Course Structure Overview
The Digital Humanities program at Chinmaya Vishwavidyapeeth is structured over 8 semesters, with a balanced mix of core courses, departmental electives, science electives, and laboratory sessions. The curriculum is designed to build foundational knowledge in both humanities and computing disciplines while encouraging interdisciplinary exploration.
| Semester | Course Code | Course Title | Credit Structure (L-T-P-C) | Prerequisites |
|---|---|---|---|---|
| I | DH101 | Introduction to Digital Humanities | 3-0-0-3 | - |
| I | CS101 | Programming Fundamentals | 3-0-0-3 | - |
| I | PH101 | Physics for Digital Humanities | 3-0-0-3 | - |
| I | MA101 | Calculus and Linear Algebra | 3-0-0-3 | - |
| I | HS101 | History of Computing | 2-0-0-2 | - |
| I | EN101 | English Communication Skills | 2-0-0-2 | - |
| I | DH102 | Digital Media Design | 2-0-0-2 | - |
| I | CS102 | Basic Data Structures and Algorithms | 3-0-0-3 | - |
| I | CS103 | Introduction to Database Systems | 3-0-0-3 | - |
| I | PH102 | Computational Physics | 3-0-0-3 | - |
| I | MA102 | Differential Equations | 3-0-0-3 | - |
| I | HS102 | Cultural Studies in the Digital Age | 2-0-0-2 | - |
| I | EN102 | Technical Writing and Presentation Skills | 2-0-0-2 | - |
| I | LAB101 | Programming Lab | 0-0-3-1 | - |
| I | LAB102 | Data Structures and Algorithms Lab | 0-0-3-1 | - |
| II | DH201 | Computational Text Analysis | 3-0-0-3 | DH101, CS101 |
| II | CS201 | Data Structures and Algorithms II | 3-0-0-3 | CS102 |
| II | PH201 | Modern Physics | 3-0-0-3 | PH101 |
| II | MA201 | Probability and Statistics | 3-0-0-3 | MA101 |
| II | HS201 | Philosophy of Technology | 2-0-0-2 | - |
| II | EN201 | Creative Writing for Digital Platforms | 2-0-0-2 | - |
| II | DH202 | Digital Preservation Techniques | 3-0-0-3 | - |
| II | CS202 | Object-Oriented Programming | 3-0-0-3 | CS101 |
| II | CS203 | Digital Image Processing | 3-0-0-3 | CS102 |
| II | PH202 | Quantum Computing Fundamentals | 3-0-0-3 | PH102 |
| II | MA202 | Linear Programming and Optimization | 3-0-0-3 | MA102 |
| II | HS202 | Introduction to Digital Ethnography | 2-0-0-2 | - |
| II | EN202 | Digital Storytelling Methods | 2-0-0-2 | - |
| II | LAB201 | Database Systems Lab | 0-0-3-1 | - |
| II | LAB202 | Digital Image Processing Lab | 0-0-3-1 | - |
| III | DH301 | Digital Archaeology and GIS | 3-0-0-3 | DH201, CS201 |
| III | CS301 | Machine Learning Fundamentals | 3-0-0-3 | CS201, MA201 |
| III | PH301 | Biophysics and Computational Biology | 3-0-0-3 | PH201 |
| III | MA301 | Numerical Methods | 3-0-0-3 | MA201 |
| III | HS301 | Gender and Digital Culture | 2-0-0-2 | - |
| III | EN301 | Content Strategy for Digital Media | 2-0-0-2 | - |
| III | DH302 | Cultural Informatics | 3-0-0-3 | DH202 |
| III | CS302 | Computer Networks | 3-0-0-3 | CS202 |
| III | CS303 | Data Mining and Analytics | 3-0-0-3 | CS201, MA201 |
| III | PH302 | Computational Neuroscience | 3-0-0-3 | PH202 |
| III | MA302 | Mathematical Modeling | 3-0-0-3 | MA202 |
| III | HS302 | History of Digital Technologies | 2-0-0-2 | - |
| III | EN302 | Digital Publishing and Distribution | 2-0-0-2 | - |
| III | LAB301 | Machine Learning Lab | 0-0-3-1 | - |
| III | LAB302 | Data Mining and Analytics Lab | 0-0-3-1 | - |
| IV | DH401 | Human-Centered AI | 3-0-0-3 | DH301, CS301 |
| IV | CS401 | Software Engineering | 3-0-0-3 | CS202 |
| IV | PH401 | Quantum Information Theory | 3-0-0-3 | PH301 |
| IV | MA401 | Advanced Calculus and Differential Equations | 3-0-0-3 | MA202 |
| IV | HS401 | Digital Ethics and Governance | 2-0-0-2 | - |
| IV | EN401 | Media Literacy and Critical Analysis | 2-0-0-2 | - |
| IV | DH402 | Advanced Text Mining and NLP | 3-0-0-3 | DH201, CS303 |
| IV | CS402 | Cloud Computing | 3-0-0-3 | CS302 |
