Practice Question

Duration: 4 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 lecture demonstrates constructing a parse tree and a corresponding syntax tree for the arithmetic expression `2+3*4` using a context-free grammar with semantic translation rules. The instructor presents grammar rules defining how expressions (E), terms (T), and factors (F) are structured and how their semantic values (nptr) are computed using `mknnode`. The task is to apply these rules to the input string. The instructor systematically builds the parse tree from the root symbol 'E', expanding non-terminals until terminal symbols (identifiers) are reached. Subsequently, he translates this parse tree into a syntax tree by creating nodes for operators and operands, linking them according to the grammar's semantic actions. This process demonstrates how a compiler represents the structure of an expression for evaluation.

Chapters

  1. 0:00 – 2:00 00:00-02:00

    The instructor introduces the problem statement: "Consider the grammar with the following translation rules and E as the start symbol." He lists production rules with semantic actions. The task is to "Construct the parse tree for the expression: 2+3*4". He begins drawing the parse tree on the whiteboard. He starts with the root 'E' and expands it using the rule `E -> E + T`. He then expands the left 'E' down to 'T', then 'F', and finally to 'id', labeling the leaf as `id(2)`. Moving to the right side of the addition, he expands 'T' using `T -> T * F`. He further expands the left 'T' to 'F' and then to `id(3)`, and the right 'F' to `id(4)`. By the end of this segment, the hierarchical structure of the parse tree is fully drawn, showing the precedence of multiplication over addition.

  2. 2:00 – 3:36 02:00-03:36

    The instructor transitions from the parse tree to constructing the syntax tree (semantic tree). He draws rectangular boxes to represent nodes. He starts at the bottom with the leaf nodes, drawing boxes for `id(2)`, `id(3)`, and `id(4)`. He then moves up to the multiplication operator. He draws a box containing `*` and connects it to the nodes for `3` and `4`, representing the rule `T -> T1 * F`. Next, he constructs the node for the addition operator `+`. He draws a box with `+` and connects its left child to the node for `2` and its right child to the previously created `*` node. This reflects the rule `E -> E1 + T`. He labels the final root node as `E.nptr`, completing the syntax tree which correctly represents the expression `2 + (3 * 4)`.

The lecture effectively demonstrates the bottom-up construction of a syntax tree from a parse tree. By starting with the grammar rules and the input expression, the instructor shows how non-terminals are expanded to terminals in the parse tree. Then, by applying the semantic actions associated with each production rule, he builds a tree of nodes where operators are internal nodes and operands are leaves. This visual progression clarifies how the abstract syntax tree captures the precedence and associativity of operators, ensuring that multiplication is evaluated before addition in the final structure.

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