MPPSC Assistant Professor Computer Science Paper 2 2026

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MPPSC Assistant Professor Computer Science Paper 2 2026
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About MPPSC Assistant Professor Computer Science Paper 2 2026

Structured preparation for MPPSC Assistant Professor Computer Science 2026 by Sanchit Sir with complete syllabus coverage.

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The MPPSC Assistant Professor Computer Science Paper 2 2026 course is a structured and comprehensive programme designed by Sanchit Sir for aspirants preparing for the subject-specific Computer Science paper of the Madhya Pradesh Public Service Commission Assistant Professor examination. The course provides comprehensive syllabus coverage through a concept-driven and exam-oriented approach. It helps learners develop a strong understanding of core Computer Science subjects, improve their problem-solving ability, and prepare effectively through structured lessons, question practice, previous-year question-based learning, and systematic revision. This course is ideal for postgraduate Computer Science students, teaching aspirants, and working professionals seeking focused and well-organised preparation for MPPSC Assistant Professor Paper 2. It enables learners to strengthen their fundamentals, practise important questions, and confidently prepare for the 2026 examination.

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Course Curriculum

  1. About Course2 lessons

    • About the Course2 lessons
  2. Paper 2 | Discrete Mathematical Structure218 lessons

    • Digital Systems & Boolean Basics6 lessons
    • Logic Gates & Hardware
    • Boolean Expression24 lessons
    • Boolean Minimization26 lessons
    • Set Theory15 lessons
    • Relations27 lessons
    • Functions10 lessons
    • Graph Theory27 lessons
    • Group Theory38 lessons
    • Propositional and Predicate Logic24 lessons
    • Probability20 lessons
  3. Paper 2 | Digital Computer Organization And Architecture265 lessons

    • Number System5 lessons
    • Number Representation14 lessons
    • Sequential Circuits41 lessons
    • Combinational Circuit40 lessons
    • Basics of COA25 lessons
    • Floating Point Rep5 lessons
    • Cache Memory Organization30 lessons
    • Input Output Organisation18 lessons
    • Pipelining17 lessons
    • Instr Formats & Modes20 lessons
    • Register Transfer and Microoperations19 lessons
    • Control Unit Design13 lessons
    • Programming the Basic Computer17 lessons
  4. Paper 2 | C Programming99 lessons

    • C Fundamentals31 lessons
    • Control Flow13 lessons
    • Functions6 lessons
    • Arrays & Pointers20 lessons
    • Storage Classes, Structures & Enums8 lessons
    • DMA, Macros, Scoping & File Handling21 lessons
  5. Paper 2 | Programming Languages & Object-Oriented Programming Concepts82 lessons

    • Object Oriented Programming (OOPS)14 lessons
    • Programming in C++22 lessons
    • Java46 lessons
  6. Paper 2 | Python268 lessons

    • Introduction to Python16 lessons
    • Tokens, Variables, Data Types, I/O20 lessons
    • Operators & Expressions20 lessons
    • Control Flow & Looping24 lessons
    • Collections & Strings61 lessons
    • Functions & Modules40 lessons
    • File Handling & Data Analysis86 lessons
  7. Paper 2 | Data Structure And Algorithms317 lessons

    • Introduction to DS8 lessons
    • Array15 lessons
    • Stack38 lessons
    • Queue15 lessons
    • Tree57 lessons
    • Linked List20 lessons
    • Graphs17 lessons
    • Hashing15 lessons
    • Algorithm Analysis26 lessons
    • Time Complexity Analysis45 lessons
    • Sorting Algorithms44 lessons
    • Greedy Algorithms8 lessons
    • Minimum Spanning Trees6 lessons
    • Advanced Algorithms2 lessons
  8. Paper 2 | Operating System208 lessons

    • Introduction to OS22 lessons
    • Process Management14 lessons
    • CPU Scheduling28 lessons
    • Process Synchronization25 lessons
    • Deadlock21 lessons
    • Threads & Process Creation5 lessons
    • Memory Management35 lessons
    • Virtual Memory22 lessons
    • Disc Scheduling12 lessons
    • File Management19 lessons
    • Unix OS4 lessons
  9. Paper 2 | Theory Of Computation213 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
  10. Paper 2 | Compiler Design133 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 Gen7 lessons
    • Code Optimization14 lessons
    • Run Time Environment2 lessons
  11. Paper 2 | Database Management System261 lessons

    • Basics of DBMS18 lessons
    • ER Diagram18 lessons
    • Relational Model & Functional Dependencies20 lessons
    • Keys & Integrity Constraints12 lessons
    • Normalization (1NF - BCNF)17 lessons
    • Decomposition Properties & 4NF9 lessons
    • Relational Algebra20 lessons
    • SQL44 lessons
    • Transaction Management33 lessons
    • Concurrency Control15 lessons
    • Database Recovery18 lessons
    • Database Security & Authorization8 lessons
    • Enhanced Data Models28 lessons
  12. Paper 2 | Computer Network And Information Security116 lessons

    • Introduction to CN35 lessons
    • Data Communication6 lessons
    • Net Layer: IPv4 & Proto8 lessons
    • Application Layer34 lessons
    • Hardware basics10 lessons
    • Cyber Threats and Malware Attacks22 lessons
  13. Paper 2 | Software Engineering102 lessons

    • Software Process Models17 lessons
    • Software Requirements16 lessons
    • Software Design13 lessons
    • Software Quality4 lessons
    • Estimation and Scheduling16 lessons
    • Software Testing27 lessons
    • Software Configuration Management8 lessons
  14. Paper 2 | Current Trends & Technologies293 lessons

    • Emerging Tech Trends22 lessons
    • Approaches to AI18 lessons
    • Search Algorithms14 lessons
    • Game Playing20 lessons
    • Knowledge Representation32 lessons
    • Planning16 lessons
    • Multi Agent Systems23 lessons
    • Fuzzy Sets26 lessons
    • Natural Language Processing7 lessons
    • Artificial Neural Networks36 lessons
    • Genetic Algorithms13 lessons
    • Artificial Intelligence17 lessons
    • Data Warehousing & Mining33 lessons
    • Electronic Data Interchange and E-Commerce15 lessons

Instructors

Sanchit Jain