| IV | CS403 | Artificial Intelligence Applications | 3-0-0-3 | CS301 |
| IV | PH402 | Computational Physics II | 3-0-0-3 | PH302 |
| IV | MA402 | Stochastic Processes | 3-0-0-3 | MA301 |
| IV | HS402 | Cultural Policy and Digital Rights | 2-0-0-2 | - |
| IV | EN402 | Digital Marketing and SEO | 2-0-0-2 | - |
| IV | LAB401 | Software Engineering Lab | 0-0-3-1 | - |
| IV | LAB402 | AI Applications Lab | 0-0-3-1 | - |
| V | DH501 | Digital Health and Wellbeing | 3-0-0-3 | DH401, CS401 |
| V | CS501 | Deep Learning | 3-0-0-3 | CS301, MA201 |
| V | PH501 | Advanced Quantum Mechanics | 3-0-0-3 | PH401 |
| V | MA501 | Topology and Geometry | 3-0-0-3 | MA401 |
| V | HS501 | Digital Activism and Social Movements | 2-0-0-2 | - |
| V | EN501 | Advanced Content Creation | 2-0-0-2 | - |
| V | DH502 | Cultural Heritage Preservation | 3-0-0-3 | DH302 |
| V | CS502 | Big Data Analytics | 3-0-0-3 | CS403, CS303 |
| V | CS503 | Natural Language Processing | 3-0-0-3 | CS303 |
| V | PH502 | Biomedical Informatics | 3-0-0-3 | PH402 |
| V | MA502 | Complex Analysis | 3-0-0-3 | MA402 |
| V | HS502 | Digital Identity and Privacy | 2-0-0-2 | - |
| V | EN502 | Ethical Considerations in Digital Media | 2-0-0-2 | - |
| V | LAB501 | Deep Learning Lab | 0-0-3-1 | - |
| V | LAB502 | NLP Lab | 0-0-3-1 | - |
| VI | DH601 | Digital Storytelling and Narrative Design | 3-0-0-3 | DH501, CS501 |
| VI | CS601 | Reinforcement Learning | 3-0-0-3 | CS501 |
| VI | PH601 | Quantum Cryptography | 3-0-0-3 | PH501 |
| VI | MA601 | Algebraic Topology | 3-0-0-3 | MA501 |
| VI | HS601 | Global Digital Cultures | 2-0-0-2 | - |
| VI | EN601 | Digital Education Platforms | 2-0-0-2 | - |
| VI | DH602 | Digital Ethics in Practice | 3-0-0-3 | DH401, CS501 |
| VI | CS602 | Computer Vision | 3-0-0-3 | CS503 |
| VI | CS603 | Computational Linguistics | 3-0-0-3 | CS503 |
| VI | PH602 | Quantum Algorithms | 3-0-0-3 | PH502 |
| VI | MA602 | Differential Geometry | 3-0-0-3 | MA502 |
| VI | HS602 | Social Media Analysis | 2-0-0-2 | - |
| VI | EN602 | Digital Publishing and Distribution | 2-0-0-2 | - |
| VI | LAB601 | Computer Vision Lab | 0-0-3-1 | - |
| VI | LAB602 | Computational Linguistics Lab | 0-0-3-1 | - |
| VII | DH701 | Advanced Digital Humanities Research | 3-0-0-3 | DH601, CS601 |
| VII | CS701 | Special Topics in AI | 3-0-0-3 | CS601 |
| VII | PH701 | Advanced Quantum Computing | 3-0-0-3 | PH601 |
| VII | MA701 | Functional Analysis | 3-0-0-3 | MA601 |
| VII | HS701 | Digital Humanities and Policy Making | 2-0-0-2 | - |
| VII | EN701 | Entrepreneurship in Digital Media | 2-0-0-2 | - |
| VII | DH702 | Cultural Preservation Through Technology | 3-0-0-3 | DH502, CS602 |
| VII | CS702 | Research Methodology in Digital Humanities | 3-0-0-3 | CS601, CS603 |
| VII | CS703 | Digital Humanities Thesis Project | 3-0-0-3 | DH701, CS701 |
| VII | PH702 | Quantum Field Theory | 3-0-0-3 | PH602 |
| VII | MA702 | Advanced Linear Algebra | 3-0-0-3 | MA602 |
| VII | HS702 | Digital Rights and Humanitarian Issues | 2-0-0-2 | - |
| VII | EN702 | Digital Marketing Strategy | 2-0-0-2 | - |
| VII | LAB701 | Thesis Research Lab | 0-0-3-1 | - |
| VIII | DH801 | Final Year Thesis Project | 4-0-0-4 | DH702, CS703 |
| VIII | CS801 | Capstone Project in Digital Humanities | 4-0-0-4 | CS702, DH701 |
| VIII | PH801 | Research Internship | 4-0-0-4 | - |
| VIII | MA801 | Independent Study | 3-0-0-3 | - |
| VIII | HS801 | Policy and Practice in Digital Humanities | 2-0-0-2 | - |
| VIII | EN801 | Final Portfolio Presentation | 2-0-0-2 | - |
| VIII | LAB801 | Final Project Lab | 0-0-3-1 | - |
Advanced Departmental Electives
The department offers a range of advanced electives designed to deepen students' expertise in specific areas. These courses are taught by leading faculty members and often incorporate cutting-edge research.
