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UNIVERSITY OF SANTO TOMASFaculty of Pharmacy
An Outcomes-Based Teaching-Learning Program for MATH 6002nd Semester, A.Y. 2014-2015
Course Title: BIOSTATISTICS Course Number: MATH 600
Credit Units: 3 units (2 lecture units, 1 laboratory unit)
Contact Hours: 2 lecture hours per week 2 laboratory hours per week
Course Placement: Second Year (Pharmacy), Third Year (Medical Technology & Biochemistry)
Pre requisites: College Algebra (Math 101) / Algebra and Trigonometry (Math 101a)
Course Facilitators: Ninia I. Calaca, Xandro Nieto
Course Description:The Biostatistics course deals with the collection, organization, presentation, analysis, evaluation, interpretation, formulation and testing of hypotheses and formulation of generalizations and inferences involving biological data, especially those concerning health care, preventive medicine, clinical and laboratory tests.
The course enhances research knowledge, skills and values through the application of statistical principles, theories, methods and techniques with the aid of recent and relevant computer statistical software in solving problems related to human health and the basic biological and medical concerns.
Approved by: Assoc. Prof. Ma. Elena J. Manansala Dean Date of Approval: October 29, 2013
INSTITUTIONAL INTENDED LEARNING OUTCOME (IILO)(GRADUATE ATTRIBUTES)PROGRAM INTENDED LEARNING OUTCOME(PILO)COURSE INTENDED LEARNING OUTCOME(CILO)
Academic Excellence Show expertise in the competencies necessary to the practice of profession. Demonstrate creative application of concepts and methods in general education geared towards the advancement of various fields of profession. 1. Apply the appropriate statistical principles, methods and techniques with the aid of computer software in the analysis of data.
Leadership and Teamwork Demonstrate capacity for leadership and teamwork including the ability to motivate others, to be responsible and reliable. Exhibit capacity to contribute as productive member of the profession and assume leadership roles as appropriate in the profession and society. 2. Work productively and harmoniously as members of a group in a Biostatistics research paper.
Critical Thinking, Research and Problem Solving Skills Initiate innovative ideas and methods through research responsive to the changing needs of the society. Demonstrate a repertoire of thinking strategies that will enable them to acquire, evaluate and synthesize information and knowledge and develop analytical skills to make decisions in both familiar and unfamiliar situation. 3. Apply the appropriate statistical principles, methods and techniques with the aid of computer software in solving problems related to human health and the basic biological and medical concerns.
Productivity and Accountability Develop new knowledge and understanding that will contribute to nation-building and sustainable development through the processes of inquiry, research and innovation. Generate insights and new knowledge in general education that will contribute to nation-building and sustainable development through processes of inquiry, research and innovation. 4. Formulate and test hypotheses involving health care, preventive medicine, clinical and laboratory tests and generate inferences and recommendations on scientific findings.
Social and Ethical Responsibility Uphold Catholic values and moral principles reflective of a competent, committed and compassionate Thomasian in the formation of humanely progressive and healthy society. Develop Catholic value systems and ethical standard that guide professional and social behaviors reflective of the Thomasian identity. 5. Observe ethical standards in conducting the Biostatistics research.
Communication and Relational Skills Develop effective communication competencies through interpersonal skills and utilize information technology responsibly as an effective tool in exploring and expressing ideas.Demonstrate communication competence and relational skills essential to professional practice and to continued person and professional growth as well as to informed citizenry.
