The curriculum at Pes University Bangalore is meticulously designed to provide students with a comprehensive understanding of engineering principles while encouraging innovation, creativity, and ethical responsibility. The program spans four years and is structured into eight semesters, each with a carefully curated set of courses that progressively build upon foundational knowledge.
| Semester | Course Code | Course Title | Credit Structure (L-T-P-C) | Pre-requisites |
|---|---|---|---|---|
| I | ENG101 | English for Engineers | 3-0-0-3 | - |
| I | MAT101 | Calculus I | 4-0-0-4 | - |
| I | MAT102 | Linear Algebra and Differential Equations | 3-0-0-3 | - |
| I | PHY101 | Physics for Engineers | 3-0-0-3 | - |
| I | CHE101 | Chemistry for Engineers | 3-0-0-3 | - |
| I | COM101 | Computer Programming | 2-0-2-4 | - |
| I | ECE101 | Introduction to Electronics | 3-0-0-3 | - |
| I | MEC101 | Engineering Mechanics | 3-0-0-3 | - |
| I | HSS101 | Humanities and Social Sciences | 2-0-0-2 | - |
| I | LAB101 | Programming Lab | 0-0-2-2 | - |
| I | LAB102 | Physics Lab | 0-0-2-2 | - |
| II | MAT201 | Calculus II | 4-0-0-4 | MAT101 |
| II | ENG201 | Engineering Drawing | 2-0-0-2 | - |
| II | PHY201 | Electromagnetic Fields and Waves | 3-0-0-3 | PHY101 |
| II | CHE201 | Organic Chemistry | 3-0-0-3 | CHE101 |
| II | ECE201 | Digital Logic Design | 3-0-0-3 | ECE101 |
| II | MEC201 | Mechanics of Materials | 3-0-0-3 | MEC101 |
| II | CSE201 | Data Structures and Algorithms | 3-0-0-3 | COM101 |
| II | LAB201 | Digital Logic Lab | 0-0-2-2 | ECE201 |
| II | LAB202 | Chemistry Lab | 0-0-2-2 | CHE201 |
| III | MAT301 | Statistics and Probability | 3-0-0-3 | MAT201 |
| III | ECE301 | Analog Circuits | 3-0-0-3 | ECE201 |
| III | CSE301 | Database Management Systems | 3-0-0-3 | CSE201 |
| III | MEC301 | Thermodynamics | 3-0-0-3 | MEC201 |
| III | CIV301 | Strength of Materials | 3-0-0-3 | MEC201 |
| III | CHM301 | Physical Chemistry | 3-0-0-3 | CHE201 |
| III | LAB301 | Analog Circuits Lab | 0-0-2-2 | ECE301 |
| III | LAB302 | Thermodynamics Lab | 0-0-2-2 | MEC301 |
| IV | ECE401 | Control Systems | 3-0-0-3 | ECE301 |
| IV | CSE401 | Operating Systems | 3-0-0-3 | CSE201 |
| IV | MEC401 | Fluid Mechanics | 3-0-0-3 | MEC301 |
| IV | CIV401 | Structural Analysis | 3-0-0-3 | CIV301 |
| IV | CHM401 | Chemical Kinetics | 3-0-0-3 | CHM301 |
| IV | LAB401 | Control Systems Lab | 0-0-2-2 | ECE401 |
| IV | LAB402 | Fluid Mechanics Lab | 0-0-2-2 | MEC401 |
| V | ECE501 | Signal Processing | 3-0-0-3 | ECE401 |
| V | CSE501 | Software Engineering | 3-0-0-3 | CSE401 |
| V | MEC501 | Machine Design | 3-0-0-3 | MEC401 |
| V | CIV501 | Transportation Engineering | 3-0-0-3 | CIV401 |
| V | CHM501 | Biochemistry | 3-0-0-3 | CHM401 |
| V | LAB501 | Signal Processing Lab | 0-0-2-2 | ECE501 |
| V | LAB502 | Machine Design Lab | 0-0-2-2 | MEC501 |
| VI | ECE601 | Microprocessors and Microcontrollers | 3-0-0-3 | ECE501 |
| VI | CSE601 | Artificial Intelligence | 3-0-0-3 | CSE501 |
| VI | MEC601 | Manufacturing Technology | 3-0-0-3 | MEC501 |
| VI | CIV601 | Environmental Engineering | 3-0-0-3 | CIV501 |
| VI | CHM601 | Industrial Chemistry | 3-0-0-3 | CHM501 |
| VI | LAB601 | Microprocessors Lab | 0-0-2-2 | ECE601 |
| VI | LAB602 | Manufacturing Lab | 0-0-2-2 | MEC601 |
| VII | ECE701 | Embedded Systems | 3-0-0-3 | ECE601 |
| VII | CSE701 | Data Science and Big Data Analytics | 3-0-0-3 | CSE601 |
| VII | MEC701 | Robotics and Automation | 3-0-0-3 | MEC601 |
| VII | CIV701 | Construction Management | 3-0-0-3 | CIV601 |
| VII | CHM701 | Pharmaceutical Chemistry | 3-0-0-3 | CHM601 |
| VII | LAB701 | Embedded Systems Lab | 0-0-2-2 | ECE701 |
| VII | LAB702 | Robotics Lab | 0-0-2-2 | MEC701 |
