SSC JE 2026 – IMD Scientific Assistant – Computer Science

Complete Computer Science Technical Course for SSC JE 2026 - Scientific Assistant in IMD

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About SSC JE 2026 – IMD Scientific Assistant – Computer Science

Prepare for SSC JE 2026 IMD Scientific Assistant with complete Computer Science & IT technical preparation for Paper 1 + Paper 2, PYQs and mock tests.

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*** ## Prepare for **SSC JE 2026 – Scientific Assistant in India Meteorological Department (IMD) – Computer Science & IT** with the AI-powered learning platform by **Knowledge Gate**. This course is specifically designed for aspirants appearing for **Part-D: Computer Science & Information Technology** in the SSC JE 2026 Scientific Assistant in IMD examination. It provides **complete Computer Science technical preparation for both Paper 1 and Paper 2** in a single course, helping students build strong fundamentals for Paper 1 and develop the conceptual depth, accuracy, and problem-solving ability required for Paper 2. **Important:** This course covers only the **Computer Science & Information Technology technical portion of Paper 1 and Paper 2**. For **Reasoning + General Awareness**, students can opt for the separate **SSC JE 2026 Non-Technical Course** or choose the **Complete Bundle**. > > The course combines comprehensive recorded lectures, a massive question bank, Previous Year Questions, exam-oriented practice, AI-powered personalized learning, smart progress analytics, competitive Leaderboard, and the latest > > **Battle & Direct Chat features** > > . *** 💻 Complete Computer Science Preparation: Prepare the complete technical syllabus required for **Scientific Assistant in IMD – Computer Science & IT**. ============================================================================================================= ## 📚 Computer Science & IT Subjects ### 1. Engineering Mathematics - Discrete Mathematics - Mathematical Logic - Sets, Relations & Functions - Graph Theory - Combinatorics - Linear Algebra - Calculus - Probability & Statistics ### 2. Digital Logic - Boolean Algebra - Number Systems - Combinational Circuits - Sequential Circuits - Logic Minimization - Computer Arithmetic ### 3. Computer Organization & Architecture - Machine Instructions - Addressing Modes - ALU - Datapath & Control Unit - Pipelining - Memory Hierarchy - Cache Memory - Input/Output - Interrupts & DMA ### 4. Programming & Data Structures - C Programming - Recursion - Arrays - Linked Lists - Stacks - Queues - Trees - Binary Search Trees - Heaps - Graphs ### 5. Algorithms - Searching - Sorting - Hashing - Time & Space Complexity - Greedy Algorithms - Dynamic Programming - Divide & Conquer - Graph Traversal - Minimum Spanning Tree - Shortest Path Algorithms ### 6. Theory of Computation - Regular Expressions - Finite Automata - Context-Free Grammars - Pushdown Automata - Pumping Lemma - Turing Machines - Decidability & Undecidability ### 7. Compiler Design - Lexical Analysis - Parsing - Syntax-Directed Translation - Runtime Environment - Intermediate Code Generation - Code Optimization - Data Flow Analysis ### 8. Operating Systems - Processes & Threads - System Calls - CPU Scheduling - Inter-Process Communication - Synchronization - Deadlocks - Memory Management - Virtual Memory - File Systems ### 9. Database Management Systems - ER Model - Relational Model - Relational Algebra - SQL - Integrity Constraints - Normalization - Indexing - B & B+ Trees - Transactions - Concurrency Control ### 10. Computer Networks - OSI & TCP/IP Models - Switching - Data Link Layer - Ethernet - Routing - IPv4 - CIDR - ARP - DHCP - ICMP - NAT - TCP & UDP - Flow & Congestion Control - Sockets - DNS - HTTP - SMTP - FTP - Email *** # 🎯 Paper 1 + Paper 2 Integrated Preparation Instead of studying Computer Science separately for both stages, this course provides a **single structured technical preparation journey**. ### Paper 1 Focus Build strong fundamentals, improve speed and accuracy, and practice objective Computer Science questions for the technical portion of Paper 1. ### Paper 2 Focus Go deeper into concepts and practice