Comprehensive Course Structure Across All 8 Semesters
The Diploma in Engineering program at Phonics Group of Institutions is structured over eight semesters, with a carefully balanced mix of core subjects, departmental electives, science electives, and practical labs. This structure ensures that students gain both breadth and depth in their engineering knowledge while developing hands-on skills through real-world applications.
| Semester | Course Code | Course Title | Credit Structure (L-T-P-C) | Prerequisites |
|---|---|---|---|---|
| 1 | ENG101 | English Communication Skills | 3-0-0-3 | - |
| 1 | MAT101 | Mathematics I | 4-0-0-4 | - |
| 1 | PHY101 | Physics I | 3-0-0-3 | - |
| 1 | CHE101 | Chemistry I | 3-0-0-3 | - |
| 1 | BME101 | Basics of Mechanical Engineering | 2-0-0-2 | - |
| 1 | ECE101 | Introduction to Electrical & Electronics Engineering | 2-0-0-2 | - |
| 1 | IT101 | Introduction to Information Technology | 2-0-0-2 | - |
| 1 | L101 | Lab I: Basic Engineering Experiments | 0-0-3-1 | - |
| 2 | MAT102 | Mathematics II | 4-0-0-4 | MAT101 |
| 2 | PHY102 | Physics II | 3-0-0-3 | PHY101 |
| 2 | BME102 | Mechanical Engineering Fundamentals | 3-0-0-3 | BME101 |
| 2 | ECE102 | Electrical Circuits and Devices | 3-0-0-3 | ECE101 |
| 2 | IT102 | Programming Fundamentals | 3-0-0-3 | IT101 |
| 2 | L102 | Lab II: Engineering Mechanics & Materials | 0-0-3-1 | BME101 |
| 3 | MAT103 | Mathematics III | 4-0-0-4 | MAT102 |
| 3 | PHY103 | Physics III | 3-0-0-3 | PHY102 |
| 3 | BME103 | Thermodynamics & Fluid Mechanics | 3-0-0-3 | BME102 |
| 3 | ECE103 | Digital Electronics | 3-0-0-3 | ECE102 |
| 3 | IT103 | Data Structures and Algorithms | 3-0-0-3 | IT102 |
| 3 | L103 | Lab III: Electronics & Digital Circuits | 0-0-3-1 | ECE102 |
| 4 | MAT104 | Mathematics IV | 4-0-0-4 | MAT103 |
| 4 | PHY104 | Physics IV | 3-0-0-3 | PHY103 |
| 4 | BME104 | Mechanical Design & Manufacturing | 3-0-0-3 | BME103 |
| 4 | ECE104 | Analog Electronics | 3-0-0-3 | ECE103 |
| 4 | IT104 | Database Management Systems | 3-0-0-3 | IT103 |
| 4 | L104 | Lab IV: Analog Circuits & Microcontrollers | 0-0-3-1 | ECE103 |
| 5 | MAT201 | Advanced Mathematics I | 4-0-0-4 | MAT104 |
| 5 | BME201 | Strength of Materials | 3-0-0-3 | BME104 |
| 5 | ECE201 | Signals and Systems | 3-0-0-3 | ECE104 |
| 5 | IT201 | Software Engineering & Project Management | 3-0-0-3 | IT104 |
| 5 | L201 | Lab V: Machine Design & Analysis | 0-0-3-1 | BME104 |
| 6 | MAT202 | Advanced Mathematics II | 4-0-0-4 | MAT201 |
| 6 | BME202 | Control Systems | 3-0-0-3 | BME201 |
| 6 | ECE202 | Communication Systems | 3-0-0-3 | ECE201 |
| 6 | IT202 | Operating Systems & Networking | 3-0-0-3 | IT201 |
| 6 | L202 | Lab VI: Control Systems & Communication | 0-0-3-1 | ECE201 |
| 7 | BME301 | Structural Engineering | 3-0-0-3 | BME202 |
| 7 | ECE301 | Microprocessor & Microcontroller Applications | 3-0-0-3 | ECE202 |
| 7 | IT301 | Web Technologies & Mobile Apps | 3-0-0-3 | IT202 |
| 7 | L301 | Lab VII: Embedded Systems & IoT | 0-0-3-1 | ECE301 |
| 8 | BME302 | Sustainable Engineering Practices | 3-0-0-3 | BME301 |
| 8 | ECE302 | Wireless Communication & Networks | 3-0-0-3 | ECE301 |
| 8 | IT302 | Cloud Computing & DevOps | 3-0-0-3 | IT301 |
| 8 | L302 | Lab VIII: Capstone Project Lab | 0-0-6-2 | - |
Detailed Descriptions of Departmental Electives
Advanced courses in the Diploma in Engineering program are designed to give students a deeper understanding of specialized areas within engineering. These departmental electives provide exposure to cutting-edge technologies and methodologies that are directly applicable to industry needs.
