Gathering Advantages: Assembly process development, assembly method selection, social benefits of automation. Manual assembly design: Assembly design fits into the design process, general design guidelines for manual assembly, systematic DFA methodology development, assembly efficiency, classification system for manual handling, classification system for manual insertion and. To encourage students to develop models of advanced manufacturing processes Course outcomes: At the end of the course, the student will be able to.
Awareness of the role of multiple functions in creating a new product (eg marketing, finance, industrial design, engineering, production). Product development management: Establishing the architecture – creation – clustering – geometric layout development – fundamental and incidental interactions – related system-level design issues – secondary systems – piece architecture – creation of detailed interface specifications. Industrial design: Integrate process design – Managing costs – Robust design – Integration of CAE, CAD, CAM tools – simulation of product performance and manufacturing process electronically – Need for industrial design – impact – design process.
Researching customer needs - conceptualization - refinement - industrial design process management - technology-oriented products - user-oriented products - industrial design quality assessment. To provide basic precision engineering methodology and state-of-the-art concepts for designing high-precision CNC machines and products. Course Objectives: The objective of the course is to examine the methods used in additive manufacturing, the theories governing additive manufacturing, to provide information about materials, to explain the relationships between the materials to be processed, and additive manufacturing methods with an introduction to common machines that are used to technology and display applications and business opportunities with future directions.
Product design: market needs, design and engineering, the design process, design for manufacturability (DFM): component design, design for assembly. Introduction to parameter design, signal to noise ratios, parameter design strategy, some case studies on parameter and tolerance designs. The students receive training on the use and application of the following software for production problems;
Practice in partial programming and operation of CNC lathes, subroutine techniques and use of cycles. Practice in part programming and operation of a machining center, tool planning and selection of sequences of operations, tool setting on machine, practice in APT based NC programming.
PROMODEL 3. SLAM-II
PRECISION ENGINEERING
Overview of Production & Operations Management (POM): Introduction-Definition-Meaning- Historical development of POM-POM scenario today. To make the students gain basic knowledge about overview of MEMS (Micro electro Mechanical System) and various manufacturing techniques. Improve the quality of MEMS by analyzing the variables of the underlying micro- and nanofabrication method.
Understand logic control and related technologies. Course outcomes: At the end of the course, the student will be able to Automation, Manufacturing Systems and Computer Integrated Manufacturing Groover, MP, Prentice Hall. AMS) BUSINESS ANALYTICS (open elective) BUSINESS ANALYTICS (open elective). Gain an understanding of how managers use business analytics to design and solve business problems and to support managerial decision-making.
At the end of the course, the trainees will be able to demonstrate knowledge of data analytics. demonstrate the ability to think critically in making decisions based on data and in-depth analytics. demonstrate the ability to use technical skills in predicative and prescriptive modeling to support business decision making. demonstrate the ability to translate data into clear and actionable insights. Business Analytics: Overview of Business Analytics, Scope of Business Analytics, Process of Business Analytics, Relationship of Business Analytics Process and Organization, Competitive Advantages of Business Analytics. Important resources, business analytics staff, business analytics data and models, problem solving, data visualization and exploration, business analytics technology.
Descriptive analytics, predictive analytics, predictive modeling, predictive analytics analytics, data mining, data mining methodologies, prescriptive analytics and its step in business analytics process, prescriptive modeling, nonlinear optimization. Business analytics Principles, concepts and applications by Marc J. Business Analytics by James Evans, persons Education. Introduction to Material Handling, Overview of Material Handling Equipment, Considerations in the Design of Material Handling Systems, The 10 Principles of Material Handling.
To deal with the applications of neural networks and fuzzy systems. Course outcomes: After this course, the student must Introduction to Neural Networks: Introduction, Humans and Computers, Organization of the Brain, Biological Neuron, Biological and Artificial Neuron Models, Hodgkin-Huxley Neuron Model, Integrate and Fire Neuron Model, Spike Neuron Model, Characteristics of ANN, McCulloch-Pitts Model, Historical Development, Potential Applications of ANN. Feed Forward Neural Networks: Single Layer Feed Forward Neural Networks: Introduction, Perceptron Models: Discrete, Continuous and Multi-Category, Training Algorithms: Discrete and Continuous Perceptron Networks, Perceptron Convergence Theorem, Perceptron Model Limitations, Applications.
Architecture of Hopfield Network: discrete and continuous versions, storage and recall algorithm, stability analysis, capacity of the Hopfield network. Understand the skills required when writing a title Make sure the paper is of good quality on the first submission.
TECH. (AMS)
Nishith, Singh AK, "Disaster Management in India: Perspectives, issues and strategies", New Royal book Company. Eds.)", Disaster Mitigation Experiences and Reflections", Prentice Hall of India, New Delhi. The engineering researchers equipped with Sanskrit will be able to explore the vast knowledge of ancient literature. Addressing the growth of Indian opinion on the constitutional role and right of civil and economic rights of modern Indian intellectuals as well as the emergence of nationhood in the early years of Indian nationalism.
To discuss the role of socialism in India after the onset of the Bolshevik Revolution in 1917 and its influence on the initial drafting of the Indian Constitution. Discuss the growth of the demand for civil rights in India for the majority of Indians before Gandhi's arrival in Indian politics. Discuss the intellectual origins of the argumentative framework that underpinned the conceptualization of the social reforms that led to the revolution in India.
Discuss the circumstances surrounding the formation of the Congress Socialist Party (CSP) under Jawaharlal Nehru and the eventual failure of the proposal for direct elections with adult suffrage in the Indian constitution. Block Level: Organizational Hierarchy (Different Departments), Village Level: Role of Elected and Appointed Officials, Importance of People's Democracy. A review of existing evidence on a review topic to inform program planning and policy making by DfID, other agencies and researchers.
What is the evidence about the effectiveness of these pedagogical practices, in what circumstances and with what population of learners. How can teacher training (curriculum and practicum) and the school curriculum and guidance materials best support effective pedagogy. Introduction and Methodology: Objectives and rationale, Policy background, Conceptual framework and terminology Theories of learning, Curriculum, Teacher training.
Evidence on the effectiveness of pedagogical practices, Methodology for the in-depth phase: quality assessment of included studies. How can teacher training (curriculum and practicum) and the school curriculum and guidance materials best support effective pedagogy? Research Gaps and Future Directions: Research Design, Contexts, Pedagogy, Teacher Education, Curriculum and Assessment, Dissemination and Research Impact.
