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Course Description Course Name : Multivariate Statistical Analysis Methods In Biotechnology Course Code : BT-535 Course Type : Optional Level of Course : Second Cycle Year of Study : 1 Course Semester : Fall (16 Weeks) ECTS : 6 Name of Lecturer(s) : Prof.Dr. G.TAMER KAYAALP Learning Outcomes of the Course : -Learns the analyses of Multivariate statistical methods . Learns the application of analyses through SPSS package program . -Learns Analytical thinking and interpretation. Mode of Delivery : Face-to-Face Prerequisites and Co-Prerequisites : None Recommended Optional Programme Components : None Aim(s) of Course : Biyoteknoloji denemelerinden elde edilen veriler, genellikle çok değişkenli veri yapısındadır.Ayrıca basmanızı toplu istatistik analizlerinin yapılıp, yorumlanması büyük önem arz eder. Bu derste uygulamalı olarak bu verilerin istatistik analizleri ve yorumlnması amaçlanmaktadır. Course Contents : This lesson discusses the results of the multivariate statistical analysis methods and interpretation. Language of Instruction : Turkish Work Place : Classroom   Course Outline /Schedule (Weekly) Planned Learning Activities Week Subject Student's Preliminary Work Learning Activities and Teaching Methods 1 Basic Matrix Of Rank, Are Idempotent Matrix Notations, Matrix, Matrix Source Books software package applications 2 Oliva, vectors, Linear equation systems Source Books software package applications 3 Descriptive statistics, multivariate analysis, Data matrix Source Books software package applications 4 The variance-covariance matrix, and Correlation matrix, Cross-Group analysis, Source Books software package applications 5 Multivariate Hypothesis Testing, Confidence Intervals Source Books software package applications 6 Wilks Lambda, Hotelling´s statistics, Stats, Statistics, Hotelling´s T2 statistic Source Books software package applications 7 Reliability; The reliability coefficient, the coefficient alpha, item analysis Source Books software package applications 8 Principal Components Analyses Source Books software package applications 9 Mid-Term Exam Source Books none 10 Factor Analysis Source Books software package applications 11 Discrmant Analysis Source Books software package applications 12 Logistic Regression Source Books software package applications 13 Canonic Correlation Analysis Source Books software package applications 14 General Evaluation Source Books software package applications 15 Project Presentation Source Books software package applications 16/17 END OF YEAR EXAM Source Books none   Required Course Resources Resource Type Resource Name Recommended Course Material(s)  Rencher, A.C.,2002. Methods of Multivariate Analysis. John Wiley and Sons. Canada.  Alpar, R., 2003. Applied Multivariate Statistical Methods. Ankara Nobel Bookstore.  Albayrak, A.S., 2006., Applied Multivariate Statistical techniques. Badi Offset Publications. Ankara. Required Course Material(s)   Assessment Methods and Assessment Criteria Semester/Year Assessments Number Contribution Percentage     Mid-term Exams (Written, Oral, etc.) 1 70     Homeworks/Projects/Others 8 30 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. 0 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. 0 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. 0 6 Improves common knowledge accumulation concerning the Biotechnology in the frame of basic theory and practices. 5 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. 3 10 Improves and increases the knowledge to an expert level in the field of biotechnology 3 11 Understands the interdisciplinary interaction associated with biotechnology. 4 12 Integrates and interprets the knowledge from different disciplines by his expertrise in biology and generate new information 3 13 Analizes the problems encountered in the field of research methods. 0 14 Carries out a study requiring expertise in the field independently. 0 15 Developes new strategic approaches and takes resposibility for analitical solutions for unpredictable complicated problems encountered in applications related to biotechnology. 0 16 Demonstrates leadership in the required environment to solve problems associated with biotechnology. 3 * 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 4 56     Out of Class Study (Preliminary Work, Practice) 14 3 42 Assesment Related Works     Homeworks, Projects, Others 8 6 48     Mid-term Exams (Written, Oral, etc.) 1 3 3     Final Exam 1 3 3 Total Workload: 152 Total Workload / 25 (h): 6.08 ECTS Credit: 6