- Computational Text Analysis: This course focuses on applying machine learning algorithms to analyze literary works, historical documents, and digital texts. Students learn techniques for sentiment analysis, topic modeling, named entity recognition, and semantic similarity measurement. The course emphasizes practical implementation using Python libraries like NLTK, spaCy, and Transformers.
- Digital Preservation Techniques: Students explore the methods and tools used to preserve digital cultural artifacts such as photographs, audio recordings, videos, and digital documents. The course covers metadata standards, file format migration, digital archiving systems, and long-term preservation strategies.
- Cultural Informatics: This course delves into how computational methods can be applied to study cultural phenomena. It includes topics such as digital ethnography, social network analysis, cultural mapping, and the use of GIS in understanding cultural landscapes.
- Digital Archaeology and GIS: Students learn to apply geographic information systems (GIS) and remote sensing technologies to archaeological research. The course covers site mapping, spatial analysis, 3D modeling, drone surveying, and virtual reconstruction of historical sites.
- Human-Centered AI: This course examines the ethical implications of artificial intelligence from a human perspective. Topics include algorithmic fairness, bias mitigation, explainability in AI systems, and designing inclusive technologies that consider diverse user needs.
- Digital Storytelling and Narrative Design: Students develop skills in creating immersive narratives using interactive media, virtual reality, augmented reality, and multimedia platforms. The course explores storytelling frameworks, user experience design, and narrative structure in digital environments.
- Digital Ethics and Governance: This course analyzes the ethical and governance challenges posed by digital technologies. It covers data protection laws, digital rights, privacy concerns, regulatory frameworks, and the role of governments and international bodies in shaping digital policy.
- Digital Health and Wellbeing: Students investigate how digital tools can improve health outcomes through apps, wearables, telemedicine, and digital therapeutics. The course covers data ethics, user engagement, clinical validation, and regulatory compliance in healthcare technology.
- Global Digital Cultures: This course explores the global impact of digital media on cultural practices, identity formation, and social interactions. It examines how internet culture, social media platforms, gaming, and digital activism shape contemporary society.
- Digital Education and Pedagogy: Students explore the intersection of education and technology, focusing on online learning platforms, educational software, gamification, adaptive learning systems, and digital literacy in schools and universities.
Project-Based Learning Philosophy
Our department places a strong emphasis on project-based learning as a core component of the educational experience. This approach encourages students to apply theoretical knowledge to real-world problems, fostering critical thinking, creativity, and collaboration.
The structure of our project-based learning involves both individual and group components. In the first year, students work on mini-projects that introduce them to research methodologies and practical applications. These projects are typically supervised by faculty members and focus on solving small-scale challenges within the field of Digital Humanities.
As students progress through their academic journey, they are expected to participate in increasingly complex research initiatives. By the third year, students begin working on specialized capstone projects under the guidance of a faculty mentor. These projects often involve collaboration with external partners such as museums, archives, or technology companies.
The evaluation criteria for these projects are multifaceted, taking into account technical execution, creativity, impact, and presentation skills. Students must demonstrate their ability to articulate complex ideas clearly and persuasively, both in written reports and oral presentations.
Final-year theses represent the culmination of students' learning experiences. They require extensive research, original contributions to knowledge, and a polished final product that showcases their expertise. These theses are often presented at conferences or published in academic journals, providing students with recognition and networking opportunities.
The selection process for projects is collaborative. Students work closely with faculty advisors to identify research interests, define scope, and develop timelines. Faculty mentors provide ongoing support throughout the project lifecycle, ensuring that students receive guidance while maintaining autonomy in their work.