COURSE INFORMATION Course Title: SIGNALS AND SYSTEMS

Code	Course Type	Regular Semester	Theory	Practice	Lab	Credits	ECTS
ECE 201	B	3	3	0	2	4	7

Academic staff member responsible for the design of the course syllabus (name, surname, academic title/scientific degree, email address and signature)	NA
Lecturer (name, surname, academic title/scientific degree, email address and signature) and Office Hours:	Julian Hoxha
Second Lecturer(s) (name, surname, academic title/scientific degree, email address and signature) and Office Hours:	NA
Teaching Assistant(s) and Office Hours:	NA
Language:	English
Compulsory/Elective:	Compulsory
Classroom and Meeting Time:
Course Description:	Properties of Signals and Systems, Linear and Time Invariant Systems, Convolution in Continuous and Discrete Time Systems, Fourier Analysis of Continuous and Discrete Time Signals, Laplace Transforms, Inverse Laplace Transform, z-Transform, Inverse z-Transform, Transfer (System) Function, Fourier Transform, Discrete Fourier Transform, Difference Equations, Eigenvalues and Eigen functions, Orthogonal Systems, Modulation Concept, Sampling Theorem.
Course Objectives:	To introduce the mathematical tools for analysing signals and systems in the time and frequency domain and to provide a basis for applying these techniques in control and communications engineering.

COURSE OUTLINE

Week	Topics
1	Introduction to signals and systems.
2	Discrete- time and continuous-time signals properties.
3	Energy and power signals. Linear systems and impulse response.
4	Stable LTI systems, convolution and correlation.
5	Fourier series representation of periodic signals.
6	Fourier transform.
7	Special property of Fourier transform and Fourier series.
8	Midterm.
9	Filtering and bandwidth definition of systems and signals.
10	Wiener theorem, Hilbert transform, analytical signal and complex envelope.
11	Nyquist-Shannon sampling theorem.
12	Relation between Fourier transform and Fourier series coefficient.
13	Discrete Fourier series, discrete time Fourier transform and discrete Fourier transform for discrete-time signals.
14	Amplitude and phase modulation.

Prerequisite(s):	Calculus I and 2. Discrete mathematics and Probability and statistics for engineers.
Textbook:	Signals and Systems, Third Edition, by Hwei P.Hsu Signal Processing and Linear Systems, First Edition, by B. P. Lathi
Other References:
Laboratory Work:
Computer Usage:
Others:	No

COURSE LEARNING OUTCOMES

1	Knowledge of the classification of signals.
2	Knowledge of frequency analysis for continuous-time signals and discrete time signals.
3	Knowledge of linear time-invariant (LTI) systems, as well as of their representation in the time and frequency domains.
4	Knowledge of the analytic signals and systems representation.
5	Ability to classify and analyze a LTI system and signals in the time and frequency domains
6	Knowledge of the techniques for passing from a continuous-time to discrete-time signal, and vice-versa
7	Ability to pass from discrete time to continuous time signals, and vice-versa.
8	Knowledge of AM and PM modulation.

COURSE CONTRIBUTION TO... PROGRAM COMPETENCIES (Blank : no contribution, 1: least contribution ... 5: highest contribution)

No	Program Competencies	Cont.
Bachelor in Electronics and Digital Communication Engineering (3 years) Program
1	Engineering graduates with sufficient theoretical and practical background for a successful profession and with application skills of fundamental scientific knowledge in the engineering practice.	5
2	Engineering graduates with skills and professional background in describing, formulating, modeling and analyzing the engineering problem, with a consideration for appropriate analytical solutions in all necessary situations	5
3	Engineering graduates with the necessary technical, academic and practical knowledge and application confidence in the design and assessment of machines or mechanical systems or industrial processes with considerations of productivity, feasibility and environmental and social aspects.	4
4	Engineering graduates with the practice of selecting and using appropriate technical and engineering tools in engineering problems, and ability of effective usage of information science technologies.	5
5	Ability of designing and conducting experiments, conduction data acquisition and analysis and making conclusions.	4
6	Ability of identifying the potential resources for information or knowledge regarding a given engineering issue.	5
7	The abilities and performance to participate multi-disciplinary groups together with the effective oral and official communication skills and personal confidence.	4
8	Ability for effective oral and official communication skills in foreign language.	3
9	Engineering graduates with motivation to life-long learning and having known significance of continuous education beyond undergraduate studies for science and technology.	2
10	Engineering graduates with well-structured responsibilities in profession and ethics.	3
11	Engineering graduates who are aware of the importance of safety and healthiness in the project management, workshop environment as well as related legal issues.	2
12	Consciousness for the results and effects of engineering solutions on the society and universe, awareness for the developmental considerations with contemporary problems of humanity.	3

COURSE EVALUATION METHOD

Method	Quantity	Percentage
Midterm Exam(s)	1	30
Quiz	4	10
Final Exam	1	30
	Total Percent:	100%

ECTS (ALLOCATED BASED ON STUDENT WORKLOAD)

Activities	Quantity	Duration(Hours)	Total Workload(Hours)
Course Duration (Including the exam week: 16x Total course hours)	16	3	48
Hours for off-the-classroom study (Pre-study, practice)	12	3	36
Mid-terms	1	22	22
Assignments			0
Final examination	1	22	22
Other	4	11.75	47
Total Work Load:			175
Total Work Load/25(h):			7
ECTS Credit of the Course:			7