CCMAS Course Search

Nigerian history, culture and art up to 1800 (Yoruba, Hausa and Igbo peoples and cultures; peoples and cultures of the minority ethnic groups). Nigeria under colonial rule (advent of colonial rule in Nigeria; colonial administration of Nigeria). Evolution of Nigeria as a political unit (amalgamation of Nigeria in 1914; formation of political parties in Nigeria; nationalist movement and struggle for independence). Nigeria and challenges of nation building (military intervention in Nigerian politics; Nigerian Civil War). Concepts of trade and economics of self- reliance (indigenous trade and market system; indigenous apprenticeship system among Nigerian peoples; trade, skill acquisition and self-reliance). Social justice and national development (definition and classification of law); Judiciary and fundamental rights. Individuals, norms and values (basic Nigerian norms and values, patterns of citizenship acquisition; citizenship and civic responsibilities; indigenous languages, usage and development; negative attitudes and conducts [Cultism, kidnapping and other related social vices]). Re-orientation, moral and national values (The 3Rs – Reconstruction, Rehabilitation and Re-orientation; re-orientation strategies: Operation Feed the Nation (OFN), Green Revolution, Austerity Measures, War Against Indiscipline (WAI), Mass Mobilization for Self- Reliance, Social Justice and Economic Recovery (MAMSER), National Orientation Agency (NOA). Current socio-political and cultural developments in Nigeria.

The concepts of peace, conflict and security in a multi-ethnic nation. Types and theories of conflicts: ethnic, religious, economic, geo-political Conflicts; structural conflict theory, realist theory of conflict, frustration-aggression conflict theory; root causes of conflict and violence in Africa: indigene and settlers phenomenon, boundaries/boarder disputes, political disputes, ethnic disputes and rivalries, economic inequalities, social disputes, nationalist movements and agitations; selected conflict case studies – Tiv-Junkun, ZangoKartaf, chieftaincy and land disputes, etc. Peace building, management of conflicts and security: Peace & Human Development. Approaches to Peace & Conflict Management (religious, government, community leaders). Elements of peace studies and conflict resolution: Conflict dynamics assessment Scales: Constructive & Destructive. Justice and Legal framework: Concepts of Social Justice; The Nigeria Legal System. Insurgency and terrorism. Peace mediation and peace keeping. Peace and Security Council (international, national and local levels). Agents of conflict resolution – Conventions, Treaties Community Policing: Evolution and Imperatives. Alternative Dispute Resolution (ADR) (dialogue,. arbitration, negotiation, collaboration). The roles of international organizations in conflict resolution (a) The United Nations, UN and its conflict resolution organs. (b) The African Union & Peace Security Council (c) ECOWAS in peace keeping). The media and traditional institutions in peace building. Managing post- conflict situations/crises: Refugees. Internally Displaced Persons (IDPs);the role of NGOs in post-conflict situations/crises.

Scope of philosophy; notions, meanings, branches and problems of philosophy. Logic as an indispensable tool of philosophy. Elements of syllogism, symbolic logic— the first nine rules of inference. Informal fallacies, laws of thought, nature of arguments. Valid and invalid arguments, logic of form and logic of content — deduction, induction and inferences. Creative and critical thinking. Impact of philosophy on human existence. Philosophy and politics, philosophy and human conduct, philosophy and religion, philosophy and human values, philosophy and character molding, etc.

Development of O.R. techniques and tools. Deterministic models and their place in industrial operations. Scope, theory and application of linear programming models. Simplex method. Resource allocation, assignment and transportation problems. Duality. Review of computer programming with special reference to Industrial and production problems. Application of software such as Solver, TORA etc to solve O.R. problems. OR project with written report and an oral presentation 500 Level

Simple Inventory control Methods with deterministic and stochastic demand. The EOQ Model. lot sizing. supply chain management. Scheduling. Materials Requirement Planning (MRP). Just- in-Time models. Pull Control Systems and Aggregate Planning.

