Comprehensive Course Structure

The Computer Applications program at The Assam Royal Global University Guwahati is structured over 8 semesters, with a carefully planned curriculum that balances theoretical knowledge with practical application. Each semester includes core subjects, departmental electives, science electives, and laboratory sessions to ensure holistic learning.

SEMESTER	COURSE CODE	COURSE TITLE	CREDIT STRUCTURE (L-T-P-C)	PREREQUISITES
I	CS101	Introduction to Programming with C	3-0-0-2	-
I	CS102	Mathematics for Computer Science I	4-0-0-2	-
I	CS103	Computer Fundamentals and Organization	3-0-0-2	-
I	CS104	English Communication Skills	2-0-0-1	-
I	CS105	Physics for Computer Science I	3-0-0-2	-
I	CS106	Chemistry for Computer Science I	3-0-0-2	-
I	CS107	Engineering Graphics and Design	2-0-0-1	-
I	CS108	Computer Laboratory I	0-0-3-1	-
II	CS201	Data Structures and Algorithms	4-0-0-2	CS101
II	CS202	Mathematics for Computer Science II	4-0-0-2	CS102
II	CS203	Digital Logic and Microprocessors	3-0-0-2	CS103
II	CS204	Object-Oriented Programming with C++	3-0-0-2	CS101
II	CS205	Physics for Computer Science II	3-0-0-2	CS105
II	CS206	Chemistry for Computer Science II	3-0-0-2	CS106
II	CS207	Introduction to Software Engineering	3-0-0-2	-
II	CS208	Computer Laboratory II	0-0-3-1	CS108
III	CS301	Database Management Systems	3-0-0-2	CS201
III	CS302	Operating Systems	3-0-0-2	CS203
III	CS303	Computer Networks	3-0-0-2	CS203
III	CS304	Web Technologies	3-0-0-2	CS204
III	CS305	Probability and Statistics for Computer Science	3-0-0-2	CS202
III	CS306	Mechanics and Thermodynamics for Engineering	3-0-0-2	CS205
III	CS307	Software Testing and Quality Assurance	3-0-0-2	CS207
III	CS308	Computer Laboratory III	0-0-3-1	CS208
IV	CS401	Artificial Intelligence and Machine Learning	3-0-0-2	CS301, CS305
IV	CS402	Cybersecurity Fundamentals	3-0-0-2	CS303
IV	CS403	Cloud Computing	3-0-0-2	CS301, CS302
IV	CS404	Mobile Application Development	3-0-0-2	CS204
IV	CS405	Data Mining and Data Warehousing	3-0-0-2	CS301, CS305
IV	CS406	Electromagnetic Fields and Waves	3-0-0-2	CS206
IV	CS407	Project Management and Entrepreneurship	2-0-0-1	-
IV	CS408	Computer Laboratory IV	0-0-3-1	CS308
V	CS501	Advanced Algorithms and Optimization	3-0-0-2	CS201
V	CS502	Human Computer Interaction	3-0-0-2	CS404
V	CS503	Internet of Things (IoT)	3-0-0-2	CS303, CS301
V	CS504	Big Data Analytics	3-0-0-2	CS305, CS405
V	CS505	Quantitative Finance and Risk Modeling	3-0-0-2	CS305
V	CS506	Advanced Networking Technologies	3-0-0-2	CS303
V	CS507	Research Methodology and Ethics	2-0-0-1	-
V	CS508	Computer Laboratory V	0-0-3-1	CS408
VI	CS601	Advanced Machine Learning	3-0-0-2	CS401
VI	CS602	Network Security and Cryptography	3-0-0-2	CS402
VI	CS603	DevOps and Continuous Integration	3-0-0-2	CS302, CS403
VI	CS604	Game Development	3-0-0-2	CS404
VI	CS605	Business Intelligence and Data Visualization	3-0-0-2	CS405, CS504
VI	CS606	Advanced Software Architecture	3-0-0-2	CS301, CS207
VI	CS607	Entrepreneurship and Innovation	2-0-0-1	CS407
VI	CS608	Computer Laboratory VI	0-0-3-1	CS508
VII	CS701	Capstone Project I	0-0-6-4	CS501, CS502
VII	CS702	Special Topics in Computer Applications	3-0-0-2	-
VII	CS703	Internship Program	0-0-0-4	-
VII	CS704	Research Internship	0-0-0-2	-
VIII	CS801	Capstone Project II	0-0-6-4	CS701, CS703
VIII	CS802	Advanced Research Seminar	2-0-0-1	CS507
VIII	CS803	Thesis Writing and Presentation	2-0-0-1	-
VIII	CS804	Professional Practice and Ethics	2-0-0-1	-

