CCMAS Course Search

Study of the characteristics and behaviour of soil as it relates to the design and construction of buildings. Topics include compaction, seepage, subsurface stress, shear strength and settlement. Laboratory sessions are devoted to testing soil samples for relevant properties.

Basic concepts of spatial organization: principles of classification of geographical phenomena; growth and spatial distribution of population. Production systems; typology and distribution; location, spacing and growth of settlements; movements over space and transport networks. Land-use; typology, patterns and interaction.

Meaning and definition of soil quality. Concepts of soil quality and their significance. Development of framework for evaluation of soil quality. Soil quality index; Characteristics of the quality and types of soil. Differences between soil quality and soil health. Importance of setting soil quality standards. Procedures for setting standards for soil quality. Agencies for setting soil quality standards. Evaluation of policies and its effectiveness on soil quality standards in Nigeria. Minimum Academic Standards Personnel The personnel requirements for the programme should reflect student population and the variety of activities to be performed in the classrooms, studios, laboratories and workshops. The ratios should conform to the NUC minimum guidelines on staff/student ratio of 1:15 for the Discipline. Academic Staff The point of entry for each of the recognised teaching staff positions should reflect appropriate academic qualifications, and experience in both teaching and professional practice. Details of the requirements for the various positions are indicated in Table 4: Academic Support Personnel Teaching Assistant/Demonstrators are recommended to assist lecturers in the conduct of tutorials, practicals and fieldwork. Administrative Support Personnel The services of the administrative support staff are indispensable in the proper administration of the departments and faculty offices. These will normally include confidential secretaries, clerical officers, typists, messengers and cleaners. Technical Support Personnel The technical support personnel shall consist of technical officers and technologists. It is important to recruit very competent senior technical staff to maintain teaching and research equipment. Physical Facilities Spaces For the good administration of the programme, adequate facilities should be provided for the office of the Head of Department. The required minimum office space standards for the programmes are provided by the Commission in the relevant section of the BMAS. Spaces should be provided for the under listed facilities taking due cognizance of the minimum recommendation as presented in Table 5: 1. Office Accommodation; 2. Classroom Space; 3. Studio Space; 4. Seminar Rooms; 5. Drawing Offices; 6. Workshop Spaces; and 7. Library. Space Recommendations Space Use Minimum (m²) 2. Professors Office Academic 25 3. Head of Department Administration 30 4. Senior Lecturer Academic 12 Other ranks of academic 5. staff Academic 10 6. Senior Technical Staff Technical 12 7. Senior Administrative Staff Administration 12 8. Junior Technical Staff Technical 9 9. Junior Administrative Staff Administration 9 10. Studio Space Students 30 11. Lecture Space Students 75 12. Seminar Space Students 30 13. Laboratory Space Students 30 14. Library Students 35 15. Social Space Students 40 16. Storage Space Students 30 Staff- Student Common Room In order to promote both social and academic interaction among staff and between staff and students, there should be a common room of about 35(m²) equipped with a kitchenette where staff and students could interact in an informal atmosphere. Equipment Each Faculty/programme should be provided with requisite laboratories, studios and workshops with relevant equipment in relation to student population and variety of activities performed in each programme. To achieve the benchmark standards for any programme, there should be: 1. Well-equipped Computer lab with adequate desk top computers for students, including relevant computer software in each degree programme; 2. High speed Internet facilities for both staff and students; 3. A PC for each academic staff in his / her office with Internet facilities; 4. Multimedia Recording Devices (at least 4); 5. A Video recorder; 6. A video player; 7. A wide screen Television; 8. Overhead power-point, multi-media facilities; 9. Vehicle for field trips; and 10. Laboratories with diverse equipment to be provided with consumables in terms of chemicals, biological or ecological materials. to support the prescribed practicals. Library and information Resources Universities should leverage on available technology to put in place rich databases and other electronic/digital library and information resources. In addition, good stock of current hard copies of reference and other textual materials should be provided centrally at the level of the Faculty. A well networked digital library should serve the entire university community. Availability of wireless facilities (Wi-Fi) with adequate bandwidth should enhance access to these electronic resources.

The concept of air quality standards as levels of air pollutions prescribed by regulations that may not be exceeded during a specified time in a defined area. Air quality parameters: Air quality index (AQI) used by government agencies: Uses and types. The primary sources of information on air quality standards, criteria and policies: the relevant local, state and central organization that have a mandate for overseeing the air resources of the study area.: Air environmental setting; Air impacts; prediction of air impacts, impact assessment; and impact mitigation. Water quality as the chemical, physical, biological and radiological characteristics of water. The most common standards used to assess water quality: health of ecosystems, safety of human contact and drinking water. Setting standards: Role of agencies that make political and technical/scientific decisions about how the water will be used. Categories: the parameters for water quality and how they are determined by the intended user. Human consumption, industrial and domestic use of water, environmental water quality, and agricultural water quality.

Uses of computers in statistical computing. Introduction to various statistical packages. Use of statistical packages in solving problems in statistics. spread sheet applications. Such as SPSS, STATA, MINITAB. can be used to demonstrate statistical methodology.

Population and samples. Random sampling distributions, estimation (point and interval) and tests of hypotheses concerning population mean and proportion (one and two large sample cases). Regression and correlation. Elementary time series analysis.

The nature of statistical methods, Frequency distributions, measures of central tendencies – Mean, Mode and Media, Measures of Dispersion – Range, Variance, Standard deviation, Elementary Probability Theory, Binomial, Normal and Poisson Distributions. Sources of statistical data in Nigeria. Tests of Hypotheses; small sample tests – t - test, x2 – test and F – test; Regression analysis; Analysis of Variance; Time series analysis; Index numbers; Sources of Statistical Data in Nigeria.

The place of statistics in geography; Data description and characteristics; Discrete and continuous variables, Data Scales, Frequency distributions and graphical presentation; Measures of central tendency and variability. Methods of sampling; spatial sampling, description of point patterns; nearest neighbour analysis.

Measures of central tendency and dispersion (grouped and ungrouped): mean-arithmetic, geometric, median, mode, qualities, deciles and percentiles. Empirical relation between means, median, and mode relationship and absolute dispersion. Simple space and events as sets. Finite probability space; properties of probability statistical independence and conditional probability. Tree diagram. Bayes theorem. Discrete and continuous random variables. Expectation. Independent Bernoulli trails. Binomial passion and normal distributions. Normal approximation to binomial and Poisson distributions. Hyper geometric.

Measures of Central Tendency and Dispersion (Grouped and Ungrouped): Mean-Arithmetic, Geometric, Median, Mode, Qualities, Deciles and Percentiles. Empirical Relation between Means, Median, and Mode, their Relationship and absolute Dispersion. Simple Space and Events as Sets. Finite Probability Space; Properties of Probability Statistical Independence and Conditional Probability. Tree Diagram. Bayes Theorem. Discrete and Continuous Random Variables Expectation. Independent Bernoulli Trails. Binomial Passion and Normal Distributions. Normal Approximation to Binomial and Poisson Distributions. Hyper Geometric.