COVENANT UNIVERSITY COURSE COMPACT COLLEGE

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COVENANT UNIVERSITY
COURSE COMPACT
COLLEGE :
SCIENCE & TECHNOLOGY
SCHOOL :
NATURAL SCIENCES
DEPARTMENT :
BIOLOGICAL SCIENCES
PROGRAMME:
MICROBIOLOGY
COURSE CODE:
MCB 417
COURSE TITLE:
RESEARCH METHODS IN MICROBIOLOGY
UNITS:
3
SEMESTER/SESSION:
ALPHA, 2014/2015
COURSE LECTURERS:
Prof. Nandita., *Dr Ajayi, AA., Oranusi, S.
TIME:
Tuesday: 10 am -12 Noon
LOCATION:
CST- MCB lab
A.
BRIEF OVERVIEW OF COURSE
Operations of latest Microbiological Equipment, Methods of Research. Evaluation and
design of experimental microbiology from available information and data. Analysis,
interpretation and inference – drawing from microbiological research data. Assimilation and
dissemination of information. Effective use of library, preparation of dissertations or theses
papers for Journal Publications and Conferences.
B.
COURSE OBJECTIVES
At the end of this course, students will be able to:
*
Effectively operate microbiological equipments
*
Design basic microbiological research experiments.
*
Analyze/interpret and draw inferences from microbiological research data
*
Effectively use the library resources in research
*
Package research findings into theses and paper for conference presentation/journal
publication
C.
D.
METHODS OF LECTURE DELIVERY/TEACHING AIDS
■
Interactive classroom session
■
Laboratory session
■
Guided instructions
■
Multimedia
■
e-learning
COURSE OUTLINE
Module 1 :Operations of latest Microbiological Equipment, Methods of Research. Evaluation
and design of experimental microbiology from available information and data.
Week 1& 2: Operations of latest Microbiological Equipment and Methods of Research - Dr AA
Ajayi
Week 3: Evaluation and design of experimental microbiology from available information and
data..- Dr AA Ajayi
Module 2: Analysis, interpretation and inference – drawing from microbiological research data.
Week 4 & 5: Application of Measures of central tendency and Measures of dispersion in
microbiology research- Prof. Nandita
Week 6 & 8 : Application of ANOVA,T-test, Chi-Square, DMR, Regression, Correlation in
microbiology research - Prof. Nandita
Week 7 : Mid semester examination
Module 3: Assimilation and dissemination of information. Effective use of library, preparation
of dissertations or theses papers for Journal Publications and Conferences.
Weeks 9 &10: Scientific communication. Effective use of library,- Oranusi
Week11: preparation of dissertations or theses papers for Journal Publications and Conferences.Oranusi
Week 12: Revision
E. TUTORIALS: Use of statistical packages in Analysis, interpretation and inference – drawing
from microbiological research data., Effective use of library,
F.
METHOD OF GRADING:
. Continuous assessment- 30%
. Examination-
G.
70%
GROUND RULES & REGULATIONS
As stipulated in the students hand book; mandatory 75% attendance; No lateness; No
eating in the class
H.
TOPICS FOR STUDENTS ACTIVITIES
Application of statistical analysis (ANOVA,T-test, Chi-Square, DMR, Regression,
Correlation) in the interpretation and inference – drawing from microbiological research
data.
I.
ALIGNMENT WITH COVENANT UNIVERSITY VISION/GOALS
At the end of this course, the application of research tools to various challenges
specifically in industry, medicine, environment and biotechnology would have been
generated in the minds of would be researchers, leaders and authorities in diverse fields
of life.
J.
CONTEMPORARY ISSUES/ INDUSTRIAL RELEVANCE
. Solutions to various research challenges
. Applications in diverse fields of food science, medical science, environmental science
and biotechnology.
. Research methods is the main base of research, science, humanities and technology.
k.
RECOMMENDED TEXT
1. Statistical aspects of the microbiological examination of foods. Basil Jarvis 2008
2. Statistics for beginners. Adamu SO and Tinuke LJ, 2007
3. Statistics a first course. Saners DH., Smidt RK., Adatia A and Lerson GA 2005
4. Statistics concepts and application. Harry F and Steven CA, 2002
5. Foundations of predictive analytics. James W and Stephen C, 2012
6. Statistics and data analysis for microarrays using R and Bioconductor. Draghici, 2012
7. Microbiology by Prescott, Harley and Klein 2010
8. Microbiology by Nester, Anderson, Robert and Pearsall.
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