COURSE INTRODUCTION AND APPLICATION INFORMATION


Course Name
Individual Studies in Applied Mathematics and Statistics
Code
Semester
Theory
(hour/week)
Application/Lab
(hour/week)
Local Credits
ECTS
MATH 697
Fall
0
0
0
30
Prerequisites
None
Course Language
English
Course Type
Required
Course Level
Third Cycle
Mode of Delivery -
Teaching Methods and Techniques of the Course
Course Coordinator -
Course Lecturer(s)
Assistant(s) -
Course Objectives The aim of the course is to prepare students for the PhD qualfication exam and to adjust their knowledge and background to the current research subjects of the department
Learning Outcomes The students who succeeded in this course;
  • will improve PhD students' knowledge and theoretical perspective in Applied Mathematics and Statistics
  • will have commend on theoretical and applied subjects of their domain.
  • will increase the students willingness to complete an independent research project.
  • will be able to recognise original problems in their domain.
  • will be able to analyze any given problem in their domain.
Course Description Compulsary course subjects of the department and the selective subjects choosen from the students course profile.
Related Sustainable Development Goals

 



Course Category

Core Courses
Major Area Courses
Supportive Courses
Media and Managment Skills Courses
Transferable Skill Courses

 

WEEKLY SUBJECTS AND RELATED PREPARATION STUDIES

Week Subjects Required Materials
1 Topics in Applied Mathematics and Statistics Books and academic articles about Applied Mathematics and Statistics
2 Topics in Applied Mathematics and Statistics Books and academic articles about Applied Mathematics and Statistics
3 Topics in Applied Mathematics and Statistics Books and academic articles about Applied Mathematics and Statistics
4 Topics in Applied Mathematics and Statistics Books and academic articles about Applied Mathematics and Statistics
5 Topics in Applied Mathematics and Statistics Books and academic articles about Applied Mathematics and Statistics
6 Topics in Applied Mathematics and Statistics Books and academic articles about Applied Mathematics and Statistics
7 Topics in Applied Mathematics and Statistics Books and academic articles about Applied Mathematics and Statistics
8 Topics in Applied Mathematics and Statistics Books and academic articles about Applied Mathematics and Statistics
9 Topics in Applied Mathematics and Statistics Books and academic articles about Applied Mathematics and Statistics
10 Topics in Applied Mathematics and Statistics Books and academic articles about Applied Mathematics and Statistics
11 Topics in Applied Mathematics and Statistics Books and academic articles about Applied Mathematics and Statistics
12 Topics in Applied Mathematics and Statistics Books and academic articles about Applied Mathematics and Statistics
13 Topics in Applied Mathematics and Statistics Books and academic articles about Applied Mathematics and Statistics
14 Topics in Applied Mathematics and Statistics Books and academic articles about Applied Mathematics and Statistics
15 Topics in Applied Mathematics and Statistics Books and academic articles about Applied Mathematics and Statistics
16 General Review for the Topics in Applied Mathematics and Statistics Books and academic articles about Applied Mathematics and Statistics
Course Notes/Textbooks
Suggested Readings/Materials

 

EVALUATION SYSTEM

Semester Activities Number Weigthing
Participation
Laboratory / Application
Field Work
Quizzes / Studio Critiques
Portfolio
Homework / Assignments
Presentation / Jury
Project
Seminar / Workshop
Oral Exam
Midterm
Final Exam
2
100
Total

Weighting of Semester Activities on the Final Grade
Weighting of End-of-Semester Activities on the Final Grade
2
100
Total

ECTS / WORKLOAD TABLE

Semester Activities Number Duration (Hours) Workload
Course Hours
(Including exam week: 16 x total hours)
16
0
Laboratory / Application Hours
(Including exam week: 16 x total hours)
16
Study Hours Out of Class
15
50
750
Field Work
Quizzes / Studio Critiques
Portfolio
Homework / Assignments
Presentation / Jury
Project
Seminar / Workshop
Oral Exam
Midterms
Final Exams
2
75
    Total
900

 

COURSE LEARNING OUTCOMES AND PROGRAM QUALIFICATIONS RELATIONSHIP

#
Program Competencies/Outcomes
* Contribution Level
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