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Year/Semester of Study | 3 / Fall Semester | ||||
Level of Course | 1st Cycle Degree Programme | ||||
Type of Course | Compulsory | ||||
Department | BIOLOGY | ||||
Pre-requisities and Co-requisites | None | ||||
Mode of Delivery | Face to Face | ||||
Teaching Period | 14 Weeks | ||||
Name of Lecturer | SEVİL SUNGUR (sevilsungur@nevsehir.edu.tr) | ||||
Name of Lecturer(s) | |||||
Language of Instruction | Turkish | ||||
Work Placement(s) | None | ||||
Objectives of the Course | |||||
Teaching appliying methods and usage of statistic methods about biology. |
Learning Outcomes | PO | MME | |
The students who succeeded in this course: | |||
LO-1 | can explain bacis statistical terminology |
PO-4 Have the skills to define, model and solve the biological problems in the field of Biology and related fields PO-6 Are able to assess and evaluate the data making use of the advanced knowledge and skills that they have acquired in the field, to define and analyze the issues connected with current technological developments finding ways to offer solutions to those issues based on the researched and evidence PO-7 Are able to use the modern techniques and devices necessary for the current practices in the field of Biology PO-8 Are able to collaborate both intra- and interdisciplinary by planning and managing the activities regarding the development of the members subordinate to them PO-14 Are able to use the information and communication technology required by the field of Biology with a competence at the level of European Computer Driving License |
Examination |
LO-2 | be able to apply data gatering, arrangment and analyze |
PO-2 Transfer and adapt what they have acquired in the field of Biology to other disciplines PO-3 Are creative, resourceful in terms of conducting biological analysis and equipped with the communication and social skills necessary to take part in team work PO-4 Have the skills to define, model and solve the biological problems in the field of Biology and related fields PO-5 Are dedicated to improve themselves by keeping abreast of the developments in science, technology and modern topics PO-7 Are able to use the modern techniques and devices necessary for the current practices in the field of Biology PO-14 Are able to use the information and communication technology required by the field of Biology with a competence at the level of European Computer Driving License |
Examination |
LO-3 | be able to use statistical package program |
PO-4 Have the skills to define, model and solve the biological problems in the field of Biology and related fields PO-5 Are dedicated to improve themselves by keeping abreast of the developments in science, technology and modern topics PO-6 Are able to assess and evaluate the data making use of the advanced knowledge and skills that they have acquired in the field, to define and analyze the issues connected with current technological developments finding ways to offer solutions to those issues based on the researched and evidence PO-14 Are able to use the information and communication technology required by the field of Biology with a competence at the level of European Computer Driving License |
Examination |
PO: Programme Outcomes MME:Method of measurement & Evaluation |
Course Contents | ||
Data variety, collecting and comparing data, main statistic concepts, terms, calculating statics and analyses of results. | ||
Weekly Course Content | ||
Week | Subject | Learning Activities and Teaching Methods |
1 | Data collection and sampling | Classroom lessons, question and answer |
2 | Measures of center, measures of dispersion | Classroom lessons, question and answer |
3 | Classification of data, the mean and variance of classified data | Classroom lessons, question and answer |
4 | Variance, standard deviation and standard error | Classroom lessons, question and answer |
5 | Chi square, combinations, permutations | Classroom lessons, question and answer |
6 | Binomial distribution | Classroom lessons, question and answer |
7 | Normal distribution, the use of normal distribution tables | Classroom lessons, question and answer |
8 | mid-term exam | |
9 | Binomial approximation to normal | Classroom lessons, question and answer |
10 | Hypothesis testing, the difference between the two proportion | Classroom lessons, question and answer |
11 | Hypothesis testing, the average difference between the two | Classroom lessons, question and answer |
12 | Analysis of variance (one-way analysis of variance) | Classroom lessons, question and answer |
13 | Analysis of variance (two-way analysis of variance) | Classroom lessons, question and answer |
14 | Correlation | Classroom lessons, question and answer |
15 | Regression | Classroom lessons, question and answer |
16 | final exam | |
Recommend Course Book / Supplementary Book/Reading | ||
1 | Kaya, T., (2004) İstatistik | |
Required Course instruments and materials | ||
Lecture Notes, Books, Computer, Statistical Package Programs |
Assessment Methods | |||
Type of Assessment | Week | Hours | Weight(%) |
mid-term exam | 8 | 2 | 40 |
Other assessment methods | |||
1.Oral Examination | |||
2.Quiz | |||
3.Laboratory exam | |||
4.Presentation | |||
5.Report | |||
6.Workshop | |||
7.Performance Project | |||
8.Term Paper | |||
9.Project | |||
final exam | 16 | 2 | 60 |
Student Work Load | |||
Type of Work | Weekly Hours | Number of Weeks | Work Load |
Weekly Course Hours (Theoretical+Practice) | 4 | 14 | 56 |
Outside Class | |||
a) Reading | 2 | 10 | 20 |
b) Search in internet/Library | 2 | 10 | 20 |
c) Performance Project | 0 | ||
d) Prepare a workshop/Presentation/Report | 2 | 10 | 20 |
e) Term paper/Project | 0 | ||
Oral Examination | 0 | ||
Quiz | 0 | ||
Laboratory exam | 0 | ||
Own study for mid-term exam | 8 | 1 | 8 |
mid-term exam | 2 | 1 | 2 |
Own study for final exam | 16 | 1 | 16 |
final exam | 2 | 1 | 2 |
0 | |||
0 | |||
Total work load; | 144 |