Practice Questions

Duration: 2 min

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Inside: a video lesson and guided study material.

Module outline

  1. About Course: About the Course
  2. General Aptitude & Reasoning: Number System, Percentage, Ratio and Proportion (Ratios), Average, Profit and Loss, Simple Interest and Compound Interest, Time and Work, Speed Time and Distance, Mixture and Alligation, Data Interpretation, Algebra, Probability, Permutation and Combination, Venn Diagram, HCF LCM, Divisibility Rules, Age Problems, Pipe and Cistern, Partnership, Linear Algebra, Sequence and Series (Series), Statistics, Powers and Exponents (Surds and Indices), Arithmetic, Mensuration and Geometry, Calculus, Trigonometry, Vectors, Speed Mathematics and Basic Mathematics, Non Verbal Reasoning (Spatial Aptitude) (Spatial Reasoning) (Visual Reasoning), Analogy, Series (Number and Letter Series) (Numerical Relations and Reasoning), Puzzle Solving (Puzzles), Syllogisms, Deductive and Inductive Reasoning (Logical Deduction and Induction) (Prepositional Reasoning), Calendar, Seating Arrangements, Coding Decoding, Blood Relations, Directions (Direction Test), Clock, Analytical Reasoning (Counting Figures Reasoning), Ranking, Order and Sequence, Logical Sequence Of Words, Inequality, Data Sufficiency, Cubes & Dices
  3. Computer Networks & Cybersecurity: 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
  4. Programming, Data Structures & Algorithms: C Fundamentals, Control Flow, Functions, Arrays & Pointers, Storage Classes, Structures & Enums, DMA, Macros, Scoping & File Handling, OOPS with C++, Introduction to DS, Array, Stack, Queue, Linked List, Tree, Graphs, Hashing, Algorithm Analysis, Time Complexity Analysis, Sorting Algorithms, Greedy Algorithms, Dynamic Programming, Minimum Spanning Trees, Shortest Path Algos, Advanced Algorithms
  5. AI, Machine Learning, Big Data & Cloud: Emerging Tech Trends, Artificial Intelligence, Big Data Systems, Approaches to AI, Search Algorithms, Knowledge Representation, Cloud Computing
  6. Digital Logic & Computer Organization: Digital Systems & Boolean Basics, Logic Gates & Hardware, Boolean Expression, Boolean Minimization, Combinational Circuit, Sequential Circuits, Number System, Number Representation, Basics of COA, Floating Point Rep, Cache Memory Organization, Input Output Organisation, Pipelining, Instr Formats & Modes, Register Transfer and Microoperations, Control Unit Design, Programming the Basic Computer
  7. TOC & Compiler: Introduction to TOC, Deterministic FA (DFA), Non-Deterministic FA, Regular Expressions, Grammar, Regular Language Properties, Moore & Mealy Machines, Pushdown Automata & CFG, Turing Machines, Complexity Theory, Intro to Compilers, Lexical Analysis, Grammar & CFG, Syntax Analysis: Top-Down, Syntax Analysis: Bottom-Up, Semantic Analysis & SDT, Intermediate Code Gen, Code Optimization, Run Time Environment
  8. Discrete Mathematics: Set Theory, Relations, Functions, Graph Theory, Group Theory, Propositional and Predicate Logic
  9. Operating System: Introduction to OS, Process Management, CPU Scheduling, Process Synchronization, Threads & Process Creation, Deadlock, Memory Management, Virtual Memory, Disc Scheduling, File Management, Unix OS, Linux OS, Distributed Systems
  10. Software Engineering: Fundamentals of Software Engineering, Software Requirements and Quality Assurance, Software Design, Estimation and Metrics, Software Testing, Software Maintenance and Configuration Management, Object Oriented Technology, HTML Basics, JavaScript-Basics, Java, XML
  11. Database Management System: Basics of DBMS, ER Diagram, Relational Model & Functional Dependencies, Keys & Integrity Constraints, Normalization (1NF - BCNF), Decomposition Properties & 4NF, File Organization & Indexing, Relational Algebra, SQL, Relational Calculus, Transaction Management, Concurrency Control, Database Recovery, Data Warehousing & Mining, Enhanced Data Models, NoSQL
  12. Other Recurring CS Topics: Basics of Computer Graphics, 2-D Geometrical Transforms and Viewing, Multimedia
  13. Live Classes: ISRO Live classes
  14. Full Mock Test:
AI summary & chapters

AI Summary

An AI-generated summary of this video lecture.

This educational segment focuses on formal language theory, specifically the computation of First and Follow sets for context-free grammars. The instructor presents two separate problems to illustrate the methodology. The first problem involves a grammar generating binary strings, while the second deals with an arithmetic expression grammar. Throughout the session, the instructor writes the production rules and the resulting sets in red ink, providing a clear visual guide for students learning compiler design concepts. The lecture emphasizes the systematic approach required to handle epsilon productions and multiple alternatives in grammar rules. The instructor's methodical derivation helps students understand how to trace symbols through production rules to find the initial terminals.

Chapters

  1. 0:00 – 1:53 00:00-01:53

    The session opens with the grammar S -> 0S' / 1S' and S' -> 0S1S' / epsilon displayed in orange text. The instructor identifies the terminals 0 and 1 to determine First(S) = {0, 1}. He then analyzes S', noting it can produce 0 or epsilon, leading to First(S') = {0, epsilon}. The video then shifts to a new grammar: R -> (R)R' / aR' / bR' and R' -> +RR' / RR' / *R' / epsilon. He calculates First(R) by looking at the start symbols of the right-hand sides, resulting in {(, a, b}. For First(R'), he considers the terminals +, *, and epsilon, as well as the fact that R' can derive R which starts with (, a, or b, resulting in First(R') = {+, *, epsilon, (, a, b}. The instructor writes these sets in red ink next to the black text labels First(R) and First(R'). The visual layout clearly separates the grammar rules from the calculated sets, aiding student comprehension. The instructor's gestures and focus on specific parts of the equations guide the viewer through the logical steps.

The lecture effectively bridges theoretical definitions with practical calculation. By moving from a simple binary grammar to a more complex arithmetic one, the instructor reinforces the rules for handling epsilon and recursive productions. The step-by-step derivation of First sets serves as a crucial precursor to building predictive parsing tables, a key topic in compiler construction courses. The visual progression from problem statement to solution highlights the logical flow of parsing theory. Understanding these sets is fundamental for constructing LL(1) parsers, which are essential for modern compiler front-ends. The clear distinction between terminals and non-terminals in the examples aids in grasping the core concepts of formal grammars.

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