BNG5030 Signals and Dynamic SystemsBahçeşehir UniversityDegree Programs MOLECULAR BIOLOGY AND GENETICSGeneral Information For StudentsDiploma SupplementErasmus Policy StatementNational QualificationsBologna Commission
MOLECULAR BIOLOGY AND GENETICS
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) Utilize the wealth of information stored in computer databases to answer basic biological questions and solve problems such as diagnosis and treatment of diseases. 3
2) Acquire an ability to compile and analyze biological information, clearly present and discuss the conclusions, the inferred knowledge and the arguments behind them both in oral and written format. 4
3) Develop critical, creative and analytical thinking skills. 5
4) Develop effective communication skills and have competence in scientific speaking, reading and writing abilities in English and Turkish. 3
5) Gain knowledge of different techniques and methods used in genetics and acquire the relevant laboratory skills. 4
6) Detect biological problems, learn to make hypothesis and solve the hypothesis by using variety of experimental and observational methods. 4
7) Gain knowledge of methods for collecting quantitative and qualitative data and obtain the related skills. 3
8) Conduct research through paying attention to ethics, human values and rights. Pay special attention to confidentiality of information while working with human subjects. 5
9) Obtain basic concepts used in theory and practices of molecular biology and genetics and establish associations between them. 4
10) Search and use literature to improve himself/herself and follow recent developments in science and technology. 5
11) Be aware of the national and international problems in the field and search for solutions. 4