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BRIDGE BRIDGE Diaspora BRIDGE

Courses with Gaps

BRIDGE's partner institutions have flagged these courses as needing diaspora expertise. Browse the list below and express interest in teaching a course to start the conversation with the institution.

197
Courses with Gaps
10
Faculties
168
Programmes
Faculty: Environmental Sciences × Programme: B.Sc./B.Tech. Quantity Surveying × Clear all filters
Showing 1–2 of 2 courses
PHY 107 1 2 institutions need this
Environmental Sciences  ·  B.Sc./B.Tech. Quantity Surveying
On completion of the course, the Student should be able to: 1. conduct measurements of some physical quantities; 2. make observations of events, collect and tabulate data; 3. identify and evaluate some common experimenta...
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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.
STA 212 3 1 institution need this
Environmental Sciences  ·  B.Sc./B.Tech. Quantity Surveying
At the end of this course, students should be able to: 1. Be able to understand the Statistics systems and explain the Nature, types, sources, methods of collection and problem of official statistics; 2. Be able to compu...
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Statistics systems. Nature, types, sources, methods of collection and problem of official statistics. Index numbers, theory, construction and problems. Descriptive statistics. Basic principles of probability; discrete and continuous random variables (binomial, normal, t, chi-square, Poisson, other univariate distributions); joint distributions; sampling distributions; central limit theorem; properties of estimators; linear combinations of random variables; testing and estimation; maximum likelihood principle, basics of hypotheses testing. Socio-economic indicators: nature, types, uses and computation. Nature, sources, contents and problems of official statistics in selected sectors.
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