CEN351 Linear Systems

3 ECTS - 3-0 Duration (T+A)- 5. Semester- 3 National Credit

Information

Unit FACULTY OF ENGINEERING
COMPUTER ENGINEERING PR. (ENGLISH)
Code CEN351
Name Linear Systems
Term 2018-2019 Academic Year
Semester 5. Semester
Duration (T+A) 3-0 (T-A) (17 Week)
ECTS 3 ECTS
National Credit 3 National Credit
Teaching Language İngilizce
Level Lisans Dersi
Type Normal
Label C Compulsory
Mode of study Yüz Yüze Öğretim
Catalog Information Coordinator Prof. Dr. RAMAZAN ÇOBAN
Course Instructor Prof. Dr. RAMAZAN ÇOBAN (Güz) (A Group) (Ins. in Charge)


Course Goal / Objective

The aim of the course is to give basic knowledge about methods for the analysis of linear discrete-time systems and to serve as preparation for other courses.

Course Content

Fourier series, Fourier transforms, transfer functions of continuous and discrete-time systems, transient and steady-state response, natural response and stability, convolution.

Course Precondition

Resources

Notes



Course Learning Outcomes

Order Course Learning Outcomes
LO01 ability to apply knowledge of mathematics, science, and engineering
LO02 ability to use the techniques, skills, and modern engineering tools necessary for engineering practice
LO03 ability to question approaches, procedures, tradeoffs, and results related to engineering problems


Relation with Program Learning Outcome

Order Type Program Learning Outcomes Level
PLO01 - Has capability in the fields of mathematics, science and computer that form the foundations of engineering 1
PLO02 - Identifies, formulates, and solves engineering problems, selects and applies appropriate analytical methods and modeling techniques, 2
PLO03 - Analyzes a system, its component, or process and designs under realistic constraints to meet the desired requirements,gains the ability to apply the methods of modern design accordingly. 3
PLO04 - Ability to use modern techniques and tools necessary for engineering practice and information technologies effectively. 2
PLO05 - Ability to design and to conduct experiments, to collect data, to analyze and to interpret results 3
PLO06 - Has ability to work effectively as an individual and in multi-disciplinary teams, take sresponsibility and builds self-confidence 3
PLO07 - Can access information,gains the ability to do resource research and uses information resources 3
PLO08 - Awareness of the requirement of lifelong learning, to follow developments in science and technology and continuous self-renewal ability 3
PLO09 - Ability to communicate effectively orally and in writing, and to read and understand technical publications in at least one foreign language 2
PLO10 - Professional and ethical responsibility, 3
PLO11 - Awareness about project management, workplace practices, employee health, environmental and occupational safety, and the legal implications of engineering applications, 2
PLO12 - Becomes aware of universal and social effects of engineering solutions and applications, entrepreneurship and innovation, and knowledge of contemporary issues 1


Week Plan

Week Topic Preparation Methods
1 Concepts of systems, input and output Reading material related to subject and lecture notes.
2 Discrete time vs. continuous time Reading material related to subject and lecture notes.
3 Descriptions of commonly used signals, e.g., pulse, step, impulse, sinusoid, exponential Reading material related to subject and lecture notes.
4 Running integral, running sum, first difference Reading material related to subject and lecture notes.
5 Convolution, impulse response, step response Reading material related to subject and lecture notes.
6 Frequency response Reading material related to subject and lecture notes.
7 System properties including linearity, time-invariance, stability, and invertibility Reading material related to subject and lecture notes.
8 Mid-Term Exam Reading material related to subject and lecture notes.
9 Cascade implementation vs. parallel implementation of systems Reading material related to subject and lecture notes.
10 Direct form I and II flow graphs Reading material related to subject and lecture notes.
11 Computation of Fourier Transform based on its definition Reading material related to subject and lecture notes.
12 Fourier Transforms for some standard signals including impulse, step, rectangular, triangular, and sinusoidal functions Reading material related to subject and lecture notes.
13 Fourier Transform properties such as shifting, convolution, differentiation, integration, modulation, and sampling theorem Reading material related to subject and lecture notes.
14 Use of Matlab's elementary commands, graphing functions, and digital signal processing toolbox Reading material related to subject and lecture notes.
15 Final Exam Reading material related to subject and lecture notes.
16 Term Exams Final Exam
17 Term Exams Final Exam


Assessment (Exam) Methods and Criteria

Assessment Type Midterm / Year Impact End of Term / End of Year Impact
1. Midterm Exam 100 40
General Assessment
Midterm / Year Total 100 40
1. Final Exam - 60
Grand Total - 100


Student Workload - ECTS

Works Number Time (Hour) Workload (Hour)
Course Related Works
Class Time (Exam weeks are excluded) 14 3 42
Out of Class Study (Preliminary Work, Practice) 14 2 28
Assesment Related Works
Homeworks, Projects, Others 0 0 0
Mid-term Exams (Written, Oral, etc.) 1 6 6
Final Exam 1 10 10
Total Workload (Hour) 86
Total Workload / 25 (h) 3,44
ECTS 3 ECTS

Update Time: 09.05.2023 07:09