Advanced Departmental Elective Courses

The following advanced departmental elective courses are offered in the Computer Applications program, each designed to deepen students' understanding of specialized areas within the field:

• Advanced Artificial Intelligence: This course delves into deep learning architectures, reinforcement learning algorithms, and natural language processing techniques. Students will work on projects involving neural networks, computer vision, and language models using frameworks like TensorFlow and PyTorch.
• Cryptography and Network Security: This course explores the principles of secure communication systems, including symmetric and asymmetric encryption, digital signatures, and authentication protocols. Students will gain hands-on experience with security tools and learn how to protect networks against cyber threats.
• DevOps and Continuous Integration: Focused on automation and deployment practices, this course teaches students how to streamline software development cycles using tools like Jenkins, Docker, Kubernetes, and GitLab CI/CD pipelines. It emphasizes collaboration between developers and operations teams.
• Mobile Application Development: This course covers the design and development of mobile apps for both iOS and Android platforms. Students will learn about UI/UX design principles, backend integration, API usage, and app store submission processes using technologies like Flutter and React Native.
• Big Data Analytics: Designed to handle massive datasets efficiently, this course introduces students to Hadoop, Spark, NoSQL databases, and data visualization tools. Students will develop skills in extracting insights from big data using statistical methods and machine learning algorithms.
• Quantitative Finance and Risk Modeling: Combines programming with financial theory to analyze market behavior and assess risks. Students will learn about derivatives pricing, portfolio optimization, and algorithmic trading strategies using Python and financial libraries like NumPy and Pandas.
• Human-Computer Interaction (HCI): Emphasizes the design of user-friendly interfaces and experiences. Students will study cognitive psychology, usability testing methods, interaction design patterns, and accessibility standards to create inclusive digital products.
• Internet of Things (IoT) Applications: Explores how sensors, actuators, and embedded systems can be integrated to build smart environments. Students will work on IoT projects involving microcontrollers, cloud platforms, and real-time data processing using technologies like Arduino, Raspberry Pi, and AWS IoT Core.
• Game Development: This course focuses on creating interactive entertainment software, covering game engines, 3D graphics programming, level design, and user experience in games. Students will develop skills in Unity or Unreal Engine and learn about game architecture and optimization techniques.
• Advanced Software Architecture: Teaches students how to design scalable, maintainable, and secure software systems using architectural patterns and principles. Topics include microservices, service-oriented architecture, cloud-native applications, and API design.

Project-Based Learning Philosophy

The Computer Applications program at The Assam Royal Global University Guwahati places a strong emphasis on project-based learning as a means of fostering critical thinking, problem-solving, and teamwork skills among students. The approach is designed to bridge the gap between theoretical knowledge and practical application.

Students begin their project journey in the third year with mini-projects that are typically completed within a semester. These projects are assigned by faculty members or chosen by students based on their interests and career aspirations. Mini-projects serve as an introduction to research methodologies, data collection techniques, and report writing skills.

As students progress into their fourth year, they engage in capstone projects that are more substantial and often involve collaboration with industry partners. These projects typically last a full academic year and require students to integrate knowledge from multiple disciplines to solve real-world problems. The final project culminates in a comprehensive thesis presentation and evaluation by a panel of experts from academia and industry.

Throughout the project lifecycle, students are paired with faculty mentors who provide guidance on technical aspects, research methodologies, and professional development. Mentorship sessions occur weekly or bi-weekly to ensure that projects stay on track and meet academic standards.

The evaluation criteria for both mini-projects and capstone projects include:

• Technical Proficiency: Demonstrated understanding of relevant concepts and technologies.
• Problem-Solving Ability: Capacity to identify challenges and propose effective solutions.
• Innovation and Creativity: Originality in approach or solution development.
• Documentation and Presentation: Quality of written reports and oral presentations.
• Team Collaboration: Effectiveness in working within a team environment.
• Impact Assessment: Evaluation of how the project addresses real-world issues or contributes to industry advancement.