Bachelor of Engineering (Computer Science & Engineering – Artificial Intelligence and Machine Learning)
About Program
The program focuses on artificial intelligence, machine learning, and data-driven technologies. Students learn algorithms, neural networks, and data analytics techniques. Practical projects involve real-world AI applications. The curriculum integrates programming with advanced computing concepts. Industry-relevant tools are used extensively. Graduates are prepared for careers in AI, data science, and intelligent systems.
Program Highlight
Program Outcomes (POs)
| POs | Description |
|---|---|
| PO1 | Engineering Knowledge: Apply knowledge of mathematics, science, engineering fundamentals, and computer science to solve complex engineering problems. |
| PO2 | Problem Analysis: Identify, formulate, review research literature, and analyze complex engineering problems using logical and analytical approaches. |
| PO3 | Design/Development of Solutions: Design solutions for complex engineering problems and develop system components or processes that meet specified needs considering public health, safety, and environmental factors. |
| PO4 | Conduct Investigations of Complex Problems: Use research-based knowledge and methods including design of experiments, data analysis, and interpretation of data. |
| PO5 | Modern Tool Usage: Create, select, and apply appropriate modern engineering and IT tools including simulation, modeling, and data analysis tools. |
| PO6 | The Engineer and Society: Apply reasoning informed by contextual knowledge to assess societal, health, safety, legal, and cultural issues. |
| PO7 | Environment and Sustainability: Understand the impact of engineering solutions in societal and environmental contexts and promote sustainable development. |
| PO8 | Ethics: Apply ethical principles and commit to professional ethics and responsibilities. |
| PO9 | Individual and Team Work: Function effectively as an individual and as a member or leader in multidisciplinary teams. |
| PO10 | Communication: Communicate effectively through reports, presentations, and technical documentation. |
| PO11 | Project Management and Finance: Apply engineering and management principles to manage projects and financial aspects. |
| PO12 | Life-long Learning: Recognize the need for and engage in independent and lifelong learning. |
Program Specific Outcomes (PSOs)
| PSOs | Description |
|---|---|
| PSO1 | AI & Machine Learning Model Development: Design, develop, and deploy Artificial Intelligence and Machine Learning models using appropriate algorithms such as supervised learning, unsupervised learning, and deep learning. |
| PSO2 | Data Analysis and Intelligent Systems: Apply data preprocessing, feature engineering, data analytics, and predictive modeling techniques to build intelligent decision-support systems. |
| PSO3 | AI Tools and Technologies: Utilize modern AI/ML tools and frameworks such as Python-based libraries, neural networks, natural language processing, and computer vision techniques for real-world applications. |
| PSO4 | Ethical and Responsible AI Systems: Develop AI-driven solutions considering fairness, transparency, privacy, and ethical implications in intelligent system design. |
Technical Electives
- Machine Learning, Deep Learning, Data Analytics
Eligibility
- 12th Science (For 1st Semester) and DtoD – Lateral Entry (For 3rd Semester)
Bachelor of Engineering (Computer Science & Engineering – Artificial Intelligence and Machine Learning) - CURRICULUM
Semester 1
| Subject Name | L | T | P | C |
|---|---|---|---|---|
| English for Technical Communication | 2 | 0 | 2 | 3 |
| Universal Human Values | 3 | 0 | 0 | 3 |
| Integrated Personality Development Course | 2 | 0 | 2 | 3 |
| Contributor Personality Development | 2 | 0 | 2 | 3 |
| Programming for Problem Solving | 2 | 0 | 4 | 4 |
| Design Thinking and Idea Lab | 0 | 0 | 4 | 2 |
| Engineering Graphics and Design | 2 | 0 | 4 | 4 |
| Mathematics-I | 3 | 1 | 0 | 4 |
| Physics | 3 | 0 | 2 | 4 |
| Induction Program with Essence of Indian Knowledge | 0 | 0 | 0 | 0 |
| Total | 19 | 1 | 20 | 30 |
Semester 2
| Subject Name | L | T | P | C |
|---|---|---|---|---|
| Mathematics-II | 3 | 1 | 0 | 4 |
| Research Methodology and Intellectual Property Rights | 2 | 0 | 2 | 3 |
| Fundamentals of AI | 2 | 0 | 2 | 3 |
| Sports and Yoga | 0 | 0 | 2 | 0 |
| Workshop and Manufacturing Practices | 0 | 0 | 4 | 2 |
| Fundamentals of Electrical and Electronics Engineering | 3 | 0 | 2 | 4 |
| Object Oriented Programming in C++ | 3 | 0 | 2 | 4 |
| Digital Electronics | 3 | 0 | 2 | 4 |
| Total | 16 | 1 | 16 | 24 |
L = Lecture,
T = Tutorial,
P = Practical,
C = Credits
Internship Detail
Internship to be completed in an industry focusing on practical industrial exposure, professional skills development, and application of engineering knowledge.
Full-time internship or project to be completed focusing on independent engineering work, research, design, or development under industrial or academic supervision.