higher-level technical questions with greater emphasis on **accuracy, application, and final-merit performance**. This allows students to prepare the Computer Science syllabus once while progressively moving from **Paper 1 level to Paper 2 level**. *** # 🚀 AI-Powered Smart Learning System Prepare according to your target with Knowledge Gate's intelligent learning ecosystem. ### 🎯 Goal Slider Set your target score and build your preparation journey around your individual goal. ### 🧠 Personalized Roadmap Get a structured learning path based on your preparation level and progress. ### 🔍 AI-Based Weak Area Identification Identify Computer Science subjects and topics where you need additional practice and revision. ### 🤖 AI Recommendations Receive personalized learning and practice recommendations based on your performance. ### 📊 Smart Progress Tracking Monitor subject-wise and topic-wise preparation throughout your journey. *** # 🎥 Comprehensive Recorded Lectures Learn the complete Computer Science syllabus through detailed recorded lectures covering: - Fundamental concepts - Advanced concepts - Topic-wise explanations - Problem-solving techniques - Technical concepts - Exam-oriented preparation - Revision Study anytime and revisit important concepts whenever required. *** # 📝 Massive Computer Science Question Bank Practice through an extensive collection of: - Topic-wise MCQs - Subject-wise questions - Conceptual questions - Technical questions - Exam-level practice sets - Revision questions Regular practice helps improve **technical accuracy, conceptual clarity, speed, and exam confidence**. *** # 📖 Previous Year Questions (PYQs) Practice relevant Previous Year Questions to understand: - Actual technical exam trends - Frequently tested Computer Science topics - Important concepts - Question difficulty - Recurring technical patterns - Exam-oriented problem-solving approach PYQ practice helps you identify the concepts that matter most for the examination. *** # ⚔️ Battle – Challenge Students or AI Make your preparation more interactive with the **Battle Feature**. Students can: - Challenge another student - Compete against an AI opponent - Select a Computer Science topic - Test their technical knowledge - Compare performance - Improve speed and accuracy After completing a topic, immediately test your understanding against another student or AI. *** # 💬 Direct One-to-One Chat Connect directly with fellow learners through **one-to-one chat**. Use it to: - Discuss Computer Science concepts - Ask questions - Discuss difficult problems - Share preparation strategies - Interact with fellow aspirants - Build a collaborative learning environment *** # 🏆 Competitive Leaderboard Track your position among fellow aspirants through the **Knowledge Gate Leaderboard**. Monitor: - Rankings - Performance - Study activity - Practice consistency - Technical preparation - Learning progress Compete, improve, and stay consistent throughout your preparation. *** # 📈 Smart Progress Analytics Get a detailed view of your Computer Science preparation through: - Subject-wise performance - Topic-wise accuracy - Questions attempted - Practice performance - Weak areas - Improvement trends - Goal completion - Learning consistency *** # ⭐ Why Choose This Computer Science Course? - Complete **Computer Science & IT technical preparation** - Covers technical preparation**.** - Dedicated to **IMD Scientific Assistant – Computer Science & IT** - Comprehensive recorded lectures - Massive technical question bank - Relevant PYQs - AI-powered personalized learning - Goal Slider - Personalized Roadmap - AI-based weak area identification - AI recommendations - Battle with Students - Battle with AI - Direct one-to-one chat - Competitive Leaderboard - Smart performance analytics *** # 📦 Want Complete Preparation? For **Reasoning + General Awareness + Computer Science Technical preparation**, choose the: ### **SSC JE 2026 – IMD Scientific Assistant Complete Bundle** The bundle combines: **Non-Technical Course** Reasoning + General Awareness **+** **Computer Science Technical Course** Paper 1 + Paper 2 ### 🎯 **Master Computer Science. Prepare for Both Papers. Target Final Selection.**

