Home Exam Pattern MPPSC DSP Syllabus 2021 PDF | Check Now

MPPSC DSP Syllabus 2021 PDF | Check Now

MPPSC DSP Syllabus 2021 PDF | Check Now: Are you searching for MPPSC DSP Syllabus 2021? If Yes, You are in the right place. Madhya Pradesh Public Service Commission (MPPSC) has officially released the MPPSC DSP Recruitment. All such interested candidates are eagerly checking and preparing for the examination. Here we were providing the syllabus and Exam Pattern to score more marks in the MPPSC DSP Syllabus 2021. Not only the Syllabus you can also get the Exam Pattern from this page. So, candidates can prepare for the MPPSC DSP Examination without any disturbance. To the bottom of this page, you can easily get the MPPSC DSP Syllabus 2021 & Exam Pattern For Subject Wise Syllabus in PDF Format. The candidates can use this article to get more marks and ideas about the examination.

MPPSC DSP Exam Syllabus 2021 PDF – Overview

MPPSC DSP Exam Syllabus 2021
MPPSC DSP Exam Syllabus 2021
Check MPPSC DSP Exam Pattern 2021 PDF Details
OrganizationMadhya Pradesh Public Service Commission (MPPSC)
Post NameDeputy Superintendent of Police (DSP) (Radio) and Deputy Superintendent of Police (DSP) (Computer)
SyllabusAvailable Now
Job LocationMadhya Pradesh
Official websitemppsc.nic.in

MPPSC DSP Exam Pattern 2021

  • Every question will have 4 options (A, B, C, D).
  • Questions will be in the form of MCQs.
PaperMaximum Marks
Part – A (General Studies)150 Marks
Part – B (DSP Radio) and (DSP Computer)300 Marks
Total450 Marks

MPPSC DSP Syllabus 2021 PDF

Part A: General Studies:

History culture and literature of M.P.

  • Important Historical events and Major dynasties of M.P.
  • Contribution of Madhya Pradesh in the Independence movements.
  • Art, Architecture, and culture of M.P.
  • Main Tribes and Dialects of M.P.
  • Main festivals, folk music, and folk art of M.P.
  • Important literary figures of M.P. and their literature.
  • Main Tourist places of M.P.
  • Important personalities of M.P.

Geography of the Madhya Pradesh

  • Forest, Mountain, and Rivers of M.P.
  • The climate of M.P.
  • Natural and mineral resources of M.P.
  • Energy Resources: Conventional and Non- conventional.
  • Main irrigation and Power projects of M.P.

Politics and Economy of M.P.

  • The political system of M.P. (Governor, Cabinet, Legislative Assembly).
  • Panchayati Raj in M.P.
  • The social system of M.P.
  • Demography and census of M.P.
  • Economic development of M.P.
  • Main industries of M.P.
  • Agriculture and Agri-based industries in M.P.

Current events of International, National, and M.P.

  • Important Contemporaneous events.
  • Famous sports competitions; awards and sports institutions of the State and country.
  • Welfare schemes of M.P. state.
  • Famous personalities and Places.

Information and Communication Technology

  • Electronics, computers, information, and communication technology.
  • Robotics, artificial intelligence, and cyber security.
  • E-Governance.
  • Internet and Social networking site.
  • E-Commerce.

Part -B: DSP (Radio) & DSP (Computer)


ENGINEERING (For both objective and conventional type papers)

1. Physical Electronics, Electron Devices, and ICS
Electrons and holes in semiconductors. Carrier statistics. Mechanism of current flow in a semiconductor. Hall effect. Junction theory; Different types of diodes and their characteristics; Bipolar junction transistor; Switching characteristics of diodes and transistors; Field effect transistors; Power switching devices like SCRs. GTOs, Power MOSFETs; Basics of ICs-bipolar, MOS, and CMOS types; Basics of Optoelectronics.

2. Signals and Systems
Classification of signals and systems, Basic signals. System modeling in terms of differential and difference equations; State variable representation; Fourier series, Fourier transforms and their application to system analysis; Convolution and superposition integrals and their applications; Z- transforms and their applications to the analysis and characteristics of discrete-time systems; Random signals and probability. Correlation functions; Spectral density; Response of linear system to random inputs.

3. Network Theory
Network analysis techniques: Network theorems. Transient response steady-state sinusoidal response; Network graphs and their applications in network analysis; Network theorems, Tellegen’s theorem, Maxim power transfer. Two-port networks: Z, Y, h, and transmission parameters. Combination of two ports. Analysis of common two ports. Network functions; Parts of network functions. Obtaining a network function from a given part. Transmission criterion: Delay and rise time; Elmore’s and another definition effect of cascading elements of network synthesis. Driving point and transfer functions. State
equations for networks.

4. Electromagnetic Theory
Analysis of electrostatic and magnetostatic fields; Laplace’s and Poison’s equations; Boundary value problems and their solutions; Maxwell’s equations: Application to wave propagation in bounded and unbounded media; Transmission lines: Basic theory. Standing waves. Matching applications, Microstrip lines; Basics of waveguides and resonators: Elements of antenna theory. Radar and optical fibers.

