Courses with Gaps

The course is designed to acquaint students in the discipline of health sciences with management information and skills in matters relating to all aspects of the national health care systems, (the primary health care, the secondary health care and the tertiary health care systems). Students should learn organisational behaviour, theories of motivation and managerial skills. The course gives an overview of the national health policy and the development of the national health systems. The roles of governments at each of the levels and those of the NGOs are highlighted. Modern concepts and elements of management by objectives are reviewed in the context of health planning, implementation and health programme monitoring and evaluation. Principles and practice of Health Insurance Scheme and challenges of the programme. Modalities for leading health team and organising health care activities are as well highlighted Methods and means of managing human and material resources are also covered. The course covers also various aspects of selected international health care system.

Mandatory 6 months uninterrupted SIWES training at the 300-level second semester. Work experience in public or private institutions and organisations relevant to the programme and or job market such as hospitals, nursing homes, ambulatory care facilities, physician practices, insurance organisations, health-related research and development firms, pharmaceutical and medical equipment companies.

Introduction to immune system: Definitions, types (adaptive and innate), B and T lymphocytes, chemical mediators (cytokines, interleukenes, antibodies, and many others). Abnormal immune responses: Hypersensitivity (Type I, II, III, IV), Autoimmunity, immunodeficiency diseases. Immunosuppressive drugs: Glucocorticoids, Calcineurin inhibitors, Anti-proliferatives (mycophenolate e.t.c), cytotoxic agents, Antibodies, RhO (D) immune globulin, Monoclonal antibodies, (rituximab and many others). Cytokines: Interferones, TNF – alpha, and many others. Drug allergy, Tumor markers for solid tumors. Antigraft rejection drugs. Steroidal and non- steroidal anti-inflammatory drugs. Used in the treatment of gout. Practical: Designed to reflect experimental models of the topics taught above.

This is an introductory course on Artificial Intelligence. The topics include; Overview: foundations, scope, problems, and approaches of AI. Intelligent agents: reactive, deliberative, goal-driven, utility-driven, and learning agents; Artificial Intelligence programming techniques. Problem-solving through Search: forward and backward, state-space, blind, heuristic, problem-reduction, A, A*, AO*, minimax, constraint propagation, neural, stochastic, and evolutionary search algorithms, sample applications. Knowledge Representation and Reasoning: ontologies, foundations of knowledge representation and reasoning, representing and reasoning about objects, relations, events, actions, time, and space; predicate logic, situation calculus, Content logics, reasoning with defaults, reasoning about knowledge, sample applications. Planning: planning as search, partial order planning, construction and use of planning graphs. Representing and Reasoning with Uncertain Knowledge: probability, connection to logic, independence, Bayes rule, bayesian networks, probabilistic inference, sample applications. Decision-Making: basics of utility theory, decision theory, sequential decision problems, elementary game theory, sample applications. Machine Learning and Knowledge Acquisition: learning from memorisation, examples, explanation, and exploration. learning nearest neighbor, naive Bayes, and decision tree classifiers, Q-learning for learning action policies, applications. Sample Applications of AI, student project presentations.

The heart; events of the cardiac cycle. Control of cardiac contractility. Cardiac electrophysiology. Properties of cardiac muscles. Cardiac output - measurement and control. Haemodynamics of circulation. Arterial blood pressure and its regulation. Cardiovascular reflexes. Peripheral resistance and local control of the circulation. Regional blood flow. Cardiovascular changes in exercise, haemorrhage and shock. Respiratory physiology – functions of upper respiratory tract. Mechanics of respiration including compliance. Surfactant. Lung volume and capacities. Pulmonary gas exchange. Blood gas transport. Pulmonary function tests. Nervous and chemical control of respiration. Response to hypoxia, high altitude, exercise and artificial respiration.

The heart; events of the cardiac cycle. Control of cardiac contractility. Cardiac electrophysiology. Properties of cardiac muscles. Cardiac output - measurement and control. Haemodynamics of circulation. Arterial blood pressure and its regulation. Cardiovascular reflexes. Peripheral resistance and local control of the circulation. Regional blood flow. Cardiovascular changes in exercise, haemorrhage and shock. Respiratory physiology – functions of upper respiratory tract. Mechanics of respiration including compliance. Surfactant. Lung volume and capacities. Pulmonary gas exchange. Blood gas transport. Pulmonary function tests. Nervous and chemical control of respiration. Response to hypoxia, high altitude, exercise and artificial respiration.

History and development of computer technology. The why and how of computers. Computer types: analogue, digital, and hybrid. Central preparation equipment: keypunch, sorter and the likes. Data transmission, nature, speed and error detection. data capture and validation, including error detection. Systems analysis and design. Modern data storage and retrieval system. Introduction to programming languages. Introduction to basic system and application software.

Introducing the history and concepts of epidemiology, using principles and methods of both descriptive and analytical epidemiology to address public health problems and issues. Practical application of epidemiology, measures of morbidity and mortality, descriptive epidemiology, causation, source of epidemiological data, epidemiological studies’ design, measure of effect, data interpretations issues, and screening for disease in the community.

Definitions and concepts of land and land use; the need for planning land use. Attributes of land use planning, methods of land use planning, principles of land use; land use determinants, land use dynamics and integrated spatial solutions for problems on different scales. Area-oriented integration of various tools for land use planning, regional and environmental management. Agricultural/rural land use planning: models of land use planning, and concept of entrepreneurship (entrepreneurship, intrapreneurship/Corporate entrepreneurship,). theories, rationale and relevance of entrepreneurship (Schumpeterian and other perspectives. Risk-taking, necessity and opportunity-based entrepreneurship and creative destruction). Characteristics of entrepreneurs (opportunity seeker, risk taker, natural and nurtured, problem solver and change agent, innovator and creative thinker). Entrepreneurial thinking (critical thinking, reflective thinking, and creative thinking). Innovation (concept of innovation, dimensions of innovation, Change and innovation, knowledge and innovation). Enterprise formation, partnership and networking (basics of business plan, forms of business ownership, business registration and forming alliances and join ventures). Contemporary entrepreneurship issues (knowledge, skills and technology, intellectual property, virtual office, networking). Entrepreneurship in Nigeria biography of inspirational entrepreneurs, youth and women entrepreneurship, entrepreneurship support institutions, youth enterprise networks and environmental and cultural barriers to entrepreneurship). Basic principles of e-commerce.

The theory of quantum information and quantum computation; classical information theory; compression of quantum information; transmission of quantum information through noisy channels; quantum entanglement; quantum cryptography; classical complexity theory; quantum complexity; efficient quantum algorithms; quantum error-correcting codes; fault-tolerant quantum computation; and physical implementations of quantum computation