CCMAS Course Search

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.

The general scope of design. Factors influencing the cost of products. Process evaluation. Block diagrams. Mass and energy balances. Process flowsheets. Flowsheet symbols, engineering flowsheets symbols, engineering flowsheets, mechanical flow diagram, utility flowsheets. Presentation and discussion of real design problems. Design codes and standards, design information and databases. Computer software packages (Aspen Hysys, PV Elite, Chem Cad). Selection between packed and plate towers and column internals. Detailed design procedures for distillation, extraction and absorption and costing. the applicability of these methods to vacuum and high-pressure operation. Mechanical design of columns including foundation and supporting structures.

Reasons for scale-up and basic principles. Heat exchanger system. Design and scale-up of jacketed vessels and shell-and-tube heat exchangers. Fluid flow system: scale-up of pumps and pipe networks for laminar and turbulent flow Liquid-mixing systems. General principles of scale-up and the use of pilot plant data. Optimization of plant dimensions, operating conditions, and the economics of alternatives. Plant layout of petrochemical plant. Design codes and standards, design information, and databases for heat exchanger designs. Plant Costing. Computer software packages required (ASPEN HYSYS, ASPEN PLUS, PV ELITE). PRE: PCE 413

Introduction to process dynamics and control; review of mathematical tools needed for modeling and simulation. Process dynamics: review of Laplace transforms. Transient behavior of I5', 2nd, and higher-order systems. Components of a control system; operation and design. Basic control actions, valves. Transfer functions. Use of block diagrams. Systems response to the impulse. Step and sinusoidal inputs. Derivation of dynamics equations for simple instruments-thermometers, liquid level, and manometer. Dynamic equations for control of simple models-mixing vessels, single CSTR and CSTR in series, PFR. Distillation and absorbers columns; Stability analysis/frequency response analysis; design of feedback controllers based on transient response criteria; design of feedback controllers- based on frequency response criteria. Design of model-based controllers such as IMC, DMC etc. Applications of control to petrochemical plants PREG. Minimum Academic Standards Equipment List of Laboratories/Workshops and Some Equipment/ Instruments/ Tools Expected in them Unit Operation Laboratory Batch Drying Unit, liquid-solid Rotary Filtration Unit; Spray Dryer, Wetted Disc Absorption Column, Apex Drier, Vacuum Distillation Unit, Double Effect Evaporator, Drying Ovens, Tray Drier Unit, Packed Tower Gas/Liquid Unit. Fluidized Bed Unit Distillation Unit Solid/Liquid Extraction Unit, Batch Reactor Assembly, Starch Hydrolyzing and Distillation Unit Process Development /Petroleum testing Laboratory Analytical equipment: viscosimeters, hydrometers, colorimeter, moisture balance, refractometer, pH meter, conductivity meter, flash and cloud point apparatus, fluid bed dryer, autoclave, cutting mill, vacuum pump, weighing balance, bomb and colorimeter, Soxhlet extractor, automated pressure, automated pH control process, automated temperature. Process rig, gas chromatograph, atomic absorption spectroscopy AAS, scanning electron microscope. Reaction, catalysis, and petrochemical analysis laboratory Gyratory shaker, stuart with accessory, laboratory oven, water bath, rotary evaporator, autoclave, centrifuge, liquid chemical reactor reaction vessel with pressure gauge, vacuum pump, batch reactors, reaction distillation unit, electric heating mantle and electromagnetic stirrer, burettes, pipette, beakers, laboratory chemicals. Computer/Animation Laboratory The computer laboratory should have at least 50 PCs and at least three petrochemical engineering software (ASPEN HYSYS packages, CHEMCAD, POYMATH, MATLAB) plus AutoCAD installed. Animation videos on several petrochemical plants such as the production of polymers. Fuel blending, pyrolysis of seeds to fuel oil. Ethylene glycol, ethylene acetate, production of sulphuric, phosphoric fertilizers. Production of gasoline, naphtha, kerosene, fuel, and lubricating oils, paraffin wax, asphalt etc. Inclusion of LabView software on the PCs. (LABVIEW Stands for Laboratory Virtual Instrumentation Engineering Workbench). It is mostly used for automating the usage of processing and measuring equipment in all the laboratory setup. It is used in the field of industrial automation, instrument control, data acquisition and more). Inclusion of SCILAB software (SCILAB is a numerical computation package that is very important in instrumentation and control engineering. It is also used in data analysis, signal processing, simulation of fluid dynamics and image enhancement). 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 There must be adequate library facilities to cater for the interest of all the programmes in the faculty. These include current journals, handbooks, textbooks, manuals, codes of practice, standards and specifications in sufficient numbers. Classrooms, Laboratories, Workshops, Clinics and Offices The following are the NUC requirements for various physical spaces: Academic m2 Professor’s office 18.50 Head of Department’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 Facilities S/No Office No in Room Facilities 1. HOD 1 Table, chairs, A/C, filing cabinet, bookshelves, computer unit, Secretary and facilities. 2. Professor 1 Table, chairs, A/C, filing cabinet, bookshelves, computer unit, Secretary and facilities. 3. Reader 1 Table, chairs, A/C, filing cabinet, bookshelves, computer unit. 4. Senior 1 Table, chairs, A/C, filing cabinet, bookshelves, Lecturer computer unit. 5. Lecturer I 2 Table, chairs, fan, filing cabinet, bookshelves. 6. Lecturer II 3 Table, chairs, fan, filing cabinet, bookshelves

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.

Definition of research, characteristics of research; types of research; the research process; formulating the research problem; considerations in selecting a research problem; reviewing the literature; procedure for reviewing the literature; formulation of objectives; preparing the research design; consideration for the research design; guidelines to construct a research tool; constructing a questionnaire; piloting the questionnaire; collecting data; ethical issues concerning research participants; ethical issues relating to the researcher; processing and analyzing data; the data processing operations; data analyzing methods; generalization and interpretation of the results; reporting the findings; writing research project report format; general attributes of a research proposal; what distinguishes an engineering research proposal; components of a research proposal; costing an engineering research proposal. The course is designed for final year students who will be required to make seminar presentations. Emphasis here is on how to write an introduction, literature review, methodology, results, and discussion as well as the derivation and/or development of relevant mathematical models and procedures. APA referencing style will also be discussed.

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.

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: 1. design of machine components; 2. product design and innovation; 3. part modelling and drafting in SolidWorks; and 4. 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.

The course comprises general, mechanical and electrical components: supervised hands-on experience in safe usage of tools and machines for selected tasks; Use of measuring instruments (calipers, micrometers, gauges, sine bar, wood planners, saws, sanders, and pattern making). Machine shop: lathe work shaping, milling, grinding, reaming, metal spinning. Hand tools, gas and arc welding, cutting, brazing and soldering. Foundry practice.Industrial safety and accident prevention, ergonomics, metrology. Casting processes. Metal forming processes: hot-working and cold-working processes (forging, press- tool work, spinning, etc.). Metal joining processes(welding, brazing and soldering). Heat treatment. Material removal processes. machine tools and classification. Simple theory of metal cutting. Tool action and cutting forces. Introduction to CNC machines. Supervised identification, use and care of various electrical and electronic components such as resistors, inductors, capacitors, diodes and transistors. Exposure to different electric circuits, wiring schemes, analogue and digital electrical and electronic measurements. Household and industrial energy consumption measurements. Practical energy conservation principles.