CCMAS Course Search
Browse BRIDGE's courses under the National Universities Commission's Core Curriculum Minimum Academic Standards (CCMAS) — Nigeria's unified benchmark curriculum for every accredited program. Search by course title, code, faculty or programme to see full descriptions, learning outlines and credit-hour loads.
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BOT 800
2
A candidate for the M.Sc.
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A candidate for the M.Sc; degree will be required to present a seminar on a topic selected from within the study area before the Departmental Postgraduate Committee; The performance of a candidate shall be evaluated for the award of marks by a panel selected by the Departmental Postgraduate Committee; Apart from the oral presentation; the seminar shall be typewritten; soft-bound and submitted to earn credit
ZOO 803
2
This involves a critical review of current literature in specific areas of specialization.
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This involves a critical review of current literature in specific areas of specialization; Each student is expected to write and make an oral presentation on a topic in his/her area of specialization and must participate in all departmental seminars
BTE 805
2
Designed to give practice in critical reading of research articles in journals and in the oral and visual presentation of scientific information.
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Designed to give practice in critical reading of research articles in journals and in the oral and visual presentation of scientific information
CSC 804
3
Software engineering and its place as an engineering discipline.
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Software engineering and its place as an engineering discipline; Life cycle of software system: Requirements analysis; development; operation and maintenance; Software metrics: Portability; Re-usability; Correctness; Reliability; Efficiency; Usability; Integrity; Maintainability and Flexibility; Software quality and testing; Software architecture: architecture description languages; pattern-oriented software architecture; component-based development; distributed software architecture using middleware; enterprise application integration; architecture for mobile and pervasive systems and model driven architecture; Advanced modelling: UML extension mechanisms; object constraint language and model checking; Software project management: Study of interpersonal process decision making styles; problem solving concepts and procedures; creative effort; conflict resolution; leadership and assessment; Concepts of motivation; team work and group dynamics; Software engineering and law: intellectual property law; professional ethics and code of conduct; Patents; trademarks; copyright; trade secrets; privacy and confidentiality; contracts and licensing; government regulations; global legal issues including Internet law and cyber crime; Overview of Open Source Software
GLY 818
3
Engineering classification of rock and soils.
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Engineering classification of rock and soils; Weathering and weathering factors; Weatherability of minerals; Soil types; Structures and textures in rocks and soils; Clay minerals types; structures; identification and influence on soil properties; Stress and strain in 2 and 3 dimensions; Representation of stress and strain; Theories of elasticity and plasticity; Stress fields and their measurements; criteria of failure and yield; Classification of soils; Flow of water in soil - steady state and transient conditions; Shear strength and its measurement; Limiting conditions in a semi-infinite space; Soil properties and their measurement; Earth pressures; Bearing capacity; Physical Properties of rock; Measurement of Stress/Strain in the laboratory and in the field; Planes of weaknesses
BST 816
3
Sources of starch.
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Sources of starch; Chemical composition and structure; Physico-chemical modification and degradation of starch; Enzymic degradation of starch; Fermentation products from starch; The technology of corn wet milling; Other products that can potentially be prepared from starch e.g; glucose syrups and flakes; fuels; alcohols; organic acids; penicillins; enzymes; amino acids and microbial polysaccharides
STA 806
3
The design and use of existing statistical software; methods of simulation of random processes; numerical methods of fitting linear models; multivariate analysis; methods for nonlinear modeling.
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The design and use of existing statistical software; methods of simulation of random processes; numerical methods of fitting linear models; multivariate analysis; methods for nonlinear modeling; Introduction of key aspects of statistical consulting and data analysis activities; report writing and presentation