MAT3051 Mathematics and StatisticsBahçeşehir UniversityDegree Programs MATHEMATICSGeneral Information For StudentsDiploma SupplementErasmus Policy StatementNational QualificationsBologna Commission
MATHEMATICS
Bachelor TR-NQF-HE: Level 6 QF-EHEA: First Cycle EQF-LLL: Level 6

Course Introduction and Application Information

Course Code Course Name Semester Theoretical Practical Credit ECTS
MAT3051 Mathematics and Statistics Fall 3 0 3 6
This catalog is for information purposes. Course status is determined by the relevant department at the beginning of semester.

Basic information

Language of instruction: English
Type of course: Departmental Elective
Course Level: Bachelor’s Degree (First Cycle)
Mode of Delivery: Face to face
Course Coordinator : Prof. Dr. TUFAN ADIGÜZEL
Recommended Optional Program Components: None
Course Objectives: This course aims to render the student as capable in research and discusses the concept of design and its methods. It examines the quantitative and qualitative approaches to scientific research methods. Concentrating on the current methods of Design Research, the course ensures that the students become advanced on their subject areas and academically and statistically equipped.

Learning Outcomes

The students who have succeeded in this course;
The students who succeeded in this course;
1. Student will be able to be familiar with the concept of research, design research, research degrees and research projects.
2. Student will be able to identify a subject, collect information
3. Student will be able to develop an understanding of qualitative and quantitative methods.
4. Student will be able to recognize and compare statistical packages used for analyzing his/her research results.
5. Student will be able to gain the experience of writing a proper academic paper.

Course Content

This course aims at developing research and statistical data analysis experience of the student and discusses the notion and methods of design.

Weekly Detailed Course Contents

Week Subject Related Preparation
1) Orientation: Welcome and Introduction
2) Introduction to the course, research, research subjects, how to choose a topic, literature review (Students: initial discussion about students’ research subjects)
3) Verbal and visual presentation techniques
4) Research methods: Qualitative and quantitative methods.
5) Design research, design research degrees & other research issues
6) Students presentations
7) Midterm exam: Theoretical issues of research
8) Preparing a research proposal & grant applications.
9) Data collection, analysis and synthesis.
10) Statistical Package Presentation - I
11) Statistical Package Presentation - II
12) Statistical Package Presentation - III
13) Statistical Package Presentation - IV
14) Review of the semester.

Sources

Course Notes / Textbooks: "Handbook of Design Research Methods in Education: Innovations in Science, Technology, Engineering, and Mathematics Learning and Teaching" Anthony E. Kelly, Richard A. Lesh, John Y. Baek, 2008
References:

Evaluation System

Semester Requirements Number of Activities Level of Contribution
Attendance 14 % 10
Homework Assignments 2 % 20
Presentation 1 % 20
Final 1 % 50
Total % 100
PERCENTAGE OF SEMESTER WORK % 50
PERCENTAGE OF FINAL WORK % 50
Total % 100

ECTS / Workload Table

Activities Number of Activities Duration (Hours) Workload
Course Hours 14 3 42
Presentations / Seminar 1 25 25
Homework Assignments 2 15 30
Final 1 28 28
Total Workload 125

Contribution of Learning Outcomes to Programme Outcomes

No Effect 1 Lowest 2 Low 3 Average 4 High 5 Highest
           
Program Outcomes Level of Contribution
1) To have a grasp of basic mathematics, applied mathematics and theories and applications in Mathematics 2
2) To be able to understand and assess mathematical proofs and construct appropriate proofs of their own and also define and analyze problems and to find solutions based on scientific methods, 3
3) To be able to apply mathematics in real life with interdisciplinary approach and to discover their potentials, 4
4) To be able to acquire necessary information and to make modeling in any field that mathematics is used and to improve herself/himself, 3
5) To be able to tell theoretical and technical information easily to both experts in detail and non-experts in basic and comprehensible way, 4
6) To be familiar with computer programs used in the fields of mathematics and to be able to use at least one of them effectively at the European Computer Driving Licence Advanced Level, 4
7) To be able to behave in accordance with social, scientific and ethical values in each step of the projects involved and to be able to introduce and apply projects in terms of civic engagement, 3
8) To be able to evaluate all processes effectively and to have enough awareness about quality management by being conscious and having intellectual background in the universal sense, 2
9) By having a way of abstract thinking, to be able to connect concrete events and to transfer solutions, to be able to design experiments, collect data, and analyze results by scientific methods and to interfere, 4
10) To be able to continue lifelong learning by renewing the knowledge, the abilities and the competencies which have been developed during the program, and being conscious about lifelong learning, 2
11) To be able to adapt and transfer the knowledge gained in the areas of mathematics ; such as algebra, analysis, number theory, mathematical logic, geometry and topology to the level of secondary school, 2
12) To be able to conduct a research either as an individual or as a team member, and to be effective in each related step of the project, to take role in the decision process, to plan and manage the project by using time effectively. 3