Course Name |
Biomathematics |
Course Code |
CERMA005 |
Year |
2019-20 |
Course Designer |
Mr. Shibu C. G |
Couse Duration |
30 Hrs |
Course Schedule |
June to September |
Maximum Students Intake |
60 Students |
1. COURSE LEVEL
Under-graduation level.
2. PREREQUISITE
Basic Mathematics.
3. COURSE INTAKE & ADMISSION
Maximum 60 students will be given admission to the course based on First-Come-First-Serve basis. All the students of the MAMO College are eligible for free enrolment for the course. The enrolment notification will be issued for the course well in advance of the commencement of the course.
4. COURSE COORDINATOR
Mr. Shibuu C. G, Assistant Professor, Department of Mathematics
5. COURSE PREAMBLE
The mathematical tools measures of central tendencies, measures of dispersion and the concept of probability are very important in the study of data. Everyone, whether a student, a researcher, an executive, or a business businessman, today need the minimum knowledge on using these. This course will help a student in understanding these concepts in a good manner.
6. DURATION
Total Duration: 30 Hrs. [Contact Hours 8, Hrs, Course work 12 Hrs, Assignment: 8 Hrs and Assessment work 2 Hrs]
7. CURRICULUM FOCUS
Make the study of Biology papers easy by studying various mathematical tools.
8. COURSE OBJECTIVES
Learners are exposed to
(a) Comparison of various data by using various measures of central tendencies.
(b) Analyse the representative power of various averages by using different measures of dispersion.
9. SKILL EXPECTED
On the successful completion of the course, learners will be able to:
(a) Calculate various measures of central tendencies for different type of data
(b) Calculate various measures of dispersion for different type of data
(c) Apply this knowledge in the comparison of data.
10. COURSE OUTCOMES
Upon the successful completion of the course, learners will be able to:
CO No |
Course Outcome(CO) |
Skill/Knowledge Attainment Level Based on Revised Bloom’s Taxonomy |
CO1 |
Describe, compare, contrast, demonstrate, explain the basics of features of measures of central tendencies and measures of dispersion |
Understand |
CO2 |
Apply these knowledge to real world problems. |
Apply |
CO3 |
Comparison of data . |
Compare |