Search results: 1518
Course Objectives
1: To understand business communication strategies and principles for effective communication in domestic and international business situations.
2: To understand and appropriately apply modes of expression, i.e., descriptive, expositive, narrative, scientific, and self-expressive, in written, visual, and oral communication.
3: To develop the ability to research and write a documented paper and/or to give an oral presentation. 4 : To develop the ability to communicate via electronic mail, Internet, and other technologies for presenting business messages.
5: To understand and apply basic principles of critical thinking, problem solving, and technical proficiency in the development of exposition and argument.
- Teacher: Sudheer Kumar [MBA]
- Teacher: Sudheer Kumar [MBA]
- Understand the different basic concept / fundamentals of business statistics.
- Understand the importance of measures of Descriptive statistics which includes measures of central tendency, Measures of Dispersion, Time Series Analysis, Index Number, Correlation and Regression analysis and their implication on Business performance.
- Understand the concept of Probability and its usage in various business applications.
- Understand the Hypothesis Testing concepts and use inferential statistics- t, F, Z Test and Chi Square Test
- Understand the practical application of Descriptive and Inferential Statistics concepts and their uses for Business Analytics.
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Detailed Syllabus |
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Introduction to Software Quality |
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Software Quality: Definition, Software Quality Attributes and Specification, Cost of Quality, Defects, Faults, Failures, Defect Rate and Reliability, Defect Prevention, Reduction, and Containment, Overview of Different Types of Software Review, Introduction to Measurement and Inspection Process, Documents and Metrics. |
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Software Quality Assurance |
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Software Quality Assurance: Quality Planning and Control, Quality Improvement Process, Evolution of Software Quality Assurance (SQA), Major SQA Activities, Major SQA Issues, Zero Defect Software, SQA Techniques, Statistical Quality Assurance, Total Quality Management, Quality Standards and Processes. |
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Software Quality Metrics |
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Software Quality Metrics Product Quality Metrics: Defect Density, Customer Problems Metric, Customer Satisfaction Metrics, Function Points, In-Process Quality Metrics: Defect Arrival Pattern, Phase-Based Defect Removal Pattern, Defect Removal Effectiveness, Metrics for Software Maintenance: Backlog Management Index, Fix Response Time, Fix Quality, Software Quality Indicators. |
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Software Quality Management & Reliability |
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Software Quality Management and Models: Modeling Process, Software Reliability Models: The Rayleigh Model, Exponential Distribution and Software Reliability Growth Models, Software Reliability Allocation Models, Criteria for Model Evaluation, Software Quality Assessment Models: Hierarchical Model of Software Quality Assessment. |
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Software Verification & Validation |
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Software Verification, Validation & Testing: Verification and Validation, Evolutionary Nature of Verification and Validation, Impracticality of Testing all Data and Paths, Proof of Correctness, Software Testing, Functional, Structural and Error-Oriented Analysis & Testing, Static and Dynamic Testing Tools, Characteristics of Modern Testing Tools. |
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- Teacher: MR ANKIT VERMA [MCA]
- Teacher: Ankita Banerjee [HSS]
- Teacher: DR SONIYA VERMA [HSS]
- Teacher: DR DEEPA [MBA]
- Teacher: DR MANI TYAGI [MBA]
- Teacher: DR MEENAKSHI TYAGI [MBA]
- Teacher: DR MRINAL VERMA [MBA]
- Teacher: DR NITIN GIRDHARWAL [MBA]
- Teacher: DR PRATEEK GUPTA [MBA]
- Teacher: DR PUJA ROSHANI [MBA]
- Teacher: DR R SRINIVASAN [MBA]
- Teacher: DR RANCHAY BHATEJA [MBA]
- Teacher: DR RUCHI SINGH [MBA]
- Teacher: DR SHIVANI AGARWAL [MBA]
- Teacher: MR AMIT KUMAR ARORA [MBA]
- Teacher: MS NEHA SINGH [MBA]
- Teacher: MS RENU SHARMA [MBA]
- Teacher: MS SAPNA YADAV [MBA]
Cloud Computing is a large-scale distributed computing paradigm which has become a driving
force for information technology over the past several years. The exponential growth data size
in scientific instrumentation/simulation and social media has triggered the wider use of cloud
computing services. We will explore solutions and learn design principles for building large
network-based systems to support both compute and data intensive computing across
geographically distributed infrastructure.
- Teacher: DR AMIT KUMAR GUPTA [MCA]
- Teacher: MR. APOORV JAIN [MCA]
- Teacher: DR AKASH RAJAK
- Teacher: DR PARVIN KUMAR [ECE]
- Teacher: Dr. Niraj Singh Mehta [ECE]
- Teacher: Dr. Upendra Kumar Acharya [ECE]
- Teacher: MR CHIRAG ARORA [ECE]