Course 1: Artificial Intelligence and Machine Learning (IT303)
This course introduces students to fundamental concepts in AI and ML, including supervised and unsupervised learning, neural networks, natural language processing, and computer vision. Students learn to implement algorithms using Python and TensorFlow, preparing them for roles in data science and machine learning engineering.
Course 2: Cybersecurity Fundamentals (IT304)
Designed to provide a comprehensive overview of cybersecurity principles, this course covers topics such as cryptography, network security, ethical hacking, and risk assessment. Students gain hands-on experience using tools like Wireshark, Kali Linux, and Metasploit.
Course 3: Renewable Energy Systems (BME303)
This elective explores various renewable energy technologies including solar panels, wind turbines, hydroelectric systems, and geothermal energy. Students study energy storage solutions, grid integration, and sustainable design practices.
Course 4: Embedded Systems Design (ECE303)
Focusing on the design and implementation of embedded systems, this course teaches students how to develop real-time applications using microcontrollers and operating systems. Practical labs include programming in C/C++, interfacing sensors, and building IoT devices.
Course 5: Structural Analysis (BME304)
This course delves into advanced structural analysis techniques including finite element methods, earthquake engineering, and bridge design. Students use software tools like SAP2000 and ETABS to model structures and analyze loads.
Course 6: Data Analytics for Engineers (IT305)
Combining statistical methods with data science, this course teaches students how to extract insights from large datasets using Python, R, and SQL. Applications include predictive modeling, optimization, and visualization techniques.
Course 7: Industrial Automation & Control (BME305)
This course explores automation technologies used in manufacturing environments, including PLCs, SCADA systems, robotics, and process control. Students learn to design control systems for industrial applications.
Course 8: Internet of Things (IoT) Applications (ECE304)
Designed to familiarize students with IoT technologies and platforms, this course covers sensor networks, wireless communication protocols, cloud connectivity, and smart device development. Students build working prototypes using Arduino and Raspberry Pi.
Course 9: Software Testing & Quality Assurance (IT306)
This elective provides students with knowledge of software testing methodologies, including unit testing, integration testing, and performance testing. Students gain experience with tools like Selenium, JUnit, and Postman to ensure software quality.
Course 10: Advanced Robotics Engineering (BME306)
This course focuses on robotics design, control systems, and autonomous navigation. Students learn to program robots using ROS (Robot Operating System) and develop applications in manufacturing, healthcare, and exploration domains.
Project-Based Learning Framework
The Department of Engineering at Phonics Group places significant emphasis on project-based learning as a core component of its curriculum. The approach encourages students to apply theoretical knowledge to practical challenges, fostering innovation, teamwork, and problem-solving skills.
Mini-projects are introduced in the second year, allowing students to explore their interests within specific engineering disciplines. These projects are typically completed in groups of 3-5 members and involve designing, building, testing, and documenting solutions to real-world problems.
The final-year capstone project is a major milestone that integrates all learned concepts. Students work closely with faculty mentors to select a topic relevant to their specialization or industry demand. The process includes proposal development, research, implementation, and presentation before a panel of experts.
Evaluation criteria for projects are based on innovation, technical execution, teamwork, documentation quality, and oral presentation skills. Projects often result in patents, startup ideas, or publications in academic journals.
Faculty members play a crucial role in guiding students throughout their project journey. Each student is assigned a mentor who provides expertise, feedback, and support during all stages of the project lifecycle.