Course Information
Course Title Code Semester T + P ECTS
Engineering Mathematics BMM209 3 4 + 0 5

Prerequisites None

Language Turkish
Level Bachelor's Degree
Type Compulsory
Coordinator Assoc.Prof. SEDA TIĞLI AYDIN
Instructors Assoc.Prof. SEDA TIĞLI AYDIN
Goals Equip students with basic knowledge of Engineering Mathematics
Contents Ordinary differential equations,First-order and first-order differential equations,High-grade first-order differential equations,Higher-order differential equations,Linear differential equations,Systems of differential equations,Series solutions of differential equations
Work Placement(s) Absent

Number Learning Outcomes
1 Acquire the basic concepts of engineering applications
2 Be able to analyze problems related fields
3 Mathematics engineering concepts to grasp the importance of electrical and electronic engineering
4 To have a detailed knowledge of differential equations
5 The importance of the modern applications of differential equations

Mode of Delivery Face-to-Face
Planned Learning Activities & Teaching Methods 3 hours of lectures per week course is taught by a faculty member on the board as theoretical.Subject the end of each topic in detail in order to consolidate the sample problems solved by the instructor on board
Assessment Methods 1- Midterm exam 2- Final exam



Course Content
Week Topics Study Materials
1 Ordinary differential equations Students study related subject from sources and then join to lesson.
2 Ordinary differential equations Students study related subject from sources and then join to lesson.
3 First-order and first-order differential equations Students study related subject from sources and then join to lesson.
4 First-order and first-order differential equations Students study related subject from sources and then join to lesson.
5 High-grade first-order differential equations Students study related subject from sources and then join to lesson.
6 High-grade first-order differential equations Students study related subject from sources and then join to lesson.
7 Higher-order differential equations Students study related subject from sources and then join to lesson.
8 Higher-order differential equations Students study related subject from sources and then join to lesson.
9 Linear differential equations Students study related subject from sources and then join to lesson.
10 Mid-term and problem solving Students study related subject from sources and then join to lesson.
11 Systems of differential equations Students study related subject from sources and then join to lesson.
12 Systems of differential equations Students study related subject from sources and then join to lesson.
13 Series solutions of differential equations Students study related subject from sources and then join to lesson.
14 modern applications Students study related subject from sources and then join to lesson.



Sources
Textbook Metin Başarır and Eyüp Sabri Tuncer, "Resolved Differential Equations with problems", 2nd Print, Değişim Yayınevi Publishing, 2003
Additional Resources 1) Yaşar Pala, "Modern Uygulamalı Diferansiyel Denklemler", Nobel Yayınevi, 2006. 2) Öner Akın, "Bilgisayar Destekli ve Matematiksel Modellemeli Diferansiyel Denklemler ve Sınır Değer Problemleri", Palme Yayıncılık, 2008.



Assessment System Quantity Percentage
In-Term Studies
Mid-terms 1 100
In-Term Total 1 100
Contribution of In-Term Studies to Overall 40
Contribution of Final Exam to Overall 60
Total 100





Course's Contribution to PLO
No Key Learning Outcomes Level
1 2 3 4 5
1 Has principal knowledge about Math, Science and Engineering subjects related to their own branches. x
2 Uses Math, Science and theoretical and practical knowledge of their own areas to find solutions for current engineering problems. x
3 Identifies, formulates and solves engineering problems, for that purpose, selects and applies appropriate analytical methods and modeling techniques. x
4 Analyzes a system, a component, or a process, designs under realistic constraints to meet the desired requirements; implements the methods of modern design accordingly. x
5 Selects and uses modern techniques and tools necessary for engineering applications. x
6 Designs and performs experiments, collects data, analyzes and interprets the results. Finds solutions to problems in the fields of medicine and biology using engineering techniques. x
7 Works effectively as an individual and multidisciplinary teams. x
8 Collects information and does research of resources for this purpose, uses databases and other information resources. x
9 Is aware of necessity of lifelong learning; monitors developments in science and technology and continuously renews himself/herself. x
10 Uses informatics and communication technology with computer software that is minimum required by the European Computer Driving Licence Advanced Level. x
11 Communicates effectively verbal and written, uses at least one foreign language at B1 level of European Language Portfolio. x
12 Is aware of universal and social effects of engineering solutions and applications, Is aware of entrepreneurship and innovation and has knowledge of contemporary issues. x
13 Has principal knowledge about professional and ethical responsibility. x
14 Holds awareness about project management, workplace practices, employee health, environmental and occupational safety; and about the legal implications of engineering applications. x
15 Trains individuals to be preferred in biomedical industry by national and international institutions and have the qualification of hardware. x
16 Provides training and consulting services to improve the quality and reliability in the use of technology in hospitals in the field of clinical engineering. x
17 Provides consulting and technical support services to hospitals, health organizations and medical technology manufacturers/sellers. x



ECTS ALLOCATED BASED ON STUDENT WORKLOAD BY THE COURSE DESCRIPTION
Activities Quantity Duration (Hour) Total Work Load (h)
Course Duration 14 4 56
Hours for off-the-classroom study (Pre-study, practice) 14 2 28
Assignments 5 2 10
Mid-terms 1 20 20
Final examination 1 25 25
Total Work Load (h) 139
Total Work Load / 30 (h) 4.63
ECTS Credit of the Course 5