Overview of the course and a brief history; Types and structures of information resources; Types and structures of vocabularies; Information Interaction in Search engines, Digital libraries; Search techniques and effectiveness; Advanced searching; Web search and the invisible web; Information seeking behaviour; User modelling; Mediation between search intermediaries and users; Evaluation of search sources and results; Result Presentation to users; Keeping up: sources for life-time learning
 

Introduction to the course; foundational web technology and languages: mark-up languages; development frameworks; open source APIs for developing web services; comparison between service oriented architectures and web services; different aspects of web services and associated standards and specifications such as web services description languages; publishing; identification and discovery; services composition and orchestration; service bus; communication protocols and execution environments; web services management: performance, reliability and security

Technologies & Documentary Practices; Authors, Publishers and the Public; Structure of the Text (Typography, Punctuation, Paratext, Hypertext); Transformation: From Codex to Electronic Publishing; The Order of Texts (Digital Libraries, Web spheres, Blogospheres); Contexts of Distribution: Circulation of Value, Use, Appropriation; Networks, Communities; Regulatory Frameworks: Metacultures, Institutionalization, Standardization

Information seeking within the context of work, education, and daily living; Analysis of traditional and digital information services; Theoretical perspectives underlying information services; Emerging theories of Information services: sense making, constructing, and adding value to information; Strategies for usable services; Designing usable information resources and services; Development process for Usable information services; front-end and back-end processes for designing a usable service; information flow and process models; users' models; personas; perspective of multiple devices; role of situation and location contexts

Essentials of web development; JavaScript: basic concepts, synchronous and asynchronous programming, event loop, callback hells and promises; Server Side Scripting: Introduction, Backend architecture, REPL (Read-Eval-Print-Loop), server-side modules, synchronous and asynchronous CRUD (Create, Read, Update, Delete) operations; Data Handling; API Development: RESTful APIs, GraphQL, API testing; Middleware; Template engines; Databases: connecting backend with databases; Front-end Frameworks; Styling in frontend frameworks; State management; Frontend API access; Frontend state management

Web history; Research methodology; Research practice in the Web; Conceptual framework for Web Models; Web in society; Information Society: Sociability; identity; trends; Collaboration; Communication: blogging, microblogging; Collective intelligence; Social structures & processes, Groups, identity, globalization, Social capital, power inequality, Virtual communities & politics;  Privacy & trust in the Web; Web & the Law; Web & Linguistics; Web & Life Sciences, Web and Psychology; Web Governance.

Introduction to the Course; Social implications of information technology; Perspectives about Users and Technology: Determinism, SCOT, and ANT; Current Socio-technical problems of information: Notification, Norms, and Social Implications of the Internet; Knowledge Transfer and Information Sharing; Social Network Analysis and Information Technology - Theory and Examples; The Diffusion Process; Identity and Reputation; Building and Maintaining Trust in Information Systems

Economy after the Web: knowledge and networks;Games & the Web. Web business models. Web business cases. Project management.. Project management in the web. Case studies. Microeconomic issues in the Knowledge Society: Commons, Social welfare. Macroeconomic issues in the Knowledge Society: developing world (W3F), local development. Economics of Security. Policy and Economics of the Web.

Empirical research: basic concepts; World views: Methodologies vs. methods; Research goals and nature of scientific inquiry; Research questions: Connection between data and questions; Quantitative research design; Quantitative data analysis; Research writings; Research Ethics & Human Subject Compliances; Qualitative research design; Quantitative and qualitative design: Comparison and mixed design; Qualitative data analysis

Information Services and Systems: An Overview; Delivering Satisfaction and Service Quality: Understanding customer-service, service-quality, and customer-satisfaction; Methodological issues in evaluation/performance studies; Sampling; Designing experimental studies, survey research; Value issues: external validity, outputs, inputs, impacts, etc. Framework for improving Service Quality & Customer Satisfaction over time; Qualitative measures (Case studies, Observation studies, Interviewing, Focus group interviews, etc.) used in evaluation; Satisfaction: measurement and evaluation.

