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Theme Inference Throught Detection and Extraction of Domain Specific Events

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Theme Inference Throught Detection and Extraction of Domain Specific Events
HS T81 ENGINEERING ECONOMICS AND MANAGEMENT
UNIT I
Introduction – Micro Economics – Macro Economics – Economic decisions and Technical
Decisions – Demand and Supply Concepts – Elasticity of Demand – Cost of Products – Price of products – Break-Even Analysis – Nature of Functioning of Money –
Notional Income – GNP and Savings – Inflation an Deflation Concepts.
UNIT II
Introduction – Elementary Economic Analysis – Interest Formulas and their Applications
- Comparisons – Present Worth Method – Future Worth Method – Annual Equivalent Method – Rate of Return Method
UNIT III
Replacement and Maintenance Analysis – Depreciation – Evaluation of Public ternatives
– Inflation Adjusted Decisions
UNIT IV
Nature and Importance of Management - Development of Management Thought - Ethical and
Environmental Foundations - Decision Making - Organizing and Staffing - Planning and Strategic
Management – Leadership - Communicating and Controlling Managing Information
UNIT V
Operations Management - Marketing Management - Financial Management – Multinational
Management - Entrepreneurship and Small Business - Management of Public Organizations

CS T82 HIGH PERFORMANCE COMPUTING
UNIT I
Introduction: Need of high speed computing – increase the speed of computers – history of parallel computers and recent parallel computers; solving problems in parallel – temporal parallelism – data parallelism – comparison of temporal and data parallel processing – data parallelprocessing with specialized processors – inter-task dependency.
The need for parallel computers - models of computation - analyzing algorithms -expressing algorithms. UNIT II
Parallel Programming Platforms: Trends in microprocessor architectures - limitations of memory system performance – parallel computing platforms – communication costs in parallel machines – routing mechanisms for interconnection networks.
Principles of Parallel Algorithm Design: Preliminaries – decomposition techniques –

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