| VIII | ECE801 | Advanced Topics in Electronics | 3-0-0-3 | ECE701 |
| VIII | CSE801 | Cloud Computing and DevOps | 3-0-0-3 | CSE701 |
| VIII | MEC801 | Nanotechnology and Smart Materials | 3-0-0-3 | MEC701 |
| VIII | CIV801 | Geotechnical Engineering | 3-0-0-3 | CIV701 |
| VIII | CHM801 | Advanced Organic Chemistry | 3-0-0-3 | CHM701 |
| VIII | LAB801 | Advanced Electronics Lab | 0-0-2-2 | ECE801 |
| VIII | LAB802 | Nanotechnology Lab | 0-0-2-2 | MEC801 |
Advanced departmental elective courses form a significant part of the curriculum, offering students opportunities to specialize in niche areas and explore emerging technologies. Some of these include:
- Artificial Intelligence and Machine Learning: This course delves into deep learning architectures, natural language processing, computer vision, and reinforcement learning algorithms. Students engage in projects involving neural network design, image classification, sentiment analysis, and autonomous systems.
- Cybersecurity Fundamentals: Focused on protecting digital assets, this course covers encryption techniques, network security protocols, ethical hacking, and incident response strategies. Students learn to defend against cyber threats and secure information systems using real-world case studies.
- Renewable Energy Systems: This course explores solar power generation, wind energy conversion, hydroelectric systems, and energy storage technologies. Students study the technical aspects of renewable energy integration into existing grids and develop models for optimizing energy efficiency.
- Sustainable Construction Materials: Designed to address environmental concerns in construction, this course investigates eco-friendly building materials such as bamboo composites, recycled concrete, and bio-based polymers. Practical labs involve testing material properties and conducting life cycle assessments.
- Biomedical Signal Processing: Combining engineering principles with medical applications, this course focuses on analyzing physiological signals using digital signal processing techniques. Students work on projects related to ECG monitoring, EEG analysis, and biomedical imaging systems.
The philosophy of project-based learning at Pes University Bangalore emphasizes experiential education that bridges theory and practice. The program incorporates mandatory mini-projects in the second and third years, followed by a comprehensive final-year thesis or capstone project.
Mini-projects are designed to reinforce classroom learning through hands-on experimentation and problem-solving. Each group of 4-5 students selects a topic related to their specialization, works under faculty supervision, and presents findings at mid-year review sessions. The projects often involve designing prototypes, conducting simulations, or implementing software tools that demonstrate conceptual understanding.
The final-year thesis is a significant component of the program, requiring students to conduct independent research or develop an innovative solution to a complex engineering problem. Students collaborate with faculty mentors from their chosen specialization and may work on industry-sponsored projects or university-initiated research initiatives.
Project selection involves a detailed proposal process where students present their ideas, discuss feasibility, and receive feedback from advisors. The evaluation criteria include technical depth, innovation, presentation quality, and adherence to academic standards. Students are encouraged to participate in national-level competitions such as the National Science Foundation (NSF) Research Experience for Undergraduates (REU), IEEE Student Competition, and the National Institute of Technology (NIT) Innovation Challenge.