Introduction to the Course; Overview of trends driving the development of Government/Non-Profit web Site and Analysis; Citizen Centric Web Design; Overview of Key of e-government Practices and applications: Citizen to Government, Business to Government, Government to Government;  Policy Issues in e-government: Public Access & Government Transparency, Privacy and Security  Issues; IT Management for Governments and Non-profits.

Multimedia: Image acquisition and manipulation; Still Imaging; 3D & Animation: Moving image creation and manipulation; Video: acquisition and manipulation; Audio: acquisition and manipulation; Multimedia Platforms: Unix/SG, PC, Mac, Linux; Convergence, Internet & Interactive Media; Technical Issues and future trends

Structure of IR Systems; Vector Space Models; Language Models; Evidence from Behavior; Evidence from Metadata; User Interaction; Indexing; Cross-Language Retrieval; Document Image Retrieval; Speech and Music retrieval; Photograph and Video Retrieval

Introduction and Overview of the course. The Internet Revolution. Placing Technologies in Perspectives. World Wide Web, Social Web. Mobile Web. Relationships on the Internet. Collaboration and Communication in Online Spaces. Blogging; microblogging. Gaming; photo/file sharing. Digital Authority and Knowledge. Digital Divide. Democracy & Politics. Privacy. Censorship. Groups and Technologies of Mediation. Networked Community. Copyright; Creative commons.

Introduction to Semantic Web, its vision and architecture; Resource Description Framework (RDF; RDF Semantics (RDFS), Web Ontology language (OWL); First order logic; Description Logics, Ontology Reasoning; Semantic Web Query Languages; Semantic Web Services; Semantic Web Challenges (Ontology Merging, Alignment, Versioning, etc.). Research Trends in Semantic Web.

HCI models and theories: Human performance, Interaction models, Task models, Group interaction models; Observing users: Ethnographic techniques; Empirical evaluation: Experimental design, Data collection, Data interpretation

Introduction to digital libraries; A brief history of Digital Library development.; Planning a Digital Library; Presenting documents; Digital Document Formats: Markup and Metadata; Metadata standards; Interoperability; Digital Preservation, new media; Case Studies of Digital Libraries; Research Issues in Digital Libraries

Enterprise vision and objectives, Enterprise architecture principles and purpose; modeling approaches for enterprise architecture definition and communication; key enterprise architecture approaches, standards, and frameworks; Overview and use of Service Oriented Architecture (SOA). business architectures, data and information architectures, application & security architectures, Technical architectures, Middleware: CORBA, .Net, DCOM, EJB

Overview of ontologies; Ontology categorizations; Modeling ontologies; Ontology building methodologies; Ontology tools; Ontology design patterns; Ontology languages; Knowledge discovery for ontology construction; Role of annotations and Web in ontology development; Ontology evaluation; Ontology reuse: Ontology mediation, merging, alignment, integration; Ontology evolution.

The course covers advanced special topics not otherwise covered in the programme. Objective is expose student to the current developments in the field of Information Science and Technology.

Introduction to multimedia content (i.e., text, audio, image, and video objects); multiple modalities of information (i.e., textual, acoustic, and visual); web and multimedia contents; indexing and retrieval of various types of multimedia-based content; multimedia content descriptors and feature sets; multimedia content modeling; structured and semi-structured data models; Content based indexing and retrieval models; CBIR architectures; multimedia information retrieval and ranking; content-based web search; CBIR evaluation; emerging trend in CBIR.

