Size of an Array

Duration: 5 min

This video lesson is available to enrolled students.

Return to /learn/DSSSB-TGT-COMPUTER-SCIENCE-PAPER-2/programming-data-structures-oop-java/array/array-basics-ops/asset-size-of-an-array after enrolling

Inside: a video lesson and guided study material.

Module outline

  1. About Course: About the Course
  2. Programming, Data Structures, OOP & Java: C Fundamentals, Control Flow, Functions, Arrays & Pointers, Storage Classes, Structures & Enums, DMA, Macros, Scoping & File Handling, Introduction to DS, Array, Stack, Queue, Linked List, Tree, Graphs, Hashing, Java, OOPS with C++, Java Fundamentals, Array, String, IO & References, Language Design, Intro to Compilers, Visual Basics, Syntax Analysis: Bottom-Up, Object Oriented Technology
  3. Computer Networks, TCP/IP & Network Security: Introduction to CN, Data Communication, DLL: Flow Control, DLL: Access Control, DLL: Error Control, Data Link Layer - Ethernet, Net Layer: IPv4 & Proto, Net Layer: IP Addressing, Transport Layer Services, TL: Congestion & UDP, Application Layer, Hardware basics, Network Access Technologies, Network Security, Society, Law & Ethics, Cloud Computing, Mobile Computing, Net Layer:Routing Protocol, Cyber Safety and Security
  4. Teaching Methodology: Child Development, Concept of Pedagogy, Theories, Inclusive Education, Experiential Pedagogy, Assessment & Evaluation, Curriculum Framework & Reforms, National Education Policy (NEP) 2020, Psychology, Teaching-Learning Process, Personality Development, Teaching Methods & Strategies, Learning and Motivation, Learners & Learning Process, Factors Affecting Teaching, Methods of Teaching, Nature, Objectives & Characteristics of Teaching, Teaching-Learning Aids & ICT Integration, Classroom Management & Communication, Evaluation, Assessment & Measurement, Curriculum & School Environment, Inclusive Education & Special Needs, Professional Development & Ethics
  5. Digital Electronics / Boolean Logic: Digital Systems & Boolean Basics, Logic Gates & Hardware, Boolean Expression, Boolean Minimization, Combinational Circuit, Sequential Circuits, Number System, Number Representation, Analog-Digital Conversion
  6. Operating Systems & Linux: Introduction to OS, Process Management, CPU Scheduling, Process Synchronization, Threads & Process Creation, Deadlock, Memory Management, Virtual Memory, File Management, Disc Scheduling, Unix OS, Linux OS, Distributed Systems, Windows OS
  7. Data Base Management System: Basics of DBMS, ER Diagram, Relational Model & Functional Dependencies, Keys & Integrity Constraints, Normalization (1NF - BCNF), Decomposition Properties & 4NF, Relational Algebra, SQL, File Organization & Indexing, Transaction Management, Concurrency Control, Database Security & Authorization, Database Recovery, Data Warehousing & Mining
  8. Internet & Web Technologies: Website, Browser & Services, Internet Fundamentals, Web Design & Development, Protocols & Services, Web Publishing & Hosting, Server Side & Security, HTML Basics, CSS, Emerging Technologies, JavaScript-Basics, .Net Programming, Electronic Data Interchange and E-Commerce, XML
  9. Computer Fundamentals, IT Basics & Architecture: Basics of COA, Cache Memory Organization, Input Output Organisation, Register Transfer and Microoperations, Control Unit Design, Programming the Basic Computer, Terms & Abbreviations, MS Office Applications, Instr Formats & Modes, Floating Point Rep
  10. Python Language: Introduction to Python, Tokens, Variables, Data Types, I/O, Operators & Expressions, Control Flow & Looping, Collections & Strings, Functions & Modules, File Handling & Data Analysis
  11. Software Engineering: Fundamentals of Software Engineering, Software Requirements and Quality Assurance, Software Design, Estimation and Metrics, Software Testing, Software Maintenance and Configuration Management, extras, Fundamentals of Systems and Information Systems
  12. Design & Analysis of Algorithms: Algorithm Analysis, Time Complexity Analysis, Sorting Algorithms, Greedy Algorithms, Dynamic Programming, Minimum Spanning Trees, Shortest Path Algos, Advanced Algorithms
  13. Mathematics - I, II, III, IV: Permutation and Combination, Logarithm, Linear Algebra, Algebra, Calculus, Trigonometry, Vectors, Set Theory, Functions, Relations, Propositional and Predicate Logic, Research Process Steps, Graph Theory
  14. Computer Graphics, Multimedia & Mobile Computing: Basics of Computer Graphics, 2-D Geometrical Transforms and Viewing, 3-D Object Representation, Geometric Transformations and Viewing, Multimedia
  15. Emerging Trends: Emerging Tech Trends, Knowledge Representation, Natural Language Processing
  16. Statistical Techniques: Probability, Statistics
  17. Interpolation - DI: Data Interpretation
  18. Basis of Physics: Physics
  19. Previous Year Paper:
  20. Business Studies and Management: Business Communication, Business Organization and Management, Financial Accounting, Business Economics, Management Information System (MIS), Knowledge Management & New Economy
AI summary & chapters

