Course Structure Overview
The curriculum for the B.Tech Education program at Indira Gandhi Technological And Medical Science University Lower Subansiri is meticulously structured across eight semesters, ensuring a progressive build-up of knowledge and skills. Each semester includes core courses, departmental electives, science electives, and laboratory sessions designed to foster both theoretical understanding and practical application.
Semester-wise Course Listing
SEMESTER | COURSE CODE | COURSE TITLE | CREDIT STRUCTURE (L-T-P-C) | PREREQUISITES |
---|---|---|---|---|
1 | ENG101 | English for Academic Purposes | 3-0-0-3 | - |
1 | MAT101 | Calculus I | 4-0-0-4 | - |
1 | PHY101 | Physics for Engineers | 3-0-0-3 | - |
1 | CHE101 | Chemistry for Engineers | 3-0-0-3 | - |
1 | CS101 | Introduction to Programming | 3-0-0-3 | - |
1 | EDU101 | Introduction to Education | 2-0-0-2 | - |
1 | EDU102 | Psychology of Learning | 2-0-0-2 | - |
1 | LAB101 | Programming Lab | 0-0-3-1 | - |
2 | MAT201 | Calculus II | 4-0-0-4 | MAT101 |
2 | PHY201 | Electricity and Magnetism | 3-0-0-3 | PHY101 |
2 | CHE201 | Organic Chemistry | 3-0-0-3 | CHE101 |
2 | CS201 | Data Structures and Algorithms | 3-0-0-3 | CS101 |
2 | EDU201 | Educational Psychology | 2-0-0-2 | EDU102 |
2 | EDU202 | Teaching Methods and Practices | 2-0-0-2 | EDU101 |
2 | LAB201 | Data Structures Lab | 0-0-3-1 | CS201 |
3 | MAT301 | Linear Algebra | 4-0-0-4 | MAT201 |
3 | PHY301 | Optics and Waves | 3-0-0-3 | PHY201 |
3 | CHE301 | Physical Chemistry | 3-0-0-3 | CHE201 |
3 | CS301 | Database Management Systems | 3-0-0-3 | CS201 |
3 | EDU301 | Curriculum Design and Evaluation | 2-0-0-2 | EDU202 |
3 | EDU302 | Learning Theories and Models | 2-0-0-2 | EDU201 |
3 | LAB301 | Database Lab | 0-0-3-1 | CS301 |
4 | MAT401 | Differential Equations | 4-0-0-4 | MAT301 |
4 | PHY401 | Nuclear Physics | 3-0-0-3 | PHY301 |
4 | CHE401 | Biochemistry | 3-0-0-3 | CHE301 |
4 | CS401 | Web Technologies | 3-0-0-3 | CS301 |
4 | EDU401 | Technology Integration in Education | 2-0-0-2 | EDU302 |
4 | EDU402 | Educational Research Methods | 2-0-0-2 | EDU301 |
4 | LAB401 | Web Technologies Lab | 0-0-3-1 | CS401 |
5 | MAT501 | Probability and Statistics | 4-0-0-4 | MAT401 |
5 | PHY501 | Quantum Mechanics | 3-0-0-3 | PHY401 |
5 | CHE501 | Chemical Kinetics | 3-0-0-3 | CHE401 |
5 | CS501 | Software Engineering | 3-0-0-3 | CS401 |
5 | EDU501 | Assessment and Evaluation Techniques | 2-0-0-2 | EDU402 |
5 | EDU502 | Educational Technology Tools | 2-0-0-2 | EDU401 |
5 | LAB501 | Software Engineering Lab | 0-0-3-1 | CS501 |
6 | MAT601 | Numerical Methods | 4-0-0-4 | MAT501 |
6 | PHY601 | Thermodynamics | 3-0-0-3 | PHY501 |
6 | CHE601 | Environmental Chemistry | 3-0-0-3 | CHE501 |
6 | CS601 | Artificial Intelligence | 3-0-0-3 | CS501 |
6 | EDU601 | Digital Learning Platforms | 2-0-0-2 | EDU502 |
6 | EDU602 | Leadership in Education | 2-0-0-2 | EDU501 |
6 | LAB601 | AI Lab | 0-0-3-1 | CS601 |
7 | MAT701 | Advanced Mathematics | 4-0-0-4 | MAT601 |
7 | PHY701 | Relativity and Cosmology | 3-0-0-3 | PHY601 |
7 | CHE701 | Industrial Chemistry | 3-0-0-3 | CHE601 |
7 | CS701 | Machine Learning | 3-0-0-3 | CS601 |
7 | EDU701 | Educational Data Analytics | 2-0-0-2 | EDU602 |
7 | EDU702 | Inclusive Education Practices | 2-0-0-2 | EDU601 |
7 | LAB701 | Machine Learning Lab | 0-0-3-1 | CS701 |
8 | MAT801 | Advanced Statistics | 4-0-0-4 | MAT701 |
8 | PHY801 | Quantum Computing | 3-0-0-3 | PHY701 |
8 | CHE801 | Nanotechnology | 3-0-0-3 | CHE701 |
8 | CS801 | Big Data Analytics | 3-0-0-3 | CS701 |
8 | EDU801 | Capstone Project | 2-0-0-2 | EDU702 |
8 | EDU802 | Research Thesis | 2-0-0-2 | EDU701 |
8 | LAB801 | Big Data Lab | 0-0-3-1 | CS801 |
Advanced Departmental Elective Courses
Departmental electives offer students the opportunity to specialize in specific areas of interest within the field of education. These courses are designed to deepen understanding and encourage critical thinking through advanced topics.
