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B.Tech. Electrical Engineering - AI & ML APPLICATIONS
Program Details
The B.Tech. Electrical Engineering (AI & ML Apllications) program with a specialization in AI & ML Applications offered by UPES School of Advanced Engineering is designed to equip students with the skills and knowledge needed to thrive in the rapidly evolving landscape of Industry 4.0. As artificial intelligence continues to be a cornerstone of emerging technologies such as big data, robotics, and the Internet of Things (IoT), this program focuses on integrating AI and machine learning concepts into the field of electrical engineering.
Students in this program will delve into a comprehensive curriculum that merges the fundamentals of electrical engineering with cutting-edge AI and machine learning techniques. They will gain a deep understanding of AI algorithms, data analysis, and machine learning models, enabling them to tackle intricate real-time engineering challenges. The program's emphasis on modelling, analysis, and problem-solving empowers students to devise innovative solutions to complex issues encountered in today's technological landscape.
By specializing in AI and ML Applications within the realm of electrical engineering, students will emerge as adept professionals capable of harnessing the potential of AI-driven technologies. As they explore the synergies between electrical engineering and AI, they'll be well-prepared to address the demands of the next-generation industry. UPES School of Advanced Engineering's B.Tech. program in Electrical Engineering with a focus on AI and ML Applications is a strategic pathway to cultivating forward-thinking engineers who can thrive in the era of Industry 4.0 and contribute significantly to the transformative technological advancements of our time.
Program Highlights
- Delve into a well-rounded curriculum covering statistics, data science, soft computing techniques, artificial intelligence, deep learning, and natural language processing, enabling students to grasp the breadth of AI and ML applications.
- Learn from experienced faculty members who are well-versed in the fields of AI and ML, ensuring a high-quality education with insights from industry trends and practical applications.
- Engage in practical projects and hands-on experiences, fostering a strong understanding of theoretical concepts through real-world problem-solving in AI and ML domains.
- The B.Tech. Electrical Engineering (AI & ML Applications) program explores the latest advancements in AI and ML, staying up-to-date with emerging tools, techniques, and platforms that are reshaping industries and technology landscapes.
- Benefit from an interdisciplinary approach that integrates electrical engineering principles with AI and ML, preparing graduates to tackle complex challenges in diverse sectors.
- Collaborate with industry partners through workshops, internships, and projects, gaining insights into industry practices and enhancing employability in the rapidly evolving AI and ML job market.
Future Scope / Industry Trends
The B.Tech. Electrical Engineering (AI & ML Applications) program at the School of Advanced Engineering offers a promising future scope. As industries worldwide embrace digital transformation, numerous job opportunities abound in this specialization. Renowned companies including Microsoft, Intel, Qualcomm, IBM, Apple, Cognizant, and Bosch are at the forefront of integrating AI and ML applications into their core operations. Graduates of this program will be well-positioned to secure roles in these industry leaders. Moreover, the program paves the way for advanced studies in data science and machine learning, enabling students to delve deeper into these evolving fields. Overall, the program equips students with the skills and knowledge to excel in the dynamic intersection of electrical engineering, AI, and ML, ensuring a bright and rewarding career path.
Career Opportunities
Graduates of the B.Tech. Electrical Engineering (AI & ML Applications) program at the School of Advanced Engineering are well-equipped to embark on dynamic career paths at the intersection of technology and innovation. With a strong foundation in electrical engineering integrated with cutting-edge AI and machine learning expertise, opportunities abound in various industries. Graduates can thrive as AI engineers, developing intelligent systems and algorithms, or as machine learning specialists, creating predictive models and data-driven solutions. Roles in robotics, automation, and smart technology await, alongside positions in research, development, and project management. This program's comprehensive curriculum cultivates adaptable professionals poised to shape the future of AI and ML applications across sectors, from electronics and healthcare to finance and beyond.
Placements
The B.Tech. Electrical Engineering (AI & ML Applications) program at the School of Advanced Engineering offers a dynamic fusion of traditional electrical engineering principles with cutting-edge advancements in artificial intelligence and machine learning. This innovative curriculum equips students with a profound understanding of electrical systems while immersing them in the transformative realms of AI and ML. Through hands-on projects, industry collaborations, and rigorous coursework, students gain proficiency in developing intelligent systems, data-driven decision-making, and predictive modelling. Graduates emerge as adept engineers with the ability to design smart technologies, automate processes, and harness the power of data for innovative problem-solving. This program paves the way for graduates to excel in diverse sectors, from automation and robotics to data analysis and pattern recognition, meeting the evolving demands of the technology landscape.
Fee Structure
Click here for detailed Fee Structure.