AI Summary

An AI-generated summary of this video lecture.

This lecture introduces how to calculate the size of an array using bounds and element byte sizes. It begins with the formula Number of elements = (Upper bound – Lower Bound) + 1, defining lower and upper bounds as the first and last indices. The instructor then uses a hand-drawn array diagram with indices 1 through 8, labeling LB at index 1 and UB at index 8, and substitutes values to show (8 - 1) + 1. Additional examples include zero-based indexing and negative indices, such as (2-0)+1=3 and (1-(-6))+1 = 7+1 = 8, demonstrating that the formula works regardless of indexing style. The lesson transitions to types of array indexing—zero-based, one-based, and n-based—and later returns to the size formula. Finally, it introduces memory size calculation using Size = number of elements * Size of each element in bytes, with a worked example showing 8 × 2B = 16B. A memory location table maps indices to stored letters, reinforcing how array elements occupy consecutive addresses.

Chapters

  1. 0:00 – 2:00 00:00-02:00

    The slide titled “Size of an array” displays the formula “Number of elements = (Upper bound – Lower Bound) + 1,” with bullets defining the lower bound as the index of the first element and the upper bound as the index of the last element. The instructor gestures with a pen while explaining, then draws a row of boxes to represent an array. Numbers 1 through 8 are written above the boxes, and arrows label the first index as LB and the last as UB. The instructor substitutes these values into the formula, showing (8 - 1) + 1 to calculate the number of elements.

  2. 2:00 – 5:00 02:00-05:00

    The instructor continues applying the size formula to different indexing schemes. A second example uses indices from 0 to -7, with calculations such as (2-0)+1=3 and (1-(-6))+1 = 7+1 = 8, illustrating that negative bounds still yield the correct element count. The lecture then shows a slide titled “Types of indexing in array:” listing zero-based, one-based, and n-based indexing, with red underlines emphasizing the options. Returning to the “Size of an array” slide, the instructor writes 8 - 1 + 1 above the formula and reinforces the LB/UB diagram. A cartoon appears with a doctor saying “Array Index starts from 1,” humorously reinforcing one-based indexing.

  3. 5:00 – 5:18 05:00-05:18

    The final section shifts to calculating total memory size using the formula “Size = number of elements * Size of each element in bytes.” A green table labeled “Memory Location” shows columns 200–206 containing letters U, B, F, D, A, E, C over indices 0–6. The instructor underlines “number of elements” and then the entire formula, followed by a red worked example: = 8 X 2B, then = 16B. This connects the earlier element-count formula to byte-level memory allocation for a one-dimensional array.

The lecture progresses from defining array bounds to applying the element-count formula across multiple indexing conventions, then extends to memory size calculation. The central idea is that array size in elements depends only on the difference between upper and lower bounds plus one, independent of whether indices are positive, negative, zero-based, or one-based. The instructor supports this with visual diagrams and step-by-step substitutions, ensuring students can identify LB and UB in any array representation. The final transition to byte size introduces the practical memory formula, linking logical element count to physical storage requirements. Key exam-relevant points include memorizing both formulas, recognizing indexing types, and interpreting memory location tables.

Loading lesson…