Sem7

The Course is aimed to- 1. Understand the core principles of sustainability. 2. Explain green technology and eco-innovation concepts. 3. Assess environmental impacts of engineering systems. 4. Identify renewable and resource-efficient alternatives. 5. Integrate sustainable practices in design and operation. 6. Promote responsible and ethical engineering decisions. 

Upon completion of this course, student should be able to - 1. Explain sustainability and green engineering principles. 2. Identify major environmental and resource issues. 3. Apply life-cycle and impact assessment tools. 4. Evaluate cleaner and renewable technologies. 5. Design eco-efficient and sustainable solutions. 6. Communicate sustainability ideas effectively. 

The Course is aimed to- 1. Demonstrate the Configuration of an asp.net application.  2. Helps to create ASP.Net applications using standard .net controls and to create a data driven web application.  3. Helps to create a Web Application with security 4. Helps to create and Maintain session and controls related information for user used in multi-user web applications  5. Introduce the fundamentals of developing modular application by using MVC 6. Introduce the fundamentals of web services and xml services 

Upon completion of this course, student should be able to – 1. Design web applications using ASP.NET 2. Use ASP.NET controls in web applications. 3. Create database driven ASP.NET web applications and web services 4. Handle database using MVC in ASP.NET web applications 5. Understand concept of ADO.NET 6. Configuring and testing web services  on web  

The Course is aimed at- 1. Developing an understanding of the business environment, management concepts, business ethics, and social responsibility of organizations. 2. Introducing the fundamental functions of management such as planning, organizing, staffing, directing, and controlling for effective managerial practice. 3. Enhancing the ability to apply managerial tools and techniques related to decision-making, forecasting, communication, motivation, and leadership. 4. Providing exposure to functional areas of management including marketing, finance, production, human resource, and materials management. 5. Building analytical and problem-solving skills through the study of inventory control techniques and materials management practices. 6. Encouraging entrepreneurial mindset and legal awareness by understanding entrepreneurship development, SSI, industrial laws, and intellectual property rights.

Upon completion of this course, student should be able to – 1. Explain the business environment, ethical practices, and social responsibility of business, along with the nature and levels of management. 2. Apply the principles of planning and organizing, including decision-making, forecasting methods, organizational structures, and culture, in managerial situations. 3. Demonstrate the application of staffing, directing, motivation, leadership, communication, and controlling techniques to improve organizational performance. 4. Describe the roles and functions of marketing, finance, production, and human resource management in achieving organizational objectives. 5. Analyze materials management practices, inventory control techniques such as EOQ and ABC analysis, and purchasing procedures for cost effectiveness. 6. Evaluate entrepreneurial opportunities, challenges of SSI, and the impact of legal frameworks and intellectual property rights in business and industrial development

The Course is aimed to- 1. Familiarize the students with soft computing concepts. 2. Conceptualize the working of the human brain using ANN. 3. Make students familiar with neural networks that can learn from available examples and generalize to form appropriate rules for inference systems. 4. Introduce the ideas of fuzzy sets, fuzzy logic, and the use of heuristics based on human experience 5. Provide the mathematical background for carrying out the optimization and familiarizing genetic algorithm for seeking global optimum in self-learning situations. 6. Introduce the applications of soft computing 

Upon completion of this course, student should be able to – 1. Understand different soft computing techniques like Genetic Algorithms, Fuzzy Logic, Neural Networks, and their combination. 2. Design and implement computing systems by using appropriate Artificial Neural networks and tools. 3. Apply neural networks to pattern classification 4. Apply the concepts of Fuzzy Logic, Various fuzzy systems, and their functions to real-time systems. 5. Analyze the genetic algorithms and their applications to solve engineering optimization problems 6. Apply soft computing techniques to solve engineering or real-life problems.