FACULTY OF ARTS AND SCIENCES
Department of Mathematics
SOCIAL MEDIA
MATH 336 | Course Introduction and Application Information
| Course Name |
Engineering Statistics II
|
|
Code
|
Semester
|
Theory
(hour/week) |
Application/Lab
(hour/week) |
Local Credits
|
ECTS
|
|
MATH 336
|
Fall/Spring
|
3
|
0
|
3
|
5
|
| Prerequisites |
|
|||||||
| Course Language |
English
|
|||||||
| Course Type |
Elective
|
|||||||
| Course Level |
First Cycle
|
|||||||
| Mode of Delivery | - | |||||||
| Teaching Methods and Techniques of the Course | Problem SolvingLecture / PresentationField work/Application | |||||||
| Course Coordinator | ||||||||
| Course Lecturer(s) | ||||||||
| Assistant(s) | ||||||||
| Course Objectives | The main aim of the course is to introduce advanced statistical methods and usage areas to students. |
| Learning Outcomes |
The students who succeeded in this course;
|
| Course Description | Chi-square distribution and applications, goodness of fit test, simple linear regression and correlation analysis, multiple regression analysis, non-linear regression analysis, defining model in multiple regression, single and multi-factor analysis of variance. |
|
|
Core Courses | |
| Major Area Courses | ||
| Supportive Courses |
X
|
|
| Media and Management Skills Courses | ||
| Transferable Skill Courses |
WEEKLY SUBJECTS AND RELATED PREPARATION STUDIES
| Week | Subjects | Related Preparation |
| 1 | Tests of chi-square | "Applied Statistics and Probability for Engineers" by D.C. Montgomery, G.C. Runger, Wiley, 6th Edition, 2013. ISBN-13: 978-1118539712 Chapter 9 |
| 2 | Independence and Homogeneity Tests | "Applied Statistics and Probability for Engineers" by D.C. Montgomery, G.C. Runger, Wiley, 6th Edition, 2013. ISBN-13: 978-1118539712 Chapter 9 |
| 3 | Testing for goodness of fit | "Applied Statistics and Probability for Engineers" by D.C. Montgomery, G.C. Runger, Wiley, 6th Edition, 2013. ISBN-13: 978-1118539712 Chapter 9 |
| 4 | Introduction to regression | "Applied Statistics and Probability for Engineers" by D.C. Montgomery, G.C. Runger, Wiley, 6th Edition, 2013. ISBN-13: 978-1118539712 Chapter 11 |
| 5 | Analysis of simple regression and correlation | "Applied Statistics and Probability for Engineers" by D.C. Montgomery, G.C. Runger, Wiley, 6th Edition, 2013. ISBN-13: 978-1118539712 Chapter 11 |
| 6 | Analysis of multiple linear regression | "Applied Statistics and Probability for Engineers" by D.C. Montgomery, G.C. Runger, Wiley, 6th Edition, 2013. ISBN-13: 978-1118539712 Chapter 12 |
| 7 | Analysis of multiple linear regression | "Applied Statistics and Probability for Engineers" by D.C. Montgomery, G.C. Runger, Wiley, 6th Edition, 2013. ISBN-13: 978-1118539712 Chapter 12 |
| 8 | Methods used for defining multiple regression | "Applied Statistics and Probability for Engineers" by D.C. Montgomery, G.C. Runger, Wiley, 6th Edition, 2013. ISBN-13: 978-1118539712 Chapter 12 |
| 9 | Midterm | |
| 10 | Analysis of non-linear regression | "Applied Statistics and Probability for Engineers" by D.C. Montgomery, G.C. Runger, Wiley, 6th Edition, 2013. ISBN-13: 978-1118539712 Chapter 11 |
| 11 | Analysis of variance | "Applied Statistics and Probability for Engineers" by D.C. Montgomery, G.C. Runger, Wiley, 6th Edition, 2013. ISBN-13: 978-1118539712 Chapter 13 |
| 12 | Multi-factor analysis of variance | "Applied Statistics and Probability for Engineers" by D.C. Montgomery, G.C. Runger, Wiley, 6th Edition, 2013. ISBN-13: 978-1118539712 Chapter 13 |
| 13 | The models of two-factor analysis of variance | "Applied Statistics and Probability for Engineers" by D.C. Montgomery, G.C. Runger, Wiley, 6th Edition, 2013. ISBN-13: 978-1118539712 Chapter 14 |
| 14 | Two- factor analysis of variance | "Applied Statistics and Probability for Engineers" by D.C. Montgomery, G.C. Runger, Wiley, 6th Edition, 2013. ISBN-13: 978-1118539712 Chapter 14 |
| 15 | Semester Review | |
| 16 | Final Exam |
