF, File Organization & Indexing, Relational Algebra, Relational Calculus, Transaction Management, Concurrency Control, Database Recovery, ORDBMS, Database Security & Authorization, Query Processing & Optimization, Enhanced Data Models, Data Warehousing & Mining, Big Data Systems, NoSQL
  9. SQL (Technical): SQL
  10. Operating Systems (Technical): Introduction to OS, Process Management, CPU Scheduling, Process Synchronization, Deadlock, Threads & Process Creation, Memory Management, Virtual Memory, Disc Scheduling, File Management, Windows OS, Linux OS, Security, Distributed Systems, Virtual Machines
  11. Computer Networks (Technical): Introduction to CN, Data Communication, DLL: Access Control, DLL: Flow Control, DLL: Error Control, DLL: Framing, Data Link Layer - Ethernet, Net Layer: IPv4 & Proto, Net Layer: IP Addressing, Net Layer:Routing Protocol, Transport Layer Services, TL: Congestion & UDP, Application Layer, Hardware basics, Network Security, Mobile Technology, Cloud Computing and IoT, Cyber and Info Security
  12. Software Engineering (Technical): Fundamentals of Software Engineering, Software Requirements and Quality Assurance, Software Design, Estimation and Metrics, Software Testing, Software Maintenance and Configuration Management
  13. Coding/Automata Round: Coding Questions by Yash Sir, C Programming by Yash Sir, Programming in C++, Java, Python for Placements by Yash Sir, Pseudo Codes
  14. Personality / Behavioral Assessment: Behavioral Assessment (Behavioral Competency Profiling) (Psychometric Test)
  15. Writing Assessment: English Writing Ability
AI summary & chapters

AI Summary

An AI-generated summary of this video lecture.

This educational video demonstrates how to calculate the memory address of a specific element within a two-dimensional array using the Row Major Order storage scheme. The instructor presents a specific problem where the array A has non-standard indexing ranges: rows from 5 to 15 and columns from -8 to 8. The total dimensions are given as A[11][17]. The problem asks for the address of element A[8][5]. Essential parameters are provided: a Base Address of 800 and an element size of 4 memory cells. The lecture walks through the derivation of the address calculation formula and applies it to solve the numerical problem, highlighting the handling of negative lower bounds.

Chapters

  1. 0:00 – 2:00 00:00-02:00

    The session begins with the problem statement displayed on screen: Q A[5.....15, -8.....8] is A[11][17] and we are supposed to find A[8][5]. The instructor identifies the given values: Row Major Order, Base Address = 800, and element size w = 4. He writes the general formula for Row Major Order on the board: A[i, j] = B + w * [(i - li) (ul - ll + 1) + (j - lj)]. He explicitly defines the lower and upper limits for rows (li=5, ui=15) and columns (lj=-8, uj=8). He notes that the term (ul - ll + 1) represents the total number of columns, which is 17. He sets up the substitution for the target element A[8][5], identifying i=8 and j=5.

  2. 2:00 – 3:14 02:00-03:14

    The instructor performs the arithmetic substitution. He writes 800 + 4 * [(8 - 5) * 17 + (5 - (-8))]. He calculates the row difference (8 - 5) as 3. He calculates the column difference (5 - (-8)) as 13. He multiplies the row difference by the column count: 3 * 17 = 51. He adds the column difference to this product: 51 + 13 = 64. This sum represents the total number of elements skipped. He multiplies this by the element size: 4 * 64 = 256. Finally, he adds this offset to the base address: 800 + 256, resulting in the final address 1056.

The video provides a clear, step-by-step guide to memory address calculation for 2D arrays. It emphasizes the formula's structure, particularly how the row index is weighted by the total column count. The example with negative lower bounds serves as a practical test of understanding the (index - lower_limit) component of the formula. The final calculation confirms the address is 1056, reinforcing the method for handling non-zero-based indexing in programming and data structures.

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