Comprehensive Course Structure for FB Service Program
| Semester | Course Code | Course Title | Credit (L-T-P-C) | Prerequisites |
|---|---|---|---|---|
| 1 | FB101 | Introduction to FB Service | 3-0-0-3 | - |
| 1 | FB102 | Mathematics for Service Systems | 4-0-0-4 | - |
| 1 | FB103 | Physics of Service Delivery | 3-0-0-3 | - |
| 1 | FB104 | Programming Fundamentals | 3-0-0-3 | - |
| 1 | FB105 | Communication Skills for Engineers | 2-0-0-2 | - |
| 1 | FB106 | Engineering Design and Drafting | 2-0-0-2 | - |
| 2 | FB201 | Data Structures and Algorithms | 4-0-0-4 | FB104 |
| 2 | FB202 | Service Architecture and Modeling | 3-0-0-3 | FB101 |
| 2 | FB203 | Statistics and Probability for Service Systems | 4-0-0-4 | FB102 |
| 2 | FB204 | Digital Platforms and Applications | 3-0-0-3 | FB104 |
| 2 | FB205 | Service Systems Design | 3-0-0-3 | FB202 |
| 3 | FB301 | Machine Learning for Services | 4-0-0-4 | FB201 |
| 3 | FB302 | Cybersecurity in Service Delivery | 3-0-0-3 | FB204 |
| 3 | FB303 | Data Analytics and Visualization | 4-0-0-4 | FB203 |
| 3 | FB304 | IoT Technologies for Services | 3-0-0-3 | FB204 |
| 3 | FB305 | Service Operations and Management | 3-0-0-3 | FB202 |
| 4 | FB401 | Advanced AI Applications in Services | 4-0-0-4 | FB301 |
| 4 | FB402 | Digital Transformation Strategies | 3-0-0-3 | FB305 |
| 4 | FB403 | Service Innovation and Entrepreneurship | 3-0-0-3 | FB305 |
| 4 | FB404 | Research Methodology and Ethics | 2-0-0-2 | - |
| 4 | FB405 | Capstone Project I | 3-0-0-3 | FB301, FB303 |
| 5 | FB501 | Specialized Elective - AI in Service Delivery | 3-0-0-3 | FB401 |
| 5 | FB502 | Specialized Elective - Blockchain for Services | 3-0-0-3 | FB302 |
| 5 | FB503 | Specialized Elective - User Experience Design | 3-0-0-3 | FB402 |
| 5 | FB504 | Capstone Project II | 6-0-0-6 | FB405 |
| 6 | FB601 | Industry Internship | 6-0-0-6 | - |
| 6 | FB602 | Professional Development and Ethics | 2-0-0-2 | - |
| 6 | FB603 | Service Systems Integration | 3-0-0-3 | FB504 |
| 7 | FB701 | Advanced Service Analytics | 3-0-0-3 | FB303 |
| 7 | FB702 | Service Optimization Techniques | 3-0-0-3 | FB504 |
| 7 | FB703 | Service Innovation Lab | 3-0-0-3 | FB504 |
| 8 | FB801 | Final Year Thesis | 9-0-0-9 | - |
Detailed Description of Advanced Departmental Electives
The department offers several advanced elective courses that allow students to explore specialized areas within FB Service. These courses are designed to provide depth and practical relevance in emerging domains.
Advanced AI Applications in Services: This course delves into the latest advancements in artificial intelligence and their applications in service delivery systems. Students learn about neural networks, deep learning algorithms, reinforcement learning, and natural language processing techniques. The curriculum includes hands-on projects where students develop AI models for customer service chatbots, predictive maintenance systems, and personalized recommendation engines.
Cybersecurity in Service Delivery: This course focuses on protecting digital service infrastructures from cyber threats. Topics include network security protocols, encryption standards, incident response strategies, and compliance frameworks. Students engage in simulations and case studies involving real-world breaches to understand mitigation techniques and preventive measures.
Data Analytics and Visualization: The course covers statistical modeling, data mining, and visualization tools used in service analytics. Students learn to interpret large datasets using Python, R, and Tableau. Projects include analyzing customer behavior trends, forecasting demand patterns, and identifying service bottlenecks through data-driven insights.
IoT Technologies for Services: This elective explores how Internet of Things (IoT) technologies can be integrated into service environments to improve efficiency and user experience. Students study sensor networks, embedded systems, and real-time data processing methods. Practical sessions involve building IoT-based prototypes for smart services such as automated parking systems and intelligent monitoring platforms.
Service Operations and Management: This course examines the principles of managing service operations effectively. Topics include process mapping, lean methodologies, quality control, and performance measurement. Students apply these concepts to real-world case studies from various industries to develop operational improvement strategies.
Digital Transformation Strategies: This elective focuses on leading organizations through digital change initiatives. Students learn about innovation frameworks, change management, and strategic planning in service delivery contexts. The course includes guest lectures from industry experts and interactive workshops on implementing transformational projects within large-scale organizations.
Service Innovation and Entrepreneurship: Designed to foster entrepreneurial thinking, this course encourages students to identify opportunities for innovation in service ecosystems. Through project-based learning, students develop business plans for new service ventures, conduct market research, and present their ideas to potential investors and mentors.
User Experience Design for Services: This course emphasizes designing intuitive interfaces that enhance user satisfaction and engagement. Students learn about human-computer interaction, usability testing, and design thinking methodologies. Practical assignments involve creating wireframes, prototypes, and conducting user feedback sessions to refine service designs.
Blockchain and Decentralized Services: The course explores the potential of blockchain technology in service delivery systems. Students examine smart contracts, distributed ledgers, and decentralized applications. Projects include designing blockchain-based identity management solutions and exploring use cases for secure transaction processing in financial services.
Service Systems Integration: This advanced course teaches students how to integrate various components of service systems into cohesive platforms. Topics include system architecture, interoperability standards, API development, and integration testing. Students work on capstone projects that involve integrating multiple service technologies into a unified platform for real-world applications.
Project-Based Learning Philosophy
The department adheres to a project-based learning (PBL) philosophy that emphasizes experiential education and collaborative problem-solving. This approach integrates theoretical knowledge with practical application, ensuring that students develop both technical skills and professional competencies.
The structure of PBL in the FB Service program includes several phases: problem identification, research and planning, implementation, evaluation, and presentation. Students work in teams to tackle real-world challenges, often collaborating with industry partners or community organizations.
Mini-projects are assigned during the first two years to build foundational skills and foster team collaboration. These projects typically last 4-6 weeks and focus on specific aspects of service delivery systems. For example, students might design a simple customer service chatbot or analyze service quality metrics for a local business.
The final-year thesis/capstone project is a comprehensive endeavor that spans the entire semester. Students select a topic aligned with their interests and career goals, working closely with faculty mentors to develop a research proposal and execute a substantial project. The scope of these projects often mirrors industry challenges, providing students with valuable experience in professional environments.
Evaluation criteria for PBL activities include technical competence, innovation, teamwork, presentation skills, and the ability to apply theoretical concepts to practical scenarios. Regular feedback from mentors and peers ensures continuous improvement throughout the learning process.