Comprehensive Course Structure
The Computer Applications program at The Assam Kaziranga University Jorhat follows a structured academic calendar spanning eight semesters over four years. Each semester includes core courses, departmental electives, science electives, and laboratory components designed to build both theoretical knowledge and practical skills.
| Semester | Course Code | Course Title | Credit Structure (L-T-P-C) | Pre-requisites |
|---|---|---|---|---|
| I | CS101 | Programming in C | 3-0-2-4 | - |
| I | CS102 | Mathematics for Computer Applications | 3-0-0-3 | - |
| I | CS103 | Introduction to Computer Science | 2-0-0-2 | - |
| I | CS104 | English for Technical Communication | 2-0-0-2 | - |
| I | CS105 | Computer Laboratory | 0-0-4-2 | - |
| I | SC101 | Physics for Engineers | 3-0-0-3 | - |
| I | SC102 | Chemistry for Engineers | 3-0-0-3 | - |
| II | CS201 | Data Structures and Algorithms | 3-0-2-4 | CS101 |
| II | CS202 | Digital Logic Design | 3-0-0-3 | - |
| II | CS203 | Object-Oriented Programming | 3-0-2-4 | CS101 |
| II | CS204 | Mathematics for Computer Applications II | 3-0-0-3 | CS102 |
| II | CS205 | Database Management Systems | 3-0-0-3 | - |
| II | SC201 | Biology for Engineers | 3-0-0-3 | - |
| III | CS301 | Operating Systems | 3-0-2-4 | CS203 |
| III | CS302 | Computer Networks | 3-0-2-4 | CS201 |
| III | CS303 | Software Engineering | 3-0-0-3 | - |
| III | CS304 | Web Technologies | 3-0-2-4 | CS203 |
| III | CS305 | Probability and Statistics | 3-0-0-3 | CS102 |
| IV | CS401 | Compiler Design | 3-0-2-4 | CS301 |
| IV | CS402 | Artificial Intelligence | 3-0-2-4 | CS201 |
| IV | CS403 | Cybersecurity Fundamentals | 3-0-2-4 | CS201 |
| IV | CS404 | Data Mining and Analytics | 3-0-2-4 | CS305 |
| IV | CS405 | Project Management | 3-0-0-3 | - |
| V | CS501 | Machine Learning | 3-0-2-4 | CS402 |
| V | CS502 | Advanced Database Systems | 3-0-2-4 | CS205 |
| V | CS503 | Cloud Computing | 3-0-2-4 | CS302 |
| V | CS504 | Mobile Application Development | 3-0-2-4 | CS304 |
| V | CS505 | Human-Computer Interaction | 3-0-0-3 | - |
| VI | CS601 | Internet of Things | 3-0-2-4 | CS302 |
| VI | CS602 | DevOps Practices | 3-0-2-4 | CS301 |
| VI | CS603 | Software Testing | 3-0-2-4 | CS303 |
| VI | CS604 | Digital Marketing | 3-0-0-3 | - |
| VI | CS605 | Entrepreneurship in Tech | 3-0-0-3 | - |
| VII | CS701 | Advanced Topics in AI | 3-0-2-4 | CS501 |
| VII | CS702 | Research Methodology | 3-0-0-3 | - |
| VII | CS703 | Capstone Project I | 0-0-6-4 | - |
| VIII | CS801 | Capstone Project II | 0-0-6-4 | - |
| VIII | CS802 | Internship | 0-0-0-10 | - |
Advanced Departmental Electives
These courses offer specialized knowledge in emerging areas of computer applications and are tailored to meet the evolving needs of industry professionals:
1. Machine Learning (CS501)
This course introduces students to fundamental concepts of machine learning, including supervised and unsupervised learning algorithms, neural networks, and deep learning frameworks. Students will implement real-world applications using tools like TensorFlow and PyTorch.
2. Advanced Database Systems (CS502)
This course delves into advanced topics in database design, optimization techniques, transaction management, and distributed databases. It explores NoSQL systems and cloud-based database solutions that are widely used in modern enterprises.
3. Cloud Computing (CS503)
Students learn about cloud architecture, service models (IaaS, PaaS, SaaS), virtualization technologies, containerization using Docker, and orchestration with Kubernetes. The course includes hands-on labs on AWS, Azure, and Google Cloud.
4. Mobile Application Development (CS504)
This elective focuses on building cross-platform mobile apps for iOS and Android using modern frameworks such as React Native and Flutter. Students develop real-world applications with features like authentication, API integration, and push notifications.
5. Human-Computer Interaction (CS505)
The course emphasizes the design of user-friendly interfaces and the psychology behind human interaction with technology. It covers usability testing, prototyping, accessibility standards, and inclusive design principles.
6. Internet of Things (CS601)
This course explores the integration of physical devices with digital networks for smart automation. Students work on projects involving sensors, microcontrollers, wireless communication protocols, and cloud platforms to create IoT applications.
7. DevOps Practices (CS602)
The course introduces continuous integration/continuous deployment (CI/CD) pipelines, version control systems, automation tools, and infrastructure as code. Students gain practical experience in deploying scalable applications using Jenkins, GitLab CI, and Ansible.
8. Software Testing (CS603)
This course teaches various software testing methodologies including unit testing, integration testing, system testing, and performance testing. It includes hands-on experience with tools like Selenium, JUnit, and Postman for automated testing.
9. Digital Marketing (CS604)
The course combines technical skills with marketing strategies to drive online business growth. Topics include SEO/SEM, social media analytics, email marketing automation, and data-driven advertising using platforms like Google Ads and Facebook Business Suite.
10. Entrepreneurship in Tech (CS605)
This elective empowers students with the skills needed to launch and manage technology startups. It covers business model innovation, pitch deck preparation, investor relations, legal aspects of tech entrepreneurship, and funding mechanisms.
Project-Based Learning Philosophy
The department strongly advocates for project-based learning as a core pedagogical approach. Projects are designed to integrate knowledge from multiple disciplines and foster innovation and problem-solving skills.
Mini-Projects
Mini-projects are assigned in the third and fourth semesters, allowing students to apply theoretical concepts in practical scenarios. These projects span 6-8 weeks and involve working in teams of 3-5 members under faculty supervision.
Final-Year Thesis/Capstone Project
The final-year capstone project is a comprehensive endeavor that requires students to solve a real-world problem using advanced technologies. Projects are selected based on student interests, faculty expertise, and industry relevance. The process involves literature review, research methodology, implementation, testing, documentation, and presentation.
Project Selection Process
Students can propose projects aligned with their interests or choose from a list of faculty-identified problems. The selection is done through a proposal submission process followed by a review panel that evaluates feasibility, innovation, and resource requirements.
Evaluation Criteria
Projects are evaluated based on technical execution, creativity, presentation quality, documentation, peer collaboration, and impact assessment. A final evaluation committee comprising faculty members and industry experts provides feedback and grades.