6. Prepare a research paper for presentation to a panel of evaluators using effective communication skills and the appropriate information
Intended Learning OutcomesContentTeaching-Learning ActivitiesAssessment Tasks
Explain the meaning of the different statistical terms.(CILO1) Unit I: Descriptive Statistics
1. Definition of statistical terms 1.1 Statistics 1.2 Biostatistics 1.3 Descriptive and Inferential Statistics 1.4 Types of data/Variable 1.5 Population and parameters 1.6 Samples and statistics
Interactive Lecture
Assigned Reading
Work Along Activities
Focused Listing
Compare and contrast chart
Categorizing Grid
Collect, organize and present data appropriately to aid in solving problems related to human health and the basic biological and medical concerns.(CILO3)
Work productively and harmoniously with group mates in writing a research paper starting from topic selection until its final completion. (CILO2) 2. Data Collection, Organization and Presentation 2.1 Collection Methods 2.2 Presentation Methods Lecture Demonstration Computer Hands-on Activity
Brainstorming groups Collaborative learning/research Web search Problem Sets
Content, Form, and Function Outline
Students Portfolio
Classroom Opinion Polls
Describe and interpret data in terms of the appropriate quantitative measures. (CILO1) 3. Quantitative measures 3.1central tendencies 3.2 dispersion 3.3 quantiles 3.4 skewness 3.5kurtosis
Lecture Demonstration
Work Along Activities
Computer Hands-on Activity
Performance Assessment
Intended Learning Outcomes Content Teaching-Learning Activities Assessment Tasks
Solve probability problems with biological significance. (CILO3) Unit II: Introduction to Probability and Hypotheses Testing
1. Probability 1.1 Experiment, Sample Space, Event, Probability, Compound Probability, Conditional Probability 1.2 Bayes Theorem 1.3 Total Probability 2. Probability Distributions 2.1 Binomial 2.2 Poisson 2.3 Normal
Interactive Lecture
Web-enhanced Drill
Problem-Solving Learning
Venn Diagram
Problem Sets
3. *Essential statistics 3.1 ED50 3.2 IC50 3.3 LD50 3.4 Probit Analysis
Determine estimates and confidence limits for the data collected to generate inferences and provide recommendations to the solutions of identified biological or health-related concerns.(CILO4) 4.Central Limit theorem
5. Estimation 5.1 Point estimation 5.2 Confidence interval estimation Interactive Lecture
Work along exercises Problem Recognition Tasks
Whats the Principle
Intended Learning Outcomes Content Teaching-Learning Activities Assessment Tasks
Formulate hypotheses and apply the basic principles of hypothesis testing on data involving health care, preventive medicine, clinical and laboratory tests. (CILO4)
Reflect on the implications of the conclusions of the research output in relation to its contribution to human health, health care and drug design and development. (CILO4)
Prepare the research report both written and for oral presentation using effective communication skills. (CILO6)
Apply the ethical standards of research in doing the Biostatistics paper (CILO5)
Unit III: Statistical Inference
1. Introduction to Testing Hypothesis 1.1 Formulation of Hypothesis 1.2Steps in Testing Hypothesis 1.3 One-tailed and Two-tailed Testing
2. Hypothesis Testing of Continuous Data for One Sample
3. Hypothesis Testing of Continuous Data for Two Samples
4. Hypothesis Testing of Continuous Data for more than Two Sample Groups
5. Hypothesis Testing for Categorical Data: One, Two, and three or more groups
6. Correlation (Pearsons, Spearmans, Phi-Coefficient, and Point-Biserial), Regression, Agreement/Concordance.
Lecture Demonstration
Collaborative learning/research
Computer Hands-on Activity
Learning Partner
Note Taking
Brainstorming groups
Chat room sessions
Research Presentation.
Whats the Principle
Performance Assessment
Pros and Cons Grid
Analytic Memos
Critiques
Journals
Research Paper
Student Presentations
Poster presentation
GRADING SYSTEM
Lecture Grade = 80% Research Report (Written and Oral) = 20%
Class Standing 50% Parts of the research report:
Quizzes Introduction Activities Statement of the Problem and HypothesesExamination 50% Review of Related Literature Method and Sampling Technique Discussion of Results (include Statistical Tests)
Semestral Grade = Average of the 3 grading Conclusion and Recommendations
period grades X 0.8 +20(Research)
Culminating Activity:
Paper Presentation to a Panel of Evaluators
Note: Passing cut off (raw score) - 60%
RECOMMENDED TEXTBOOK: Kellar, Stacey Plichta (2013), Munros Statistical Methods for Health Care Research, Wolters Luwer Health/ Lippincott Williams & Wilkins.
REFERENCES: Brase, Charles (2006), Understanding basic statistics. Boston, MA: Houghton Mifflin Co. Bryant, Patrick J. and Pace, Heather A. (2009), Evidence Based Medicine for Clinical Decision Making. ASHSP.Dawson, Beth and Trapp, Robert (2004), Basic & Clinical Biostatistics, 4th edition, McGraw-Hill Education(Asia) Rosner, Bernard (2012). Biostatistics, Cenage Learning Asia Pte.Ltd.
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