CCMAS Course Search

Chemical engineers must have an appreciation of the accuracy and reliability of measurements. This course provides a broad introductory knowledge of statistical techniques used in data analysis. It also seeks to link the measurement of various quantities with statistics to enable the analysis of the accuracy of the measurements. Statistical inference intervals, tests hypothesis and significance. Regression and correlation. Introduction to big data analytics and cloud computing applications. Students to have weekly or fortnightly computer laboratory-based assignments. 300 Level

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.

Data design; coding of transformation errors in observations; parametric and non-parametric tests; design experiments regression analysis; sample survey; growth functions; Sample surveys and design of questionnaires

History of secret writing. An overview of steganography. Introduction to steganography - Definition of steganography. Why is steganography important? Steganography vs. Encryption. Uses of steganography. Problem of steganography. Steganography applications and methods. Steganography types and methods - text steganography, images steganography, video and audio steganography. Steganography techniques. Survey of different steganography techniques for encrypting the data. Information hiding: steganography and steganalysis. Data hiding methods, techniques and access methods. Requirements for data hiding. Steganography and Business - the basics of embedding, different aspects in information- hiding systems. Steganographic algorithm. Security of a steganographic algorithm. Steganography detection, finding images, and verifying hidden content. Research and practical experimentation of data hiding tools. Research on investigation techniques and the latest countermeasures. Lab work: Practice secret writing using different methods and tools. Learn how to use steganography methods and techniques for encrypting the data. Master data hiding methods, techniques and access methods using case study exercises. Write samples steganography algorithm and secure the algorithm. Detect elements of steganography, finding images, and verifying hidden content in a given text, image, audio and video samples.

Classification of stochastic processes; Random walk models; markov chains; inventory model; branching processes; Poisson; birth-and-death processes; Waiting time models; Estimation problems

Bio-taxonomy and ecology of insect pests of crops and stored products in the tropics; with particular emphasis on West Africa; Techniques for screening stored products for infestation; Prediction of pest outbreaks; The chemistry of pesticide action; Principles and techniques of pest control for arable crops; plantation crops and stored products

Overview of requisites for normal binocular vision. Incidence and classification of strabismus and amblyopia. Neuro-physiological basis for binocular vision. Causes of strabismus and amblyopia. Adaptive conditions commonly associated with strabismus. Clinical characteristics of eyes with amplyopia. Routine examination of strabismus patients and anisometropic amblyopes. Clinical work is included. Techniques learned in theory lectures are practiced with basic instrumentation.

Techniques and skills of Corporate Planning. Field exercise in one real-life health organisation in Nigeria. Empirical studies or works toward investigating the relationship between corporate planning and organisational effectiveness. Background concepts including strategy, mission, goals and objectives, long range planning, tactical operational planning. Definitions of planning and health care system. Purpose of health care system, planning process and planning problems of health care system issues, basic conceptual frame work of health care system planning (Green’s stage hypothesis). Development of mission statement. Setting goal and objective and management by objective, including policy formulation. Implementation, monitoring and evaluation. Holistic approach to the changing corporate terrain of Hospital as a Business entity. A balanced coverage of internal and external environments. Global view and multidisciplinary perspective of the hospital business world. Formal planning and identification of hospitals capabilities and timely strategies. Integrative learning experience to develop strategic environment, knowledge and skills. Key elements in strategy, concepts and theories. Overview of corporate policy and strategy analysis, the relationship between the hospital and its environment, strategic choice, the link between strategy and organisation of strategic change. Illustration of the strategic management process with a wide variety of practical examples. Strategy and strategic management. Strategic management processes formality in strategic management process, strategic management pyramid/model. Strategy versus other types of planning for public and non-profit organisations. Environmental scanning, internal analysis and position assessment. Mission statement, strategy formulation, strategic thinking and strategic systems in the health sector.