GRADUATE SCHOOL
M.SC. in Computer Engineering (Without Thesis)
STAT 505 | Course Introduction and Application Information
| Course Name |
Applied Statistical Analysis
|
|
Code
|
Semester
|
Theory
(hour/week) |
Application/Lab
(hour/week) |
Local Credits
|
ECTS
|
|
STAT 505
|
Fall/Spring
|
3
|
0
|
3
|
7.5
|
| Prerequisites |
None
|
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| Course Language |
English
|
|||||
| Course Type |
Elective
|
|||||
| Course Level |
Second Cycle
|
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| Mode of Delivery | - | |||||
| Teaching Methods and Techniques of the Course | - | |||||
| Course Coordinator | - | |||||
| Course Lecturer(s) | ||||||
| Assistant(s) | ||||||
| Course Objectives | This course provides essential materials for analyzing statistical data appear in various fields of science such as engineering, medicine and finance |
| Learning Outcomes |
The students who succeeded in this course;
|
| Course Description | This course provides essential materials for analyzing statistical data appear in various fields of science. |
|
|
Core Courses | |
| Major Area Courses | ||
| Supportive Courses | ||
| Media and Management Skills Courses | ||
| Transferable Skill Courses |
WEEKLY SUBJECTS AND RELATED PREPARATION STUDIES
| Week | Subjects | Related Preparation |
| 1 | Why to study statistics and the concept of decision making in an uncertain environment. Importance of describing data and summarizing descriptive relationships. | "Statistical Techniques in Business & Economics (Student edition)" by D. Lind, W. Marchal, S. Wathen, McGraw-Hill, 17th Edition, 2017. ISBN-13: 978-1259666360 Chapter 1 (Pages: 1-17) |
| 2 | Sampling Methods and the Central Limit Theorem, Applications of Excel | "Statistical Techniques in Business & Economics (Student edition)" by D. Lind, W. Marchal, S. Wathen, McGraw-Hill, 17th Edition, 2017. ISBN-13: 978-1259666360 Chapter 8 (Pages: 250-281) |
| 3 | Estimation and Confidence Intervals, Applications of Excel | "Statistical Techniques in Business & Economics (Student edition)" by D. Lind, W. Marchal, S. Wathen, McGraw-Hill, 17th Edition, 2017. ISBN-13: 978-1259666360 Chapter 9 (Pages: 282-317) |
| 4 | One-Sample Tests of Hypothesis, Applications of Excel | "Statistical Techniques in Business & Economics (Student edition)" by D. Lind, W. Marchal, S. Wathen, McGraw-Hill, 17th Edition, 2017. ISBN-13: 978-1259666360 Chapter 10 (Pages: 318-352) |
| 5 | Two-Sample Tests of Hypothesis, Applications of Excel | "Statistical Techniques in Business & Economics (Student edition)" by D. Lind, W. Marchal, S. Wathen, McGraw-Hill, 17th Edition, 2017. ISBN-13: 978-1259666360 Chapter 11 (Pages: 353-385) |
| 6 | Analysis of Variance, Applications of Excel | "Statistical Techniques in Business & Economics (Student edition)" by D. Lind, W. Marchal, S. Wathen, McGraw-Hill, 17th Edition, 2017. ISBN-13: 978-1259666360 Chapter 12 (Pages: 386-434) |
| 7 | Midterm | |
| 8 | Correlation and Linear Regression, Applications of Excel | "Statistical Techniques in Business & Economics (Student edition)" by D. Lind, W. Marchal, S. Wathen, McGraw-Hill, 17th Edition, 2017. ISBN-13: 978-1259666360 Chapter 11 (Pages: 436-487) |
| 9 | Correlation and Linear Regression, Applications of Excel | "Statistical Techniques in Business & Economics (Student edition)" by D. Lind, W. Marchal, S. Wathen, McGraw-Hill, 17th Edition, 2017. ISBN-13: 978-1259666360 Chapter 11 (Pages: 436-487) |
| 10 | Multiple Regression Analysis, Applications of Excel | "Statistical Techniques in Business & Economics (Student edition)" by D. Lind, W. Marchal, S. Wathen, McGraw-Hill, 17th Edition, 2017. ISBN-13: 978-1259666360 Chapter 11 (Pages: 488-544) |
| 11 | Multiple Regression Analysis, Applications of Excel | "Statistical Techniques in Business & Economics (Student edition)" by D. Lind, W. Marchal, S. Wathen, McGraw-Hill, 17th Edition, 2017. ISBN-13: 978-1259666360 Chapter 11 (Pages: 488-544) |
| 12 | Nonparametric Methods: Nominal Level Hypothesis Tests, Applications of Excel | "Statistical Techniques in Business & Economics (Student edition)" by D. Lind, W. Marchal, S. Wathen, McGraw-Hill, 17th Edition, 2017. ISBN-13: 978-1259666360 Chapter 11 (Pages: 545-581) |
