DEGREE PROGRAMS  Associate's Degree (Short Cycle)  Bachelor’s Degree (First Cycle)  Master’s Degree (Second Cycle)

Course Description Course Name : Computer Applied Statistical Methods Course Code : IEM 723 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. GÜLSEN KIRAL Learning Outcomes of the Course : Learns the application of statistical methods on computer Learns how to analyze data easily with the help of computer Mode of Delivery : Face-to-Face Prerequisites and Co-Prerequisites : None Recommended Optional Programme Components : None Aim(s) of Course : Purposes of the statistical techniques with computer support solution. teach statistical applications via computer. The data obtained from the research are easily analysed through the computer The aim of the course is to train students in the solution of statistical techniques with the help of computer. In this way, the data obtained from the research can be easily analyzed through computer. Course Contents : The course covers teaching the Mathematical structure of the basic concepts of statistics with the help of software Language of Instruction : Turkish Work Place : Computer lab. (2nd blok) . Graduate classrooms (1st blok, 3.floor)   Course Outline /Schedule (Weekly) Planned Learning Activities Week Subject Student's Preliminary Work Learning Activities and Teaching Methods 1 Statistical data analysis using the program Statistical Package Examining the relevant chapter in the book lecture and computer application 2 Introduction to Data analysis Examining the relevant chapter in the book lecture and computer application 3 Editing the data and descriptive statistics Examining the relevant chapter in the book lecture and computer application 4 The form of frequency tables and data analysis Examining the relevant chapter in the book lecture and computer application 5 Statistical measure of the relationship Examining the relevant chapter in the book lecture and computer application 6 Comparison of the mean values Examining the relevant chapter in the book lecture and computer application 7 Homework presentation 8 Midterm exam 9 One-way analysis of variance Examining the relevant chapter in the book lecture and computer application 10 Regression analysis and correlation Examining the relevant chapter in the book lecture and computer application 11 General linear models Examining the relevant chapter in the book lecture and computer application 12 Experiments repeated measurements made on all the factors Examining the relevant chapter in the book lecture and computer application 13 Applications at the computer lab. 14 Analysis of mixed design and experiments Examining the relevant chapter in the book lecture and computer application 15 Applications at the computer lab 16/17 Homework presentation and final exam   Required Course Resources Resource Type Resource Name Recommended Course Material(s)  Chatterjee S. Hadi S. Regression Analysis by Example PRice B. 2003  Özdamar K. Paket Programlar ile istatistiksel veri analizi 1-2 kaan Kitabevi ,Eskişehir  Büyüköztürk Ş. Veri Analizi El kitabı Pegema yayıncılık Ankara 2002  Akgül Aziz ,Çevik Osman İstatistiksel Analiz teknikleri 2003 Emek Ofset  Reha Alprar Uygulamalı Çok değişkenli İstatistiksel Yöntemlere Giriş 2003  Ege Yazgan Business Statistics İstanbul Bilgi Üniversitesi Yayını 2004 Required Course Material(s)   Assessment Methods and Assessment Criteria Semester/Year Assessments Number Contribution Percentage     Mid-term Exams (Written, Oral, etc.) 1 60     Homeworks/Projects/Others 3 40 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 2 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 4 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. 4 9 Questions traditional approaches and their implementation and develops alternative study programs when required 4 10 Recognizes and implements social, scientific, and professional ethic values 4 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 3 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 3 15 Follows the current issues, and interprets the data about economic and social events. 2 16 Understands and interprets the feelings, thoughts and behaviours of people and expresses himself/herself orally and in written form efficiently 0 * 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 3 42 Assesment Related Works     Homeworks, Projects, Others 3 14 42     Mid-term Exams (Written, Oral, etc.) 1 8 8     Final Exam 1 8 8 Total Workload: 142 Total Workload / 25 (h): 5.68 ECTS Credit: 6