BIOL520 BIOMETRY
Course Code: | 2380520 |
METU Credit (Theoretical-Laboratory hours/week): | 3 (2.00 - 2.00) |
ECTS Credit: | 8.0 |
Department: | Biology |
Language of Instruction: | English |
Level of Study: | Graduate |
Course Coordinator: | Prof.Dr. ZEKİ KAYA |
Offered Semester: | Spring Semesters. |
Course Objectives
The objectives of the course are to provide theoretical and parcticall skills of biometry so graduate studenst could properly and successfuly process their biological data collected during theri graduate studies
Course Content
The statistical techniques applicable in biological research. Emphasis will be given on the use of computers in biological sciences. Data in biology, descriptive statistic, elementary probability distributions, estimation and hypothesis testing, analysis of variance, regression, correlation and certain non-parametric tests are the topics covered. (Compulsory for Ph.D. students) (S/WE)*
Course Learning Outcomes
Assigning weekly homeworks to students that are relted to the topics are covered during lectures. Students are expected to process homework data using SPPS or other softwares and to present in a biologically meaningful ways.
Program Outcomes Matrix
Level of Contribution | |||||
# | Program Outcomes | 0 | 1 | 2 | 3 |
1 | Explain the inner workings of the scientific process, discuss critically, and solve problems by applying appropriate statistical and computational methods; choose experimental and theoretical approaches in biology. | ✔ | |||
2 | Communicate issues in both English and Turkish with high proficiency. | ✔ | |||
3 | Read, and critique scientific communications in biology literature with worldwide recognition. | ✔ | |||
4 | Identify and explain issues in biological sciences within the context of other disciplines. | ✔ | |||
5 | Readily apply innovative theoretical and technological challenges acting upon the need for lifelong learning. | ✔ | |||
6 | Produce data and interpret results as an individual, as well as a team player, and lead whenever necessary. | ✔ | |||
7 | Apply and defend the rules of scientific ethics within their careers and professions. | ✔ |
0: No Contribution 1: Little Contribution 2: Partial Contribution 3: Full Contribution