5. Electronic Measurement and Instrumentation
Basic concepts, standards, and error analysis; Measurements of basic electrical quantities and parameters; Bridge measurement. Cathode ray oscilloscope. Electronic measuring instruments and their principles of working: analog and digital, comparison characteristics and applications, Transducers. Signal converters, Data acquisition, and conversion

Conventional Type Paper

1. Analog Electronic Circuits
Transistor biasing and stabilization. Small signal analysis. Power amplifiers. Frequency response. Cascade amplifiers. Wide banding techniques. Feedback amplifiers. Tuned amplifiers and applications. Oscillators, Rectifiers, and power supplies. Op-Amp and other linear integrated circuits and applications. Pulse shaping circuits and waveform generators, 555 timer and its applications.

2. Digital Electronic Circuits
Transistor as a switching element. Boolean algebra. Simplification of Boolean functions, Karnaugh map and applications, IC Logic gates and their characteristics: IC logic families: DTL, TTL, ECL, NMOS and CMOS gates and their comparisons; Interfacing between TTL and MOS; Combinational logic circuits; Half adder. Full adder; Digital comparator. Multiplexer, Demultiplexer, ROM, and their applications. Various flip flops; Different types of counters and resisters; Waveform generators, A/D and D/A convertors. Semiconductor memories: Organization and construction of RAM, SRAM, DRAM, RAMBUS ROM, PROM, EPROM, EEPROM, PAL, and PLAs, etc.

3. Control Systems
Modeling of dynamic systems; Transient and steady-state response of control systems; Effect of feedback on stability and sensitivity; Time-domain analysis of closed-loop systems; Solution of state equations; Root locus techniques; Frequency response analysis. Concepts of gain and phase margins; Constant-M and Constant-N Nichol’s Chart; Approximation of transient response from Constant-N Nichol’s Chart; Observability & controllability of systems. Frequency-domain compensation.

4. Communication Systems
Basic information theory; Modulation and detection in analog and digital systems; Sampling and data reconstruction. Quantization and coding; Time division and frequency division multiplexing. Equalization; Optical Communication: in free space and fiber optic; Propagation of signals at HF, VHF, UHF and microwave frequency; Satellite communication; Mobile and spread spectrum communication; Digital switching systems.

5. Microwave Engineering
Microwave tubes and solid-state devices. Microwave generation and amplifiers. Waveguides and other microwave components and circuits, Microstrip circuits. Microwave antennas. Microwave networks and component transmission line ports of microwave networks. Microwave measurements, Masers lasers; Microwave propagation. Microwave communication systems-terrestrial and satellite-based.

5. Computer Engineering
Number systems; Data representation; Programming; Elements of a high-level programming language C. Use of basic data structures; Fundamentals of computer architecture; Processor design; Control unit design; Memory organization. I/O System organization. Microprocessors: Architecture and instruction set of microprocessors 8085 and 8086. Input-output interfacing. 8051 Interfacing, applications and serial communication. Assembly language programming. Microprocessor-based system design: Typical examples. Personal computers and their typical uses.

DSP (Computer) Syllabus:

Computer Architecture, Organization, Parallel & Distributed Computing:

Number systems and coding Schemes, Von-Neumann Model: Introduction to Computer Hardware: Block Diagram of Computer -CPU, I/O, and Memory  & Operating System; Types of CPU; Various I/O Devices; Buses and I/O Mechanisms; Memory Hierarchy; Hardware and Software Concepts; Hard wired and Micro Programmed Control; Memory and Fetch cycles; Secondary storage systems; Computer Arithmetic; Number Systems, Integer Arithmetic, Floating-point Arithmetic; Assembly and Machine Language Programming; PC Architecture;; Digital Logic Design. Introduction to Multiprocessors. Parallel computing -Flynn’s classification; Array Processing, Pipelining, and Multiprocessing; Distributed computing Fundamentals

Computer Programming, Data Structures & Object-Oriented Analysis, and Design:

Fundamentals of Computer Programming, Programming Languages, Programming Environments, Flowchart, Algorithms, and pseudo coding; Program Design Concept; various data types; Control Structures – Sequence, condition, unconditional. Iteration; Recursive Procedure and functions; Data structures – Arrays, strings, structures, pointers. Files, Linked lists. Stack, Queue, trees, graphs, records, sets; Programming in C / C++; Object-orientation concepts – Inheritance, Polymorphism, and data Encapsulation; Agents, Responsibility^ Messages and methods; RDD and CRC; Objects and Classes; Components and Frameworks; Coupling and Cohesion; Classes and Methods in C++, Java, and Small Talk; Basic concepts of UML; class diagrams, interaction diagrams and object diagrams, object-oriented databases. Process – Macro and Micro Process and Pragmatics- Management, Planning, Staffing, Quality Assurance. Python, PHP.

