BCS-071: Neural Networks
L T P Credit-4
3 1 0
UNIT-I 08 hours
Neurocomputing and Neuroscience
Historical notes, human Brain, neuron Mode l, Knowledge representation, Al and NN. Learning process: Supervised and unsupervised learning, Error correction learning, competitive learning, adaptation, statistical nature of the learning process.
UNIT-II 08 hours
Data Processing : Scaling, normalization, Transformation (FT/FFT), principal component analysis, regression, co- Variance matrix, Eigen values & Eigen vectors. Basic Models of Artificial neurons, activation Functions, aggregation function, single neuron computation, multilayer perception, least mean square algorithm, gradient descent rule, nonlinearly separable problems and bench mark Problems in NN.
UNIT-III 08 hours
Multilayered network architecture, back propagation algorithm, heuristics for making BP- algorithm performs better. Accelerated learning BP (like recursive least square, quick prop, RPROP algorithm), approximation properties of RBF networks and comparison with multilayer perceptran.
UNIT-IV 08 hours
Recurrent network and temporal feed-forward network, implementation with BP, self-organizing map and SOM algorithm, properties of feature map and computer simulation. Principal component and Independent component analysis, application to image and signal processing.
UNIT-V 08 hours
Complex valued NN and complex valued BP, analyticity of activation function, application in 2D information processing. Complexity analysis of network models. Soft computing. Euro-Fuzzy-genetic algorithm Integration.
Reference Books:
1. J.A. Anderson, An Introduction to Neural Networks, MIT
2. Hagen Demuth Beale, Neural Network Design, Cengage Learning
RAMA UNIVERSITY UTTAR PRADESH KANPUR
Faculty of Engineering and Technology
3. R.L. Harvey, Neural Network Principles, PHI
RAMA UNIVERSITY UTTAR PRADESH KANPUR
Faculty of Engineering and Technology
BCS-072: Embedded Systems
L T P Credit-4
3 1 0
UNIT-I 08 hours
Introduction to embedded systems: Classification, Characteristics and requirements, Applications.
UNIT-II 08 hours
Timing and clocks in embedded systems, Task Modeling and management, Real time operating system issues.
UNIT-III 08 hours
Signals, frequency spectrum and sampling, digitization (ADC, DAC), Signal Conditioning and Processing. Modeling and Characterization of Embedded Computation System.
UNIT-IV 08 hours
Embedded Control and Control Hierarchy, Communication strategies for embedded systems:
Encoding and Flow control.
UNIT-V 08 hours
Fault-Tolerance, Formal Verification. Trends in Embedded Processor, OS, Development Language
Reference Books:
1. H.Kopetz, "Real-Time Systems", Kluwer
2. R.Gupta, "Co-synthesis of Hardware and Software for Embedded Systems",Kluwer 3. Shibu K.V., "Introduction to Embedded Systems", TMH
4. Marwedel, "Embedded System Design", Springer
RAMA UNIVERSITY UTTAR PRADESH KANPUR
Faculty of Engineering and Technology
BCS-073: Cloud computing
L T P Credit-4
3 1 0
UNIT-I 08 hours
Cloud Computing Fundamental: Cloud computing definition, private, public and hybrid cloud. Cloud types;
IaaS, PaaS, SaaS. Benefits and challenges of cloud computing, public vs private clouds, role of virtualization in enabling the cloud; Business Agility: Benefits and challenges to Cloud architecture. Application availability, performance, security and disaster recovery; next generation Cloud Applications.
UNIT-II 08 hours
Cloud Applications: Technologies and the processes required when deploying web services; Deploying A web service from inside and outside a cloud architecture, advantages and disadvantages.
UNIT-III 08 hours
Cloud Services Management: Reliability, availability and security of services deployed from the cloud.
Performance and scalability of services, tools and technologies used to manage cloud services deployment;
Cloud Economics: Cloud Computing infrastructures available for implementing cloud based services.
Economics of choosing a Cloud platform for an organization, based on application requirements, economic Constraints and business needs (e.g Amazon, Microsoft and Google, Salesforce.com, Ubuntu and Redhat
UNIT-IV 08 hours
Application Development: Service creation environments to develop cloud based applications. Development environments for service development; Amazon, Azure, Google App.
UNIT-V 08 hours
Best Practice Cloud IT Model: Analysis of Case Studies when deciding to adopt cloud computing architecture. How to decide if the cloud is right for your requirements. Cloud based service, applications and development platform deployment so as to improve the total cost of ownership (TCO).
References
1. Gautam Shroff, Enterprise Cloud Computing Technology Architecture Applications [ISBN: 978- 0521137355]
2. Toby Velte, Anthony Velte, Robert Elsenpeter, Cloud Computing, A Practical Approach [ISBN:
0071626948]
3. Dimitris N. Chorafas, Cloud Computing Strategies [ISBN: 1439834539]
RAMA UNIVERSITY UTTAR PRADESH KANPUR
Faculty of Engineering and Technology
B C S-074: Soft Computing
L T P Credit-4
3 1 0
UNIT-I 08 hours
Artificial Neural Networks: Basic concepts - Single layer perception - Multilayer Perception - Supervised and Unsupervised learning - Back propagation networks - Kohnen's self-organizing networks - Hopfield network.
UNIT-II 08 hours
Fuzzy Systems: Fuzzy sets, Fuzzy Relations and Fuzzy reasoning, Fuzzy functions Decomposition Fuzzy automata and languages - Fuzzy control methods - Fuzzy decision making.
UNIT-III 08 hours
Neuro- Fuzzy Modeling: Adaptive networks based Fuzzy interface systems - Classification and Regression Trees Data clustering algorithms - Rule based structure identification - Neuro-Fuzzy controls – Simulated annealing - Evolutionary computation.
UNIT-IV 08 hours
Genetic Algorithms: Survival of the Fittest - Fitness Computations - Cross over - Mutation - Reproduction - Rank method Rank space method.
UNIT-V 08 hours
Application of Soft Computing: Optimization of traveling salesman problem using Genetic Algorithm, Genetic algorithm based Internet Search Techniques, Soft computing based hybrid fuzzy controller, Introduction to MATLAB Environment for Soft computing Techniques.
Reference Books:
1. Sivanandam, Deepa, “Principles of Soft Computing", Wiley
2. Jang J.S.R, Sun C.T. and Mizutani E, "Neuro-Fuzzy and soft computing", Prentice Hall 3. Timothy J. Ross, "Fuzzy Logic with Engineering Applications", McGraw Hill
4. Laurene Fausett, "Fundamentals of Neural Networks", Prentice Hall
5. D.E. Goldberg, "Genetic Algorithms: Search, Optimization and Machine Learning", Addison Wesley
RAMA UNIVERSITY UTTAR PRADESH KANPUR
Faculty of Engineering and Technology
Open Elective
1. BOE-071 Non-Conventional Energy Resources 2. BOE-072 Disaster management
3. BOE-073 Engineering System Modeling and Simulation 4. BOE-074 Bioinformatics