Ganpat University s1

GANPAT UNIVERSITY

FACULTY OF ENGINEERING & TECHNOLOGY
Programme / Master of Technology / Branch/Spec. / Information Technology
Semester / II / Version / 2.1.0.0
Effective from Academic Year / 2016-17 / Effective for the batch Admitted in / AUG-2016
Subject code / 3IT202 / Subject Name / Data Mining and Data Warehousing
Teaching scheme / Examination scheme (Marks)
(Per week) / Lecture(DT) / Practical(Lab.) / Total / CE / SEE / Total
L / TU / P / TW
Credit / 3 / 0 / 1 / - / 4 / Theory / 40 / 60 / 100
Hours / 3 / 0 / 2 / - / 5 / Practical / 25 / 25 / 50
Pre-requisites:
Basics of database and data warehouse
Learning Outcome:
Upon successful completion of the course, the student should be able to:
· Define the concepts and definition of the information systems
· Differentiate between several types of information system
· Understand the difference between database and data warehouse
· Differentiate between transaction processing system and functional area information system.
Theory syllabus
Unit / Content / Hrs
1. 1 / Introduction / 03
2. 2 / Data Mining Algorithms & Knowledge Discovery / 05
3. 3 / Visualization mining class comparisons / 05
4. 4 / Data Mining Primitives, Languages, and System Architectures / 06
5. / Application and Trends in Data Mining / 05
6. 6 / Overview & Concepts / 04
7. 7 / Architecture and Infrastructure / 03
8. 8 / Data Design and Data Representation / 05
9. / Information Access & Delivery / 05
Practical content
Experiments/simulation based on the syllabus.
Text Books
1. / Han, Kamber ,“Data Mining Concepts and Techniques”, Morgan Kaufmann
Reference Books
1. 1 / PaulrajPonniah, “Data Warehousing Fundamentals”, John Wiley.
2. / M.H. Dunham, “Data Mining Introductory and Advanced Topics”, Pearson Education.
3. / Ralph Kimball ,”The Data Warehouse Lifecycle toolkit”, John Wiley.
4. / M Berry and G. Linoff ,”Mastering Data Mining”, John Wiley.
5. / W.H. InmonWiley,”Building the Data Warehouses”,Dreamtech.

GANPAT UNIVERSITY

FACULTY OF ENGINEERING & TECHNOLOGY
Programme / Master of Technology / Branch/Spec. / Information Technology
Semester / II / Version / 2.0.0.0
Effective from Academic Year / 2016-17 / Effective for the batch Admitted in / AUG-2016
Subject code / 3IT203 / Subject Name / Cloud Computing
Teaching scheme / Examination scheme (Marks)
(Per week) / Lecture(DT) / Practical(Lab.) / Total / CE / SEE / Total
L / TU / P / TW
Credit / 3 / 0 / 1 / - / 4 / Theory / 40 / 60 / 100
Hours / 3 / 0 / 2 / - / 5 / Practical / 25 / 25 / 50
Pre-requisites:
Concepts of Distributed systems
Learning Outcome:
Upon successful completion of the course, the student should be able to:
· Understand the hardware, software concepts and architecture of cloud computing
· realize the importance of Cloud Virtualization, Abstractions and Enabling Technologies
· Explore the Programming for Applications on Cloud.
Theory syllabus
Unit / Content / Hrs
1. 1 / Introduction: Concepts of Distributed systems, Cluster computing, Grid Computing, Cloud Computing, Layers and Types of Clouds, Cloud Infrastructure Management, Challenges and Applications. / 06
2. 2 / Software as a Service (SaaS):Evolution of SaaS, Challenges of SaaS Paradigm, SaaS Integration Services, SaaS Integration of Products and Platforms. Infrastructure As a Services (IaaS): Introduction, Background & Related Work, Virtual Machines Provisioning and Manageability, Virtual Machine Migration Services, VM Provisioning and Migration in Action. Platform As a service (PaaS): Integration of Private and Public Cloud, Technologies and Tools for Cloud Computing, Resource Provisioning Services. Virtualization: Virtualization of Computing, Storage and Resources. / 15
3. 3 / Management and Monitoring: Accounts Monitoring, User profiles in Cloud, Resource Allocation and Pricing in Cloud. / 05
4. 4 / Security:Introduction, Cloud Storage: from LANs to WANs, Technologies for Data Security in Cloud Computing, Security Concerns, Legal issues and Aspects, Securing the Private and Public Cloud Architecture. / 08
5. 6 / Cloud Middleware:Hadoop, OpenStack, Eucaluptus, Windows Azure, CloudSim,EyeOs, Aneka, Google App Engine. / 06
Practical content
Experiments/simulation based on the syllabus.
Text Books
1 / Rajkumar Buyya, James Broberg,Andrzej M Goscinski, Cloud Computing: Principles and Paradigms, Wiley publication
Reference Books
1. 1 / Toby Velte, Anthony Velte, Cloud Computing: A Practical Approach, McGraw-Hill Osborne Media
2. / George Reese, Cloud Application Architectures: Building Applications and Infrastructure in the Cloud, O'Reilly Publication
3. / John Rhoton, Cloud Computing Explained: Implementation Handbook for Enterprises, Recursive Press