Principles of production. Types of production processes. Development of Group technology and cellular systems. Materials management. Purchasing methods. Engineering Economy. Economic analysis of engineering projects. Selection of appropriate interest rates and methods of analysis, depreciation and tax considerations. Survey of manufacturing methods in a range of industries, textiles, timber, food, agriculture, etc. Plant visits. Overview of Some manufacturing industries such as cement, electronics, etc. Industrial computers and their applications. Small–scale businesses in Industrial and Production Engineering. IPE 532 : Production Management II (3 Units C: LH 45) Learning Outcomes At the end of this course, the students should be able to: 1. explain the fundamental principles of production planning and control and indicate how the knowledge of budgeting and cost control influences their outcome; 2. explain the meaning of forecasting, identify its types and show its importance; 3. determine forecast accuracy and interpret the result; 4. explain the principles of quality control and identify problems in quality improvement process; 5. explain and apply statistics and probability to quality control and management; 6. describe the basic concept of Total Quality management, the steps involved and its implementation; 7. perform process capability and specification studies; 8. explain the basic principles of reliability; 9. apply the principles of statistics and probability in characterising the reliability of an item or system; 10. explain the bathtub curve and its application; 11. determine the reliability of series and parallel systems; 12. explain basic concepts such as preventive ; and 13. corrective maintenance, maintainability and availability. Course Contents Production Planning and Control. Principles of control, Budgetary and cost control. Information Processing and Control. Forecasts. Principles of forecasting. Simple forecasting models and forecast accuracy. Schedulling Techniques. Sequencing n-jobs through n-machines. Quality Control. Quality Control Principles, Total Quality Concepts, economics of quality. process capability. Control Charts. Sampling systems. Inspection Systems. Quality Motivation and Training. Basic concepts of Reliability Engineering. Principles of reliability engineering, The Bathtub Curve. Failure rate analysis. Reliability of systems – Series and Parallel Systems, Maintenance – Preventive and Corrective. Maintainability and Availability. Minimum Academic Standards Equipment The required equipment and tools required for the Industrial and {Production engineering programme in accordance with the requirements of major laboratories are listed below. Note that accessories and consumables needed for effective use of these equipment are not listed but will be requested by the department that runs this curriculum when purchasing the equipment. Industrial and Production Engineering Laboratory Equipment 1. Induction Furnaces. 2. CNC machines 3.Lathe Machines. 4.Drilling Machines. 5.Hacksaw, Stolling, Cutting Machine. 6.Universal Gear Hobing Machine. 7.Sheet streaming, Bending, Rolling Machine. 8.Work Press Machines such as Eccentric press, punch press, Arbor press, Double Piller Type. 9.Screw presses. 10.Hammer mills. 11.Modern callipers and gauges. 12.Computer Workstations and Software. 13.Ergonomic Lab Workstations. Staffing Academic Staff The NUC guidelines on staff/student ratio of 1:15 for Engineering and Technology departments shall apply. However, there should be a minimum of six full-time equivalents of Staff in the department. There is need to have a reasonable number of Staff with doctoral degrees as well as sufficient industrial experience. With a minimum load of 15 Units per semester for students and a minimum of six full-time equivalent of staff in each programme, staff should have a maximum of 15 contact hours per week for lectures, tutorials, practical’s and supervision of projects. NUC requirement encourages all academic staff to have PhD degrees; hence appointment of academic staff is preferably to the Lecturer cadre. Only in exceptional cases are candidates with great promise appointed to Graduate Assistant and Assistant Lecturer positions for the purpose of being developed to the Lecturer cadre as registered PhD candidates. Academic Support Personnel Teaching Assistant/Demonstrators to help lecturers in the conduct of tutorials, practical’s and field work. This category of personnel is not expected to be regular staff as they are to be paid on the basis of approved hourly rate. Administrative Support Staff The services of the administrative support staff are indispensable in the proper administration of the departments and faculty offices. It is important to recruit very competent senior staff that are computer literate. Technical Support Personnel The services of technical support staff, which are indispensable in the proper running of laboratories and workshop/studios are required. It is important to recruit very competent senior technical staff to maintain teaching and research equipment. They are also to undergo regular training to keep them abreast of developments in equipment operation and maintenance. The minimum of academic staff to technical staff ratio of 5:1 should be maintained. Minimum Number of Staff Subject to the general standards specified by NUC; 1. there should be a minimum of two PhDs and four M.Eng degree holders full-time academic staff to mount the programme; 2. each workshop or laboratory should have an adequate number of staff with the right mix, such that each unit or section in that workshop or laboratory can run efficiently; and 3. there should be an adequate number of administrative staff of the appropriate caliber for the office of the Head of Department to run. Student/Staff Ratio The minimum staff-to-student ratio should be 1:15 from 200 level to 500 level. Library In addition to the university and faculty libraries, the programme must have a departmental library well equipped with specialised and modern books and journals in both physical and E-collections (E-Resources) of various types. Various field and research reports of the programme must also be available in the library for staff, students and researchers. The library must be connected to subscribed repository of: 1. Institutions (national and international); 2. Open access sources; 3. Professional Bodies’ E-learning platforms; and 4. Relevant international organizations; The library must also have adequate facilities for reading, lending services and reservation for specialised materials. It must have a dequate seating capacity for users up to 2,700. Other requirements include shelves (Main/Engineering Branch Library) , trolleys, reading chairs/tables. Computers, Printers, Scanners, Labelling machine, Catalogue cabinets, Kirk stand, cataloguing and classification tools, giant size staplers, cutter tables, library of congress subject heading, delivery decimal classification scheme, Universal decimal classification scheme. Classrooms, Laboratory, Workshops, Clinics and Offices The ICE programme shall adopt NUC recommendations for physical space requirement as presented below: Academic Size (m2) Head of Department’s Office 18.50 Professor’s Office 18.50 Tutorial Teaching Staff Space 13.50 Other Teaching Staff Space 7.00 Technical Staff Space 7.00 Science Staff Research Laboratory 16.50 Engineering Staff Research Laboratory 14.50 Seminar Space per student 1.85 Drawing Office Space (A.O. Board) (Per Student) 4.60 Drawing Office Space (A.I. Board) (Per Student) 3.70 Laboratory Space 7.50 Non-Academic Secretarial Space 7.00 Office Accommodation The requirements for office accommodation are: S/No Office No in Facilities Room 1. HOD/Professor 1 Table, chairs, A/C, filing cabinet, bookshelves, computer unit, Secretary and facilities. 2. Reader/ 1 Table, chairs, A/C, filing cabinet, bookshelves, Associate Professor computer unit. 3. Senior Lecturer 1 Table, chairs, A/C, filing cabinet, bookshelves, computer unit. 4. Lecturer I 2 5. Lecturer II 3