SSC JE 2026 – IMD Scientific Assistant – Computer Science

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Course Price:₹1,999
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Course Curriculum

  1. Engineering Mathematics438 lessons

    • Set Theory25 lessons
    • Relations38 lessons
    • Functions18 lessons
    • Graph Theory71 lessons
    • Group Theory38 lessons
    • Propositional and Predicate Logic36 lessons
    • Linear Algebra74 lessons
    • Calculus110 lessons
    • Probability24 lessons
    • Statistics4 lessons
  2. Digital Logic184 lessons

    • Digital Systems & Boolean Basics8 lessons
    • Logic Gates & Hardware14 lessons
    • Boolean Expression26 lessons
    • Boolean Minimization26 lessons
    • Combinational Circuit35 lessons
    • Sequential Circuits41 lessons
    • Number System8 lessons
    • Number Representation14 lessons
    • Floating Point Rep12 lessons
  3. Computer Organisation & Architecture134 lessons

    • Basics of COA28 lessons
    • Cache Memory Organization38 lessons
    • Input Output Organisation18 lessons
    • Pipelining18 lessons
    • Instr Formats & Modes20 lessons
    • Control Unit Design12 lessons
  4. Programming & Data Structures266 lessons

    • C Fundamentals33 lessons
    • Control Flow13 lessons
    • Functions6 lessons
    • Arrays & Pointers20 lessons
    • Storage Classes, Structures & Enums10 lessons
    • DMA, Macros, Scoping & File Handling14 lessons
    • Introduction to DS8 lessons
    • Array15 lessons
    • Stack38 lessons
    • Queue15 lessons
    • Linked List20 lessons
    • Tree45 lessons
    • Graphs14 lessons
    • Hashing15 lessons
  5. Databases219 lessons

    • Basics of DBMS11 lessons
    • ER Diagram18 lessons
    • Relational Model & Functional Dependencies20 lessons
    • Keys & Integrity Constraints12 lessons
    • Normalization (1NF - BCNF)14 lessons
    • Decomposition Properties & 4NF5 lessons
    • File Organization & Indexing25 lessons
    • Relational Algebra19 lessons
    • SQL44 lessons
    • Relational Calculus9 lessons
    • Transaction Management33 lessons
    • Concurrency Control9 lessons
  6. Algorithms133 lessons

    • Algorithm Analysis26 lessons
    • Time Complexity Analysis22 lessons
    • Sorting Algorithms44 lessons
    • Greedy Algorithms12 lessons
    • Dynamic Programming12 lessons
    • Minimum Spanning Trees6 lessons
    • Shortest Path Algos11 lessons
  7. Theory of Computation212 lessons

    • Introduction to TOC17 lessons
    • Deterministic FA (DFA)49 lessons
    • Non-Deterministic FA31 lessons
    • Regular Expressions27 lessons
    • Grammar22 lessons
    • Regular Language Properties14 lessons
    • Moore & Mealy Machines10 lessons
    • Pushdown Automata & CFG21 lessons
    • Turing Machines19 lessons
    • Complexity Theory2 lessons
  8. Compiler Design147 lessons

    • Intro to Compilers14 lessons
    • Lexical Analysis5 lessons
    • Grammar & CFG37 lessons
    • Syntax Analysis: Top-Down20 lessons
    • Syntax Analysis: Bottom-Up23 lessons
    • Semantic Analysis & SDT11 lessons
    • Intermediate Code Gen20 lessons
    • Code Optimization14 lessons
    • Run Time Environment3 lessons
  9. Operating System204 lessons

    • Introduction to OS22 lessons
    • Process Management14 lessons
    • CPU Scheduling28 lessons
    • Process Synchronization25 lessons
    • Threads & Process Creation5 lessons
    • Deadlock21 lessons
    • Memory Management35 lessons
    • Virtual Memory23 lessons
    • Disc Scheduling12 lessons
    • File Management19 lessons
  10. Computer Networks249 lessons

    • Introduction to CN35 lessons
    • DLL: Access Control27 lessons
    • DLL: Flow Control14 lessons
    • DLL: Error Control19 lessons
    • DLL: Framing6 lessons
    • Data Link Layer - Ethernet9 lessons
    • Net Layer: IPv4 & Proto28 lessons
    • Net Layer: IP Addressing31 lessons
    • Net Layer:Routing Protocol15 lessons
    • Transport Layer Services22 lessons
    • TL: Congestion & UDP19 lessons
    • Application Layer16 lessons
    • Hardware Basics8 lessons

Instructors

Yash Jain, Sanchit Jain