System Programming and Operating Systems:

Introduction, Concepts of System Programs; system programming tools – Lex, YACC, Parsers; Operating system Concepts – types of OS; OS – functions Services and policies;  Process Management; multithread programming, CPU scheduling; process. coordination: synchronization, deadlocks; I/O management; memory and storage management, virtual memory; File system and Management; a Case study of DOS, Unix, and windows.

Numerical Computation, Algorithm Design, and Complexity of Computing:

Errors – Types and causes; Handling techniques; Root finding Polynomials and transcendental equations; solution of linear systems of equations; Gauss Elimination, Gauss Jordan and Gauss-Seidel methods; Interpolation methods, polynomials, rational functions, trigonometric, spline functions; Curve Fitting Numerical differentiation and integration, extrapolation, Gaussian integration, Eigenvalues, and Eigenvector Computation, Linear equations, Gaussian elimination, orthogonalization. Data fitting. Computer Programming of Numerical Problems; C programs for Numerical Computation; Time and space complexity of algorithms and Programs, Big-O, 0, Big Notations; Complexity of Sorting – Heap Sort, Fibonacci Heaps, searching – Binary search Trees, Red-Black Trees, Amortized Analysis, Splash Trees; Matrix Algorithms; Dynamic Programming; Greedy methods; Prune and Search, Divide and conquer method; Asymptotic Considerations; P, NP. NC classes of Algorithms; NP-Completeness; Heuristic and Non – Deterministic approaches to algorithms; Depth-First, Breadth-First, Branch and Bound Algorithms; A* & AO* Algorithms shortest path computation; TSP.

Theoretical Foundations of Computing:

Discrete structures – Sets, Logic; Counting Techniques and Combinations; relations and functions; graphs and trees; Algebraic systems – Groups, Rings, Fields, Lattices and Boolean Algebras; Applications in Computer Science, Regular languages – Grammars, Expressions, Linear languages. Context-free languages – CKY and Earley s Parsing Algorithms; Automata Theory – Finite State Machine, Push down Automaton, Context-sensitive Languages, Recursively enumerable languages. Tuning Machine; Formal Language Theory – Chomsky Hierarchy; Computability and Decidability; Theory of program correctness; Predicate Calculus

Artificial Intelligence and Neural Networks:

Basic Principles of AI – search. Heuristics; Non-Determinism; Computer-Assisted Decision Making, Pattern Recognition, symbolic computation, representation schemes; Genetic Algorithms, Programming in Logic; Neural Network – Foundations, Neural Models, Classification of Network, Learning and Training Supervised and unsupervised Learning; Fuzzy logic Expert system overview a natural language and understanding concepts

Database and Information System:

System Analysis and Design Concepts; File Types -Sequential, Indexed, random access and relative files; Data Models, Schemas, Instances; DBMS -types and applications; Data Base Design Concepts; Normalization Techniques; Data Redundancy and consistency, Data description; manipulation and definition languages; RDBMS concepts, constraints, schemas, SQL programming – complex queries, triggers, views; Relational Algebra, Calculus, SQL Server; overview of Oracle; MS Office – Word; Excel and Access; Distributed databases. Analytics – Descriptive, Predictive, Prescriptive

Computer Networks and Web Engineering:

Evolution of Computer Networks; ISO – OSI model; computer networking hardware Channels & Bandwidth Considerations, Computer network design Topology. Protocols, Information sharing techniques; Routing Algorithms; Congestion Packet Design; Circuit and Message Switching, Ethernet, LAN, MAN, and WAN features Internet, Intranet and Extranet Applications of Computer Networking; IPV4, IPV6 TCP UDP Storage area networks. Optical Networking of Computers, Network Simulation,’ Network Security Fundamentals; Error Detection and Recover; Computer Networking Standards. Concepts of WWW, Website Development, Markup Language – HTML, DHTML features; Applets and Servelets; MVC Architecture, c lent server model of Web Development; types of servers – Web Server, Application Server and Data Base Server, Database Connectivity; Scripting Languages; basis features JSP, ASP and Java Scripts; Overview of J2EE – EJB and COM / DCOM; Front – end development; Web services – XML technologies, Java Frameworks.

Computer Graphics & C.A.D.
Overview of computer graphics, Hardware & Computer Graphics software; shapes & Transforms-line drawing Algorithms; Polygon and Circle drawing, Two dimensional and Three-dimensional transformations, Hierarchical Modeling; Planes and Surface Description, line clipping; B-Spline methods; Animation Graphics; Computer Graphics Applications in C.A.D; Basic features of Auto CAD – viewing, Layers, precision, snap tools, co-ordinates.
Software Engineering and Project Management:
Software development life cycle; Process, requirements Engg: Process Models – Iterative development; Waterfall Development; Agile methodology, System Modeling. Sof Metri Software Testing and Quality Assurance; User name Analysis and Architectural Centric Design; Project Management, Configuration, and Change arrangement, Project management Tools; Project Execution; Risk Management Project Life Cycle, SDLC. Cost estimation and Scheduling; Man – Power Coordination. Re-Engineering.


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