David O Omole
Dr. David Omole, an Associate Professor of Water Resources and Environmental Engineering, completed his Master’s and Ph.D degrees at Covenant University in 2006 and 2011 respectively. In addition, he holds a Bachelor’s degree in Civil Engineering and a Master of Public Administration from FUT Akure and |Ekiti State University respectively. His research is focused on water quality modeling, water treatment, solid waste management, and environmental laws and management. As a researcher of international repute, David has several publications in highly rated journals; won international awards; and presented papers at conferences within Africa, North America, and Europe. He has over forty-five (45) publications, comprising of journal articles, books, chapters in books, conference proceedings, and technical reports. In 2014, David had a one-year stint as a postdoctoral research fellow at Tshwane University of Technology, Pretoria, South Africa. Awards won by him include the International Foundation for Science (IFS) research grant from Sweden (Grant Ref: W/4852-1) in 2009; Knowledge, Interchange and Collaboration (KIC) Travel Grant, from the National Research Foundation, South Africa (Grant No: UID: 90988) in 2014; and Travel and accommodation grant from the German Development Institute in 2015. David is a passionate teacher and has supervised both undergraduate and postgraduate student projects. He is a corporate member of the Nigeria Society of Engineers (NSE) and COREN (Council for the Regulation of Engineering in Nigeria) certified. He is happily married to Folasade and they are blessed with three sons.
Supervisors: Prof. Ezechiel O. Longe, prof. Ife Adewumi
Phone: 0117177126
Address: 1, Jan Smuts Avenue, Braamfontein, Johannesburg, South Africa.
Supervisors: Prof. Ezechiel O. Longe, prof. Ife Adewumi
Phone: 0117177126
Address: 1, Jan Smuts Avenue, Braamfontein, Johannesburg, South Africa.
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Papers by David O Omole
of undergraduates admitted into engineering programs at Cove-
nant University, Nigeria. The population distribution of 2649 candidates admitted into Chemical Engineering, Civil Engineering,
Computer Engineering, Electrical and Electronics Engineering,
Information and Communication Engineering, Mechanical Engineering, and Petroleum Engineering programs between 2002 and
2009 are analyzed by gender, age, and state of origin. The data
provided in this data article were retrieved from the student bio-
data submitted to the Department of Admissions and Student
Records(DASR) and Center for Systems and Information Services
(CSIS) by the candidates during the application process into the
various engineering undergraduate programs. These vital information is made publicly available, after proper data anonymization, to facilitate empirical research in the emerging field of
demographics analytics in higher education. A Microsoft Excel
spreadsheet file is attached to this data article and the data is
thoroughly described for easy reuse. Descriptive statistics and
frequency distributions of the demographic data are presented in
tables, plots, graphs, and charts. Unrestricted access to these demographic data will facilitate reliable and evidence-based
research findings for sustainable education in developing countries.
undergraduate students in Science, Technology, Engineering and
Mathematics (STEM) disciplines in Covenant University, Nigeria.
The data shows academic performances of Male and Female students
who graduated from 2010 to 2014. The total population of
samples in the observation is 3046 undergraduates mined from
Biochemistry (BCH), Building technology (BLD), Computer Engineering
(CEN), Chemical Engineering (CHE), Industrial Chemistry
(CHM), Computer Science (CIS), Civil Engineering (CVE), Electrical
and Electronics Engineering (EEE), Information and Communication
Engineering (ICE), Mathematics (MAT), Microbiology (MCB),
Mechanical Engineering (MCE), Management and Information
System (MIS), Petroleum Engineering (PET), Industrial PhysicsElectronics and IT Applications (PHYE), Industrial Physics-Applied Geophysics (PHYG) and Industrial Physics-Renewable Energy
(PHYR). The detailed dataset is made available in form of a Microsoft Excel spreadsheet in the supplementary material of this
article.
