Course Structure Overview
| Semester | Course Code | Course Title | Credits (L-T-P-C) | Prerequisites |
|---|---|---|---|---|
| 1 | EDU101 | Introduction to Education | 3-0-0-3 | - |
| 1 | MAT101 | Calculus I | 4-0-0-4 | - |
| 1 | PHY101 | Physics Fundamentals | 3-0-0-3 | - |
| 2 | EDU102 | Educational Psychology | 3-0-0-3 | EDU101 |
| 2 | CSE101 | Computer Science Basics | 4-0-0-4 | - |
| 2 | MAT102 | Linear Algebra | 3-0-0-3 | MAT101 |
| 3 | EDU201 | Curriculum Planning | 3-0-0-3 | EDU102 |
| 3 | CSE201 | Data Structures and Algorithms | 4-0-0-4 | CSE101 |
| 3 | MAT201 | Statistics and Probability | 3-0-0-3 | MAT102 |
| 4 | EDU202 | Digital Pedagogy | 3-0-0-3 | EDU201 |
| 4 | CSE202 | Database Management Systems | 4-0-0-4 | CSE201 |
| 4 | MAT202 | Differential Equations | 3-0-0-3 | MAT201 |
| 5 | EDU301 | Learning Analytics | 3-0-0-3 | EDU202 |
| 5 | CSE301 | Machine Learning Fundamentals | 4-0-0-4 | CSE202 |
| 5 | MAT301 | Mathematical Modeling | 3-0-0-3 | MAT202 |
| 6 | EDU302 | Educational Policy | 3-0-0-3 | EDU301 |
| 6 | CSE302 | Web Technologies | 4-0-0-4 | CSE301 |
| 6 | MAT302 | Numerical Methods | 3-0-0-3 | MAT301 |
| 7 | EDU401 | Capstone Project I | 3-0-0-3 | EDU302 |
| 7 | CSE401 | Artificial Intelligence | 4-0-0-4 | CSE302 |
| 7 | MAT401 | Advanced Calculus | 3-0-0-3 | MAT302 |
| 8 | EDU402 | Capstone Project II | 3-0-0-3 | EDU401 |
| 8 | CSE402 | Software Engineering | 4-0-0-4 | CSE401 |
| 8 | MAT402 | Operations Research | 3-0-0-3 | MAT401 |
Advanced Departmental Electives
These advanced courses are designed to provide students with deeper insights into specialized areas of education. They are offered in the later semesters and often involve collaborative projects with industry partners.
- Learning Analytics: This course focuses on analyzing large datasets generated by educational platforms to improve learning outcomes. Students will learn how to use statistical tools, data visualization techniques, and machine learning algorithms to extract meaningful insights from educational data.
- Educational Technology: This elective explores the development and implementation of digital tools in education. Students will gain hands-on experience with platforms like Moodle, Canvas, and Google Classroom, as well as learn how to design and evaluate educational software.
- Digital Pedagogy: Students will examine how digital media can be integrated into traditional teaching methods. The course covers multimedia instruction, virtual reality in classrooms, and the impact of social media on learning environments.
- Curriculum Design for Inclusion: This course teaches students how to design inclusive curricula that cater to diverse learners, including those with disabilities or from underrepresented communities. It includes practical exercises in designing accessible content and implementing universal design principles.
- Educational Research Methods: Students will learn various research methodologies used in education, including qualitative and quantitative approaches. The course emphasizes ethical considerations, data collection techniques, and statistical analysis.
Project-Based Learning Philosophy
The B.Tech Education program at Abhyuday University Khargone strongly emphasizes project-based learning as a core component of student development. This approach encourages students to apply theoretical knowledge to real-world problems, fostering innovation and critical thinking skills.
Mini-projects are assigned in the third and fourth semesters, allowing students to explore specific aspects of their specialization under faculty supervision. These projects typically span 8–10 weeks and require students to work in teams to develop solutions or conduct research related to education.
The final-year thesis/capstone project is a comprehensive endeavor that spans the entire eighth semester. Students select a topic aligned with their interests and career goals, working closely with a faculty mentor throughout the process. The project must result in a publishable report, presentation, or prototype that demonstrates mastery of both technical and pedagogical concepts.
Evaluation criteria for projects include innovation, feasibility, impact, teamwork, and presentation skills. Students are assessed through peer reviews, faculty evaluations, and public presentations at the end of each semester. This structure ensures that students not only learn but also demonstrate their ability to contribute meaningfully to the field of education.