| Course Notes/Textbooks | "Applied Statistics and Probability for Engineers" by D.C. Montgomery, G.C. Runger, Wiley, 6th Edition, 2013. ISBN-13: 978-1118539712 |
| Suggested Readings/Materials | "Statistics for Engineers and Scientists" by William Navidi, McGraw-Hill Education, 4th Edition, 2014. ISBN-13: 978-0073401331 PowerPoint slides, Excel sheets supplied in lectures for example problems. |
EVALUATION SYSTEM
| Semester Activities | Number | Weigthing |
| Participation | ||
| Laboratory / Application | ||
| Field Work | ||
| Quizzes / Studio Critiques |
5
|
25
|
| Portfolio | ||
| Homework / Assignments | ||
| Presentation / Jury | ||
| Project | ||
| Seminar / Workshop | ||
| Oral Exams | ||
| Midterm |
1
|
35
|
| Final Exam |
1
|
40
|
| Total |
| Weighting of Semester Activities on the Final Grade |
6
|
60
|
| Weighting of End-of-Semester Activities on the Final Grade |
1
|
40
|
| Total |
ECTS / WORKLOAD TABLE
| Semester Activities | Number | Duration (Hours) | Workload |
|---|---|---|---|
| Theoretical Course Hours (Including exam week: 16 x total hours) |
16
|
3
|
48
|
| Laboratory / Application Hours (Including exam week: '.16.' x total hours) |
16
|
0
|
|
| Study Hours Out of Class |
14
|
3
|
42
|
| Field Work |
0
|
||
| Quizzes / Studio Critiques |
5
|
4
|
20
|
| Portfolio |
0
|
||
| Homework / Assignments |
0
|
||
| Presentation / Jury |
0
|
||
| Project |
0
|
||
| Seminar / Workshop |
0
|
||
| Oral Exam |
0
|
||
| Midterms |
1
|
15
|
15
|
| Final Exam |
1
|
25
|
25
|
| Total |
150
|
COURSE LEARNING OUTCOMES AND PROGRAM QUALIFICATIONS RELATIONSHIP
|
#
|
Program Competencies/Outcomes |
* Contribution Level
|
||||
|
1
|
2
|
3
|
4
|
5
|
||
| 1 | To be able to have a grasp of basic mathematics, applied mathematics or theories and applications of statistics. |
X | ||||
| 2 | To be able to use advanced theoretical and applied knowledge, interpret and evaluate data, define and analyze problems, develop solutions based on research and proofs by using acquired advanced knowledge and skills within the fields of mathematics or statistics. |
|||||
| 3 | To be able to apply mathematics or statistics in real life phenomena with interdisciplinary approach and discover their potentials. |
X | ||||
| 4 | To be able to evaluate the knowledge and skills acquired at an advanced level in the field with a critical approach and develop positive attitude towards lifelong learning. |
|||||
| 5 | To be able to share the ideas and solution proposals to problems on issues in the field with professionals, non-professionals. |
|||||
| 6 | To be able to take responsibility both as a team member or individual in order to solve unexpected complex problems faced within the implementations in the field, planning and managing activities towards the development of subordinates in the framework of a project. |
X | ||||
| 7 | To be able to use informatics and communication technologies with at least a minimum level of European Computer Driving License Advanced Level software knowledge. |
|||||
| 8 | To be able to act in accordance with social, scientific, cultural and ethical values on the stages of gathering, implementation and release of the results of data related to the field. |
|||||
| 9 | To be able to possess sufficient consciousness about the issues of universality of social rights, social justice, quality, cultural values and also environmental protection, worker's health and security. |
|||||
| 10 | To be able to connect concrete events and transfer solutions, collect data, analyze and interpret results using scientific methods and having a way of abstract thinking. |
|||||
| 11 | To be able to collect data in the areas of Mathematics or Statistics and communicate with colleagues in a foreign language. |
|||||
| 12 | To be able to speak a second foreign language at a medium level of fluency efficiently. |
|||||
| 13 | To be able to relate the knowledge accumulated throughout the human history to their field of expertise. |
|||||
*1 Lowest, 2 Low, 3 Average, 4 High, 5 Highest
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