Courses with Gaps

Descriptive statistics, frequency distribution, populations and sample, central tendency, variance data sampling, mean, median, mode, mean deviation, percentiles. Probability. Binomial, Poisson hyper-geometric, normal distributions. Statistical inference intervals, test hypothesis and significance. Regression and correlation. Introduction to big data analytics and cloud computing applications. Introduction to the R language; R as a calculator; Vectors, matrices, factors, data frames and other R collections. Iteration and looping control structures. Conditionals and other controls. Designing, using and extending functions. The Apply Family. Statistical modelling and inference in R.

The course is a practical work experience that aims to relate studio theory and practice to the industry. It obtains for six months, at which time a student is attached to an industry/artist/institution to work under an experienced professional/atelier/institutional setting. At the end of the course, a bound report on the nature of work engagement(s) during the period. The experience acquired shall be presented in a written statement in a group seminar and evaluated. 400 Level Painting

These introductory courses emphasize quantitative measurements, the treatment of measurement errors, and graphical analysis. A variety of experimental techniques should be employed. The experiments include studies of meters, the oscilloscope, mechanical systems, electrical and mechanical resonant systems, light, heat and viscosity, which are covered in PHY 101 and PHY 102. However, emphasis should be placed on the basic physical techniques for observation, measurements, data collection, analysis and deduction.

This introductory course emphasizes quantitative measurements, the treatment of measurement errors, and graphical analysis. A variety of experimental techniques should be employed. The experiments include studies of meters, the oscilloscope, mechanical systems, electrical and mechanical resonant systems, light, heat, viscosity, covered in PHY 101 and PHY 102. However, emphasis should be placed on the basic physical techniques for observation, measurements, data collection, analysis and deduction.

pSpice simulation; Design of BJT-based amplifier systems; Design of FET-based amplifier systems; Current-series feedback design; Current-series feedback design; Voltage-shunt feedback design; Differential amplifier; Op-amp IC applications; Positive feedback and oscillator circuits; Advanced electronic laboratory skills (design, analysis, construction, and measurement of advanced analog electronic circuits using discrete devices (diodes, bipolar junction transistors, MOSFETs).

Non-starch polysaccharides; Natural processes involved in synthesis and degradation of foods; Photosynthesis; respiration; maturation; senescence; Chemical changes that occur in foods during and after processing; Food pigments and other colourants; Food flavor compounds; Effects of maturation and processing on pigments and flavor compounds

Chemistry and structure of the amino acids. Peptides, essential and non-essential amino acids.

Course Contents Types of livestock (for eggs, milk, meat, wool, etc). distribution of livestock in Nigeria. Livestock housing. Livestock processing equipment.