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Course Description Course Name : Data Analysis Course Code : IEM 737 Course Type : Optional Level of Course : Second Cycle Year of Study : 1 Course Semester : Fall (16 Weeks) ECTS : 6 Name of Lecturer(s) : Asst.Prof.Dr. EBRU ÖZGÜR GÜLER Learning Outcomes of the Course : Explains fundamental statistical concepts Defines data types and determines the appropriate statistical method for the data being considered Forms a statistical hypothesis from the resarch problem Analyzes the formed hypothesis and interprets the results with the appropriate statistical method Mode of Delivery : Face-to-Face Prerequisites and Co-Prerequisites : None Recommended Optional Programme Components : None Aim(s) of Course : The aim of the course is to enable the students to test the validity and correctness of a scientific theory with the appropriate statistical method and to choose the proper statistical method for the data being considered. Course Contents : The course covers research methods, data and measurement levels, collecting data, graphical representation of data, numerical summarization of data, confidence intervals, hypothesis tests, nonparametric methods Language of Instruction : Turkish Work Place : Faculty classrooms   Course Outline /Schedule (Weekly) Planned Learning Activities Week Subject Student's Preliminary Work Learning Activities and Teaching Methods 1 Steps of research methods Reading the related chapter in the reference book Lecture 2 Levels of measurement Reading the related chapter in the reference book Lecture 3 Sampling methods, data collection techniques Reading the related chapter in the reference book Lecture 4 Sketching and interpreting graphs Reading the related chapter in the reference book Lecture, computer application 5 Sketching and interpreting graphs Reading the related chapter in the reference book Lecture, computer application 6 Calculating and interpreting descriptive statistics Reading the related chapter in the reference book Lecture, computer application 7 Calculating and interpreting descriptive statistics Reading the related chapter in the reference book Lecture, computer application 8 Midterm exam 9 Confidence intervals (one sample) Reading the related chapter in the reference book Lecture, computer application 10 Confidence intervals (two or more samples) Reading the related chapter in the reference book Lecture, computer application 11 Hypothesis Tests (one sampling) Reading the related chapter in the reference book Lecture, computer application 12 Hypothesis Tests (two or more sampling) Reading the related chapter in the reference book Lecture, computer application 13 Tests of independency and correlation Reading the related chapter in the reference book Lecture, computer application 14 Nonparametric techniques (one sample) Reading the related chapter in the reference book Lecture, computer application 15 Nonparametric techniques (two or more samples) Reading the related chapter in the reference book Lecture, computer application 16/17 Final Exam   Required Course Resources Resource Type Resource Name Recommended Course Material(s)  Lisansüstü Araştırmalarda İstatistik Uygulamaları (SPSS Uygulamalı), Murat Atan (Ed.), Murat Atan, Sibel Atan, Yalçın Arslantürk, Dama Kitabevi, Kasım 2012, Ankara  Betimsel İstatistik, Necmi Gürsakal, Dora Kitabevi, 2012, Bursa  Çıkarımsal İstatistik, Necmi Gürsakal, Dora Kitabevi, 2009, Bursa Required Course Material(s)   Assessment Methods and Assessment Criteria Semester/Year Assessments Number Contribution Percentage     Mid-term Exams (Written, Oral, etc.) 1 50     Homeworks/Projects/Others 2 50 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 Explains Econometric concepts 2 2 Equipped with the foundations of Economics, develops Economic models 1 3 Models problems using the knowledge of Mathematics, Statistics, and Econometrics 4 4 Acquires the ability to analyze, benchmark, evaluate and interpret at conceptual levels to develop solutions to problems 5 5 Collects, edits, and analyzes data 5 6 Uses advanced software packages concerning Econometrics, Statistics, and Operation Research 4 7 Develops the ability to use different resources in an area which has not been studied in the scope of academic rules, synthesizes the information gathered, and gives effective presentations 4 8 Speaks Turkish and at least one other foreign language in accordance with the requirements of academic and business life. 3 9 Questions traditional approaches and their implementation and develops alternative study programs when required 2 10 Recognizes and implements social, scientific, and professional ethic values 1 11 Gives a consistent estimate for the model and analyzes and interprets its results 4 12 Takes responsibility individually and/or as a member of a team; leads a team and works effectively 1 13 Defines the concepts of statistics, operations research and mathematics. 3 14 Knowing the necessity of life-long learning, follows the latest developments in the field of study and improves himself continiously 0 15 Follows the current issues, and interprets the data about economic and social events. 0 16 Understands and interprets the feelings, thoughts and behaviours of people and expresses himself/herself orally and in written form efficiently 1 * 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 2 8 16     Mid-term Exams (Written, Oral, etc.) 1 10 10     Final Exam 1 10 10 Total Workload: 148 Total Workload / 25 (h): 5.92 ECTS Credit: 6