Course Structure Overview
The Computer Science program at North East Adventist University West Jaintia Hills follows a structured 8-semester curriculum designed to provide students with comprehensive knowledge and practical skills required in today's dynamic technological landscape. The program balances theoretical concepts with hands-on experience, ensuring that graduates are well-prepared for both professional careers and further academic pursuits.
| Semester | Course Code | Course Title | Credit Structure (L-T-P-C) | Prerequisites |
|---|---|---|---|---|
| 1 | CS101 | Introduction to Computing | 3-0-0-3 | - |
| 1 | CS102 | Mathematics for Computer Science | 3-0-0-3 | - |
| 1 | CS103 | Physics for Engineers | 3-0-0-3 | - |
| 1 | CS104 | Programming Fundamentals | 2-0-2-3 | - |
| 1 | CS105 | English for Communication | 2-0-0-2 | - |
| 1 | CS106 | Computer Lab | 0-0-3-1 | - |
| 2 | CS201 | Data Structures and Algorithms | 3-0-0-3 | CS104 |
| 2 | CS202 | Database Management Systems | 3-0-0-3 | CS104 |
| 2 | CS203 | Computer Organization | 3-0-0-3 | CS103 |
| 2 | CS204 | Object-Oriented Programming | 2-0-2-3 | CS104 |
| 2 | CS205 | Discrete Mathematics | 3-0-0-3 | CS102 |
| 2 | CS206 | Lab Sessions | 0-0-3-1 | - |
| 3 | CS301 | Operating Systems | 3-0-0-3 | CS201, CS203 |
| 3 | CS302 | Computer Networks | 3-0-0-3 | CS201, CS203 |
| 3 | CS303 | Software Engineering | 3-0-0-3 | CS204 |
| 3 | CS304 | Web Technologies | 2-0-2-3 | CS204 |
| 3 | CS305 | Probability and Statistics | 3-0-0-3 | CS102 |
| 3 | CS306 | Lab Sessions | 0-0-3-1 | - |
| 4 | CS401 | Artificial Intelligence | 3-0-0-3 | CS201, CS305 |
| 4 | CS402 | Cybersecurity Fundamentals | 3-0-0-3 | CS302 |
| 4 | CS403 | Mobile Computing | 3-0-0-3 | CS204 |
| 4 | CS404 | Data Mining and Analytics | 3-0-0-3 | CS305 |
| 4 | CS405 | Human-Computer Interaction | 3-0-0-3 | CS204 |
| 4 | CS406 | Lab Sessions | 0-0-3-1 | - |
| 5 | CS501 | Cloud Computing | 3-0-0-3 | CS302, CS301 |
| 5 | CS502 | Machine Learning | 3-0-0-3 | CS305, CS401 |
| 5 | CS503 | Internet of Things | 3-0-0-3 | CS201 |
| 5 | CS504 | Advanced Software Engineering | 3-0-0-3 | CS303 |
| 5 | CS505 | Research Methodology | 2-0-0-2 | - |
| 5 | CS506 | Lab Sessions | 0-0-3-1 | - |
| 6 | CS601 | Capstone Project I | 2-0-4-4 | CS505 |
| 6 | CS602 | Elective - AI/ML Specialization | 3-0-0-3 | CS401, CS502 |
| 6 | CS603 | Elective - Cybersecurity Track | 3-0-0-3 | CS402 |
| 6 | CS604 | Elective - Software Engineering | 3-0-0-3 | CS303 |
| 6 | CS605 | Elective - Mobile Development | 3-0-0-3 | CS403 |
| 6 | CS606 | Lab Sessions | 0-0-3-1 | - |
| 7 | CS701 | Capstone Project II | 2-0-4-4 | CS601 |
| 7 | CS702 | Advanced Topics in CS | 3-0-0-3 | - |
| 7 | CS703 | Internship | 0-0-6-6 | - |
| 7 | CS704 | Elective - Cloud Computing | 3-0-0-3 | CS501 |
| 7 | CS705 | Elective - Data Science | 3-0-0-3 | CS404 |
| 7 | CS706 | Lab Sessions | 0-0-3-1 | - |
| 8 | CS801 | Final Year Thesis | 2-0-6-6 | CS701 |
| 8 | CS802 | Elective - IoT Applications | 3-0-0-3 | CS503 |
| 8 | CS803 | Elective - Human-Computer Interaction | 3-0-0-3 | CS405 |
| 8 | CS804 | Professional Ethics & Leadership | 2-0-0-2 | - |
| 8 | CS805 | Project Presentation & Evaluation | 0-0-6-3 | CS801 |
| 8 | CS806 | Lab Sessions | 0-0-3-1 | - |
Advanced Departmental Elective Courses
The department offers several advanced elective courses designed to deepen students' understanding of specialized areas within computer science. These courses are taught by faculty members who are leaders in their respective fields and have extensive industry experience.
