This paper examined the uses of computer and its relevance to teaching and learning in Nigerian secondary schools. The need for computer education and its objectives in Nigerian educational system were identified and discussed. The roles the classroom teachers would play and the challenges they would have to face in using computer for instruction were also highlighted. Possible solutions were suggested to ensure successful implementation of computer education programme in Nigerian secondary schools.

Metaheuristic algorithms have proved to be good solvers for the traveling salesman problem (TSP). All metaheuristics usually encounter problems on which they perform poorly so the programmer must gain experience on which optimizers work well in different classes of problems. However due to the unique functionality of each type of meta-heuristic, comparison of metaheuristics is in many ways more difficult than other algorithmic comparisons. In this paper, solution to the traveling salesman problem was implemented using genetic algorithm and simulated annealing. These algorithms were compared based on performance and results using several benchmarks. It was observed that Simulated Annealing runs faster than Genetic Algorithm and runtime of Genetic Algorithm increases exponentially with number of cities. However, in terms of solution quality Genetic Algorithm is better than Simulated Annealing. General Terms

Stock market returns are predictable from a variety of financial and macroeconomic variables and have long been an attraction for equity investors. Recently increasing attention has shifted on the market index as a method of measuring a section of the stock market. The stock market index is regarded as an important indicator by the investing public at large and can be used as a benchmark by which investor or fund manager compares the returns of their own portfolio.In this study, attempts are made to model the Nigerian stock market index using a structural model. The procedure is based on the relationship between the state space and the autoregressive moving average (ARMA) model. The time series procedure from S-PLUS software is used in the analysis. The result obtained shows that the Nigerian stock market price index is an autoregressive model (AR) of order 1. It is also found that the AIC is at minimum at lag 1which corresponds to the same model identified for the series by using the sample ACF and PACF.

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The need for information continually necessitates the gathering and analysis of data. Information is generated from data supplied by individuals and as much as individuals are willing to supply their data, they are much more concerned about their privacy. Anonymization was initially thought of to providing the needed privacy but was discovered that anonymization is prone to linkage attack. This research work investigated differential privacy as a better data privacy method by analyzing three differential privacy mechanisms; the Laplace mechanism, exponential mechanism, and the median mechanism. In this study, epsilon was used as the privacy parameter. The smaller the epsilon value is indicates a greater privacy level and a lower accuracy level of information and vice versa. Researchers tend to use smaller epsilon value as researchers are much more concerned about privacy but industrial counterparts are more concerned about information accuracy. Epsilon value is therefore generated at random depending on whether privacy or accuracy is the major point of focus. Laplace mechanism was implemented in this research work using epsilon generating model that depends on the data set. The results from this research shows an improvedgenerated epsilon value that ensures privacy while maintaining accuracy of information.