Current and potential future energy systems in Nigeria and globally - resources, extraction, concepts in energy conversion systems; parallels and differences in various conversion systems and end-use technologies, with emphasis on meeting 21st-century national, regional and global energy needs in a sustainable manner. Various energy technologies in each fuel cycle stage for fossil (oil, gas, synthetic), nuclear (fission and fusion) and renewable (solar, biomass, wind, hydro, and geothermal). Energy types, storage, transmission and conservation. Analysis of energy mixes within an engineering, economic and social context. Sustainable energy; emphasise sustainability in general and in the overall concept of sustainable development and the link this has with sustainable energy as the fundamental benefit of renewable energy. Practical Content: Simple measurement of solar radiation, bomb calorimeter determination of calorific value of fuels and biomass; measurement of the velocity of wind, waves and the energy that abound in them; laboratory production of biogas and determination of energy available in it; simple conversion of solar energy to electricity; transesterification of edible oil into biodiesel; simulation of geothermal energy; Geiger-Muller or Scintillation Counters’ determination of uranium or thorium energy; simple solid or salt storage of energy; hybrid application of renewable energy. GET 307: Introduction to Artificial Intelligence, Machine Learning and Convergent Technologies (3 Units C: LH 45) Learning Outcomes At the completion of the course, the students are expected to be able: 1. explain the meaning, purpose, scope, stages, applications and effects of artificial intelligence; 2. explain the fundamental concepts of machine learning, deep learning and convergent technologies; 3. demonstrate the difference between supervised, semi-supervised and unsupervised learning; 4. demonstrate proficiency in machine learning workflow and how to implement the steps effectively; 5. explain natural languages, knowledge representation, expert systems and pattern recognition; 6. describe distributed systems, data and information security and intelligent web technologies; 7. explain the concept of big data analytics, purpose of studying it, issues that can arise with a data set and the importance of properly preparing data prior to a machine learning exercise; and 8. explain the concepts, characteristics, models and benefits, key security and compliance challenges of cloud computing. Course Contents Concepts of human and artificial intelligence; artificial/computational intelligence paradigms; search, logic and learning algorithms. Machine learning and nature-inspired algorithms – examples, their variants and applications to solving engineering problems; understanding natural languages; knowledge representation, knowledge elicitation, mathematical and logic foundations of AI; expert systems, automated reasoning and pattern recognition; distributed systems; data and information security; intelligent web technologies; convergent technologies – definition, significance and engineering applications. Neural networks and deep learning. Introduction to python AI libraries.