Course 1: Educational Data Analytics
This course introduces students to the principles and techniques of data analytics in educational contexts. Students learn how to collect, process, and analyze large datasets to derive meaningful insights about learning behaviors, teaching effectiveness, and institutional performance.
Learning Objectives:
- Understand the role of data in improving educational outcomes
- Apply statistical methods and machine learning algorithms to real-world educational problems
- Design dashboards and visualizations for monitoring progress
- Evaluate existing data systems and propose improvements
Course 2: Instructional Technology
This course explores the integration of modern technology into teaching and learning environments. Students examine tools such as virtual reality, augmented reality, artificial intelligence, and mobile apps to create engaging and effective educational experiences.
Learning Objectives:
- Demonstrate proficiency in using digital tools for instructional design
- Design immersive learning environments using emerging technologies
- Evaluate the impact of technology on student engagement and performance
- Create prototypes of innovative educational applications
Course 3: Curriculum Design and Evaluation
This course equips students with the skills needed to design, implement, and evaluate curricula that align with national and global standards. It covers curriculum development models, assessment strategies, and stakeholder engagement techniques.
Learning Objectives:
- Develop a comprehensive understanding of curriculum frameworks
- Apply principles of curriculum design to real-world scenarios
- Conduct program evaluations using qualitative and quantitative methods
- Collaborate with diverse stakeholders in curriculum development processes
Course 4: Educational Psychology
This course delves into the psychological aspects of learning and teaching. It covers cognitive development theories, motivation, classroom management, and special education needs.
Learning Objectives:
- Understand key theories of cognitive and emotional development
- Apply psychological principles to instructional design
- Analyze behavioral patterns in educational settings
- Evaluate interventions aimed at enhancing student learning outcomes
Course 5: Digital Learning Platforms
This course focuses on building and managing digital learning platforms that support scalable, personalized, and interactive learning experiences. Students learn about platform architecture, user experience design, content management systems, and cloud computing for education.
Learning Objectives:
- Design and develop digital learning environments
- Implement content management systems tailored to educational needs
- Ensure accessibility and usability across diverse learners
- Integrate multimedia and interactive elements into online courses
Course 6: Educational Leadership
This course prepares students for leadership roles in educational institutions. It covers leadership theories, administrative practices, strategic planning, and resource management within educational settings.
Learning Objectives:
- Understand different leadership styles and their applications in education
- Develop skills in organizational management and change leadership
- Plan and execute strategic initiatives to improve institutional performance
- Manage resources effectively while maintaining ethical standards
Course 7: Special Education & Inclusive Learning
This course prepares students to support learners with special needs through inclusive practices, assistive technologies, and individualized education plans. It includes hands-on training in working with children with autism, dyslexia, ADHD, and other learning differences.
Learning Objectives:
- Recognize and address diverse learning needs within educational environments
- Design inclusive curricula that accommodate various learning styles
- Utilize assistive technologies to enhance accessibility
- Evaluate the effectiveness of inclusive practices in promoting equity
Course 8: Early Childhood Education
This course explores the unique needs of young learners and develops competencies in early childhood development, play-based learning, and child-centered pedagogy. It includes internships in pre-primary schools and childcare centers.
Learning Objectives:
- Understand developmental milestones and learning theories for young children
- Create engaging and safe learning environments for early learners
- Implement play-based and experiential learning approaches
- Evaluate and adapt curricula to meet the needs of diverse early childhood populations
Course 9: Language & Literacy Education
This course focuses on teaching methodologies for literacy development, multilingual education, and language acquisition theories. It includes practical components such as classroom observation, lesson planning, and community outreach programs.
Learning Objectives:
- Apply language acquisition theories to curriculum design
- Develop effective strategies for promoting literacy among diverse learners
- Design multilingual educational materials and activities
- Support emergent bilinguals through culturally responsive practices
Course 10: Educational Policy & Reform
This course examines the role of policy in shaping educational systems. Students analyze historical and contemporary policies, evaluate their impact on access, equity, and quality, and propose solutions for systemic improvement.
Learning Objectives:
- Identify key factors influencing educational policy formulation
- Analyze the relationship between policy and practice in education
- Evaluate the effectiveness of current policies using empirical evidence
- Advocate for reforms that promote equitable access to quality education
Project-Based Learning Philosophy
The department strongly believes in project-based learning as a means to foster critical thinking, collaboration, and real-world problem-solving skills. This approach encourages students to apply their knowledge in meaningful contexts and develop solutions to authentic challenges.
Mini-Projects (Years 1–3)
Throughout the first three years, students engage in mini-projects that allow them to explore specific areas of interest while building foundational skills:
- First Year: Introduction to educational tools and platforms using simple design challenges.
- Second Year: Development of interactive learning modules or multimedia presentations for specific age groups.
- Third Year: Collaborative projects involving data analysis, curriculum mapping, or policy brief development.
Final-Year Capstone Project
The final-year capstone project is a comprehensive endeavor that integrates all aspects of the program. Students work in teams to tackle a significant educational challenge using advanced technologies and methodologies:
- Problem Identification: Students identify real-world problems in education through stakeholder engagement and research.
- Design Phase: Teams develop conceptual frameworks, prototypes, or models addressing the identified problem.
- Implementation: Projects are implemented in real or simulated educational settings with feedback loops.
- Presentation & Evaluation: Final presentations are made to faculty members, industry experts, and community stakeholders.
Mentorship Process
Each student is assigned a faculty mentor based on their interests and career aspirations. Mentors provide guidance throughout the project lifecycle:
- Initial Consultation: Discussing project ideas, feasibility, and alignment with program objectives.
- Ongoing Support: Regular meetings to review progress, address challenges, and refine strategies.
- Feedback & Revision: Constructive feedback on drafts, prototypes, and presentations to ensure quality outcomes.