BNG5030 Signals and Dynamic SystemsBahçeşehir UniversityDegree Programs INDUSTRIAL ENGINEERINGGeneral Information For StudentsDiploma SupplementErasmus Policy StatementNational QualificationsBologna Commission
INDUSTRIAL 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
BNG5030 Signals and Dynamic Systems Fall
Spring
3 0 3 12
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: Non-Departmental Elective
Course Level: Bachelor’s Degree (First Cycle)
Mode of Delivery: Face to face
Course Coordinator : Prof. Dr. GÜLAY BULUT
Recommended Optional Program Components: None
Course Objectives: To build upon the essential concepts related to signals and dynamical systems by providing the underlying mathematical theory.

Learning Outcomes

The students who have succeeded in this course;
Upon completion of the course, students will
1. have a through understanding of representation of signals in in time and frequency domains and their relations,
2. be able to obtain various mathematical models of dynamical systems from each other,
3. be able to apply mathematical tools to obtain response of dynamical systems to various inputs.

Course Content

Analysis of discrete-time and continuous-time signals through Fourier, Laplace and z-transforms. Mathematical modeling of discrete-time and continuous-time dynamical systems in time and frequency domains. Interconnections of dynamical systems.

Weekly Detailed Course Contents

Week Subject Related Preparation
1) Representation of continuous-time and discrete-time signals.
2) Fourier analysis of continuous-time signals
3) Fourier analysis of discrete-time signals
4) The Laplace transform
5) The z-transform
6) Time-domain modeling of continuous-time systems by differential equations.
7) Frequency-domain modeling of continuous-time systems by Fourier and Laplace transforms.
8) Response of continuous-time systems to specific inputs.
9) Time-domain modeling of discrete-time systems by difference equations.
10) Frequency-domain modeling of discrete-time systems by Fourier and z transforms.
11) Response of discrete-time systems to specific inputs.
12) Sampled-data systems.
13) Interconnection of systems.
14) Feedback systems.
15) Review

Sources

Course Notes / Textbooks:
References: 1. M. C. K. Khoo: Physiological Control System, Wiley, 1999.
2. R.M. Rangayyan: Biomedical Signal Analysis: A Case-Study Approach, 2001.

Evaluation System

Semester Requirements Number of Activities Level of Contribution
Application 3 % 15
Homework Assignments 5 % 15
Midterms 1 % 30
Final 1 % 40
Total % 100
PERCENTAGE OF SEMESTER WORK % 60
PERCENTAGE OF FINAL WORK % 40
Total % 100

ECTS / Workload Table

Activities Number of Activities Duration (Hours) Workload
Course Hours 3 14 42
Study Hours Out of Class 15 7 105
Homework Assignments 5 6 30
Midterms 1 10 10
Final 1 15 15
Total Workload 202

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 industrial engineering subjects; use theoretical and applied information in these areas to model and solve complex engineering problems.
2) Identify, formulate, and solve complex engineering problems; select and apply proper analysis and modeling methods for this purpose.
3) Design a complex system, process, device or product under realistic constraints and conditions, in such a way as to meet the desired result; apply modern design methods for this purpose. The ability to apply modern design methods to meet this objective.
4) Devise, select, and use modern techniques and tools needed for solving complex problems in industrial engineering practice; employ information technologies effectively.
5) Design and conduct experiments, collect data, analyze and interpret results for investigating the complex problems specific to industrial engineering.
6) Cooperate efficiently in intra-disciplinary and multi-disciplinary teams; and show self-reliance when working independently.
7) Demonstrate effective communication skills in both oral and written English and Turkish. Writing and understanding reports, preparing design and production reports, making effective presentations, giving and receiving clear and understandable instructions.
8) Recognize the need for lifelong learning; show ability to access information, to follow developments in science and technology, and to continuously educate him/herself.
9) Develop an awareness of professional and ethical responsibility, and behaving accordingly. Information about the standards used in engineering applications.
10) Know business life practices such as project management, risk management, and change management; develop an awareness of entrepreneurship, innovation, and sustainable development.
11) Know contemporary issues and the global and societal effects of modern age engineering practices on health, environment, and safety; recognize the legal consequences of engineering solutions.
12) Develop effective and efficient managerial skills.