Information retrieval fundamentals, information retrieval evaluation, word representational learning, word embeddings, language modeling, Word2Vec, FastText, word embeddings in information retrieval, query expansion with word embeddings, application to patent retrieval, neural networks, neural network methods in NLP, Sequence Modeling with CNNs (Convolutional Neural Networks) and RNNs (Recurrent Neural Networks): modeling word n-grams with CNN, hierarchical CNNs, recurrent neural networks, simple RNN, RNN as Encoder, LSTM, LSTM gating mechanism, encoder-decoder architecture, attention mechanism, encoder-decoder, and attention, Transformer and BERT: transformer architecture, contextualization via self- attention, transformer – positional encoding, masked language modeling, BERT, and extractive question answering, Neural Re-ranking: text-based neural models, properties of neural IR models, neural re-ranking models, re-ranking evaluation, KNRM (Kernel based Neural Ranking Model), and convolutional KNRM, Transformer Contextualized Re-ranking: web search with BERT, Re-ranking with BERT, splitting BERT - PreTTR and ColBERT, transformer-kernel ranking, TK (Transformer-Kernel) ranking, TKL (Transformer- Kernel for Long documents)and a hybrid approach IDCM (Intra-Document Cascade Model), domain specific information retrieval applications, Dense Retrieval Models – Knowledge Distillation: neural methods for IR beyond re-ranking, dense retrieval, dense retrieval and re-ranking, dense retrieval lifecycle, BERTDOT model, nearest neighbour search, nearest neighbour search – GPU brute-force, approximation of nearest neighbour search, knowledge distillation, DistilBERT, distillation in IR, deep learning based recommender systems.

Principles for designing the product; Development process for user interaction; Usability specifications; Design representation techniques; Prototyping; Formative user-based evaluation; Usability methods; User interaction development process.

Web modeling concepts; Modeling the Web applications for requirements engineering; Content modelling; Navigation modeling (Hypertext, Access structure); Modeling the presentation for the end user; Model driven development and model driven architecture; Evolution of the Web, Web 1.0 (visual Web), Web 2.0 (Social Web), and Semantic Web (the Web of metadata); Hypertext patterns; Persistence of HT patterns; O&M of Web applications.

Introduction to social networks; random network models; identifying connected components; giant component; average shortest path; diameter; preferential attachment; network centrality; betweenness; closeness; clustering; community structure; modularity; overlapping communities; small world network models; contagion; opinion formation; applications of social network analysis; social media networks.

Multimedia content and motivations for multimedia retrieval; Issues of multimedia Retrieval. Multimedia retrieval models; Content-based image retrieval; Content-based video retrieval; Content-based audio retrieval: audio representations, audio feature extraction; Query modalities and similarity measures; Analysis of existing multimedia retrieval systems, retrieval evaluation criteria, relevance feedback; current trends in Multimedia Retrieval.

Information Security Overview; Anatomy of a Security Problem; Hackers & Hacking; Threats & Risks; Access Control and Authentication; Network Firewalls; Security Specifications and Standards; Security Policy Overview; Cryptology; Cryptographic Hash Functions; Electronic Voting; Web Client Security; Web Server Security; Privacy; Incident Response; Trusted Computing.

Privacy, Privacy policies; Privacy enforcement; Adaptive privacy management; Access control mechanisms; Different access control models such as Mandatory, Discretionary, Role-Based and Activity-Based; Access control matrix model; Harrison-Russo-Ullman model and undecidability of security; Confidentiality models such as Bell-LaPadula; Integrity models such as Biba and Clark-Wilson; Conflict of interest models such as the Chinese Wall

Introduction and Recent history of multimedia technologies; Digital Image, Video and Audio Compression in Multimedia Communications; Networking Technology for Multimedia; Multimedia and the Internet; IETF Standard Protocols for Multimedia Transport; Multimedia Synchronization; Quality of Service (QoS) and Resource Management for Multimedia; Research Challenges in Real-time Multimedia transport; Multimedia conferencing and collaboration tools; Multimedia Security.

information Interaction; Seminal ideas of ubiquitous computing;
Tangibility and Embodiment; Social computing; Privacy; Critical and cultural perspectives;
Mobility and Spatiality; Mobile Technology in the Messy Now; Infrastructure;
Seams, seamlessness, seamfulness; Evaluating Interaction of Ubicomp systems

Information needs; information seeking behavior; search types: lookup, exploratory, and leisure-oriented search; information search process; search patterns; Multimedia information retrieval types; information retrieval interaction; nonlinear and multimodal data models; search results spaces; information exploration services; taxonomy of discovery; information discovery theories and models; search and discovery services; search results discovery scenarios; user studies; search results discovery evaluation.

