GAZI UNIVERSITY INFORMATION PACKAGE - 2019 ACADEMIC YEAR

COURSE DESCRIPTION
STATISTICS/IST-201
Course Title: STATISTICS
Credits 3 ECTS 4
Course Semester 3 Type of The Course Compulsory
COURSE INFORMATION
 -- (CATALOG CONTENT)
 -- (TEXTBOOK)
 -- (SUPPLEMENTARY TEXTBOOK)
 -- (PREREQUISITES AND CO-REQUISITES)
 -- LANGUAGE OF INSTRUCTION
  Turkish
 -- COURSE OBJECTIVES
 -- COURSE LEARNING OUTCOMES
Having sufficient background in basic mathematics and sciences and basic engineering subjects; the ability to use theoretical and practical knowledge
Ability to identify, formulate, and solve complex engineering problems; ability to select and apply appropriate analysis and modeling methods for this
Ability to design a complex system, process, device or product under realistic constraints and conditions to meet specific requirements; for this purp
Ability to develop, select and use modern techniques and tools required for engineering applications; ability to use information technologies effectiv
An ability to design and conduct experiments, to collect data, to analyze and interpret the results of engineering problems.
Ability to work effectively in disciplinary and multidisciplinary teams; individual study skills.
Ability to communicate effectively in verbal and written Turkish; knowledge of at least one foreign language.
Awareness of the necessity of lifelong learning; ability to access information, to follow developments in science and technology and to renew himself
Being an active entrepreneur and having an innovative understanding.
To be able to disseminate project and project results.
 -- MODE OF DELIVERY
  The mode of delivery of this course is Face to face
 --WEEKLY SCHEDULE
1. Week  Basic statistical concepts
2. Week  Editing data
3. Week  Frequency distributions and graphics
4. Week  Measures of central tendency
5. Week  Measures of central tendency
6. Week  Measures of dispersion
7. Week  Midterm
8. Week  Measures of dispersion
9. Week  Simple probability concepts
10. Week  Bernoulli distribution, Binomial distribution
11. Week  Normal distribution
12. Week  Central limit theorem, Sampling distribution
13. Week  Confidence interval
14. Week  Confidence interval
15. Week  Hypothesis testing
16. Week  16 Final exam
 -- TEACHING and LEARNING METHODS
 -- ASSESSMENT CRITERIA
 
Quantity
Total Weighting (%)
 Midterm Exams
1
40
 Assignment
0
0
 Application
0
0
 Projects
0
0
 Practice
0
0
 Quiz
0
0
 Percent of In-term Studies  
40
 Percentage of Final Exam to Total Score  
60
 -- WORKLOAD
 Activity  Total Number of Weeks  Duration (weekly hour)  Total Period Work Load
 Weekly Theoretical Course Hours
14
3
42
 Weekly Tutorial Hours
0
0
0
 Reading Tasks
7
2
14
 Searching in Internet and Library
7
2
14
 Material Design and Implementation
0
0
0
 Report Preparing
0
0
0
 Preparing a Presentation
0
0
0
 Presentation
0
0
0
 Midterm Exam and Preperation for Midterm Exam
2
4
8
 Final Exam and Preperation for Final Exam
2
7
14
 Other (should be emphasized)
0
0
0
 TOTAL WORKLOAD: 
92
 TOTAL WORKLOAD / 25: 
3.68
 Course Credit (ECTS): 
4
 -- COURSE'S CONTRIBUTION TO PROGRAM
NO
 PROGRAM LEARNING OUTCOMES
1
2
3
4
5
1For wood products and furniture industry professional knowledge, both theoretical and practical idea generation, solving engineering problems, make suggestions and gain knowledge and skills in the areas of application.X
2Complex design and engineering problems to identify, projects, reading ability to reflect production; select and apply appropriate analysis methods for this purpose and gain the skills.X
3Product life cycle of the product in line, system or process, depending on the nature of the design, economics, environmental issues, sustainability, manufacturability, ethical, health, safety, social, cultural and political approaches and design; Earn up to date for this purpose is the ability to apply design methods.X
4Engineering applications, techniques and tools that are needed to develop, select, acquire knowledge and skills to use.X
5Computer-aided design and manufacturing skills to use technology effectively to win.X
6Disciplinary and interdisciplinary, individual and gain the skills to work takımsal.X
7Turkish and English verbal and written communication skills to win.
8Aware of the necessity of lifelong learning; to access information, to follow developments in science and technology and continuous self-renewal ability to win.X
9Gain awareness of professional and ethical responsibility.X
10Design management, risk management and change management practices, such as information about his business wins.X
11Gain knowledge in the fields of entrepreneurship and innovation.X
12Gain awareness of legal issues in the field of awareness.
 -- NAME OF LECTURER(S)
   (Assoc. Dr. Meltem Ekiz , Res. Asst. Dr. Sinem Tuğba Şahin Tekin , Res. Asst. Dr. Esra Gökpınar , Res. Asst. Dr. Hatice Tül Kübra Akdur , Res. Asst. Dr. Deniz Özonur)
 -- WEB SITE(S) OF LECTURER(S)
   (--)
 -- EMAIL(S) OF LECTURER(S)
   (ozmeltem@gazi.edu.tr , sinemsahin@gazi.edu.tr , eyigit@gazi.edu.tr , hatice_senol@wsu.edu , denizozonur@gazi.edu.tr)