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  Course Description
Course Name : Official Statistics

Course Code : İSB405

Course Type : Optional

Level of Course : First Cycle

Year of Study : 4

Course Semester : Fall (16 Weeks)

ECTS : 2

Name of Lecturer(s) : Guest Instructor LUTFİDOĞAN

Learning Outcomes of the Course : Learn Definitions and Concepts of Official Statistics
learn Data Collection Techniques
learn Inflation and price statistics calculation and the household budget survey carried out
learn to obtain Labour, social, business, agriculture, and industry and demographic statistics
Address Based Population Registration System - The National Address Database
Learn Classification of Territorial Units for Statistics
Learn Data compiled by the evaluation of institutions and compiled data
understand Economic indicators, analyze and the works

Mode of Delivery : Face-to-Face

Prerequisites and Co-Prerequisites : None

Recommended Optional Programme Components : None

Aim(s) of Course : Learn how to statistics produced by TUIK and Official statistics are produced in the program

Course Contents : Official Statistics Definitions and Concepts, the Council of Official Statistics, Turkish Statistical Institute (TURKSTAT) Identification, Data Collection Techniques, Inflation and Price Statistics, Household Budget Survey, Household Labour Force Statistics, Studies in Social Statistics, Demographic Statistics Resources, Agriculture and Industrial Statistics, Business Statistics the Address Based Population Registration System - National Address Database, Classification of Territorial Units for Statistical Data compiled evaluation of data compiled by the institutions, economic indicators, analysis and comment on the work

Language of Instruction : Turkish

Work Place : Faculty of Arts and Sciences Annex Classrooms


  Course Outline /Schedule (Weekly) Planned Learning Activities
Week Subject Student's Preliminary Work Learning Activities and Teaching Methods
1 Official Statistics Definitions and Concepts research data, source reading Lecture, slide support
2 Council for Official Statistics research data, source reading Lecture, slide support
3 Definition of TUIK research data, source reading Lecture, slide support
4 Data Collection Techniques research data, source reading Lecture, slide support
5 Inflation and Price Statistics research data, source reading Lecture, slide support
6 Household Budget Survey research data, source reading Lecture, slide support
7 Labor Statistics research data, source reading Lecture, slide support
8 mid-term exam Rewview the topics discussed in the lecture notes and sources written exam
9 Studies in Social Statistics, Demographic Statistics Resources research data, source reading Lecture, slide support
10 Agriculture and Industry Statistics research data, source reading Lecture, slide support
11 Business Statistics research data, source reading Lecture, slide support
12 Address Based Population Registration System - National Address Database research data, source reading Lecture, slide support
13 Nomenclature of Territorial Units for Statistics research data, source reading Lecture, slide support
14 Data compiled by agencies and compiled data evaluation research data, source reading Lecture, slide support
15 Economic indicators, analyze and comment on the work research data, source reading Lecture, slide support
16/17 Final exam Rewview the topics discussed in the lecture notes and sources written exam


  Required Course Resources
Resource Type Resource Name
Recommended Course Material(s)  http://epp.eurostat.ec.europa.eu/portal/page/portal/eurostat/home
 http://www.ustr.gov/
 TÜİK (2012) Türkiye İstatistik Yıllığı 2011, Türkiye İstatistik Kurumu Matbaası, Ankara
Required Course Material(s)  http://www.tuik.gov.tr/Start.do


  Assessment Methods and Assessment Criteria
Semester/Year Assessments Number Contribution Percentage
    Mid-term Exams (Written, Oral, etc.) 1 60
    Homeworks/Projects/Others 5 40
Total 100
Rate of Semester/Year Assessments to Success 40
 
Final Assessments 100
Rate of Final Assessments to Success 60
Total 100

  Contribution of the Course to Key Learning Outcomes
# Key Learning Outcome Contribution*
1 Utilize computer systems and softwares 3
2 Apply the statistical analyze methods 5
3 Make statistical inference(estimation, hypothesis tests etc.) 5
4 Generate solutions for the problems in other disciplines by using statistical techniques 3
5 Discover the visual, database and web programming techniques and posses the ability of writing programme 3
6 Construct a model and analyze it by using statistical packages 4
7 Distinguish the difference between the statistical methods 5
8 Be aware of the interaction between the disciplines related to statistics 5
9 Make oral and visual presentation for the results of statistical methods 3
10 Have capability on effective and productive work in a group and individually 5
11 Develop scientific and ethical values in the fields of statistics-and scientific data collection 5
12 Explain the essence fundamentals and concepts in the field of Probability, Statistics and Mathematics 3
13 Emphasize the importance of Statistics in life 5
14 Define basic principles and concepts in the field of Law and Economics 5
15 Produce numeric and statistical solutions in order to overcome the problems 4
16 Construct the model, solve and interpret the results by using mathematical and statistical tehniques for the problems that include random events 2
17 Use proper methods and techniques to gather and/or to arrange the data 5
18 Professional development in accordance with their interests and abilities, as well as the scientific, cultural, artistic and social fields, constantly improve themselves by identifying training needs 0
* Contribution levels are between 0 (not) and 5 (maximum).

  Student Workload - ECTS
Works Number Time (Hour) Total Workload (Hour)
Course Related Works
    Class Time (Exam weeks are excluded) 14 2 28
    Out of Class Study (Preliminary Work, Practice) 14 2 28
Assesment Related Works
    Homeworks, Projects, Others 5 2 10
    Mid-term Exams (Written, Oral, etc.) 1 20 20
    Final Exam 1 30 30
Total Workload: 116
Total Workload / 25 (h): 4.64
ECTS Credit: 5