| 13 | Nonparametric Methods: Analysis of Ordinal Data, Applications of Excel | "Statistical Techniques in Business & Economics (Student edition)" by D. Lind, W. Marchal, S. Wathen, McGraw-Hill, 17th Edition, 2017. ISBN-13: 978-1259666360 Chapter 11 (Pages: 582-620) |
| 14 | Nonparametric Methods: Analysis of Ordinal Data, Applications of Excel | "Statistical Techniques in Business & Economics (Student edition)" by D. Lind, W. Marchal, S. Wathen, McGraw-Hill, 17th Edition, 2017. ISBN-13: 978-1259666360 Chapter 11 (Pages: 582-620) |
| 15 | Semester Review | |
| 16 | Final Exam |
| Course Notes/Textbooks | "Statistical Techniques in Business & Economics (Student edition)" by D. Lind, W. Marchal, S. Wathen, McGraw-Hill, 17th Edition, 2017. ISBN-13: 978-1259666360 |
| Suggested Readings/Materials | Statistical Techniques for Data Analysis” by J.K. Taylor and C. Cihon, Chapman&Hall, 2nd Edition, 2004. ISBN-13: 978-1584883852 “Statistical Inference” by G. Casella and R. L. Berger, Duxbury Press, 1st Edition, 1990. ISBN-13: 978-0534119584 |
EVALUATION SYSTEM
| Semester Activities | Number | Weigthing |
| Participation | ||
| Laboratory / Application | ||
| Field Work | ||
| Quizzes / Studio Critiques | ||
| Portfolio | ||
| Homework / Assignments | ||
| Presentation / Jury |
1
|
10
|
| Project |
1
|
20
|
| Seminar / Workshop | ||
| Oral Exams | ||
| Midterm |
1
|
30
|
| Final Exam |
1
|
40
|
| Total |
| Weighting of Semester Activities on the Final Grade |
3
|
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
|
5
|
70
|
| Field Work |
0
|
||
| Quizzes / Studio Critiques |
0
|
||
| Portfolio |
0
|
||
| Homework / Assignments |
0
|
||
| Presentation / Jury |
1
|
12
|
12
|
| Project |
1
|
20
|
20
|
| Seminar / Workshop |
0
|
||
| Oral Exam |
0
|
||
| Midterms |
1
|
30
|
30
|
| Final Exam |
1
|
45
|
45
|
| Total |
225
|
COURSE LEARNING OUTCOMES AND PROGRAM QUALIFICATIONS RELATIONSHIP
|
#
|
Program Competencies/Outcomes |
* Contribution Level
|
||||
|
1
|
2
|
3
|
4
|
5
|
||
| 1 | Accesses information in breadth and depth by conducting scientific research in Computer Engineering, evaluates, interprets and applies information. | X | ||||
| 2 | Is well-informed about contemporary techniques and methods used in Computer Engineering and their limitations. | X | ||||
| 3 | Uses scientific methods to complete and apply information from uncertain, limited or incomplete data, can combine and use information from different disciplines. | X | ||||
| 4 | Is informed about new and upcoming applications in the field and learns them whenever necessary. | X | ||||
| 5 | Defines and formulates problems related to Computer Engineering, develops methods to solve them and uses progressive methods in solutions. | X | ||||
| 6 | Develops novel and/or original methods, designs complex systems or processes and develops progressive/alternative solutions in designs. | X | ||||
| 7 | Designs and implements studies based on theory, experiments and modelling, analyses and resolves the complex problems that arise in this process. | X | ||||
| 8 | Can work effectively in interdisciplinary teams as well as teams of the same discipline, can lead such teams and can develop approaches for resolving complex situations, can work independently and takes responsibility. | X | ||||
| 9 | Engages in written and oral communication at least in Level B2 of the European Language Portfolio Global Scale. | X | ||||
| 10 | Communicates the process and the results of his/her studies in national and international venues systematically, clearly and in written or oral form. | X | ||||
| 11 | Is knowledgeable about the social, environmental, health, security and law implications of Computer Engineering applications, knows their project management and business applications, and is aware of their limitations in Computer Engineering applications. | X | ||||
| 12 | Highly regards scientific and ethical values in data collection, interpretation, communication and in every professional activity. | X | ||||
*1 Lowest, 2 Low, 3 Average, 4 High, 5 Highest