Syllabus for Undergraduate NEP 20 Course
The Modular Syllabus Management system breaks down the Computer Science & Applications curriculum into discrete, independent learning units (modules). This framework is designed to provide maximum flexibility, distinct learning pathways, and clear milestone tracking for both students and faculty.
📌 Key Framework Objectives
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Our Core Focus: Equipping students with robust problem-solving skills, algorithmic thinking, and adaptive expertise in emerging technologies.
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Dynamic Learning: Our syllabi are continuously updated in collaboration with academic councils and industry experts to reflect the global tech landscape.
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Adaptive Learning: Pathways can be customized based on specialization (e.g., Data Science, Software Engineering, AI).
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Clear Pre-requisites: Each module explicitly states its foundational requirements to ensure student success.
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Continuous Assessment: Evaluation is mapped directly to individual modules rather than a single end-of-term exam.
Semester wise Course Outcome
Semester wise Lesson Plan
| Sem | Course Type | Paper Title | Paper Code | Paper Type | File |
|---|---|---|---|---|---|
| I | Major | Computer Fundamentals & Digital Logic | COMP 1011 |
Theory & Practical | |
| Skill Enhancement Course (SEC) | Python Programming | COMP 1051 |
Practical |
Class Routine
