Course Name Code Semester T+U Hours Credit ECTS
Prognastic Geography COG 522 0 3 + 0 3 6
Precondition Courses
Recommended Optional Courses
Course Language Turkish
Course Level yuksek_lisans
Course Type Optional
Course Coordinator Doç.Dr. BEYZA USTAOĞLU
Course Lecturers Doç.Dr. BEYZA USTAOĞLU,
Course Assistants
Course Category
Course Objective This course aims to make students prudent about possible future situations of spatial events with using various methods and techniques and aims to gain some skills for making future scenarios which will be substructure of the regional planning
Course Content Analyzing of spatial events and its general processing with using various methods and techniques and making future scenarios depends on gathered information according to in case of any situations
# Course Learning Outcomes Teaching Methods Assessment Methods
1 He/She knows different prediction methods Lecture, Question-Answer, Drilland Practice, Demonstration, Problem Solving, Testing, Homework,
2 He/She uses different prediction techniques Lecture, Question-Answer, Discussion, Drilland Practice, Motivations to Show, Brain Storming, Problem Solving, Testing, Homework,
3 He/She knows some animation techniques on imaginary environment Lecture, Question-Answer, Discussion, Drilland Practice, Demonstration, Motivations to Show, Simulation, Case Study, Problem Solving, Testing, Homework,
4 He/She analizes to geography events and its developments Lecture, Question-Answer, Discussion, Drilland Practice, Motivations to Show, Brain Storming, Problem Solving, Homework, Testing,
5 He/She knows possible changes in geographic events Lecture, Discussion, Drilland Practice, Demonstration, Motivations to Show, Case Study, Problem Solving, Testing, Homework,
6 He/She products scenairos which including changes in landscape Lecture, Question-Answer, Discussion, Drilland Practice, Demonstration, Motivations to Show, Simulation, Brain Storming, Problem Solving, Testing, Homework,
Week Course Topics Preliminary Preparation
1 Basic concepts and definitions
2 Probability and Probability Models
3 Hypothesis Testing and Sampling
4 Analysis of Variance
5 Applications of variance analysis
6 Correlation
7 Applications of Correlation
8 Midterm exam
9 Introduction to Regression Analysis
10 Applications of Regression Analysis
11 Interpolation
12 Techniques for preparing future scenarios
13 Qualitative and quantitative future researches
14 Combining different investigation techniques
Resources
Course Notes
Course Resources
Order Program Outcomes Level of Contribution
1 2 3 4 5
1 Able to get to information,its appraising, interpreting and application with enlarging of information on the same or different field. X
2 Able to develop to information by scientific methods by using limited or incomplete datas on geography and geographical information technology field, able to use of thi informaion with scientific, social and ethic responsibility X
3 To resolve to a problem, evaluating of results and able to apply on geography and geographical information technology field X
4 Able to translate of current development and works to groups that on same field or diffrent field as written,oral and visual X
5 To discover solution methods and able to develop to new strategic approach on complicated conditions in practise in geography information technology field X
6 Able to develop to plans of strategy, politics and practise and able to evaluate their results X
7 To have to oral and written communication skill on least one foreign language
8 Able to use of technologies of informatics and communication with knowledge of computer software and hardware
9 To looking after of social, scientific and ethic values on stages of data collection that associated with geography and geographical information technology field, explication and announced X
10 Able to use to problem solving ability and information that assimilated on geography and geographical information technology field on interdicipline works X
11 X
12 X
13
14
15 X
Evaluation System
Semester Studies Contribution Rate
1. Ödev 40
1. Ara Sınav 60
Total 100
1. Yıl İçinin Başarıya 40
1. Final 60
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 10 10
Quiz 1 10 10
Assignment 1 10 10
Oral Examination 3 8 24
Total Workload 150
Total Workload / 25 (Hours) 6
dersAKTSKredisi 6