Course Information Semester Course Code Course Title T+P+L Credit ECTS 2 03820103 Computerized Statistics 4+1+0 7 7 Course Details Language : Turkish Level : Associate Degree Department / Program : Computer Programming Mode of Delivery : Face to Face Type : Compulsory Objectives : Bu ders ile öğrencinin temel istatistik işlemlerini öğrenmesi ve bilgisayarda istatistik yazılım programı ile uygulama yapması amaçlanmaktadır. Content : Probability calculations, statistical analysis, hypothesis testing Methods & Techniques : Prerequisites and co-requisities : None Course Coordinator : Instructor Özlem AKARÇAY Name of Lecturers : Instructor ÖZLEM AKARÇAY PERVİN Assistants : None Work Placement(s) : No Recommended or Required Reading Resources : Sheldon M. Ross Course Category Mathematics and Basic Sciences 50% Engineering 30% Engineering Design 0% Social Sciences 0% Education 0% Science 20% Health 0% Field 0% In-Term Study Informations In-Term Studies Quantity Percentage Mid-terms 1 30% Final examination 1 70% Total 2 100% Activity Informations Activities Quantity Duration Total Work Load Course Duration 14 5 70 Hours for off-the-c.r.stud 14 5 70 Mid-terms 1 15 15 Practice 14 1 14 Laboratory 14 1 14 Final examination 1 15 15 Total Work Load ECTS: 7 198 Course Learning Outcomes Upon the successful completion of this course, students will be able to: No Learning Outcomes 1 Explains general information and concepts about statistical methods. 2 Defines and classifies statistical data. 3 Explains statistical results evaluation methods. 4 Uses statistical programs through computer software. Weekly Detailed Course Contents Week Topics 1 data collection 2 Converting data to series 3 Data entry and basic analysis with a statistical software program on the computer 4 Calculating measures of variability of series 5 Calculating probabilities 6 Probability calculations with a statistical software program on the computer 7 Analyzing with random variables 8 midterm exam 9 Learning about hypothesis testing 10 Learning about test types 11 Analyzing the relationship between variables 12 Regression analysis 13 Regression analysis 14 Correlation analysis 15 Final Exam Contribution of Learning Outcomes to Programme Outcomes P1P2P3P4P5P6P7P8P9P10P11P12P13P14P15P16P17P18 All 132255112131112555 C1 121155112131112555 C2 131155112131112555 C3 121255112131112555 C4 131255112131112555 bbb
