Engineering GEN-Z From Engineers to Technocrats

presentation about skills required for gen Z engineering students

1. Engineering GEN-Z From Engineers to Technocrats

2. Flow of Presentation: Understanding Engineering : Establish the difference between an engineer an skilled worker. Defining Engineering : Differencing science with engineering, definition of engineering. Various streams/ branches of engineering and their interconnections. Objectives and skill-sets of engineers. The phenomenon of Gen-Z Engineering / Engineers : Requirements of future engineers.

3. Plumber Electrician

4. Carpenter Auto Mechanic

5. Train Operator Printing Press Operator

6. PC Technician Building Supervisor/Handyman

7. Welder Machinist

8. Trade Profession

9. Investigation, understanding, and discovery of nature, its composition, and its behavior (i.e., “laws of nature”) Why Manipulating the forces of nature to advance humanity Build (experiments, tools, devices, etc.) to learn How Learn to build (products and services useful for humans)

10. Which of these things are examples of technology (Engineering)? How do you know something is technology?

11. Engineering: Latin root, Ingeniare , to design or to devise Engineering is design under constraint ↓ device, component, subsystem, system such as` Airplane Engine Air Conditioner Heart Valve Skyscraper Microcontroller Prosthetics Bridge

12. Profession in which knowledge of math and natural sciences, gained by study, experience, and practice, is applied with judgment to develop ways to use, economically, the materials and forces of nature for the benefit of mankind. [ Accreditation Board for Engineering and Technology (ABET)] The creative application of scientific principles to design or develop structures, machines, apparatus, or manufacturing processes, or works utilizing them singly or in combination; or to construct or operate the same with full cognizance of their design; or to forecast their behavior under specific operating conditions; all as respects an intended function, economics of operation and safety to life and property

13. Profession Math and natural sciences Knowledge acquired by study, experience, and professional practice Knowledge applied with judgment Attention must be paid to constraints (economic, materials, forces of nature) Benefit of mankind Not based solely on trial, error, intuition Successful engineering design improves quality of life while working within technical, economic, business, societal, and ethical constraints. Technology: Outcome of engineering

14. Machines & Mechanism Manufacturing Machinery, Production, Manufacturing Streams of Engineering

15. Compute Aided Analysis & Design Aerodynamic Design of Vehicles Analysis & Design

16. Wind Energy Fuel Cell Energy and its applications Solar Energy

17. UAV Space Shuttle Air & Space

18. Robotics Utilities Systems

19. Foundation Structural Analysis Structural Designs and Analysis

20. Bridges Skyscraper Tunnels Construction Metro Projects Highways

21. Water Treatment Environmental Bio Gas Plants Smog Towers

22. Transportation Utilities Systems

23. Electricity Generation and Distribution Electrical & Electronic Circuits

24. Motors Generator Motors & Generators

25. Power Supply Measurement Instruments and Controls Oscilloscope

26. Radar Technology

27. Networking Communication Instruments Communication & Networks

28. Mechanical Aerospace Aeronautical Automobile Industrial Materials 3D Printing Nano Materials Manufacturing Metallurgical Cryogenics Naval/Marine Civil Structural Transportational Highways and Logistics Environmental Construction technology Agricultural Mining Ceramic Engineering Petroleum Electrical Electronics Mechatronics System Engineering Power Plants CS/IT Software design and Development Data science and Analysis AI ML Robotics Augmented Reality Chemical Biochemicals Biomaterials Bioengineering Biomedical Biotechnology Architectural Nuclear Textile Broad Classification of Various Engineering Streams / Disciplines

29. Research: Advance field Development: Lab to market Testing: Verify integrity, reliability, quality Design: Develop specs for manufacturing, construction, etc. Analysis: Use math models to aid in R&D Systems: Integrate components to produce functioning product Manufacturing: Develop plants and process to make products Construction: Build

30. Facility/Plant Operation Maintenance Technical Support Customer Support Sales Consulting Management Others

31. Engineering Skill-Sets

32. Engineering’s future lies in keeping up with technology. To maintain their edge, engineers must keep up with the emergence of new technologies and methodologies. Pursuing ongoing education and professional development is essential to stay abreast of engineering developments. Since new technologies are always being developed, engineers must stay updated. Participate in professional development events like conferences, workshops and webinars, using various internet resources are some ways to achieve this. the future of technology and engineering are intertwined. As new technologies are created, engineers must figure out how to use them in real-world situations. This could entail creating novel designs for objects or buildings or discovering more effective production techniques. Engineering will require expertise in various fields in the future, including augmented reality, robotics, wireless technology, artificial intelligence, and many more. All significant branches of engineering, including civil, electrical, electronics, mechanical and chemical, will combine technical knowledge. As the world changes, staying current and keeping up with technological advancements is crucial.