Practical experience in a workshop or industrial production facility, construction site or special centres in the university environment, considered suitable for relevant practical/industrial working experience but not necessarily limited to the student’s major. The students are exposed to hands-on activities on workshop safety and ethics, maintenance of tools, equipment and machines, welding, fabrication and foundry equipment, production of simple devices; electrical circuits, wiring and installation, (8-10 weeks during the long vacation following 200 level). NOTE: Each programme to indicate additional details of programme-specific activities for their students. 300 Level

On-the-job experience in industry chosen for practical working experience but not necessarily limited to the student’s major (Students are to proceed on three months of work experience i.e. 12 weeks during the long vacation following 300 level). Students are engaged in the more advanced workshops, indoor software design training similar to what they will use in the industry and outdoor construction activities to sharpen their skills. The use of relevant animation videos that mimic industrial scenarios is encouraged. Students are to write a report at the end of the training. As much as possible, students should be assisted and encouraged to secure 3 months placement in the industry. Examples of outline of activities and experiences to which students are expected to be exposed to earn prescribed credits include: Section A: Welding and fabrication processes, automobile repairs, · lathe machine operations: machining and turning of simple machine elements, such as screw threads, bolts, gears, etc. Simple milling machine operations, machine tool maintenance and trouble- shooting, andwooden furniture making processes. Section B: Mechanical design with computer graphics and CAD modelling and drafting. Introduction to Solidworks: software capabilities, design methodologies and applications. Basics part modelling: sketching with SolidWorks, building 3D components, using extruded Bose base · Basic assembly modelling, and solidWorks drawing drafting. Top-down assembly technique exploded view, exploded line sketch. Introduction to PDMS 3D design software; autoCAD mechanical, SPSS. A comprehensive case study design project. The student should be introduced to the concept of product/component design and innovation and then be given a comprehensive design project. Examples of projects should include the following: a. design of machine components; b. product design and innovation; c. part modelling and drafting in solidworks; and d. technical report writing.

On- the -job experience in industry chosen for practical working experience but not necessarily limited to the student’s major (24 weeks from the end of the first semester at 400-Level to the beginning of the first semester of the following session. Thus, the second semester at 400-Level is spent in industry). Each student is expected to work in a programme related industry, research institute or regulatory agencies etc, for a period of 6 months under the guidance of an appropriate personnel in the establishment but supervised by an academic staff of the Department. On completion of the training, the student submits the completed Log book on the experience at the establishment., Also, there will be a comprehensive report covering the whole of the student’s industrial training experiences (GET 299, GET 399 and GET 499), on which a seminar will be presented to the Department for overall assessment. IPE 411 Some Mathematical Methods in Industrial and Production Engineering (3 Units C: LH 45) Learning Outcomes At the end, the student should be able to: 1. solve higher order linear and non-linear differential equations and apply them to modelling and design of systems. 2. state Lagragian functions and discuss its importance and application in engineering optimisation problem solving. 3. apply Laplace and Fourier transforms techniques to solve differential equations in industrial and production systems. 4. apply statistical methods like correlation, regression analysis in analysing, interpreting experimental data and probability theory in testing and quality control. Course Contents Integral Transforms: Laplace and Fourier transforms. Application to boundary value problems in Engineering Calculus of Variations: Langrange’s equation and applications to Industrial and Production Engineering Scenarios Probability: Probability laws, Conditional Probability and dependence of events. Discrete and continuous Probability distribution. Probability functions: Density function and Distribution Function. Expected Values, Moments. Standard Distributions involving Binomial, Poisson and Normal Distributions. Statistics: Regression and Correlation: Method of least squares, Linear and Introductory Non- Linear regressions, Total and Partial Correlation. Sampling theory: Sampling distribution of mean. Confidence Interval for mean and Proportion. Test of Hypotheses: Development of Null and Alternate Hypotheses. Decision making with Hypothesis. Types I and II errors. Industrial Application of statistics and probability theories.