Classical interaction models and paradigms; human cognitive models and interactions; multimodal interaction myths; multimodal inputs/outputs and processing; information dimensions and multimodalities; multimedia input/output systems; multimodal interaction patterns; multimodal interfaces classification; user-centered multimodal interfaces and interaction; virtual reality and augmented reality interfaces; multimodal search user interfaces; design guidelines, user studies; multimodal interface evaluation.

Introduction to recommender systems; Collaborative recommendation; Content-based recommendation; Knowledge-based recommendation; Hybrid recommendation approaches; Evaluating recommender systems; Recommender systems and the next-generation web; Group Recommender Systems; Trust-Aware Recommender Systems; Social Recommender Systems; Time and Location Sensitive Recommender Systems, Cross-Domain Recommender Systems, Multi-Criteria Recommender Systems; Advanced topics in recommender systems

Overview of the course and Metadata; History of schemes and metadata communities; Functions and Types of metadata; Metadata Structure and Characteristics: Semantics, syntax, and structure; Metadata creation process models; Interoperability; Metadata Integration and Architecture: Warwick Framework; Resource Description Framework; Open Archives Initiative; Encoding Standards (Markup Languages): Introduction and history of markup; Metadata use of markup languages; Document Type Definitions (DTD); Structural metadata Data Control Standards: Resource Identifiers; Data Registries; Controlled vocabularies; Name authority control (ISAAR and FRANAR); A-Core; Encoded Archival Description (EAD), Text Encoding Initiative (TEI); Metadata Evaluation: User needs; Quality control issues; Evaluation methods; Educational Metadata: Instructional Management Systems (IMS); Learning Object Metadata (LOM); Gateway to Educational Materials (GEM); Government Information Locator Service (GILS); Visual Resources Metadata: Categories for the Description of Works of Art (CDWA); Visual Resources Association (VRA) Core; Computer Interchange of Museum Information (CIMI)

Introduction to social computing – goals, challenges, and recent research; social computing platforms – blogging, social networking, professional social computing platforms; collecting social computing data – Application Programming Interfaces (APIs), crawling, online surveys, benchmarks; research methods in social computing – descriptive methods, predictive methods, geospatial methods; qualitative research methods for social computing – focused groups, interviews, semiotics, opinion mining; spatial analysis methods – spatial interpolation, spatial regression, spatial visualization; temporal analysis methods – temporal data representation, analyzing time series data, prediction and grouping in temporal data; network-science based methods – graphs, nodes, edges, centrality measures, community detection.

Information Retrieval, Boolean Retrieval Model and Query Processing, Phrase Queries and Positional Queries, Ranked Retrieval Models: Motivation, Jaccard Coefficient, Log Frequency Weighting, TFIDF, SMART, Cosine Similarity Measures, Evaluating Search Engines, TF Transformation and BM25, BM25F and BM25+, Evaluation Measures: Precision, Recall, F-Measure, Average Precision, MAP and gMAP, Mean Reciprocal Rank, nDCG, Kappa Measure, Index Compression: RCV-1 Statistics, Dictionary Compression, Postings Compression, Text Classification, Naïve Bayesian, Probabilistic Retrieval Model, Probabilistic Language Modelling, N-gram language modelling, Feedback in text retrieval, Feedback in Vector Space Model, Link analysis and Page Rank, Recommender Systems: Content Based Recommendation and Collaborative Filtering

Introduction to NLP; Observations and Target Encoding; Tensors; Sequence Modeling; Constituency Grammars and Parsers; Dependency Parsing; Information Extraction; Machine Translation; Transformers; Natural Language Generation; Coreference Resolution; Integrating Knowledge in Language Models; Pretrained Language Models; Advanced topics in NLP

Introduction to Nondeterministic and deterministic cryptography, Computationally secure encryption, Asymptotic ciphers, Computational Indistinguishability, Symmetric multi-party computation, Searchable encryption, Secure multiparty computation, Oblivious data transfer, Shannon perfect security, Linear and Nonlinear feedback shift registers, Block ciphers structures, Design and analysis of block ciphers primitives, Design and analysis of stream cipher primitives, Design and analysis of collision resistant hashing algorithms, Differential and Linear Cryptanalysis, Attacks on block ciphers, Attacks on stream ciphers, Partitioning cryptanalysis, Brute-force attacks, Plaintext attacks, Man in middle attack, Chosen plaintext attack, Known key attack, Ciphertext-only attack, Non-deterministic and deterministic random bit generator, Statistical randomness evaluation, Key generation, Key distribution centre, Factorization of polynomials, Gröbner basis algorithms, Shor\'s basis algorithm, Digital signature standard, Merkle–Hellman knapsack cryptosystem, Public key exchange, Zero-Knowledge Cave, Certification authorities.

