Browsing by Author "Sulaiman, Alhaji Ismaila"

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    Basics of Computer Programming Java in Theory and Practice
    (Department of Computer Science, Nasarawa State University Keffi, 2020-05-05) Mustapha, Ahmed U.; Salihu, Abdullahi A.; Anyachebelu, Tochukwu Kene; Kefas, Yunana; Sulaiman, Alhaji Ismaila
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    Impact of Border Closure in Nigeria: Pains and Gains
    (Department of Economics, Nasarawa State University, Keffi., 2021-12-23) Ibrahim, Abdul; Salihu, Habibu Muhammed-Gani; Musa, Sale Ibrahim; Sulaiman, Alhaji Ismaila
    This paper analyzes impact of border closurein Nigeria. The study adopted a survey research design. Primary data was used which was obtained through the administration questionnaire. Several threats to Nigeria that lead to the consideration of border significant impact on Nigeria's infant firms, a coordinated terrorist attack or raising insecurity, smuggling and illegal immigration. The results shows that rice imports banned through land borders, and the economic •"^relationship between the two countries, both members of the Economic Community of West African States (ECOWAS), is already asymmetric, with Nigeria exerting much more influence on Benin than vice versa. The result also shows that given Nigeria's larger population, economy, and natural resource wealth, Benin has adopted a strategy centered on being "entrepot state," i.e., serving as a trading hub, importing goods and re-exporting them legally but most often illegally to Nigeria, thus profiting from distortions in Nigeria's economy.lt was concluded that if a country is trying to grow strong in a new industry, tariffs protect it from foreign competitors and this will give the new industry time to develop their own comparative advantage as well as temporarily creates jobs for domestic's workers in Nigeria.
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    Instrument for modeling optimization problems-solving process: implication for / mathematical expression
    (Department of Educational Foundation, Nasarawa State University Keffi., 2019-03-22) Allahnana, Kwanza Maikudi; Sulayman, Muhammed B; Sulaiman, Alhaji Ismaila
    This paper is in qualitative in nature through which it investigated the instrument for modeling problem-solving process with an implication for Mathematical Expression. Most real world problems solving are concerned with maximizing or minimizing some quantity so as to optimize some outcome. Calculus is the principal "instrument" in Finding the best solutions to these practical problems solving. The implications of mathematical^expressLoii of optimization problem-solving consists of a set of variables that describe the state onhe'systehiTcdnstrainTs that'determine the stales that are allowable, external input parameters and data, objective function that provides an assessment of how well the system is functioning. The important step in the optimization process is classifying as optimization model, since algorithms for solving optimization problems are tailored to a particular type of problem. Some models only make sense if the variables take on values from a discrete set, often a subset of integers, whereas other models contain variables that can take on any real value. Models with discrete variables are discrete optimization problems solving process; models with continuous variables are continuous optimization problems solving process. Continuous optimization problems solving tend to be easier to solve than discrete optimization problems; the smoothness of the functions means that the objective function and constraint function values at a point xcan be used to deduce information about points in a neighborhood of x. The paper further highlight instrument for modeling optimization problems-solving process, steps in the optimization problem-solving process with an implication for Mathematical Expression.
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    Introduction to Computer Science A beginner’s Guide to Computing
    (Department of Computer Science, Nasarawa State University Keffi, 2020-03-03) Salihu, Abdullahi A.; Mustapha, Ahmed U.; Anyachebelu, Tochukwu Kene; Kefas, Yunana; Sulaiman, Alhaji Ismaila
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    Portfolio Management: Allowing Short Selling Using the Lagrange Multiplier Method in R
    (Department of Statistics, Nasarawa Sate University Keffi., 2019-03-29) Nweze, N.O.; Chaku, Shammah Emmanuel; Adehi, Mary Unekwu; Sulaiman, Alhaji Ismaila
    In this study, an inquest was carried out into the portfolio theory using historical prices of three stocks Astrazeneca Limited (AZN.L), British Telecommunications (BT-A.L) and United Utilities (UU.L) from the dates 2nd of January, 2018 to 31st of December, 2018. The data set was combined and edited leaving only the trading dates (Volume>0) in chronological order. The price of each stock was plotted against the trading days, the daily net returns for each stock and estimates of the mean, standard deviation and correlation between stocks were obtained. A graph of the efficient frontier and minimum variance portfolio was plotted after which the lagrange multiplier method was employed allowing short selling to decide how to invest in these assets to achieve a reasonable target return. Correlations between stocks were obtained and it was observed that stock prices of the Telecommunications and Water companies are more correlated, probably due to the fact that their products are consumed more regularly. The bold part of the efficient frontier plot indicates the efficient frontier, while the leftmost part of the curve is the Minimum Variance Portfolio (MVP) obtained with the help of the Lagrange multiplier method. Finally, Astra stocks was short and monies re- invested in BT and United Utilities.