Course Structure Overview
The engineering program at Pacific Academy of Higher Education and Research Udaipur is structured to ensure a balanced blend of theoretical knowledge, practical skills, and industry exposure. The curriculum spans eight semesters, with each semester carefully designed to build upon the previous one, leading students towards becoming competent engineers ready for professional roles.
Semester-wise Course Breakdown
| Semester | Course Code | Course Title | Credit (L-T-P-C) | Pre-requisites |
|---|---|---|---|---|
| 1 | ENG101 | Engineering Mathematics I | 3-1-0-4 | - |
| 1 | ENG102 | Physics for Engineers | 3-1-0-4 | - |
| 1 | ENG103 | Chemistry for Engineers | 3-1-0-4 | - |
| 1 | ENG104 | Computer Programming | 2-0-2-3 | - |
| 1 | ENG105 | Engineering Drawing & Design | 2-0-2-3 | - |
| 2 | ENG201 | Engineering Mathematics II | 3-1-0-4 | ENG101 |
| 2 | ENG202 | Strength of Materials | 3-1-0-4 | ENG102 |
| 2 | ENG203 | Circuit Analysis | 3-1-0-4 | ENG102 |
| 2 | ENG204 | Thermodynamics | 3-1-0-4 | ENG102 |
| 2 | ENG205 | Introduction to Programming | 2-0-2-3 | ENG104 |
| 3 | ENG301 | Fluid Mechanics | 3-1-0-4 | ENG202 |
| 3 | ENG302 | Signals and Systems | 3-1-0-4 | ENG201 |
| 3 | ENG303 | Materials Science | 3-1-0-4 | ENG103 |
| 3 | ENG304 | Data Structures and Algorithms | 3-1-0-4 | ENG205 |
| 3 | ENG305 | Electronic Devices | 3-1-0-4 | ENG203 |
| 4 | ENG401 | Heat Transfer | 3-1-0-4 | ENG204 |
| 4 | ENG402 | Control Systems | 3-1-0-4 | ENG302 |
| 4 | ENG403 | Operating Systems | 3-1-0-4 | ENG304 |
| 4 | ENG404 | Database Management Systems | 3-1-0-4 | ENG304 |
| 4 | ENG405 | Microprocessor and Embedded Systems | 3-1-0-4 | ENG305 |
| 5 | ENG501 | Advanced Mathematics for Engineers | 3-1-0-4 | ENG201 |
| 5 | ENG502 | Machine Learning | 3-1-0-4 | ENG404 |
| 5 | ENG503 | Network Security | 3-1-0-4 | ENG403 |
| 5 | ENG504 | Software Engineering | 3-1-0-4 | ENG403 |
| 5 | ENG505 | Renewable Energy Systems | 3-1-0-4 | ENG204 |
| 6 | ENG601 | Advanced Data Structures | 3-1-0-4 | ENG504 |
| 6 | ENG602 | Big Data Analytics | 3-1-0-4 | ENG502 |
| 6 | ENG603 | Cloud Computing | 3-1-0-4 | ENG403 |
| 6 | ENG604 | Human Factors Engineering | 3-1-0-4 | ENG202 |
| 6 | ENG605 | Sustainable Manufacturing | 3-1-0-4 | ENG202 |
| 7 | ENG701 | Capstone Project I | 2-0-4-6 | ENG504, ENG502 |
| 7 | ENG702 | Research Methodology | 3-1-0-4 | - |
| 7 | ENG703 | Industrial Internship | 0-0-6-6 | - |
| 7 | ENG704 | Project Management | 3-1-0-4 | ENG504 |
| 7 | ENG705 | Advanced Control Systems | 3-1-0-4 | ENG402 |
| 8 | ENG801 | Capstone Project II | 2-0-6-8 | ENG701 |
| 8 | ENG802 | Professional Ethics and Sustainability | 3-1-0-4 | - |
| 8 | ENG803 | Entrepreneurship and Innovation | 3-1-0-4 | - |
| 8 | ENG804 | Final Thesis or Research Paper | 2-0-6-8 | ENG702 |
| 8 | ENG805 | Industry Exposure Workshop | 3-1-0-4 | - |
Advanced Departmental Electives
Machine Learning (ENG502): This course introduces students to the fundamentals of machine learning algorithms, including supervised and unsupervised learning techniques. Students learn how to apply these methods to real-world problems in data analysis and predictive modeling. The course includes hands-on labs using Python libraries such as scikit-learn and TensorFlow.
Network Security (ENG503): Designed for students interested in cybersecurity, this elective covers topics such as encryption, firewalls, intrusion detection systems, and secure network design. Students gain practical experience through lab sessions involving penetration testing and vulnerability assessment tools.
Software Engineering (ENG504): This course focuses on the principles and practices of software development lifecycle management, including requirements gathering, system design, implementation, testing, and maintenance. Students work in teams to develop a complete software product following industry standards.
Renewable Energy Systems (ENG505): The course explores various renewable energy sources such as solar, wind, hydroelectric, and geothermal power. Students learn about the technical aspects of these systems, including design considerations, efficiency optimization, and integration into existing grids.
Advanced Data Structures (ENG601): Building upon foundational knowledge, this elective delves into complex data structures like graphs, trees, hash tables, and advanced algorithms. Students solve challenging problems using these structures to optimize performance in large-scale applications.
Big Data Analytics (ENG602): This course covers the tools and techniques used for processing and analyzing massive datasets. Topics include Hadoop, Spark, NoSQL databases, and statistical analysis methods tailored for big data environments.
Cloud Computing (ENG603): Students explore cloud platforms like AWS, Azure, and Google Cloud, learning how to deploy scalable applications and manage distributed systems in virtualized environments.
Human Factors Engineering (ENG604): This course examines human behavior in engineering contexts, focusing on ergonomics, usability design, and safety considerations in product development. It prepares students to create user-centered designs that enhance productivity and reduce errors.
Sustainable Manufacturing (ENG605): The course addresses sustainable practices in manufacturing, including life cycle assessment, waste reduction strategies, and eco-design principles. Students evaluate industrial processes for environmental impact and propose improvements.
Project-Based Learning Philosophy
The department's philosophy on project-based learning emphasizes experiential education that bridges the gap between theory and practice. From the second semester, students participate in mini-projects under faculty guidance to reinforce classroom concepts. These projects are designed to simulate real-world engineering challenges, encouraging creativity, teamwork, and innovation.
During the final year, students undertake a capstone project involving a substantial research or development component. The process includes problem identification, literature review, planning, prototyping, testing, documentation, and presentation. Students are paired with faculty mentors who provide continuous support throughout the project lifecycle.
Evaluation criteria for these projects include technical soundness, creativity, adherence to deadlines, teamwork, and final deliverables. Projects may lead to publications, patents, or startup ventures, giving students tangible achievements that enhance their employability.