NAME OF COURSE/MODULE: BIOSTATISTICS
COURSE CODE: SSS2033
NAME(S) OF ACADEMIC STAFF: Prof Em Dr Jalani Sukaimi
RATIONALE FOR THE INCLUSION OF THE COURSE/MODULE IN THE PROGRAMME: This course offers theoretical and practical understanding on basic biostatistics. It will focus on the foundations of biostatistics, descriptive methods of measurement, and probability.  The course provides students a foundation to evaluate information critically in supporting research objectives and a better understanding of statistical design on experimental trials for biological products or devices.
SEMESTER AND YEAR OFFERED: SEM 2 / YEAR 1
TOTAL STUDENT LEARNING TIME (SLT) FACE TO FACE TOTAL GUIDED AND INDEPENDENT LEARNING
L = Lecture

T = Tutorial

P = Practical

O= Others

L

28

T

 

14

P

 

0

O

 

78

L + T + P + O = 120 HOURS

CREDIT VALUE: 3
PREREQUISITE (IF ANY): NONE
OBJECTIVES: 1.     To provide students with a good foundation of biostatistics concepts and principles.

2.     To familiarize students with the various key concepts of biostatistics theories and application to the real world.

3.     To enable students to critically analyze the validity of current biostatistics contents and issues surrounding

LEARNING OUTCOMES:

 

Upon successful completion of this course students should have the ability to:

1.         Study and relate the various key concepts and principles of biostatistics with its applications in scientific research study (A3 – LO1).

2.         Use and apply statistical software data analysis (C3 – LO3).

3.         Construct and initiate a scientific research study (P4 – LO7).

4.         Interpret, analyze and report the results of scientific studies (C4 – LO3).

TRANSFERABLE SKILLS: Students should be able to develop problem solving and analytical skills through a process of lectures and tutorials.
TEACHING-LEARNING AND ASSESSMENT STRATEGY: Teaching-learning strategy:

The course will be taught through a combination of formal lectures, assignments, group work, using authentic materials, informal activities and various textbooks.

Assessment strategy:

  1. Formative
  2. Summative
SYNOPSIS: This course introduces statistical concepts and analytical methods as applied to data encountered in biosciences. Its objective is to provide the best possible introduction to statistics for students in the life and health sciences. It emphasizes the basic concepts of experimental design, quantitative analysis of data, and statistical inferences. The student will be able to assess a situation involving data analysis, state the nature of the biological question and the null and alternative hypotheses proposed, decide on the correct statistical procedure to test the null hypothesis and the assumptions of the test used, calculate the statistic, assess its statistical significance, and interpret the data in light of the calculated result.
MODE OF DELIVERY: Lecture, tutorial and assignment.
ASSESSMENT METHODS AND TYPES:
A. Continuous Assessment (40%)
Category Percentage
Cognitive 30% ·    Tests/Quizzes

·    Assignments

Communication skills 5% ·   Interactive learning
Team work and Ethics 5%
B. Final Examination (60%)
i.      Examination 60% ·    Structured type questions

·    Essay type questions

MAIN REFERENCES SUPPORTING THE COURSE 1. Bluman, AG. 2012. Elementary Statistics: A Brief Version. 6th Edition. McGraw-Hill. (preferred text)

2. Blair, R.C & R.A Taylor. 2008.  Biostatistics for the Health Sciences. Pearson.

3. Glantz, S. 2011. Primer of Biostatistics. 7th Edition. McGraw-Hill.

4. Le, C T. 2003.Introductory Biostatistics. 1st Edition. Wiley.

5. Rosner, B A. 2010. Fundamentals of Biostatistics. 7th Edition. Duxbury Press.

6. Samuels, M L, J A Witmer & A Schaffner. 2011. Statistics For The Life Sciences. Addison Wesley.

7. Triola, M M & M F Triola. 2006. Biostatistics for the Biological and Health Sciences. Pearson.

8. Zar, J H. 2010.  Biostatistical Analysis.  5th Edition. Pearson.

ADDITIONAL REFERENCES SUPPORTING THE COURSE NIL