Graduation Project (MATH500) Course Detail

Course Name Course Code Season Lecture Hours Application Hours Lab Hours Credit ECTS
Graduation Project MATH500 0 0 0 0 40
Pre-requisite Course(s)
N/A
Course Language English
Course Type N/A
Course Level Natural & Applied Sciences Master's Degree
Mode of Delivery Face To Face
Learning and Teaching Strategies Discussion, Experiment, Question and Answer, Observation Case Study, Problem Solving, Brain Storming, Project Design/Management.
Course Coordinator
Course Lecturer(s)
Course Assistants
Course Objectives The objective of this course is to study and present a topic of modern mathematics which is not included in courses studied at graduate and undergraduate levels. The course requires from students the abilities to search for information, use knowledge they gained during their education in the department and make a scientific presentation in a clear, informative, and well-organized manner.
Course Learning Outcomes The students who succeeded in this course;
  • At the end of the course the students are being able to: 1) search for information using various sources; scientific papers, the internet, monographs, etc., 2) organize a step-by-step development of the topic, 3) study modern areas of mathematics; make review and understand related problems, 4) produce and present a written final report.
Course Content Introduction, sources of information, new definitions and concepts, theoretical grounding, relevant examples and related problems, presentation of the subject in an informative scientific style using modern text formats (TEX, Word, WordScientific, etc.), submission and presentation of the report.

Weekly Subjects and Releated Preparation Studies

Week Subjects Preparation
1 This is a non-lecture course. Project advisor organizes regular meeting with the student.

Sources

Evaluation System

Requirements Number Percentage of Grade
Attendance/Participation - -
Laboratory - -
Application - -
Field Work - -
Special Course Internship - -
Quizzes/Studio Critics - -
Homework Assignments - -
Presentation - -
Project 1 100
Report - -
Seminar - -
Midterms Exams/Midterms Jury - -
Final Exam/Final Jury - -
Toplam 1 100
Percentage of Semester Work 100
Percentage of Final Work 0
Total 100

Course Category

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

The Relation Between Course Learning Competencies and Program Qualifications

# Program Qualifications / Competencies Level of Contribution
1 2 3 4 5
1 Has the ability to apply scientific knowledge gained in the undergraduate education and to expand and extend knowledge in the same or in a different area.
2 Has the ability to obtain, to evaluate, to interpret and to apply information by doing scientific research.
3 Can apply gained knowledge and problem solving abilities in inter-disciplinary research.
4 Has the ability to work independently within research area, to state the problem, to develop solution techniques, to solve the problem, to evaluate the obtained results and to apply them when necessary.
5 Takes responsibility individually and as a team member to improve systematic approaches to produce solutions in unexpected complicated situations related to the area of study.
6 Can develop strategies, implement plans and principles on the area of study and can evaluate obtained results within the framework.
7 Can develop and extend the knowledge in the area and to use them with scientific, social and ethical responsibility.
8 Has the ability to follow recent developments within the area of research, to support research with scientific arguments and data, to communicate the information on the area of expertise in a systematically by means of written report and oral/visual presentation.
9 Has proficiency in English language and has the ability to communicate with colleagues and to follow the innovations in mathematics and related fields.
10 Has software and hardware knowledge in the area of expertise, and has proficient information and communication technology knowledge.
11 Has professional ethical consciousness and responsibility which takes into account the universal and social dimensions in the process of data collection, interpretation, implementation and declaration of results in mathematics and its applications.

ECTS/Workload Table

Activities Number Duration (Hours) Total Workload
Course Hours (Including Exam Week: 16 x Total Hours) 16 10 160
Laboratory
Application
Special Course Internship
Field Work
Study Hours Out of Class 16 10 160
Presentation/Seminar Prepration 1 4 4
Project 10 12 120
Report
Homework Assignments
Quizzes/Studio Critics
Prepration of Midterm Exams/Midterm Jury
Prepration of Final Exams/Final Jury
Total Workload 444