CCMAS Course Search

Build your understanding of the key foundation elements; activity areas and processes of project delivery within any project management environment. The generic tools and techniques used in project delivery, the different project management methodologies from traditional methods like waterfall to more conventional delivery methods such as agile.

Definition of estimating. Who is an estimator? Functions of an estimator and requirements of an estimator. Purposes of estimating; Types of estimating: preliminary estimating, approximate estimating and detailed estimating. Methods of estimating: Single rate estimate and range estimate. Processes involved in the detailed estimating method: materials, labour – all-in-rate for labour, plant – all-in-rate for plant, overhead and profit. Processes involved in the detailed estimating method: materials, labour – all-in-rate for labour, plant – all-in-rate for plant, overhead and profit. Introduction to construction procurement and contractual arrangements in the construction industry. Tendering and the tendering process: definition, types of tendering, objectives of tendering, the role of different parties involved in tendering, Nature and type of tender documents: Tendering procedure in selecting a suitable contractor and Factors for consideration in selection of appropriate contractor.

Comparison between estimate and tender, the purpose of tender adjudication, derivatives of cost library for construction works and sources of estimating data: Factors affecting determination of tender sum of construction work. Procedure for estimating unit rates for building projects and determination of labour constants, survey of basic prices of building materials and plant items.

Factors affecting supply and demand for land and buildings. Principles of investment. Stocks and shares. Interest rates and investment yields, the property market methods of valuation. Factors affecting demand and supply of land and buildings of various uses. Outgoings and the different letting arrangements: FRI, IRI. of leases and tenancies. Income patterns and variations. Property valuation process/procedure generally, and of the different methods of valuation: Direct market price comparison, replacement cost. Profit/accounts, and land residual methods. Sources of data for valuation.

Analysis of sales and letting of freehold and leasehold property, use of valuation tables. Effect of income tax on sinking fund, premiums, surrender and renewals of leases. Investment/ income method of valuation approaches: term and reversion, hard-core; traditional/conventional (initial/all-risks yield cum fixed annuity capitalization), modern/contemporary (equated yield cum variable annuity capitalization). Determination of freehold and leasehold investment/initial/all-risk yield: analysis of transactions involving sales and lettings of comparable freeholds let at rack/full rental value. Virtual/sitting rent calculations. Valuations involving freehold currently let at full rental value (FRV) on full repairing and insuring (FRI) basis and currently not let at FRV and not on FRI basis. Valuations involving deferred receipts and payments, and varying incomes. Effects of capital expenditure and present and future premium payments on rental values and valuations associated therewith. Valuations of leaseholds: long and short terms. Effects of income tax on freehold and leasehold valuations and adjustment to the year’s purchase. Applications of statistics and computer techniques in valuation.

Family medicine tools. Comprehensive and coordinated care. Patient centered approach. Primary care management. Community oriented care. Biopsychosocial dimensions of holistic care Communication and interview skills. Interrelation of curative and preventive care. The place of the family physician in the national health system. Family health beliefs and practices. Two-way referral system. The NHIS cost of health care to the family. Home visits.

The structure of medical services. Voluntary agencies. Private organisations and their inter- related nature. Medical administration in hospitals and other health services. Private practice management. Budgeting, accounting, and health financing. Personnel management, the “health team”. Medical records, health I family life cycle transitions. Computers in primary care. Medical problem solving algorithm. The family in different cultural contexts. Palliative care service available in Nigeria and abroad. Alternative medical practice, a critical review. Attachment to an accredited GP. Medico-legal matters and code of ethics.

Sample space; algebra of sets and events; axiomatic definition of probability and independence; Bayes theorem; Random variables and their distributions; Moment; Cumulant and Probability Generating functions; Some special distributions and their properties; Multivariate continuous distribution: Marginal and Conditional Distribution; Distribution functions of random variables and some derived distributions; Limiting theorems and limiting distributions; Elements of stochastic processes

Experiments, sample spaces, outcomes and events. Generation of Statistical events from set theory (Venn diagrams). Concepts and principles of Probability (probability axioms). Random variables. The Law of Total Probability, Bayes’ Theorem, Independence. Permutation and Combination. Introduction to Probability and distribution functions. The probability density function. Basic distributions: Bernoulli Trials, Binomial, Hyper geometric, Poisson, and Normal. Exploratory data analysis. Combinatorial analysis. Probability models for the study of random phenomena in finite sample generating functions and its properties. Chebyshev’s inequality and limit theorems in probability. Central limit theorem. Bivariate, marginal and conditional distributions. Variance and covariance. Probability mass function. Geometric distribution. Sampling with and without replacement. Hypergeometric distribution. Bounding probabilities, tail sum formula. Markov’s inequality. The exponential distribution, moments, memoryless property, hazard function. Definition of a Markov chain and probability transition matrices. Equilibrium behaviour of Markov chains: computer demonstration and ergodic, limiting and stationary interpretations. Mean and variance of linear combination of two random variables. The joint Moment generating function (MGF) and MGF of the sum. Definition of absorbing Markov chains, structural results, hitting probabilities and expected hitting times.

Introduction to measure theoretic probability; derivation and transformation of probability distributions; generating functions and characteristic functions; conditional expectation; sufficiency; and unbiased estimation; methods of large sample theory including laws of large numbers and central limit theorems; order statistics