CLICK HERE FOR THE COURSE SYLLABUS (.pdf)
|
Course Name
|
Code
|
Semester
|
Theory
(hour/week) |
Application/Laboratory
(hour/week) |
Local Credits
|
ECTS
|
|
Advanced Data Analysis
|
MATH 658
|
Fall/Spring
|
3
|
0
|
3
|
7.5
|
| Prerequisites |
None
|
|||||
| Course Language |
English
|
| Course Type |
Elective
|
| Course Level |
Third Cycle
|
| Course Coordinator | - |
| Course Lecturer(s) | |
| Course Assistants | - |
| Course Objectives | The main objective of this course is to provide a basic understanding of data analysis concepts and to use it in applications with using some statistical software packages. The course will cover basic approaches in statistical inference and data mining, as well as modeling. |
| Course Learning Outcomes |
The students who succeeded in this course;
|
| Course Content |
| Week | Subjects | Related Preparation |
| 1 | Introduction to data analysis | Chapter 1: Introduction to Statistics, Random Data and Software Tools SPSS and R |
| 2 | Graphical methods to describe data | Chapter 2: Presenting and Summarizing the Data; Graphics using SPSS |
| 3 | Quantitative methods to describe data | Chapter 2: Presenting and Summarizing the Data; Data Analysis using SPSS |
| 4 | Relationships between several variables | Chapter 2: Data Analysis and Graphics using SPSS |
| 5 | Statistical Models | Chapter 3: Estimating Data Parameters using SPSS |
| 6 | One sample tests | Chapter 4: Parametric Tests of Hypotheses using SPSS |
| 7 | Two-sample tests | Chapter 4: Parametric Tests of Hypotheses using SPSS |
| 8 | Analysis of variance | Chapter 4: Parametric Tests of Hypotheses using SPSS |
| 9 | Analysis of variance | Chapter 4: Parametric Tests of Hypotheses using SPSS |
| 10 | Linear regression models | Chapter 7: Regression with a single predictor using SPSS |
| 11 | Linear regression models | Chapter 7: Regression with a multiple predictor using SPSS |
| 12 | Nonparametric Tests | Field, A. (2012). Discovering statistics using SPSS (4th ed). London: Sage |
| 13 | Nonparametric Tests | Field, A. (2012). Discovering statistics using SPSS (4th ed). London: Sage. |
| 14 | Basics of Data Mining | J. Han, M. Kamber, and J. Pei, Data Mining: Concepts and Techniques, Second Edition, 2nd ed. Morgan Kaufmann, 2006 |
| 15 | Review of the Semester | |
| 16 | Review of the Semester |
| Course Notes / Textbooks | <p><span style="color: rgb(102, 102, 102); font-family: "Helvetica Neue", Helvetica, Arial, sans-serif; font-size: 15px;">Lecture Notes; Field, A. (2012). Discovering statistics using SPSS (4th ed). London: Sage.</span></p> |
| References | A First Course in Mathematical Modeling, Fourth EditionFrank R. Giordano, William P. Fox, Steven B. Horton, Maurice D. Weir, Brooks/Cole, 2009 |
| Semester Requirements | Number | Percentage of Grade |
| Attendance/Participation | ||
| Laboratory | ||
| Application | ||
| Field Work | ||
| Special Course Internship (Work Placement) | ||
| Quizzes/Studio Critics | ||
| Homework Assignments |
-
|
|
| Presentation/Jury |
1
|
10
|
| Project |
1
|
20
|
| Seminar/Workshop | ||
| Midterms/Oral Exams |
1
|
30
|
| Final/Oral Exam |
1
|
40
|
| Total |
| PERCENTAGE OF SEMESTER WORK | 6 |
65 |
| PERCENTAGE OF FINAL WORK | 1 |
35 |
| Total |
|
Course Category |
Core Courses | |
| Major Area Courses |
X
|
|
| Supportive Courses | ||
| Media and Managment Skills Courses | ||
| Transferable Skill Courses |
|
#
|
Program Qualifications / Outcomes |
* Level of Contribution
|
||||
1 |
2 |
3 |
4 |
5 |
||
| 1 | To develop and deepen his/her knowledge on theories of mathematics and statistics and their applications in level of expertise, and to obtain unique definitions which bring innovations to the area, based on master level competencies, |
X | ||||
| 2 | To have the ability of original, independent and critical thinking in Mathematics and Statistics and to be able to develop theoretical concepts, |
X | ||||
| 3 | To have the ability of defining and verifying problems in Mathematics and Statistics, |
X | ||||
| 4 | With an interdisciplinary approach, to be able to apply theoretical and applied methods of mathematics and statistics in analyzing and solving new problems and to be able to discover his/her own potentials with respect to the application, |
X | ||||
| 5 | In nearly every fields that mathematics and statistics are used, to be able to execute, conclude and report a research, which requires expertise, independently, |
X | ||||
| 6 | To be able to evaluate and renew his/her abilities and knowledge acquired in the field of Applied Mathematics and Statistics with critical approach, and to be able to analyze, synthesize and evaluate complex thoughts in a critical way, |
X | ||||
| 7 | To be able to convey his/her analyses and methods in the field of Applied Mathematics and Statistics to the experts in a scientific way, |
X | ||||
| 8 | To be able to use national and international academic resources (English) efficiently, to update his/her knowledge, to communicate with his/her native and foreign colleagues easily, to follow the literature periodically, to contribute scientific meetings held in his/her own field and other fields systematically as written, oral and visual. |
X | ||||
| 9 | To be familiar with computer software commonly used in the fields of Applied Mathematics and Statistics and to be able to use at least two of them efficiently, |
X | ||||
| 10 | To contribute the transformation process of his/her own society into an information society and the sustainability of this process by introducing scientific, technological, social and cultural advances in the fields of Applied Mathematics and Statistics, |
X | ||||
| 11 | As having rich cultural background and social sensitivity with a global perspective, to be able to evaluate all processes efficiently, to be able to contribute the solutions of social, scientific, cultural and ethical problems and to support the development of these values, |
X | ||||
| 12 | As being competent in abstract thinking, to be able to connect abstract events to concrete events and to transfer solutions, to analyze results with scientific methods by designing experiment and collecting data and to interpret them, |
X | ||||
| 13 | To be able to produce strategies, policies and plans about systems and topics in which mathematics and statistics are used and to be able to interpret and develop results, |
X | ||||
| 14 | To be able to evaluate, argue and analyze prominent persons, events and phenomena, which play an important role in the development and combination of the fields of Mathematics and Statistics, within the perspective of the development of other fields of science, |
X | ||||
| 15 | In Applied Mathematics and Statistics, to be able to sustain scientific work as an individual or a group, to be effective in all phases of an independent work, to participate decision-making process and to make and execute necessary planning within an effective time schedule. |
X | ||||
*1 Lowest, 2 Low, 3 Average, 4 High, 5 Highest
| Activities | Number | Duration (Hours) | Total Workload |
| Course Hours (Including Exam Week: 16 x Total Hours) |
16
|
3
|
|
| Laboratory | |||
| Application | |||
| Special Course Internship (Work Placement) | |||
| Field Work | |||
| Study Hours Out of Class |
12
|
2
|
|
| Presentations / Seminar |
1
|
16
|
|
| Project |
1
|
20
|
|
| Homework Assignments | |||
| Quizzes | |||
| Midterms / Oral Exams |
1
|
20
|
|
| Final / Oral Exam |
1
|
30
|
|
| Total Workload |
CLICK HERE FOR THE COURSE SYLLABUS (.pdf)