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Course Gaps at Bamidele Olumilua University of Education, Science and Technology, Ikere - Ekiti

Bamidele Olumilua University of Education, Science and Technology, Ikere - Ekiti has flagged these CCMAS courses as needing diaspora expertise. Open a course to see its full details and express interest in teaching it.

23
Courses Flagged
10
Faculties
168
Programmes
Faculty: Allied Health Sciences × Programme: B.Sc. Information Technology and Health Informatics × Institution: Bamidele Olumilua University of Education, Science and Technology, Ikere - Ekiti × Clear all filters
Showing 1–2 of 2 courses
ITH 407 2 Unit(s) (LH 30) 1 institution need this
Allied Health Sciences  ·  B.Sc. Information Technology and Health Informatics
Flagged 8 Sep 2026: We currently have no lecturer for this course
At the end of this course, students should be able to: 1. explain the origins of forensic science; 2. explain the difference between scientific conclusions and legal decision-making; 3. explain the role of digital forens...
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Computer devices, Data collection, Evidence Collection, Extraction and preservation of evidence, Data Recovery, Evidence preservation, verification & authentication, Data Discovery & Identification, Data Analysis, Computer Forensics Tools, Data Hiding Techniques, Computer forensics and mobile forensics.
ITH 202 2 Unit(s) (LH 45) 1 institution need this
Allied Health Sciences  ·  B.Sc. Information Technology and Health Informatics
Flagged 8 Sep 2026
At the end of this course, student should be able to: 1. define epidemiology and describe its relationship with medicine and public health; 2. identify parameters related to morbidity and mortality; 3. define, interpret,...
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Introducing the history and concepts of epidemiology, using principles and methods of both descriptive and analytical epidemiology to address public health problems and issues. Practical application of epidemiology, measures of morbidity and mortality, descriptive epidemiology, causation, source of epidemiological data, epidemiological studies’ design, measure of effect, data interpretations issues, and screening for disease in the community.
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