Introduction and Overview of the course. Process of Web development; Information behaviour & the web. Content design and organization systems; Copyright issues. Labeling systems; Writing for the Web. Navigation design; Search systems. Page design; Multimedia. Web usability evaluation & testing. Accessibility for users with disabilities. Global audiences; Web standards & policies. Weblogs, Intranets, Websites for mobile devices; Web design software; Web Content Management Systems. Metadata; Search engines

Overview of the course and Information Visualization; Types of Graphs and Visualizations
Data Types and Graph Types; Design Choices in Building Basic Graphs; Multidimensional Graphing; Graphing and Basic Statistics; Perceptual Properties; How to Critique Visual Designs
Interactive Visualization; Multidimensional Interactive Visualization; Animation; Visualization Networks; Visualization for Search Interfaces and related Fields; Visualization for Text Analysis; 3D in Visualization; Research trends in Information Visualization

Vision of Web Accessibility (Web Accessibility Initiative); Accessibility guidelines; Different accessibility components (content developers, authoring tools, evaluation tools, contents, user agents, assistive technologies, user\'s characteristics); WCAG, ATAG, UAAG, EARL; Accessibility in various projects (Java Accessibility, Microsoft Enable, .); User\'s disabilities, human disease ontology; User interface characteristics; Modelling of user\'s disabilities, UI characteristics in Web Technologies; WAI-ARIA, the Accessible Rich Internet Applications.

Overview of the Information Retrieval Systems; Multimedia & its characteristics; P2P Systems & its characteristics; Content searching/locating in P2P systems; Emerging coding standards for information; Architecture of P2P-based information retrieval; Privacy & security issues in P2P-based information retrieval; Current research trends in P2P-based information retrieval.

Introduction to Digital Preservation. Digital objects, and their preservation; Key issues such as obsolescence of storage media, software and data formats, hardware, and Digital Curation in Digital Libraries; their solution; Benefits of digital preservation such as Legal, Accountability & protection from litigation, Protecting the long term view, Protecting investment, Reuse; Reference Models for digital preservations; Role of Metadata and Registries; Preservation Methods, approaches, and their evaluation; Selection and appraisal methodologies; Digital Curation in Digital Libraries; Audit and Certification of Preservation Processes and Repositories.

Introduction to map-reduce; large scale file systems, hadoop distributed file system (HDFS); similarity search; minhashing; locality sensitive hashing; fast data-stream processing; PageRank; link-spam detection; frequent itemset mining; clustering very large and high-dimensional datasets; dimensionality reduction: PCA, SVD; CUR decomposition.

Introduction and history of Online Social Networks; Analysis & Design of Online Social Networks; Characteristics of Online Communities; Web 2.0; Application development of Online Social Networks; Clustering & Community Detection; Applications of Online Social Networks; Privacy and other Online Social Issues; Social impact of the social web.

Overview of social media; folksonomies; formal structure of folksonomies; crawling data using APIs; metadata associated with social media; context in social media; contents in social media: tags, photos, videos, status updates, bookmarks; analyzing tagging data; analyzing contents in social media: low-level image features (MPEG7), textual contents, micro blogs; concept identification; recommendation systems; event detection and prediction.

Introduction and overview of the course. Analytical Reasoning and Critical Thinking. Mental and Visualization Models. Data: Representations, Transformations, and Statistics. Visual Representations. Interaction. Communication: Production, Presentation, Dissemination. Sense Making. Collaborative Visual Analytics. Evaluation of VAST systems.