Academic performance data of undergraduate students׳ in 23 programmes from a private University in Nigeria

The quality of teaching and learning in higher education in many developing countries can be improved as institutions in this region adopt evidence-based practices that emphasize empirical mea- surements, observations, analysis and reports of learning out- comes. This article presents and analyses data on the academic performances of undergraduate students for duration of three semesters across the three major colleges of Landmark University, a private University in Nigeria. The colleges include the college of Agricultural Sciences (CAS), college of Business and Social Sciences (CBSS), and the college of Science and Engineering (CSE). Furthermore, population samples of 82, 577 and 812 under- graduates were selected randomly from CAS, CBSS and CSE respectively; totaling a population of sample of 1471 under- graduates from all academic levels (200L–500L) with the exception of first year students. The random selection was drawn from three consecutive semesters- the first and second semesters of academic 2016/2017 session and first semester of 2017/2018 academic session. The cumulative GPA of the sample population of students for the semester highlighted was obtained from the Centre for Systems and Information Services Units of the University. Moti- vated by the need to promote evidence-based research in aca- demic excellence, a spread-sheet containing the detailed dataset is attached to this article. The descriptive statistics and frequency distributions of academic performance data are presented in with the use of tables and graphs for easy data interpretations. The data provided in this article supports the goal of a regional policy towards the realization of qualitative sustainable education

Strengthening Bioinformatics and Genomics Analysis Skills in Africa for Attainment of the Sustainable Development Goals Report of the 2nd Conference of the Nigerian Bioinformatics and Genomics Network

The second conference of the Nigerian Bioinformatics and Genomics Network (NBGN21) was held from October 11 to October 13, 2021. The event was organized by the Nigerian Bioinformatics and Genomics Network. A 1-day genomic analysis workshop on genome-wide association study and polygenic risk score analysis was organized as part of the conference. It was organized primarily as a research capacity building initiative to empower Nigerian researchers to take a leading role in this cutting-edge field of genomic data science. The theme of the conference was “Leveraging Bioinformatics and Genomics for the attainments of the Sustainable Development Goals.” The conference used a hybrid approach—virtual and in-person. It served as a platform to bring together 235 registered participants mainly from Nigeria and virtually, from all over the world. NBGN21 had four keynote speakers and four leading Nigerian scientists received awards for their contributions to genomics and bioinformatics development in Nigeria. A total of 100 travel fellowships were awarded to delegates within Nigeria. A major topic of discussion was the application of bioinformatics and genomics in the achievement of the Sustainable Development Goals (SDG3—Good Health and Well-Being, SDG4—Quality Education, and SDG 15—Life on Land [Biodiversity]). In closing, most of the NBGN21 conference participants were interviewed and interestingly they agreed that bioinformatics and genomic analysis of African genomes are vital in identifying population-specific genetic variants that confer susceptibility to different diseases that are endemic in Africa. The knowledge of this can empower African healthcare systems and governments for timely intervention, thereby enhancing good health and well-bein

Design of RFID based Location Aware System to Mitigate Child Kidnapping in Nigerian Nursery and Primary Schools

Today, kidnapping cases in Nigeria is on the daily increase and children in nursery and primary schools are not left out. These innocent children are lured with precious items and food items and kidnapped even from school premises. To curb this act of kidnapping in schools, security men are employed to watch the gates but they cannot always determine the guardian-ward relationship of all pupils easily. It is believed that this can be curbed if the guardian-ward relationship can be determined easily and the location of all pupils can also be known per time. Today, there exist various means by which the locations of people, animal or items can be tracked real time, some of which were explored including Global positioning system (GPS), mobile phone tracking etc. but all come with their limitation especially cost of implementation. This work thus proposes a cost-effective location-aware system design integrating Radio Frequency Identification (RFID), which is able to determine the location of pupils per time within the school premises, and also map and determine guardian-ward relationship

Medical Diagnosis System Using Fuzzy Logic

One of the major problems that both the developed and under-developed countries are facing is the difficulties of treating illhealth people. There is shortage of medical expertise in various hospitals, most of these countries are spending affluence of their resources to meet this challenge but still they are unable to meet the demands of providing good medical services for their people. It has become of great concern to find a lasting solution to the problem of traditional method of medical diagnostic which is characterized by inaccuracy and imprecision. Many researchers have developed several algorithms and technologies (including Fuzzy Logic, Genetic Algorithms and even Artificial Neural Network) to ensure accuracy and precision in the field of medicine which are branches of Artificial Intelligence. This paper covers the development of a medical diagnostic system using fuzzy logic; so as to enhance the accuracy and precision of medical diagnosis. The proposed medical diagnostic system was developed using Visual Prolog Programming language. The proposed system proffers solution to the enormous responsibilities of the diagnostic process carried out by medical personnel using fuzzy logic. More advance medical diagnosis system can be designed to help in the area like drugs prescription, registering of patients as well as keeping of patients’ details and records in the medical sector

A Novel System of Fingerprint Recognition Approach for Immigration Control

Abstract : Insecurity is a pressing and important issue that needs urgent attention i

Academic performance data of undergraduate students' in 23 programmes from a private University in Nigeria

The quality of teaching and learning in higher education in many developing countries can be improved as institutions in this region adopt evidence-based practices that emphasize empirical measurements, observations, analysis and reports of learning outcomes. This article presents and analyses data on the academic performances of undergraduate students for duration of three semesters across the three major colleges of Landmark University,a private University in Nigeria. The colleges include the college ofAgricultural Sciences (CAS), college of Business and Social Sciences(CBSS), and the college of Science and Engineering (CSE).Furthermore, population samples of 82, 577 and 812 under-graduates were selected randomly from CAS, CBSS and CSE respectively; totaling a population of sample of 1471 undergraduates from all academic levels (200L–500L) with the exception of first year students. The random selection was drawn from three consecutive semesters- the first and second semesters of academic 2016/2017 session and first semester of 2017/2018 academic session. The cumulative GPA of the sample population of students forthe semester highlighted was obtained from the Centre for Systems and Information Services Units of the University. Moti-vated by the need to promote evidence-based research in aca-demic excellence, a spread-sheet containing the detailed dataset isattached to this article. The descriptive statistics and frequency distributions of academic performance data are presented in withthe use of tables and graphs for easy data interpretations. The data provided in this article supports the goal of a regional policy towards the realization of qualitative sustainable education