
Description of Individual Course UnitsCourse 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 corequisities   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  
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   
 Recommended or Required Reading  Özdamar, K., (2010) PASW ile Biyoistatistik, Kaan Kitabevi, Eskişehir.
• Özdamar, K., (2004) Paket Programlar ile İstatistiksel Veri Analizi (Cilt 1), Kaan Kitabevi, Eskişehir.
• Ünver, Ö., Gamgam, H., Altunkaynak, B., (2013) Temel İstatistik Yöntemler (SPSS Uygulamalı), Seçkin Kitabevi, Ankara
• Gürkan, O., (2010), Excel 2010, Nirvana Yayınevi, Ankara
• Bluman A.G.,(2004). Elementary Statistics,McGrawHill
 Planned Learning Activities and Teaching Methods   Assessment Methods and Criteria  
Midterm Examination  1  100  SUM  100  
Final Sınavı  1  100  SUM  100  Term (or Year) Learning Activities  40  End Of Term (or Year) Learning Activities  60  SUM  100 
 Language of Instruction  Turkish  Work Placement(s)  
 Workload Calculation 
Contribution of Learning Outcomes to Programme Outcomes  LO1  2                         LO2                          LO3                          LO4                          LO5                          LO6                          LO7                          LO8                         
 * Contribution Level : 1 Very low 2 Low 3 Medium 4 High 5 Very High 



Ege University, Bornova  İzmir / TURKEY • Phone: +90 232 311 10 10 • email: intrec@mail.ege.edu.tr 