GANPAT UNIVERSITY

FACULTY OF ENGINEERING & TECHNOLOGY
Programme / Master of Technology / Branch/Spec. / Information Technology
Semester / II / Version / 1.0.0.0
Effective from Academic Year / 2016-17 / Effective for the batch Admitted in / AUG-2016
Subject code / 3IT205 / Subject Name / Advanced Computer Architecture
Teaching scheme / Examination scheme (Marks)
(Per week) / Lecture(DT) / Practical(Lab.) / Total / CE / SEE / Total
L / TU / P / TW
Credit / 3 / 0 / 1 / - / 4 / Theory / 40 / 60 / 100
Hours / 3 / 0 / 2 / - / 5 / Practical / 25 / 25 / 50
Pre-requisites:
Concepts of Computer Organization
Learning Outcome:
Upon successful completion of the course, the student should be able to:
· Providing an exposure to current and emerging trends in Computer Architectures,
· Focusing on performance and the hardware/software interface.
· The emphasis is on studying and analysing fundamental issues in architecture design and their impact on performance.
· Advanced topics include a survey of parallel architectures and future directions in computer architecture.
Theory syllabus
Unit / Content / Hrs
1. 1 / Introduction: Von Neumann Architecture, Computer Design, Stack Or Accumulator Style Architecture, Load-Store Register Architecture, Multiplicity Of Functional Units, Parallelism And Pipelining Within CPU, Overlapped CPU And Io Operations, Use Of Hierarchical Memory System, Balancing Of Sub System Bandwidth, Multiprogramming And Time Sharing / 04
2. 2 / Pipelining: Parallel Computer Structures, Pipeline Computers, Classification Of Pipeline Processors, General Pipelines And Reservation Tables, Hazards In A Pipeline And Its Detection, Data And Resource Dependencies, Designing Pipeline Processor Principles, Instruction Prefetch And Branch Control Strategies, Data Buffering And Busing Structures, Internal Data Forwarding And Register Tagging , Detection And Resolution of Logical Hazards, Job Sequencing, Superscalar Processors, Super pipeline, Super pipeline Superscalar Design / 12
3. 3 / VLIW(Very Long Instruction Word) Architecture: Horizontal Microcoding, Superscalar Processing, Instruction Format And Execution, Differences Between VLIW and Superscalar, VLIW Opportunities, Trace Scheduling Compilation, Code Compaction, Concept of Trace Scheduling, Compensation Code / 04
4. 4 / Cache: Arrangement Of Data In A Hierarchical Memory, Address Mapping, Cache Associated Problems, Basic Structure, Block Size Vs Miss Rate, Improvement In Cache Performance, Cache Operation, Cache Operation And Consistency Problem, Mapping Schemes / 06
5. 6 / RISC Architecture: Attributes of RISC Architecture, Register Windows, Berkeley RISC architecture, ULTRA SPARC IV plus Architecture, Process Technology, Chip multithreading, ULTRA SPARC III pipelines, Challenges Ahead / 05
6. / Data Flow Architecture: data driven Mechanism, Control Flow vs Data Flow, Architecture of the MIT Tagged token Dataflow computer, Comparative Study of Dataflow and Control flow, Parallel Execution on a shared memory 4 processor system / 04
7. / Single Instruction Multidata Stream (SIMD): SIMD Machine Model, Operation Model 1 (Illiac IV machine), Operation Model 2 (BSP Model), Masking and Data Routing Mechanisms, Address Mechanism, Necessity of data routing in an array processor, SIMD Example, Mesh Connected Illiac Network routing functions, Chordal Ring representation of Illiac 4 Network, Network Properties, Network Performance, Static Networks, Dynamic Networks, Multiprocessors and Multicomputer, Generalized Multiprocessor System, Multiprocessors Network Characteristics, Hierarchical Bus System, Switch types. / 05
Practical content
Experiments/simulation based on the syllabus.
Text Books
1. / Advance Computer Architecture Parallelism, Scalability, Programmability By Kai Hwang (McGraw Hill.)
2. / Computer Architecture and Parallel ProcessingBy Kai Hwang (McGraw Hill.)
Reference Books
1. 1 / Computer Organization and DesignBy P. Pal Chaudhuri (PHI Publication)
2. / Parallel Computers Architecture and ProgrammingBy V. Rajaraman (PHI Publication)