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  Course Description
Course Name : In Biotechnology, The Repeated Submission Trial Plans

Course Code : BT-532

Course Type : Optional

Level of Course : Second Cycle

Year of Study : 1

Course Semester : Spring (16 Weeks)

ECTS : 6

Name of Lecturer(s) : Prof.Dr. G.TAMER KAYAALP

Learning Outcomes of the Course : Learns to experiment.
Makes the statistical analysis of obtained data and learns to interpret the statistical analysis.
-Learns the use of the Statistical package varies between programs.

Mode of Delivery : Face-to-Face

Prerequisites and Co-Prerequisites : None

Recommended Optional Programme Components : None

Aim(s) of Course : In biotechnology, biological data are used very often repeated submission attempts.The creation of statistical analysis to the trials of this type until the last process is intended to provide students with narration.

Course Contents : This course content is the statistical analysis of the repeated submission trial plans.

Language of Instruction : Turkish

Work Place : The classroom.


  Course Outline /Schedule (Weekly) Planned Learning Activities
Week Subject Student's Preliminary Work Learning Activities and Teaching Methods
1 One sample tests Source Book 2-hour lecture; 1 hour question solution
2 One sample tests Source Book 2-hour lecture; 1 hour question solution
3 Multivariate Analysis of Variance Source Book 2-hour lecture; 1 hour question solution
4 Multivariate Analysis of Variance Source Book 2-hour lecture; 1 hour question solution
5 Linear Mixed Models Source Book 2-hour lecture; 1 hour question solution
6 Linear Mixed Models Source Book 2-hour lecture; 1 hour question solution
7 Categorical Data Analysis using Weighted Least-Squares Method Source Book 2-hour lecture; 1 hour question solution
8 Categorical Data Analysis using Weighted Least-Squares Method Source Book 2-hour lecture; 1 hour question solution
9 MiID TERM EXAM Source Book
10 General Linear Models Source Book 2-hour lecture; 1 hour question solution
11 Non Parametric Methods Source Book 2-hour lecture; 1 hour question solution
12 Non Parametric Methods Source Book 2-hour lecture; 1 hour question solution
13 General Evaluation Source Book 2-hour lecture; 1 hour question solution
14 General Evaluation Source Book 2-hour lecture; 1 hour question solution
15 Home Work Evaluation Source Book 2-hour lecture; 1 hour question solutio
16/17 END OF YEAR EXAM Source Book


  Required Course Resources
Resource Type Resource Name
Recommended Course Material(s)  Davis, C.,2001. Statistical Methods for The Analysis of Repeated Measurements. Springer Texts in Statistics.
Required Course Material(s)


  Assessment Methods and Assessment Criteria
Semester/Year Assessments Number Contribution Percentage
    Mid-term Exams (Written, Oral, etc.) 1 80
    Homeworks/Projects/Others 5 20
Total 100
Rate of Semester/Year Assessments to Success 40
 
Final Assessments 100
Rate of Final Assessments to Success 60
Total 100

  Contribution of the Course to Key Learning Outcomes
# Key Learning Outcome Contribution*
1 Evaluates and directs his level of learning in the field of knowledge and skills with his expert level critically. 4
2 Transfers current developments in the field of his work, supporting them with quantitative and qualitative data, systematically to the area outside of the field, written, orally and visually. 4
3 Follows national and international publications and attends social interactions and scientific studies in international level, communicates in at least in one foreign language in order to share studies on international base. 0
4 Uses advanced information and communication technologies along with the required level of their computer software. 5
5 Uses the knowledge in his field for problem solving and / or practical skills in interdisciplinary studies. 3
6 Improves common knowledge accumulation concerning the Biotechnology in the frame of basic theory and practices. 3
7 Is aware of scientific, ethical and social values and handles research process with this frame. 5
8 Handles theories, hypothesis, opinions in the field of Biotechnology with an objective sceptic, logical, analytical manner and evaluates them in critical point of view. 4
9 Gains comprehensive information about natural and applied sciences and its limits with modern techniques and methods applied. 4
10 Improves and increases the knowledge to an expert level in the field of biotechnology 4
11 Understands the interdisciplinary interaction associated with biotechnology. 5
12 Integrates and interprets the knowledge from different disciplines by his expertrise in biology and generate new information 0
13 Analizes the problems encountered in the field of research methods. 5
14 Carries out a study requiring expertise in the field independently. 3
15 Developes new strategic approaches and takes resposibility for analitical solutions for unpredictable complicated problems encountered in applications related to biotechnology. 5
16 Demonstrates leadership in the required environment to solve problems associated with biotechnology. 4
* Contribution levels are between 0 (not) and 5 (maximum).

  Student Workload - ECTS
Works Number Time (Hour) Total Workload (Hour)
Course Related Works
    Class Time (Exam weeks are excluded) 14 3 42
    Out of Class Study (Preliminary Work, Practice) 14 5 70
Assesment Related Works
    Homeworks, Projects, Others 5 5 25
    Mid-term Exams (Written, Oral, etc.) 1 5 5
    Final Exam 1 5 5
Total Workload: 147
Total Workload / 25 (h): 5.88
ECTS Credit: 6