Conceptual frameworks to understand the prospects and challenges and roles of information and of information and communications technologies (ICTs) in social and economic development; knowledge and skills to help in the effective planning, development, implementation and management of ICT for development initiatives; case studies.
Course Catalogue
As necessary.
An introduction to e-commerce principles, theories, technologies and applications. This course gives an overview of the impact of new technologies on commercial paradigms and practices, legal issues and business ethics. The course also comprises advanced managerial issues regarding the use of cutting-edge e-Business applications. It provides students with a deeper understanding of new technologies and recent theory in e-commerce and their implications for e-business thought and practice.
Introduction to MIS, Components on IS, Structures of IS, Implementation of different IS, DSS, AIS, Project Planning, Production cycle, Data processing, Processing cycle, etc.
Analysis, design and implementation of multimedia software, primarily for e-learning courses or training. Projects emphasize user interface design, content design with storyboards or scripts, creation of graphics, animation, audio and video materials, and software development using high level authoring tools.
Introduction to Web Technologies. HTML5, CSS3 with it’s new components. JavaScript, jQuery, AJAX. Data transmission formats and processes. XML and JSON. Cyber Security and Secured Protocols.
Introduction to the social implications of computing, Social implications of networked communication, Growth of, Control of, and access to the Internet, Gender – Related issues, Cultural issues, International Issues, Accessibility Issues (e.g. underrepresentation of minorities, Women and disabled in the computing profession), Public policy issues (e.g. electronic voting). Making and evaluating ethical arguments, Identifying and evaluating ethical choices, Understanding the social context of design, Identifying assumptions and values. Professional Ethics: Community values and the laws by which we live, The nature of professionalism (Including care, attention and discipline, fiduciary responsibility, and mentoring). Keeping up-to-date as a professional (in terms of knowledge, tools, skills, legal and professional framework as well as the ability to self-assess and computer fluency), Various forms of professional credentialing and the advantages and disadvantages, Codes of ethics, conduct, and practice(IEEE, ACM, SE, AITP, and so forth), Dealing with harassment and discrimination, Historical examples of software risks (such as the Therac-25 case), Implications of software complexity, Risk assessment and Risk Management; Risk removal, risk reduction and risk control. Security Operations: Physical security, Physical access controls, Personnel access controls, Operational security, Security polices for systems/networks, Recovery and Response, Dealing with problems (both technical and human). Foundations of Intellectual Property, Copyrights, patents, and trade secrets, Software Piracy, Software Patents, Transactional issues concerning Intellectual Property. History and examples of computer crime, “Cracking” (“Hacking”) and its effects, Viruses, Worms, and Trojan Horses, Identity Theft, Crime Prevention strategies.
Advancement of AI technology has enabled more expansion of its application area. From medical treatment, gaming, manufacturing to daily business processes. Huge amount of money has been poured in AI research due to its exciting discoveries. However, the rapid growth and excitement that the technology offers obscure us from looking at the impact it brings in our society. This course gives an introduction to AI & Machine Learning and discusses various impacts of AI & ML in our lives and society today.
This course will work on building the entrepreneurial mindset and introducing basic entrepreneurship principles, technology innovation and creativity through interactive lectures, workshops, and case studies in contemporary issues to include energy, life sciences, healthcare, social issues to be tackled through technology. This course will help students learn the processes and skills needed to launch and manage new technology ventures, with a focus on business plan development. Topics related to critical legal and business issues entrepreneurs face as they build and launch a new technology venture will be covered. Attention will be placed on new venture formation, intellectual property management, and financing arrangements to establish a tech startup.
Data analysis is an evolving area of studies with focus on various predictive modeling techniques coupled with ample analytical tools that help increase our capacity to handle data. This course helps students to develop a basic understanding of data analysis that they will need to make decisions using data, and to communicate the results effectively. The course is an introduction to the key concepts of statistics for data analysis, essential tools and methodologies for predictive modeling tasks.