Course Name Code Semester T+U Hours Credit ECTS
Statistics IST 104 2 3 + 0 3 6
Precondition Courses
Recommended Optional Courses
Course Language Turkish
Course Level Bachelor's Degree
Course Type Compulsory
Course Coordinator Prof.Dr. NESRİN GÜLER
Course Lecturers Prof.Dr. NESRİN GÜLER,
Course Assistants
Course Category General Education
Course Objective Teaching skills for collecting, storing and processing of data necessary for adopting the best decisions both in corporations and various organizations.
Course Content It is aimed that definition of statistics, basic concepts used, data types, and gathering methods, organizing data, central trend measures, distribution measures, estimation theory, correlation analysis, regression analysis and indexes will be taught.
# Course Learning Outcomes Teaching Methods Assessment Methods
1 Gather data to be used in decision making process Lecture, Drilland Practice, Testing, Homework,
2 Organize such data gathered in organization in order to present to related persons and showing such data in various graphic media Problem Solving, Lecture, Homework, Testing,
3 Determine central trends and distribution measurements, determining value in which data group are focused and what kind of distribution characteristics are presented Problem Solving, Lecture, Homework, Testing,
4 Determine functions to be used in research belonging to the sample selected among the group research will be conducted Problem Solving, Lecture, Homework, Testing,
5 Determine which functions selected concerning the research will be used in which situations and determining superiority to each other Problem Solving, Lecture, Homework, Testing,
6 Relate between variants used in decision making process Problem Solving, Lecture, Homework, Testing,
Week Course Topics Preliminary Preparation
1 Definition of statistics, variant, main mass, unit election, and data derivation types
2 In statistics, series, time, place and distribution series, accumulated series, compound series and showing these series in graphics medium
3 Sensitive averages, arithmetic average, arithmetic average with weight, geometric average and square average
4 Non-sensitive average; mode and median
5 Variation interval, standard deviation, variation index, variance
6 Estimation theory
7 Determining hypothesis tests relevance levels
8 Midterm exam
9 Chi-square test
10 Sample practice applications
11 Correlation analysis
12 Regression analysis
13 Indexes
14 Sample practice works
Course Notes
Course Resources
Order Program Outcomes Level of Contribution
1 2 3 4 5
1 To have advance-level information and comprehension which stay up with textbook that contain to current informations, practise equipments and other scientific contexts, able to use these ones
2 To evaluate concepts, opinions and datas with scientific methods in geography and geographical information technology field.To determine to complicated problem and subjects, its able to analising, able to discuss, able to develop to suggestions which based upon to proof and research
3 To instruct professional or beginner listener groups about subject associated with geography and geographical information technology.Able to transfer to the listeners of ideas,problems and solutions by oral and written examination
4 Able to show administer advance-level working freely X
5 To discover solution methods on complicated conditions in practise in geography and geographical information technology field
6 Able to administer thereby planning of activities directed towards professional evolution
7 To know foreign language for able to communicate with colleauges and to follow up to informations on geography and geographical information technology field
8 Able to use of technologies of informatics and communication with knowledge of computer software and hardware
9 To have satisfactoriness of looking after of social,scientific and ethic values on stages of data collection, explication and announced
10 To have knowledge and consciousness of looking after of social,scientific and ethic values on stages of data collection, explication and announced X
11 Conscious about professional security, health, quality control and its management and environmental protection
13 X
Evaluation System
Semester Studies Contribution Rate
1. Ödev 20
Total 20
1. Yıl İçinin Başarıya 50
1. Final 50
Total 100
ECTS - Workload Activity Quantity Time (Hours) Total Workload (Hours)
Course Duration (Including the exam week: 16x Total course hours) 16 3 48
Hours for off-the-classroom study (Pre-study, practice) 16 3 48
Mid-terms 1 20 20
Quiz 2 4 8
Assignment 1 10 10
Final examination 1 25 25
Total Workload 159
Total Workload / 25 (Hours) 6.36
dersAKTSKredisi 6