33. Overview Of Emerging Technologies In Engineering N ew and disruptive technologies such as IoT, AI, data science and analysis, AR/VR, Nanotechnology, 3D printing, and Evs are presenting new opportunities for industries to improve their productivity and ability to make informative decisions. By acquiring knowledge of emerging technologies in engineering, engineers can gain a competitive edge, improve product design and development processes, and ultimately contribute to industry growth. Artificial Intelligence And Its Applications In Engineering Artificial intelligence is a broad field, which refers to the use of technologies to build machines and computers that have the ability to mimic cognitive functions associated with human intelligence, such as being able to see, understand, and respond to spoken or written language, analyze data, make recommendations, and more. From chatbots that help us order food to self-driving cars that take us where we need to go, AI is changing how we live our lives. And with new technological advances happening every day, the possibilities for what AI can do are endless!

34. Applications of AI/ML in Engineering The major application of AI in engineering are: 1. Predictive Maintenance AI algorithms can analyze sensor data to predict when machines need maintenance, reducing downtime and increasing efficiency. 2. Design Optimization AI can help engineers optimize designs by analyzing data and generating new designs based on specific parameters. 3. Quality Control AI-powered systems can detect product defects and anomalies during manufacturing, ensuring consistent quality. 4. Autonomous Vehicles AI is being used to develop self-driving and other autonomous vehicles, potentially revolutionizing transportation.

35. Data Science and Analysis in Engineering Data science is an essential part of many industries today, given the massive amounts of data that are produced, and is one of the most debated topics in IT circles. Data analysis involves gathering and studying data and form insights that can be used to make decisions. The information derived can be useful in several different ways, such as for building a business strategy or ensuring the safety and efficiency of an engineering project. Data science uses modern tools and techniques to find unseen patterns, derive meaningful information, and make business decisions. Data science uses complex machine learning algorithms to build predictive models. The data used for analysis can come from many different sources and presented in various formats. Not only is data analysis valuable to Engineers for dealing with current issues, but it also aids in predicting future trends. Engineers can use historical data and trend forecasting, a type of data analysis, to forecast potential problems and design more efficient systems.

36. The Data Science Lifecycle Data science’s lifecycle consists of five distinct stages, each with its own tasks: Collection of data : Data Acquisition, Data Entry, Signal Reception, Data Extraction. This stage involves gathering raw structured and unstructured data. Cleaning ad Preparation : Data Warehousing, Data Cleansing, Data Staging, Data Processing, Data Architecture. This stage covers taking the raw data and putting it in a form that can be used. Modelling of data : Data Mining, Clustering/Classification, Data Modeling, Data Summarization. Data scientists take the prepared data and examine its patterns, ranges, and biases to determine how useful it will be in predictive analysis. Analyze the data : Exploratory/Confirmatory, Predictive Analysis, Regression, Text Mining, Qualitative Analysis. This stage involves performing the various analyses on the data. Communicate the Outcomes : Data Reporting, Data Visualization, Business Intelligence, Decision Making. In this final step, analysts prepare the analyses in easily readable forms such as charts, graphs, and reports.

37. Data Science Prerequisites Some of the technical concepts required to learn the data science. 1. Machine Learning: Machine learning is the backbone of data science. Data Scientists need to have a solid grasp of ML in addition to basic knowledge of statistics. 2. Modeling: Mathematical models enable you to make quick calculations and predictions based on what you already know about the data. Modeling is also a part of Machine Learning and involves identifying which algorithm is the most suitable to solve a given problem and how to train these models. 3. Statistics: Statistics are at the core of data science. A sturdy handle on statistics can help you extract more intelligence and obtain more meaningful results. 4. Programming: Some level of programming is required to execute a successful data science project. The most common programming languages are Python, and R. Python is especially popular because it’s easy to learn, and it supports multiple libraries for data science and ML. 5. Database: A capable data scientist needs to understand how databases work, how to manage them, and how to extract data from them.

