MECHATRONICS ENGINEERING
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
MAT1005 Mathematics for Social Sciences Fall
2 2 3 5
The course opens with the approval of the Department at the beginning of each semester

Basic information

Language of instruction: En
Type of course: Non-Departmental Elective
Course Level: Bachelor
Mode of Delivery:
Course Coordinator : Dr. Öğr. Üyesi LAVDİE RADA ÜLGEN
Course Lecturer(s): Prof. Dr. İRİNİ DİMİTRİYADİS
Dr. Öğr. Üyesi LAVDİE RADA ÜLGEN
Dr. Öğr. Üyesi MÜRÜVVET ASLI AYDIN
RA AYSUN SOYSAL
RA DUYGU ÜÇÜNCÜ
Prof. Dr. NAFİZ ARICA
Course Objectives: The main goal of this course is to provide basic theory and applications of mathematics.

Learning Outputs

The students who have succeeded in this course;
The students who succeeded in this course;
will be able to understand conceptual and visual representation of limits, continuity, differentiability, and tangent line approximations for functions at a point.
will be able to use first and second derivative tests to optimize functions.
will be able to use derivatives in practical applications, such as distance, velocity, acceleration and related rates.
will be able to graph a simple function.
will be able to evaluate the antidifferentiates of basic functions.
will be able to use Riemann Sums to estimate areas under the curve.
will be able to apply Fundamental Theorem of Calculus to evaluate definite integrals.

Course Content

Real Numbers, Sets, Functions, Limits and continuity, Derivatives. Applications. Extreme values, the Mean Value Theorem and its applications, Graphing. The definite integral. The indefinite integral. Logarithmic, exponential, inverse trigonometric functions and their derivatives. L’Hopital’s Rule. Techniques of integration. Area, Matrix operators.

Weekly Detailed Course Contents

Week Subject Related Preparation
1) Real numbers and sets
1) Matrix Operations and systems
2) Relations and Functions
3) Inequalities and Absolute Value
4) Limits and Properties of limits
5) Continuity
6) Derivative and Applications of derivative
7) Graphs
8) Optimization
9) Exponential, Logarithmic and Trigonometric Functions
10) Trigonometric identities
11) Antiderivative of a function
12) Riemann sum and definite integral
13) Integration rules and fundamental theorem of calculus
14) Area and applications

Sources

Course Notes: 1-Applied Mathematics for business, Economics, Life Sciences and Social Sciences by R. A. Barnett, M. R. Ziegler, K. E. Byleen.
References:

Evaluation System

Semester Requirements Number of Activities Level of Contribution
Attendance % 0
Laboratory % 0
Application % 0
Field Work % 0
Special Course Internship (Work Placement) % 0
Quizzes % 0
Homework Assignments % 0
Presentation % 0
Project % 0
Seminar % 0
Midterms 2 % 50
Preliminary Jury % 0
Final 1 % 50
Paper Submission % 0
Jury % 0
Bütünleme % 0
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 2 28
Laboratory 0 0 0
Application 14 2 28
Special Course Internship (Work Placement) 0 0 0
Field Work 0 0 0
Study Hours Out of Class 14 2 28
Presentations / Seminar 0 0 0
Project 0 0 0
Homework Assignments 0 0 0
Quizzes 0 0 0
Preliminary Jury 0
Midterms 2 10 20
Paper Submission 0
Jury 0
Final 1 21 21
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) Build up a body of knowledge in mathematics, science and Mechatronics Engineering subjects; use theoretical and applied information in these areas to model and solve complex engineering problems.
2) Identify, formulate, and solve complex Mechatronics Engineering problems; select and apply proper modeling and analysis methods for this purpose.
3) Design complex Mechatronic systems, processes, devices or products under realistic constraints and conditions, in such a way as to meet the desired result; apply modern design methods for this purpose.
4) Devise, select, and use modern techniques and tools needed for solving complex problems in Mechatronics Engineering practice; employ information technologies effectively.
5) Design and conduct numerical or pysical experiments, collect data, analyze and interpret results for investigating the complex problems specific to Mechatronics Engineering.
6) Cooperate efficiently in intra-disciplinary and multi-disciplinary teams; and show self-reliance when working on Mechatronics-related problems.
7) Ability to communicate effectively in English and Turkish (if he/she is a Turkish citizen), both orally and in writing. Write and understand reports, prepare design and production reports, deliver effective presentations, give and receive clear and understandable instructions.
8) Recognize the need for life-long learning; show ability to access information, to follow developments in science and technology, and to continuously educate oneself.
9) Develop an awareness of professional and ethical responsibility, and behave accordingly. Be informed about the standards used in Mechatronics Engineering applications.
10) Learn about business life practices such as project management, risk management, and change management; develop an awareness of entrepreneurship, innovation, and sustainable development.
11) Acquire knowledge about the effects of practices of Mechatronics Engineering on health, environment, security in universal and social scope, and the contemporary problems of Mechatronics engineering; is aware of the legal consequences of Mechatronics engineering solutions.