MPPSC DSP Syllabus 2021 ~ Download MPPSC DSP Test Pattern

MPPSC DSP Syllabus 2021: MPPSC Deputy Superintendent of Police Syllabus with Exam Pattern is discussed here, collect the Madhya Pradesh DSP Syllabus for Prelims & Mains Written Exam in below page. View the MP Dy Superintendent of Police Exam Syllabus to start your efficient preparation process. Verify MPPSC Deputy Superintendent of Police Admit Card is release soon at tnusrbonline.org. Use the MPPSC Deputy Superintendent of Police Exam Date and Exam Centre List here once the official released. Utilize the Madhya Pradesh Deputy Superintendent of Police Preparation Books and Study Materials to know the subjects briefly. Keep visiting PuzzlesHuB to know the MPPSC Deputy Superintendent of Police Exam latest updates.

MPPSC DSP Syllabus 2021

Part -A : Syllabus :

(Section-‘A ‘)-General Knowledge of Madhya Pradesh, National and International level

1. 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.

2. Geography of the Madhya Pradesh

• Forest, Mountain and Rivers of M.P.
• 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.

3. Politics and Economy of M.P.

• Political system of M.P. (Governor, Cabinet, Legislative Assembly).
• Panchayati Raj in M.P.
• 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.

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

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

5. 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) :

Deputy Superintendent of Police (DSP) (Radio) :

(Objective Type Paper)

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 Opto- electronics.

2.  Signals and Systems

Classification of signals and systems, Basic signals, System modelling 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 other definition effect of cascading elements of network synthesis. Driving point and transfer functions. State equations for networks.

4.  EIectromagnetic’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 convenors, 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 analogue 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.

6. 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 organisation. I/O System organisation. 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.

Part -B : DSP (Computer) :

1. 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; Hard ware and Software Concepts; Hard wired and Micro Programmed Control; Memory and Fetch cycles; Secondary storage systems; Cpmputer Arithmetic: Number Systems, Integer Arithmetic, FloatingPoint 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.

2. Computer Programming, Data Structures & Object Oriented Analysis and Design

Fundamentals of Computer Programming, Programing Languages, Programming Environments, Flowchart, Algorithms and psuedocoding; 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.

3. System Programming and Operating Systems

Introduction, Concepts of System Programs; system programming fools — Lex, YACC, Parsers ; Operating system Concepts – types of OS; OS – functions Services and policies;

4. 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, 8, Big-f2 Notations; Complexity of Sorting – Heap Sort, Fibonacci Heaps, searching – Binary search Trees, Red-Black Trees, Amortized Analysis, Splash Trees; Matrix Algorithrris; 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.

5. 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.

6. Artificial Intelligence and Neural Networks

Basic Principles of AI – search, Heuristics; Non-Determinism; Computer-Assisted Decision Making, Pattern Recognition, symbolic computation, knowledge 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 and natural language and understanding concepts.

5. Data Base 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.

8. 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 Recovery; Computer Networking Standards. Concepts of WWW, Website Development, Markup Language.

9. HTML, DHTML features; Applets and Servelets;

MVC Architecture, client-server model of Web Development; types of servers – Web Server,  Application Server and Data Base Server, Database Connectivity; Scripting Languages; basis features of JSP, ASP and Java Scripts; Overview of J2EE – EJB and COM / DCOM; Front – end development; Web services – XML technologies, Java Frameworks. 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 o1 Auto CAD – viewing, Layers, precision, snap tools, co-ordinates.

10. Software Engineering and Project Management

Software development life cycle; Process, requirements Engg; Process Models – Iterative development; Waterfall Development; Agile methodology, System Modeling, Software Metrics; 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.

MPPSC Deputy Superintendent of Police Exam Pattern

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