COURSE UNIT TITLE

: HUMAN AND ECONOMIC GEOGRAPHY RESEARCH METHODS AND ANALYZE-II

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
SAC 5010 HUMAN AND ECONOMIC GEOGRAPHY RESEARCH METHODS AND ANALYZE-II ELECTIVE 3 0 0 7

Offered By

Geography Teacher Education

Level of Course Unit

Second Cycle Programmes (Master's Degree)

Course Coordinator

ASSOCIATE PROFESSOR RAZIYE ÇAKICIOĞLU OBAN

Offered to

Geography Teacher Education

Course Objective

The aim of this course is recognizing the basic research methods and to make data collection in Human and Economic Geography. Make analysis the data obtained by example applications using various computer programs, and can create sample studies.

Learning Outcomes of the Course Unit

1   Know the basic concepts on the course of Human and Economic Geography Research Methods and Analyze (2).
2   Apply the basic analyze the Human and Economic Geography Research Methods and Analyze (2).
3   Make data collection on the Human and Economic Geography Research Methods and Analyze (2).
4   Make data evaluation on the Human and Economic Geography Research Methods and Analyze (2).
5   To interpret and to use in scientific studies the data relation to the Human and Economic Geography Research Methods and Analyze (2).

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description
1 Basic Concepts about the Human and Economic Geography Research Methods and Analyze (2).
2 Data Management of Human and Economic Geography
3 Data Editing in Human and Economic Geography using by SPSS
4 Data Representation in Human and Economic Geography
5 Data Encoding in Human and Economic Geography
6 Input data in the Human and Economic Geography
7 MIDTERM EXAM
8 Data Evaluation using SPSS Program in Human and Economic Geography
9 Expressing or reporting the data using SPSS Program in Human and Economic Geography
10 I Expressing or reporting the data using SPSS Program in Human and Economic Geography. Input the data -Method
11 Expressing or reporting the data using SPSS Program in Human and Economic Geography. Findings
12 Expressing or reporting the data using SPSS Program in Human and Economic Geography. Comments
13 Expressing or reporting the data using SPSS Program in Human and Economic Geography. Discussion
14 Expressing or reporting the data using SPSS Program in Human and Economic Geography. Conclusions
15 FINAL EXAM

Recomended or Required Reading

Arseven, Ali (2004). Anket Hazırlama, Gündüz Eğitim Yay., ISBN:9756859520.
Arslantürk, Zeki- Arslantürk, Hamit (2010). Uygulamalı Sosyal Araştırma, SPSS, Kavramlar, Teknikler, Metotlar, Bilgisayar Uygulamaları, Çamlıca Yay. 2010, ISBN:9758646364
Büyüköztürk, Şener ve Diğerleri (2009). Bilimsel Araştırma Yöntemleri, Pegem Yay. 4. Baskı, Ankara.
Büyüköztürk, Şener (2009).Sosyal Bilimler Için Veri Analizi El Kitabı, Pegem Yay., Ankara.
Diğerleri ve Raziye Oban (Çakıcıoğlu),(2011). Kuramdan Uygulamaya Yapılandırmacı Coğrafya Öğretimi, MKM Yay. Bursa.
Islamoğlu, Hamdi (2009). Sosyal Bilimlerde Araştırma Yöntemleri (SPSS Uygulamalı), Beta Basım Yay., ISBN:6053774082.
Karasar, Niyazi (2012). Bilimsel Araştırma Yöntemi, Nobel Yay., ISBN:6055426583
Lewins, Frank (Çeviren: A. Vahap Taştan) (2011). Sosyal Bilim Metodolojisi, Lotus Yayınevi , ISBN:9756665640.

Planned Learning Activities and Teaching Methods

Lecture, discussion, observation trips, seminars / the Internet, various institutions, organizations, and interviews with faculty members.

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA
1 MTEG MIDTERM GRADE
2 ASG ASSIGNMENT
3 FCG FINAL COURSE GRADE
4 FCG FINAL COURSE GRADE MTEG * 0.30 +ASG* 0.10 + FCG* 0.60
5 RST RESIT
6 FCGR FINAL COURSE GRADE MTEG * 0.30 + ASG * 0.10 + RST * 0.60

Further Notes About Assessment Methods

None

Assessment Criteria

To be announced.

Language of Instruction

Turkish

Course Policies and Rules

To be announced.

Contact Details for the Lecturer(s)

raziye.oban@deu.edu.tr

Office Hours

To be announced.

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours)
Lectures 13 3 39
Preparations before/after weekly lectures 13 4 52
Preparation for midterm exam 1 15 15
Preparation for final exam 1 15 15
Preparing presentations 2 10 20
Preparing assignments 2 10 20
Midterm 1 1 1
Final 1 3 3
TOTAL WORKLOAD (hours) 165

Contribution of Learning Outcomes to Programme Outcomes

PO/LOPO.1PO.2PO.3PO.4PO.5PO.6
LO.15
LO.24
LO.33
LO.44
LO.55