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.

GET 211: Computing and Software EngineeringA CCMAS course delivered on Diaspora BRIDGE by Oladimeji Kazeem. B.Eng. Petroleum and Gas Engineering · Engineering and Technology Course ObjectivesAt the end of the course, the students should be able to: Describe and apply computing, software engineering knowledge, best practices, and standards appropriate for complex engineering software systems; Develop competence in designing, evaluating, and adapting software processes and software development tools to meet the needs of an advanced development project through practical object-oriented programming exposure taught in concrete terms with a specific modern language, preferably selected from Python, Java or C++; Use widely available libraries to prepare them for machine learning, graphics, and design simulations; Develop skills in eliciting user needs and designing an effective software solution; Recognize human, security, social, and entrepreneurial issues and responsibilities relevant to engineering software and the digitalization of services; and Acquire capabilities that can further be developed to make them productively employable by means of short Internet courses in specific areas.

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

Course OverviewEDN 603 introduces students to the application of economic principles in the management and allocation of health and nursing resources. The course examines the relationships between demography, social stratification, poverty, social welfare and population health, alongside key health and economic indicators.Students will explore the concepts of scarcity, choice, opportunity cost, demand and supply and their application to healthcare. The course also considers the availability, distribution and production of health and nursing services, including human and material resource constraints and the internal and external migration of health workers.The course further examines health-sector policies and reforms, including national and global health-development initiatives, health insurance and social welfare programmes, public-private partnerships, outsourcing, privatisation and commercialisation of healthcare services. Particular attention is given to the political economy of health, costing of health and nursing services, bottom-up budgeting, and the planning, implementation, monitoring and evaluation of health programmes. Entrepreneurship in nursing services and the practical application of economic principles to resource allocation and decision-making in health and educational institutions are also considered.Learning OutcomesOn successful completion of this course, students should be able to:Explain the relationships between demography, social stratification, poverty, social exclusion, health and economic outcomes.Interpret key health and economic indicators, including morbidity, mortality and gross domestic product (GDP), and explain their relevance to health planning and resource allocation.Discuss social welfare, poverty-alleviation and health-financing programmes, including the role of nurses within Nigeria's health insurance system.Apply the concepts of scarcity, choice, opportunity cost, demand and supply to health and nursing services.Analyse the economic implications of internal and external migration of health workers and the availability and distribution of health and nursing services.Examine problems associated with the production of healthcare, including constraints relating to human and material resources.Evaluate the implications of government policies and health-sector reforms, including national and global health-development initiatives, public-private partnerships, outsourcing, privatisation and commercialisation of healthcare services.Explain and apply principles of political economy, costing and bottom-up budgeting within health, nursing and educational institutions.Apply principles of planning, implementation, monitoring and evaluation to healthcare programmes and resource utilisation.Examine entrepreneurship opportunities and resource-management considerations in nursing services.Integrate economic principles in making efficient and equitable decisions about the use of limited healthcare resources.

GET 305: Engineering Statistics and Data AnalyticsA CCMAS course delivered on Diaspora BRIDGE by Oladimeji Kazeem. B.Eng. Railway Engineering · Engineering and TechnologyAt the end of the course, the students should be able to:Work with data from the point of view of knowledge convergence, machine learning, and intelligence augmentation, which significantly raises their standard for engineering analysis (the approach forces them to learn statistics in an actionable way that helps them to see the holistic importance of data analytics in modern engineering and technology);Anticipate the future with artificial intelligence while fulfilling the basic requirements of conventional engineering statistical programming consistent with their future careers;Perform, with proficiency, statistical inference tasks with language or programming toolboxes such as R, Python, Mathematica, or MATLAB, and Design Expert to summarize analysis and interpretation of industry engineering data and make appropriate conclusions based on such experimental and/or real-life industrial data;Construct appropriate graphical displays of data and highlight the roles of such displays in data analysis, particularly the use of statistical software packages;Plan and execute experimental programs to determine the performance of program-relevant industrial engineering systems and evaluate the accuracy of the measurements undertaken; andDemonstrate mastery of data analytics and statistical concepts by communicating the results of experimental and industry-case investigations and critically reasoned scientific and professional analysis through written and oral presentation.

This seminar will explores the major issues in chronic disease epidemiology in Nigeria. Dive into relevant pathology, discover how population determinants shape health, and discuss innovative strategies for prevention. We’ll examine local risk factors, trends, interventions, and pressing health care challenges. The seminar will take an interdisciplinary approach to prevention and control, discussing both classical and cutting-edge research papers in chronic diseases.

ITH 202: Introduction to Epidemiology — a CCMAS course delivered on Diaspora BRIDGE by Dr. Ike Okosun. B.Sc. Information Technology and Health Informatics · Allied Health Sciences At the end of this course, student should be able to: 1. define epidemiology and describe its relationship with medicine and public health; 2. identify parameters related to morbidity and mortality; 3. define, interpret, and calculate measures of event occurrence; 4. define, compare, and contrast the design of case-control, cross sectional, cohort, and randomized trials; 5. define and identify concepts of causality; 6. identify and distinguish common types of bias; and 7. evaluate and discuss practical issues in designing and implementing epidemiological studies.

SVG 203: Field Astronomy — a CCMAS course delivered on Diaspora BRIDGE by Jacob Oloketuyi. B.Sc./B.Tech. Surveying and Geoinformatics · Environmental Sciences Upon completion of this course, students should be able to: 1. discuss the nature and motion of planets, solar, stellar and satellite systems; 2. use the applications of celestial coordinate system, time system and star almanac; and 3. develop the procedure for the determination of solar and stellar azimuths.

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