This introductory level provides participants with a foundational understanding of Artificial Intelligence (AI) and its growing impact on universities and higher education. It introduces key AI concepts, current applications of AI in teaching, learning, research, assessment, and university administration, and the changing skills that graduates will need in an AI-driven economy.The course also examines the opportunities and challenges of AI in Nigerian higher education, including academic integrity, bias, misinformation, privacy, over-reliance on AI, and the changing role of lecturers and students. Participants will begin to consider how universities can move beyond simply adopting AI tools towards rethinking what they teach, how they teach it, and the competencies graduates need to remain relevant in the future of work.

This seminar examines how artificial intelligence is reshaping higher education and the skills universities need to develop for an increasingly AI-driven economy. It moves beyond an introduction to AI to critically examine its implications for university curricula, teaching and learning, assessment, research, graduate employability, and the future of academic work.Participants will explore the changing skills and competencies required by employers, assess the limitations of traditional curricula, and consider how AI literacy, data literacy, critical thinking, creativity, problem-solving, ethical reasoning, and AI governance can be incorporated into university education. The seminar also considers the opportunities and risks associated with generative AI, including academic integrity, bias, privacy, responsible use, and human oversight.Using practical examples and guided discussion, participants will develop recommendations for making Nigerian universities more responsive to technological change and better preparing graduates for an AI-enabled workplace. The session concludes by considering what universities should teach differently, teach additionally, or stop teaching as AI becomes increasingly capable.

This seminar explores how artificial intelligence is transforming universities and examines what Nigerian higher education institutions should teach to prepare students for an AI-driven economy. It considers the impact of AI on teaching, learning, research, assessment, academic and professional roles, and graduate employability.Participants will critically examine the changing balance between technical AI skills, data literacy, disciplinary knowledge, critical thinking, creativity, communication, problem-solving, and ethical judgement. The seminar will also consider challenges including academic integrity, AI bias, privacy, responsible AI use, and governance.Using the Nigerian higher-education context, participants will evaluate whether existing curricula remain fit for purpose and explore practical approaches to curriculum redesign, AI literacy, interdisciplinary education, and industry-aligned skills development. The session aims to move beyond simply teaching students to use AI towards developing graduates who can understand, evaluate, govern, and responsibly apply AI in their professional fields.

In this course we will go over organic chemistry. similar to CHM 401

This is an integrated course that explores topics related to green chemistry and chemical effects in the natural environment. Chemistry topics include atomic, molecular, ionic, and radical structures, stoichiometry, equilibrium, sustainability, and green chemistry principles. Environmental topics include the sources, reactions, transport, effects, and fates of chemical species in the soil, water, and air. These two areas are woven together in daily work and larger projects.DELIVERED BY:NAME: PROF. MOHAMMED ABDUL KABIRPHONE: +13365494850EMAIL: mohammedak@yahoo.com

Building on the challenges identified in Week 1, participants will engage in hands-on workshops and case discussions to explore how ecommerce platforms, digital payment systems, supply chain digitization, digital marketing, and export support mechanisms can address these barriers. Faculty, students, and invited entrepreneurs will collaboratively identify feasible interventions for Ariaria firms.   DELEVERED BY; JULIET OSUJI | ID: DIAS/1128 

Interactive seminars with faculty and postgraduate students to examine the barriers faced by indigenous manufacturers in Ariaria International Market, including export readiness, product standards, branding, logistics, and institutional constraints. The week will also involve planning meetings to refine the collaborative research agenda and research design.   DELEVERED BY; : JULIET OSUJI | ID: DIAS/1128 

This week will consist of a series of lectures and practical workshop sessions covering Practical AI & ML in Engineering, AI Applications in Structural Engineering, Construction and Research MethodsDELIVERED BY:NAME: Dr Nosayaba EvbuomwanPHONE: +18173001205EMAIL: nosaengr@gmail.com

This week will consist of a series of lectures, practical workshop sessions, Examples & Case Studies. hands-on workshop/research sessions. Discussions will cover: Necessity for International Research Networks, Architecture and Framework for Collaboration, Leveraging the Nigerian Academic community in the Diaspora, Budget Planning and Securing Resources through Network and Research identity, competence, capacity and co-authorshipDELIVERED BY:NAME: Dr Nosayaba EvbuomwanPHONE: +18173001205EMAIL: nosaengr@gmail.com

This week will consist of a series of lectures, practical workshop sessions, and Examples & Case Studies. It will involve Ideas for Pilot, Research to Market Framework, Managing Intellectual property, Building a translation Team and Framework and the necessary toolkit.DELIVERED BY:NAME: Dr Nosayaba EvbuomwanPHONE: +18173001205EMAIL: nosaengr@gmail.com

Participants will synthesize insights from the first two weeks to develop actionable outputs, including a collaborative research plan, data collection framework, potential joint publications, grant opportunities, and policy recommendations. The engagement will conclude with a knowledge-sharing seminar presenting proposed interventions and next steps to university leadership and relevant stakeholders.   DELEVERED BY: JULIET OSUJI | ID: DIAS/1128