38. Data analysis is the cornerstone of innovation, problem-solving, and evidence-based decision-making in various engineering disciplines. The table below explaining its importance across a few fields:

39. Robotics And Its Applications In Engineering Robotics is a fascinating field that has revolutionized engineering in countless ways. From manufacturing to healthcare, robotics has transformed how we work and live. Here are some  applications of robotics in engineering : Manufacturing In manufacturing plants, robots are commonly utilized to carry out repetitive tasks like welding and assembly line work. 2. Agriculture Agricultural robots are used for crop monitoring, planting, and harvesting. 3. Healthcare Robotics is used in healthcare for surgeries, prosthetics, and physical therapy. 4. Space Exploration Robots are used to explore planets and gather data. 5. Education Robotics is also being used in education to teach students about programming, engineering, and problem-solving skills.

40. Internet of Things (IoT) And Its Applications In Engineering The IoT refers to a network of Internet-linked devices, architecture, sensors and appliances that can collect and share data without need of human interaction. With real-time monitoring and predictive analytics, IoT can help identify inefficiencies and reduce costs while improving safety in various sectors such as manufacturing, transportation, and Energy.  Applications of IoT i n Engineering 1. Maintenance Management IoT sensors can monitor equipment and machinery in real-time, allowing engineers to detect issues before they become serious problems. 2. Smart Grids IoT technology can create smart grids that improve energy efficiency and reduce waste. 3. Traffic Management IoT sensors can monitor traffic flow and optimize traffic management systems. 4. Building Automation IoT devices can automate building systems such as lighting, heating, and air conditioning, improving energy efficiency and reducing costs.

41. Nanotechnology And Its Applications In Engineering Nanotechnology is a fascinating engineering field that deals with manipulating and studying materials on a nanoscale level. Nanotechnology has gathered much attention recently with its potential to revolutionize the medical, energy, and electronics industries.  The ability to engineer materials at the molecular level opens up new possibilities for developing innovative products and devices, such as nanosensors that can detect and measure pollutants or disease biomarkers. Applications 1. Materials Science Nanotechnology has created new materials with unique properties, such as increased strength, flexibility, and conductivity. Schematic of Nanoparticles

42. 2. Energy Nanotechnology is used to develop new energy storage and conversion forms, including batteries and solar cells. 3. Biomedical Engineering Nanoparticles are being developed for targeted drug delivery and imaging applications. 4. Electronics Nanotechnology creates faster and more efficient electronic devices like transistors and memory chips. 5. Environmental Engineering Nano-enabled water filtration systems can more effectively remove pollutants from water sources than traditional methods.

43. 3D Printing: A r evolution in intricate products manufacturing and development A lso popularly known as additive manufacturing is a complex process where the model of an object is created using CAD software – detailed object modeling software. The CAD files of object, in a specific format then be transferred to the 3D printing machine, which consequently results in the formation of thin layers of material, with each layer bonded to the layer before it to create precise shapes. Mechanical engineers have designed objects for 3D printing that have brought tremendous improvements to the mankind, including prosthetic limbs, illustrations for the blind.

44. Electric Vehicles The rise of electric vehicles is set to dramatically change the way mechanical engineers work – the most important being the shift from internal combustion engines to internal combustion systems that function in integration with cleaner battery power. Reduction in the emission of all greenhouse gases (GHG) by reducing the usage of fossil fuels through introduction of electrified powertrain technologies such as hybrid electric vehicle (HEV), battery electric vehicle (BEV) is perceived as a way towards a more sustainable future.

45. From artificial intelligence to 3D printing, these  innovations  are reshaping industries and creating new opportunities for growth and development.  With the rise of smarter machines and more connected systems, engineers can design and build faster, more efficient, and more sustainable products than ever before. By embracing these emerging technologies, we can unlock a new era of innovation and progress in engineering. Challenges In Emerging Technologies In Engineering Challenges may be discouraging, but , also provides exciting opportunities for progress and innovation. Some of the key challenges associated with application of emerging technologies: 1. Integration As innovations and technologies emerge, it can be difficult to integrate them seamlessly into existing systems and processes.

46. 2. Security Emerging technologies often raise new security concerns that must be addressed to ensure users’ safety and privacy. 3. Complexity Many emerging technologies are complex and require specialized knowledge and expertise to develop and maintain. 4. Cost Developing and implementing emerging technologies can be expensive, particularly if they require extensive research or infrastructure upgrades. 5. Regulation As emerging technologies become more prevalent, a growing need for regulation is needed to ensure they are used responsibly and ethically.

47. The Finishing Keynote

48. THANK YOU