the academic performances of undergraduates that studied engineering programs at Covenant University, Nigeria are presented and analyzed. A total population sample of 1841 undergraduates that studied Chemical Engineering (CHE), Civil Engineering (CVE), Computer Engineering (CEN), Electrical and Electronics Engineering (EEE), Information and Communication Engineering (ICE), Mechanical Engineering (MEE), and Petroleum Engineering (PET) within the year range of 2002-2014 are randomly selected. For the five-year study period of engineering program, Grade Point Average (GPA) and its cumulative value of each of the sample were obtained from the Department of Student Records and
Academic Affairs. In order to encourage evidence-based research in learning analytics, detailed datasets are made publicly available in a Microsoft Excel spreadsheet file attached to this article. Descriptive
statistics and frequency distributions of the academic performance data are presented in tables and graphs for easy data interpretations. In addition, one-way Analysis of Variance (ANOVA) and multiple
comparison post-hoc tests are performed to determine whether the variations in the academic performances are significant across the seven engineering programs. The data provided in this article
will assist the global educational research community and regional policy makers to understand and optimize the learning environment towards the realization of smart campuses and sustainable education.
of undergraduates admitted into engineering programs at Cove-
nant University, Nigeria. The population distribution of 2649 candidates admitted into Chemical Engineering, Civil Engineering,
Computer Engineering, Electrical and Electronics Engineering,
Information and Communication Engineering, Mechanical Engineering, and Petroleum Engineering programs between 2002 and
2009 are analyzed by gender, age, and state of origin. The data
provided in this data article were retrieved from the student bio-
data submitted to the Department of Admissions and Student
Records(DASR) and Center for Systems and Information Services
(CSIS) by the candidates during the application process into the
various engineering undergraduate programs. These vital information is made publicly available, after proper data anonymization, to facilitate empirical research in the emerging field of
demographics analytics in higher education. A Microsoft Excel
spreadsheet file is attached to this data article and the data is
thoroughly described for easy reuse. Descriptive statistics and
frequency distributions of the demographic data are presented in
tables, plots, graphs, and charts. Unrestricted access to these demographic data will facilitate reliable and evidence-based
research findings for sustainable education in developing countries.
undergraduate students in Science, Technology, Engineering and
Mathematics (STEM) disciplines in Covenant University, Nigeria.
The data shows academic performances of Male and Female students
who graduated from 2010 to 2014. The total population of
samples in the observation is 3046 undergraduates mined from
Biochemistry (BCH), Building technology (BLD), Computer Engineering
(CEN), Chemical Engineering (CHE), Industrial Chemistry
(CHM), Computer Science (CIS), Civil Engineering (CVE), Electrical
and Electronics Engineering (EEE), Information and Communication
Engineering (ICE), Mathematics (MAT), Microbiology (MCB),
Mechanical Engineering (MCE), Management and Information
System (MIS), Petroleum Engineering (PET), Industrial PhysicsElectronics and IT Applications (PHYE), Industrial Physics-Applied Geophysics (PHYG) and Industrial Physics-Renewable Energy
(PHYR). The detailed dataset is made available in form of a Microsoft Excel spreadsheet in the supplementary material of this
article.
the academic performances of undergraduates that studied engineering programs at Covenant University, Nigeria are presented and analyzed. A total population sample of 1841 undergraduates that studied Chemical Engineering (CHE), Civil Engineering (CVE), Computer Engineering (CEN), Electrical and Electronics Engineering (EEE), Information and Communication Engineering (ICE), Mechanical Engineering (MEE), and Petroleum Engineering (PET) within the year range of 2002-2014 are randomly selected. For the five-year study period of engineering program, Grade Point Average (GPA) and its cumulative value of each of the sample were obtained from the Department of Student Records and
Academic Affairs. In order to encourage evidence-based research in learning analytics, detailed datasets are made publicly available in a Microsoft Excel spreadsheet file attached to this article. Descriptive
statistics and frequency distributions of the academic performance data are presented in tables and graphs for easy data interpretations. In addition, one-way Analysis of Variance (ANOVA) and multiple
comparison post-hoc tests are performed to determine whether the variations in the academic performances are significant across the seven engineering programs. The data provided in this article
will assist the global educational research community and regional policy makers to understand and optimize the learning environment towards the realization of smart campuses and sustainable education.