CCMAS Course Search

The development of quality concepts: quality assurance, quality control, statistical quality control, the total quality management concept, quality management; General principles of quality management processes. ISO concepts for quality. Development of quality standards in construction; the client and his brief, Quality management during construction stage; Builder’s role of integrating designers’ inputs; achieving quality in the finished project through the process, Builders’ responsibility for quality. Development of quality management plan for a project. Site management responsibilities in quality management. Inspections and testing materials and construction processes. Handling corrective actions. Assessment of quality craftsmanship of artisans and craftsmen. Establishment of quality Records for a project. Quality tests, site project reports, and carrying out early warning systems. Building management monitoring and control from inception to completion to ensure quality project. At the end of this course, the student will utilize knowledge gained to develop project quality management Plan for any particular project.

Introduction: Drug – receptor interaction; affinity and [intrinsic activity; occupancy theory; Rate Theory; Drug receptor interactions; law of mass action, enzyme-substrate interaction. dose- response relationship – Graphical and Derivation of receptor affinity PD2; Competitive Antagonism. The Gaddum-Schild Equation for Affinity constant of competitive antagonists; Non-competitive antagonism, Partial agonist; Competitive non-competitive antagonism. Pharmacodynamic prediction from pharmacokinetic data (one compartment model). Receptor desensitisation, Mechanisms of Post-receptor transduction. Introduction to Biostatistics, Normal distribution, Mean probit transformation, standard Deviation and standard Error. T-tests paired and unpaired, chi- square Test, Analysis of variance, Poisson Distribution. Physiology and Pharmacology courses are the minor and major courses in a BSc Pharmacology programme worldwide. Students must therefore be well grounded in them upon graduation to be able to pursue a successful career. Physiology provides the theoretical basis of normal body function while pharmacology explains how drugs and chemicals exert correction in situations of altered physiology. These two courses transverse all organs/systems of the human body and span 200 to 400 Levels of the BSc Pharmacology programme.

Estimate of current population characteristics and factors used in forecasting. Methods of population forecasting, trend projection, regression, ratio and apportionment, migration and natural increase growth composition analysis, metric of framework and allocative forecasting methods. Introduction to quantitative method, time series analysis, regression analysis, index numbers, linear programming and transportation network. Analysis of variance, scaling techniques, types of scales, social distance, social-metric measurement. Frequency distribution, comparism and complex tables. Statistical tests of hypothesis, mathematical models used in town planning simulation models, headship rate model, gravity model, rent model and demands models.

Review of descriptive and basic inferential techniques. Hypothesis testing. Bivariate linear correlation and regression. Analysis of variance. Multiple liner correlation and regression. Principal components and factor analysis. Forecasting techniques. Possibilities and limitations in planning practice and research.

Introduction to descriptive and inferential statistics, parametric and non-parametric tests; Survey design and sampling techniques, Elementary statistical analysis of spatial patterns.

Introduction to models and their testing, Advanced statistical techniques, Inferential Statistics; qualitative data analysis, spatial data analysis. Introduction to statistical behavioural models. Use of statistical software (SPSS, EPI INFO, MINITAB, STRATA, eVIEW) in analyzing Geographic data.

Interactions of a point particle; Symmetries and conservation laws; fundamental invariants; energy-momentum tensor; Neother's theorem; Green's functions; Radiations; Relativistic Wave equations: the Klein-Gordon equation; Dirac equation and the Weyl equation; Dirac propagator; Quantization of fields: scalar field charged scalar field; quantized radiation field; massive vector fields; Interaction with external fields: emission probabilities; Compton effect; Pair creation and annihilation; Bremmstrahlung etc; perturbation theory; Feynman rules; Feynman diagrams; Radiative corrections and renormalization: vacuum corrections; electron propagator; vertex functions; the Lamb shift; the anomalous magnetic moment; Functional methods; Introduction to Gauge Field theories

Background of the axiomatic approach to Nul et al; Axioms of continuum and Basic Concepts; Constitutive Relations; Equations of Motion and other Equations of Balance; The place of the Classical Theories

Schrodinger equations; Stone's Theorem and its applications; Unitary transformations: Heisenberg representation: Measurement: Quantum Theory of Scattering; Angular Momentum; Motion in an external field; Base and Fermi Statistics: Perturbation Theory

Fundamental of quantum mechanics-operators in Hilbert Space; basic axioms; Matrix formulation of quantum mechanics - state vectors; observables; equations of motion; Approximation methods in quantum mechanics; Many-electron systems; Scattering theory; Relativistic theory