          Description of Individual Course Units
 Course Unit Code Course Unit Title Type of Course Unit Year of Study Semester Number of ECTS Credits İST106 COMPUTER APPLICATIONS IN STATISTICS I Compulsory 1 2 2
Level of Course Unit
First Cycle
Objectives of the Course
To give basic concepts about statistics and to analyze them with some statistical software packages.
Name of Lecturer(s)
Learning Outcomes
 1 Basic computer skills 2 To be able to use some statistical software packages related to statistics 3 To be able to transfer the necessary data to the computer by editing 4 To be able to create tables and graphics with the help of some statistical software programs 5 To be able to comprehend basic statistical terms 6 To establish a relationship between statistical concepts 7 To be able to analyze basic statistical concepts and methods with statistical software programs 8 To be able to interpret and present the results of statistical analysis
Mode of Delivery
Face to Face
Prerequisites and co-requisities
Recommended Optional Programme Components
Course Contents
Classification of data with statistical software (PSPP, EXCEL, SPSS, MINITAB, ...): preparing frequency tables, creating cross tables, graphing; descriptive statistics; theoretical distributions; random number generation; interval estimation.
Weekly Detailed Course Contents
 Week Theoretical Practice Laboratory 1 Introduction, aim, content and resources of the course 2 Introduction of program menus and applications 3 Data entry, data coding, arithmetic and functional operations on data 4 Classification of data: Frequency table preparation 5 Frequency table preparation 6 Graph drawing: Histogram graph, line graph, circle graph, box graph, etc. graphics 7 Creating cross tables 8 Midterm Exam 9 Creating cross tables 10 Descriptive statistics: Central tendency measures: Arithmetic mean, median, mod. 11 Measures of distribution: Range, variance, standard deviation, standard error, coefficient of variation. 12 Theoretical distributions 13 Generating random numbers from some probability distributions, graphs and descriptive statistics about these random numbers 14 Point and Interval Estimation: Confidence interval for the population mean in a single sample 15 Confidence interval for population average in a single sample 16 Final Exam 