BNG5030 Signals and Dynamic SystemsBahçeşehir UniversityDegree Programs ARTIFICIAL INTELLIGENCE ENGINEERINGGeneral Information For StudentsDiploma SupplementErasmus Policy StatementNational QualificationsBologna Commission
ARTIFICIAL INTELLIGENCE 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 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) Have sufficient background in mathematics, science and artificial intelligence engineering.
2) Use theoretical and applied knowledge in the fields of mathematics, science and artificial intelligence engineering together for engineering solutions.
3) Identify, define, formulate and solve engineering problems, select and apply appropriate analytical methods and modeling techniques for this purpose.
4) Analyse a system, system component or process and design it under realistic constraints to meet desired requirements; apply modern design methods in this direction.
5) Select and use modern techniques and tools necessary for engineering applications.
6) Design and conduct experiments, collect data, and analyse and interpret results.
7) Work effectively both as an individual and as a multi-disciplinary team member.
8) Access information via conducting literature research, using databases and other resources
9) Follow the developments in science and technology and constantly update themself with an awareness of the necessity of lifelong learning.
10) Use information and communication technologies together with computer software with at least the European Computer License Advanced Level required by their field.
11) Communicate effectively, both verbal and written; know a foreign language at least at the European Language Portfolio B1 General Level.
12) Have an awareness of the universal and social impacts of engineering solutions and applications; know about entrepreneurship and innovation; and have an awareness of the problems of the age.
13) Have a sense of professional and ethical responsibility.
14) Have an awareness of project management, workplace practices, employee health, environment and work safety; know the legal consequences of engineering practices.