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Created 2018-09-06
Owner zhouji
Title This course aims at exposing the student to among
Description COMPONENT stepper motor I FUNDAMENTAL CONCEPTS 9
Global Points of views, Quantum Bits, Quantum Calculation, Quantum Algorithms, Quantum Information, Postulates of Quantum Mechanisms.

COMPONENT II QUANTUM COMPUTATION 9
Quantum Circuits 'C Quantum algorithms, Single Orbit operations, Control Procedures, Measurement, Universal Quantum Gates, Simulation of Quantum Devices, Quantum Fourier transform, Stage estimation, Applications, Quantum search algorithms 'C Quantum counting 'C Speeding up the solution of NP 'C full problems 'C Quantum Look for an unstructured database.

COMPONENT III QUANTUM COMPUTERS 9
Guiding Concepts, Conditions for Quantum Working out, Harmonic Oscillator stepper motor Quantum Personal computer, Optical Photon Quantum Personal computer 'C Optical cavity Quantum electrodynamics, Ion tiger traps, Nuclear Magnetic resonance.

COMPONENT IV QUANTUM INFORMATIONS 9
Quantum distractions and Quantum Operations 'C Common Noise and Markov Operations, Quantum Operations, Examples with Quantum noise and Quantum Operations 'C Applications of Quantum treatments, Limitations of the Quantum surgical procedures formalism, Distance Measures for Quantum information.

UNIT V QUANTUM FAULT CORRECTION 9
Introduction, Shor rule, Theory of Quantum Fault 'CCorrection, Constructing Quantum Rules, Stabilizer codes, Fault 'C Understanding Quantum brushless dc motor controller Computation, Entropy plus information 'C Shannon Entropy, Standard properties of Entropy, Von Neumann, Sturdy Sub Additivity, Data Compression, Entanglement as a natural resource.

TOTAL: 45
TEXT MESSAGE BOOK
1. Micheal YOUR. Nielsen. & Issac L. Chiang, 'Quantum Calculation and Quantum Information', Cambridge University Press, Fint South Wok cookware edition, 2002.

CS1022 AWARENESS BASED DECISION SUPPORT PROCEDURE 3 0 0 HUNDRED

AIM
There has been a radical shift inside management parlance. Organizations may use Intranets and Internets in order to analyze various https://www.omc-stepperonline.com/bldc-motor/ aspects concerning the performance and predict the near future. This course aims at exposing the student to among the list of important applications of the pc.

OBJECTIVE
The course has become so designed as to feature.
Development of support method
Methods of managing knowledge
Intelligent decision system growth

UNIT I INTRODUCTION 9
Making decisions, Systems, Modeling, and support 'C Health benefits and Definition 'C Methods 'C Models 'C Modeling process 'C Making decisions: The intelligence phase 'C The form phase - The nema stepper motor preference phase 'C Evaluation: The particular implementation phase 'CAlternative Selection 'C Making models 'C Selection support systems 'C Verdict makers - Case job applications.
UNIT II DECISION HELP SYSTEM DEVELOPMENT 9
Decision Help System Development: Introduction -- Life cycle 'C Methodologies 'C prototype 'C Engineering Levels and Tools 'C Development platforms 'C Tool choice 'C Developing DSS
Industry systems: Concepts and Classification 'C Evolution of tips systems 'C Information needs 'C Characteristics and capabilities 'C Comparing and Developing EIS and https://www.omc-stepperonline.com/nema-17-stepper-motor/ DSS 'C EIS files access, Data Warehouse, OLAP, Multidimensional research, Presentation and the online 'C Including soft data enterprise on systems -- Organizational DSS 'C provide and value chains and decision support 'C supply chain problems and remedies 'C computerized systems MRP, ERP, SCM 'C frontline choice support systems.
UNIT III EXPERTISE MANAGEMENT 9
Introduction 'C Firm learning and memory 'C Know-how management 'CDevelopment 'Cmethods, Systems, and Tools 'C being successful 'CKnowledge management and Man-made intelligence 'C Electronic insurance policy cnc router kit management.
Knowledge acquisition and also validation: Knowledge engineering 'C Opportunity 'C Acquisition methods -- Interviews 'C Tracking methods 'C Observation along with other methods 'C Grid investigation 'C Machine Learning: Concept induction, case-based reasoning 'C Neural computing 'C Intelligent agents 'C Number of an appropriate knowledge obtain methods 'C Multiple professionals 'C Validation and verification of the knowledge base 'C Examination, coding, documenting, and diagramming 'C Numeric and also documented knowledge acquisition 'C Knowledge acquisition plus the Internet/Intranets.
Knowledge representation: cnc router kit Introduction 'C Representation in logic along with other schemas 'C Semantic cpa networks 'C Production rules 'C Casings 'C Multiple knowledge representation 'C Experimental knowledge representations : Representing uncertainty.
UNIT IV INTELLIGENT SYSTEM DEVELOPMENT 9
Inference Workout: Reasoning in artificial data 'C Inference with policies: The Inference tree 'C Inference using frames 'C Model-based along with case-based reasoning - Reason and Meta knowledge 'C Inference together with uncertainty 'C Representing bias 'C Probabilities and similar approaches 'C Theory of certainty 'C Approximate reasons using fuzzy logic.
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