Artificial Intelligence & Machine Learning
This course provides a comprehensive overview of artificial intelligence techniques including neural networks, deep learning, natural language processing, and reinforcement learning. Students learn to implement AI algorithms using Python frameworks like TensorFlow and PyTorch. The course emphasizes both theoretical foundations and practical applications in real-world scenarios.
Cybersecurity
Designed for students interested in protecting digital assets, this course covers encryption techniques, network security protocols, ethical hacking, and incident response strategies. Students gain hands-on experience with security tools and learn to identify vulnerabilities in software systems.
Mobile Computing
This elective focuses on developing applications for mobile platforms including Android and iOS. Students learn about mobile app architecture, user interface design, and backend integration. The course includes building real-world apps using modern development tools and frameworks.
Data Mining and Analytics
This course explores techniques for extracting meaningful patterns from large datasets. Students learn to apply statistical methods, clustering algorithms, and predictive modeling to solve business problems. The curriculum includes working with popular data science platforms like R and Python libraries.
Human-Computer Interaction
Focusing on designing user-friendly interfaces, this course covers usability testing, accessibility design principles, and interaction design patterns. Students work on projects involving prototyping, user research, and iterative design processes to create intuitive digital products.
Cloud Computing
This elective introduces students to cloud infrastructure models, virtualization technologies, and service-oriented architecture. Students gain experience with major cloud platforms such as AWS, Azure, and Google Cloud Platform through hands-on labs and project assignments.
Internet of Things (IoT)
Designed for students interested in embedded systems and sensor networks, this course covers IoT architectures, communication protocols, and real-time data processing. Students work on projects involving smart city applications, industrial automation, and wearable computing devices.
Software Architecture
This advanced course focuses on designing scalable and maintainable software systems. Students learn about architectural patterns, design principles, and enterprise-level system integration techniques. The course includes case studies from large-scale software development projects.
Database Systems
Building upon foundational database knowledge, this course covers advanced topics such as transaction management, query optimization, distributed databases, and NoSQL systems. Students learn to design and implement robust database solutions for enterprise applications.
Network Security
This elective explores modern network security challenges and countermeasures including firewalls, intrusion detection systems, and secure communication protocols. Students gain practical experience with security tools and learn to conduct vulnerability assessments.
Project-Based Learning Philosophy
Our department strongly believes in project-based learning as a core component of the educational experience. Projects are designed to simulate real-world challenges and encourage students to apply their knowledge creatively and collaboratively. The approach promotes critical thinking, problem-solving skills, and technical proficiency.
Mini-Projects
Mini-projects begin in the second year and continue throughout the program. These projects typically last 2-4 weeks and involve small teams of 3-5 students working on specific problems under faculty supervision. Topics are selected from current industry challenges or emerging technologies.
Final-Year Thesis/Capstone Project
The capstone project in the seventh and eighth semesters represents the culmination of a student's academic journey. Students work individually or in teams to develop innovative solutions to complex problems. The project must demonstrate advanced technical skills, research capabilities, and professional presentation standards.
Project Selection Process
Students select projects based on their interests, career goals, and faculty mentor availability. The selection process involves submitting proposals, attending project briefings, and working closely with assigned mentors to refine project scope and objectives.