Browsing by Author "Kifanyi, Gislar E."

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    Comparative Study of Bachelor of Civil Engineering Curricula in Higher Learning Institutions in Tanzania: A Systematic Review
    (IISTE, 2021-10-31) Mhando, Yusuph B.; Kifanyi, Gislar E.
    This paper compares the curricula of Bachelor degree in the field of civil engineering. This helps improving the quality of curriculum that generates demand driven engineering graduates with an equal competency in the context of labour market. Descriptive survey was adopted, and a checklist of courses from purposively selected higher learning institutions was used. Constant comparative analysis to categorize types of information investigated was adopted. Findings indicate that Bachelor degree programme in civil engineering at Dar es Salaam Institute of Technology (DIT), Mbeya University of Science and Technology (MUST) and St. Joseph College of Engineering and Technology (SJCET) has duration of 3 or 4 years depending on the entry qualification of the student, whereas at Arusha Technical College (ATC) it takes 3 years to complete the programme. On the other hand, inconsistency on the number of courses and academic loads offered in these institutions was revealed. The study suggests a joint development of curricula for training programmes. This could help trainers, researchers, curricula developers and policy makers to harmonize and minimize discrepancies of the curricula contents of the same programme offered in different institutions.
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    Comparative Study of Bachelor of Civil Engineering Curricula in Higher Learning Institutions in Tanzania: A Systematic Review
    (IISTE, 2021) Mhando, Yusuph B.; Kifanyi, Gislar E.
    This paper compares the curricula of Bachelor degree in the field of civil engineering. This helps improving the quality of curriculum that generates demand driven engineering graduates with an equal competency in the context of labour market. Descriptive survey was adopted, and a checklist of courses from purposively selected higher learning institutions was used. Constant comparative analysis to categorize types of information investigated was adopted. Findings indicate that Bachelor degree programme in civil engineering at Dar es Salaam Institute of Technology (DIT), Mbeya University of Science and Technology (MUST) and St. Joseph College of Engineering and Technology (SJCET) has duration of 3 or 4 years depending on the entry qualification of the student, whereas at Arusha Technical College (ATC) it takes 3 years to complete the programme. On the other hand, inconsistency on the number of courses and academic loads offered in these institutions was revealed. The study suggests a joint development of curricula for training programmes. This could help trainers, researchers, curricula developers and policy makers to harmonize and minimize discrepancies of the curricula contents of the same programme offered in different institutions.
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    Evaluation of CORDEX Africa multi-model precipitation simulations over the Pra River Basin, Ghana
    (ELSEVIER, 2021) Gyamfi, Charles; Tindan, Jacob Z.; Kifanyi, Gislar E.
    tudy region: Pra River Basin (PRB) located in Ghana Study focus: Now, hydrological and climate change impact studies are shifting towards reliance on openly accessible databases particularly for regions with limited observed datasets. There is therefore the need to evaluate the reliability of such datasets in order to reduce modelling un certainties and boost confidence in modelling results. We present an evaluation of the perfor mance of nine CORDEX RCA4 Regional Climate Model simulations in replicating the observed precipitation for a 31-year period (1975–2005). New hydrological insights for the region: On the annual timescale, CanESM2, IPSL, CNRM-CM5 and HadGEM2-ES reproduced minimal annual mean biases (0.8–18.4 %) and thus selected for the seasonal and monthly timescale analysis. Generally, with the exception of spring (March, April and May), all the selected models were able to simulate quite well the seasonal climatology of the Pra River Basin (PRB) with noticeable distinctions in the reproducibility of the spatial patterns, variability and magnitude of the observed data. The multi-model ensemble means indicated strong correlation with observations (r > 0.75) but with weak spatial variability ( σ <0.25). It is recommended that for climate impact assessment and hydrologic modelling studies, multi-model ensembles of CanESM2, IPSL, CNRM-CM5 and HadGEM2-ES be used. However, on singular basis, the CanESM2 and HadGEM2-ES RCA4 simulation outputs present better representation of the climate of the basin.