Curriculum
Semester 1
| Course | L | T | P | Credits |
|---|---|---|---|---|
| Managing Self | 2 | 0 | 0 | 2 |
| Environment and Climate Change | 2 | 0 | 0 | 2 |
| Engineering Mathematics I | 3 | 1 | 0 | 4 |
| Physics | 3 | 1 | 2 | 5 |
| Programming for Engineers | 1 | 0 | 4 | 3 |
| Basic Electrical and Electronics Engineering | 3 | 0 | 2 | 4 |
| TOTAL | 20 |
Semester 2
| Course | L | T | P | Credits |
|---|---|---|---|---|
| Time & Priority Management | 2 | 0 | 0 | 2 |
| Environment and Climate Change | 2 | 0 | 0 | 2 |
| Analog Electronics I | 3 | 0 | 0 | 3 |
| Engineering Mathematics II | 3 | 1 | 0 | 4 |
| Workshop Practice | 1 | 0 | 2 | 2 |
| Engineering Graphics | 1 | 0 | 2 | 2 |
| Digital Logic and Computer Design | 3 | 0 | 0 | 3 |
| Chemistry | 3 | 0 | 0 | 3 |
| Design and Build Lab | 0 | 0 | 2 | 1 |
| TOTAL | 22 |
Semester 3
| Course | L | T | P | Credits |
|---|---|---|---|---|
| Exploratory 1 | 3 | 0 | 0 | 3 |
| Communication Skills (Oral) | 2 | 0 | 0 | 2 |
| Measurement and Instrumentation | 3 | 0 | 1 | 4 |
| Electrical Systems and components | 3 | 0 | 2 | 4 |
| Signals and Systems | 3 | 0 | 0 | 3 |
| Network Theory | 3 | 1 | 0 | 4 |
| Social Internship | 0 | |||
| Simulation Design -I | 0 | |||
| TOTAL | 20 |
Semester 4
| Course | L | T | P | Credits |
|---|---|---|---|---|
| Communication Skills (Written) | 2 | 0 | 0 | 2 |
| Exploratory 2 | 3 | 0 | 0 | 3 |
| Electromagnetic Field Theory | 3 | 0 | 0 | 4 |
| Digital System Design | 3 | 0 | 2 | 4 |
| Electrical Machines | 3 | 0 | 2 | 4 |
| Probability & Statistics | 3 | 0 | 0 | 3 |
| Machine learning with Python | 0 | 0 | 4 | 2 |
| Simulation Design -I | 0 | |||
| TOTAL | 21 |
Semester 5
| Course | L | T | P | Credits |
|---|---|---|---|---|
| Technologies of Future/Meta 101 | 2 | 0 | 0 | 2 |
| Working with People | 2 | 0 | 0 | 2 |
| Exploratory 3 | 3 | 0 | 0 | 3 |
| Microprocessor and Microcontroller | 3 | 0 | 2 | 4 |
| Control System Engineering | 3 | 0 | 2 | 4 |
| Industrial Power Electronics | 3 | 0 | 2 | 4 |
| Capstone I | 2 | |||
| TOTAL | 21 |
Semester 6
| Course | L | T | P | Credits |
|---|---|---|---|---|
| Deepening Self | 2 | 0 | 0 | 2 |
| Exploratory 4 | 3 | 0 | 0 | 3 |
| Power System I | 3 | 0 | 2 | 4 |
| Specialization Course I | 3 | 0 | 0 | 3 |
| Communication System | 3 | 0 | 0 | 3 |
| Specialization Course II | 3 | 0 | 0 | 3 |
| Capstone II | 2 | |||
| Industrial Visit | 0 | |||
| TOTAL | 20 |
Semester 7
| Course | L | T | P | Credits |
|---|---|---|---|---|
| Exploratory 5 | 3 | 0 | 0 | 3 |
| Advanced Electrical Machine | 3 | 0 | 0 | 3 |
| Electrical Drives | 3 | 0 | 0 | 3 |
| Power System II | 3 | 0 | 0 | 3 |
| Specialization Course III | 3 | 0 | 0 | 3 |
| Specialization Course IV | 3 | 0 | 0 | 3 |
| Major Project I | 2 | |||
| Industrial Internship | 1 | |||
| TOTAL | 21 |
Semester 8
| Course | L | T | P | Credits |
|---|---|---|---|---|
| Exploratory 6 | 3 | 0 | 0 | 3 |
| Switchgear and Protection | 3 | 0 | 0 | 3 |
| Specialization Course V | 3 | 0 | 0 | 3 |
| Renewable Sources and Energy Market | 3 | 0 | 0 | 3 |
| Major Project II | 6 | |||
| E- Waste Management and Recycling | 2 | 0 | 0 | 2 |
| TOTAL | 20 |
Specialisation Courses
| Sem | Course | L | T | P | Credits |
|---|---|---|---|---|---|
| 6th | Data Science | 3 | 0 | 0 | 3 |
| 6th | Soft Computing Techniques | 3 | 0 | 0 | 3 |
| 7th | Artificial Intelligence | 3 | 0 | 0 | 3 |
| 7th | Deep Learning | 3 | 0 | 0 | 3 |
| 8th | Natural Language Processing | 3 | 0 | 0 | 3 |
Eligibility
Interested students must meet the following minimum eligibility criteria to apply for the B.Tech. Electrical Engineering (AI & ML Applications) with a specialization in AI & ML Applications: Minimum 50% marks in Classes X and XII. with 50% in PCM (Physics/Chemistry and Mathematics) in Class XII.
Selection Criteria
The selection criteria for individuals interested in enrolling in the B.Tech. Electrical Engineering (AI & ML Applications) program with a focus on AI & ML Applications, provided by UPES School of Advanced Engineering, relies on the performance in UPESEAT / JEE Mains / Board Merit / SAT / CUET.
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