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Week
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Topics
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Study Metarials
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1
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Basic Statistical Concepts; statistics, biostatistics, uses of biostatistics, universe, sample, statistics, parameters, data, variables, data types, etc.
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K1) Lecture Note
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2
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Introductions SPSS package programme and explaining its tabs
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K1) Lecture Note
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3
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Graphical summarization of biological data
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K1) Lecture Note
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4
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Descriptive Statistics: Central measure statistics, Variability measurement statistics
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K1) Lecture Note
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5
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Sampling Distributions and Confidence Intervals
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K1) Lecture Note
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6
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Hypothesize for the research planned to be carried out in biology and defining the types of errors and the power of the test.
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K1) Lecture Note
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7
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Parametric tests I for the data obtain in biology.
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K1) Lecture Note
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8
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Parametric tests II for the data obtained in biology
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K1) Lecture Note
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9
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Analysis of Variance (ANOVA)
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K1) Lecture Note
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10
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Non- Parametric tests for the data obtained in biology (one sample )
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K1) Lecture Note
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11
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Non- Parametric tests for the data obtained in biology (two sample )
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K1) Lecture Note
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12
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Relationship measurements: Pearson correlation coefficient, Spearman correlation coefficient, Phi, Cramer V, Eta, etc. coefficients.
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K1) Lecture Note
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13
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Regression analysis
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K1) Lecture Note
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14
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Correlation analysis
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K1) Lecture Note
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Prerequisites
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-
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Language of Instruction
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Turkish
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Responsible
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Dr. Tuba Koç
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Instructors
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1-)10768 10768 10768
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Assistants
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-
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Resources
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K1)Lecture note
K2) Özdamar, K. (2001). SPSS ile Biyoistatistik. Eskişehir: Kaan Kitabevi, 343-360.
K3) Sümüllüoğlu, K., & Sümbüllüoğlu, V. (2007). Biyoistatistik, 12.Baskı, Hatipoğlu Yayıncılık,
Ankara
K4) Hugill, M. (1990). Advanced Statistics, London: Collins Educational.
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Supplementary Book
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K5) Chase, W. and Bown, F. (1996). General Statistics. 2nd Ed. New York: Wiley.
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Goals
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Teachs the basic principles and methods of biostatistics, to enable the researchers working in the field of biology to make the computer-based solution of the methods they usually use.
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Content
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Explaining the basic concepts of biostatistics and biostatistics, presenting and summarizing the data obtained in biology, account and use of the central measure statistics, account of the variability measurement statistics Hypothesize for the researches in biology, to introduce the types of error and power of test . Sampling and Sampling Distributions. Parametric tests for the data obtained in biology, analysis of variance, Non- Parametric tests for the data obtained in biology, Regression analysis, Correlation analysis.
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Program Learning Outcomes |
Level of Contribution |
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1
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Improves the recent and advanced knowledge in the field to the level of expertise using original thought and/or research, deepens it, and reaches to the original definitions to bring novelty to the field.
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3
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2
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Evaluates the expertise-level theoretical and applied knowledge, obtained in the biology field, by a systematic approach and uses it.
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4
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3
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Interprets the knowledge in the biology field combining the knowledge from different disciplines, and generates novel knowledge.
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4
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4
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Analyzes a problem in the biology field independently, generates a solution method, and solves the problem evaluating the data.
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4
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5
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Develops novel approaches intended for solutions against the possible problems of applications in the biology field, and generates solution taking the responsibility.
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3
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6
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Gains ability for evaluating the knowledge in the biology field with a critical point of view, and for directing the learning.
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-
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7
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Follows the recent developments in the biology field and in own study, also transfers own studies systematically to the groups in the field and out-groups by written, verbal and visual means.
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2
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8
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Examines the social relations and the standards directing these relations by a critical aspect, and when needed, makes contributions to improve these standards.
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2
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9
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Follows the knowledge in the biology field using a foreign language, communicates verbally and in writing.
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2
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10
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Uses software, information and communication technologies required for the biology field, and reaches to the scientific resources in this way.
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4
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11
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Develops strategy, policy and application plans for the topics related with the biology field, and manages the data obtained evaluating them within the framework of quality processes.
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2
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12
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Supervises and checks the social, scientific, cultural and ethical values at the stages of collection, interpretation, application and announcement of the data related with the biology field.
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4
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13
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Identifies the interdiciplinary interaction related with the field, and uses the knowledge and skills obtained to generate solutions against possible problems encountered in the interdiciplinary team works.
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3
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14
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Uses the modern devices and techniques for the biology applications, and transfers the knowledge related with this topic.
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-
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15
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Publishes a scientific article related with the biology field in a national and/or international peer-reviewed journal.
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2
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