ANU M.Tech 2nd Sem Reg Exam Results Aug 2024

 ANU M.Tech 2nd Sem Reg Exam Results Aug 2024 are now available, the candidates who are looking for results can check their results from here

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ANU UG/Degree 3rd Sem (Y23 Batch) Project Management Important Questions

 ANU UG/Degree 3rd Sem (Y23 Batch) Project Management Important Questions for semester exams. By preparing these questions you can get good marks in your semester exams. These questions are prepared by top experienced faculty.

UNIT I: BASICS OF PROJECT MANAGEMENT

4-Mark Questions:

1. Define Project Management and explain its importance in today’s business environment.
2. List and briefly describe the different types of projects.
3. What are the key phases of the Project Management Life Cycle?
4. Identify and explain the essential elements of Project Management.
5. Describe the role of a Project Manager in a project.

6-Mark Questions:

1. Discuss the Project Management Knowledge Areas and their significance in managing projects.
2. Explain the concept of the Project Life Cycle and its phases in detail.
3. Analyze the importance of Scope, Time, Cost, Quality, and Risk in Project Management.
4. Discuss the principles of Project Management and how they guide project execution.
5. Illustrate the Project Management Processes and their interrelationships.

UNIT II: PROJECT IDENTIFICATION AND SELECTION

4-Mark Questions:

1. What are the sources of new project ideas? Provide examples.
2. Explain the process of preliminary screening of projects.
3. Define Pre-Feasibility Study and its purpose in project selection.
4. What is the significance of market feasibility in project identification?
5. Describe the concept of the Project Break-even point.

6-Mark Questions:

1. Discuss the various sources of financial resources available for project funding.
2. Explain the steps involved in the project identification process.
3. Analyze the different types of feasibility studies and their importance in project selection.
4. Discuss the role of technical feasibility in the overall project evaluation process.
5. Evaluate the importance of conducting a financial feasibility study before project initiation.

UNIT III: PROJECT PLANNING

4-Mark Questions:

1. Why is project planning considered essential in project management?
2. Describe the roles and responsibilities of team members in project planning.
3. What is Network Analysis, and how is it used in project planning?
4. Explain the impact of delays in project completions on overall project success.
5. What are the key components of the project planning process?

6-Mark Questions:

1. Discuss the Project Life Cycle in the context of project planning and execution.
2. Analyze the significance of teamwork and collaboration in the project planning process.
3. Explain the steps involved in the project initiation and evaluation process.
4. Discuss the challenges faced during project planning and how to overcome them.
5. Evaluate the importance of risk management in the project planning phase.

ANU UG/Degree 3rd Sem (Y23 Batch) Business Forecasting Important Questions

  ANU UG/Degree 3rd Sem (Y23 Batch) Business Forecasting Important Questions for semester exams. By preparing these questions you can get good marks in your semester exams. These questions are prepared by top experienced faculty.

UNIT-1: INTRODUCTION

4-Mark Questions:

1. Define business forecasting and explain its significance in business operations.
2. List and describe the different types of forecasting methods.
3. What is the forecasting process? Outline its key steps.
4. Explain the concept of the nature of forecasting and its implications for businesses.
5. Discuss the role of economic theory in business forecasting.

6-Mark Questions:

1. Analyze the importance of forecasting in strategic business planning and decision-making.
2. Compare and contrast qualitative and quantitative forecasting methods, providing examples of each.
3. Discuss the criteria for choosing an appropriate forecasting method for a business scenario.
4. Explain how the adequacy of a forecasting method can be determined.
5. Evaluate the historical development of forecasting and its evolution in the business context.

UNIT-2: BUSINESS FORECASTING MODELS

4-Mark Questions:

1. What are the main components of time series analysis? Briefly describe each.
2. Define and explain the concept of trend in time series data.
3. What is the purpose of using smoothing techniques in forecasting?
4. Describe the sales force composite method and its application in forecasting.
5. Explain the consumer panel survey method and its relevance in business forecasting.

6-Mark Questions:

1. Compare simple correlation and simple regression in the context of forecasting, highlighting their differences and applications.
2. Discuss the various advanced techniques used in time series analysis, including exponential smoothing.
3. Explain the Delphi method in detail, including its process and advantages in qualitative forecasting.
4. Analyze the importance of understanding seasonal and cyclical components in time series forecasting.
5. Evaluate the effectiveness of different qualitative forecasting models in predicting consumer behavior.

UNIT-3: COMPUTER APPLICATIONS TO BUSINESS FORECASTING

4-Mark Questions:

1. What are the primary objectives of using computer applications in business forecasting?
2. List some common computer forecast packages and their features.
3. Explain the significance of monitoring and controlling forecasts in business.
4. What role do emerging forecasting packages play in enhancing forecasting accuracy?
5. Describe how technology can improve sales and profit forecasting.

6-Mark Questions:

1. Discuss the advantages and challenges of using computer applications for business forecasting.
2. Explain the process of implementing a computer forecasting package in a business setting.
3. Analyze the impact of technology on the accuracy and efficiency of forecasting methods.
4. Evaluate the role of data analytics in enhancing business forecasting capabilities.
5. Discuss case studies where computer applications have significantly improved forecasting outcomes in businesses.