Psychology | |||||
Bachelor | Length of the Programme: 4 | Number of Credits: 240 | TR-NQF-HE: Level 6 | QF-EHEA: First Cycle | EQF: Level 6 |
School/Faculty/Institute | Faculty of Engineering | ||||
Course Code | EE 301 | ||||
Course Title in English | Introduction to Analog and Digital Communication Systems | ||||
Course Title in Turkish | Analog ve Sayısal Haberleşmeye Giriş | ||||
Language of Instruction | EN | ||||
Type of Course | Flipped Classroom,Other | ||||
Level of Course | Introductory | ||||
Semester | Fall | ||||
Contact Hours per Week |
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Estimated Student Workload | 151 hours per semester | ||||
Number of Credits | 6 ECTS | ||||
Grading Mode | Standard Letter Grade | ||||
Pre-requisites |
EE 204 - Signals and Systems |
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Co-requisites | None | ||||
Expected Prior Knowledge | Prior knowledge in probability, statistics, calculus and signals and systems is expected. | ||||
Registration Restrictions | Only Undergraduate Students | ||||
Overall Educational Objective | To learn fundamentals of analog and digital communication techniques using Fourier representation of signals and systems and learn mathematical theories of analog and digital modulation schemes. | ||||
Course Description | This course provides a comprehensive introduction to analog and digital communications. The following topics are covered: properties of Fourier transform, ideal low-pass filters, power spectral density, amplitude modulation, double sideband-suppressed carrier modulation, costas receiver, single-sideband modulation, vestigial sideband modulation, angle modulation, narrowband frequency modulation, wide band frequency modulation, generation and demodulation of FW waves, sampling, pulse-amplitude modulation, pulse-position modulation, quantization, pulse-code modulation, line codes, intersymbol interference, Nyquist channel, binary amplitude shift keying, phase shift keying, frequency shift keying, m-ary digital modulation, constellation diagrams and mapping onto waveforms, additive white Gaussian noise. |
Course Learning Outcomes and CompetencesUpon successful completion of the course, the learner is expected to be able to:1) recognize fundamentals of Fourier representation of signals and systems; 2) describe key building blocks of analog and digital communication systems; 3) analyze analog and digital modulation techniques; 4) apply and demonstrate knowledge on analog and digital communication techniques using modern engineering tools. |
Program Learning Outcomes/Course Learning Outcomes | 1 | 2 | 3 | 4 |
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1) Thorough knowledge of the major concepts, theoretical perspectives, empirical findings, and historical trends in psychology. | ||||
2) Understanding of and ability to apply essential research methods in psychology, including research design, data analysis, and data interpretation. | ||||
3) Competence to use critical and creative thinking, skeptical inquiry and a scientific approach to solving problems related to behavior and mental processes. | ||||
4) Understanding and ability to apply psychological principles, skills and values in personal, social, and organizational contexts. | ||||
5) Ability to weigh evidence, to tolerate ambiguity, and to reflect other values that underpin psychology as a discipline. | ||||
6) Internalization and dissemination of professional ethical standards. | ||||
7) Demonstration of competence in information technologies, and the ability to use computer and other technologies for purposes related to the pursuit of knowledge in psychology and the broader social sciences. | ||||
8) Skills to communicate the knowledge of psychological science effectively, in a variety of formats, in both Turkish and in English (in English, at least CEFR B2 level). | ||||
9) Recognition, understanding, and respect for the complexity of sociocultural and international diversity. | ||||
10) Recognition for the need for, and the skills to pursue, lifelong learning, inquiry, and self-improvement. | ||||
11) Ability to formulate critical hypotheses based on psychological theory and literature, and design studies to test those hypotheses. | ||||
12) Ability to acquire knowledge independently, and to plan one’s own learning. | ||||
13) Demonstration of advanced competence in the clarity and composition of written work and presentations. |
N None | S Supportive | H Highly Related |
Program Outcomes and Competences | Level | Assessed by | |
1) | Thorough knowledge of the major concepts, theoretical perspectives, empirical findings, and historical trends in psychology. | N | |
2) | Understanding of and ability to apply essential research methods in psychology, including research design, data analysis, and data interpretation. | N | |
3) | Competence to use critical and creative thinking, skeptical inquiry and a scientific approach to solving problems related to behavior and mental processes. | H | Exam,HW,Participation |
4) | Understanding and ability to apply psychological principles, skills and values in personal, social, and organizational contexts. | N | |
5) | Ability to weigh evidence, to tolerate ambiguity, and to reflect other values that underpin psychology as a discipline. | N | |
6) | Internalization and dissemination of professional ethical standards. | N | |
7) | Demonstration of competence in information technologies, and the ability to use computer and other technologies for purposes related to the pursuit of knowledge in psychology and the broader social sciences. | N | |
8) | Skills to communicate the knowledge of psychological science effectively, in a variety of formats, in both Turkish and in English (in English, at least CEFR B2 level). | N | |
9) | Recognition, understanding, and respect for the complexity of sociocultural and international diversity. | S | Participation |
10) | Recognition for the need for, and the skills to pursue, lifelong learning, inquiry, and self-improvement. | S | HW,Participation |
11) | Ability to formulate critical hypotheses based on psychological theory and literature, and design studies to test those hypotheses. | N | |
12) | Ability to acquire knowledge independently, and to plan one’s own learning. | S | Exam,HW |
13) | Demonstration of advanced competence in the clarity and composition of written work and presentations. | H | Exam,HW |
Prepared by and Date | , November 2018 |
Course Coordinator | EGEMEN BİLGİN |
Semester | Fall |
Name of Instructor | Asst. Prof. Dr. EGEMEN BİLGİN |
Week | Subject |
1) | Fourier Representation of Signals and Systems |
2) | Fourier Representation of Signals and Systems |
3) | Amplitude Modulation |
4) | Amplitude Modulation |
5) | Angle Modulation |
6) | Angle Modulation |
7) | Pulse Modulation |
8) | Pulse Modulation |
9) | Baseband Data Transmission |
10) | Baseband Data Transmission |
11) | Digital Band-Pass Modulation |
12) | Digital Band-Pass Modulation |
13) | Digital Band-Pass Modulation |
14) | Random Signals and Noise |
15) | Final Exam/Project/Presentation Period |
16) | Final Exam/Project/Presentation Period |
Required/Recommended Readings | Required: Introduction to Analog & Digital Communications, Simon Haykin, Michael Moher, 2nd Edition, Wiley Recommended: Digital and Analog Communication Systems, Leon W. Couch, 8th Edition, Pearson | |||||||||||||||
Teaching Methods | Lectures/contact hours using “flipped classroom” as an active learning technique | |||||||||||||||
Homework and Projects | Final Project | |||||||||||||||
Laboratory Work | Students will carry out experiments on AM, DSSBM, SSBM, FM, PLL, PAM, PCM, ASK, PSK, FSK, BPSK and QAM. | |||||||||||||||
Computer Use | Labview/Simulink | |||||||||||||||
Other Activities | None | |||||||||||||||
Assessment Methods |
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Course Administration |
Instructor’s office: 5th Floor office hours: TBA email address: Rules for attendance: At least 70% attendance to lectures is expected. Missing a midterm: Provided that proper documents of excuse are presented, a make-up exam for midterm exam will be provided. Missing a final: Faculty regulations. A reminder of proper classroom behavior, code of student conduct: YÖK Regulations Academic Dishonesty and Plagiarism: YÖK Regulations |
Activity | No/Weeks | Hours | Calculation | ||||
No/Weeks per Semester | Preparing for the Activity | Spent in the Activity Itself | Completing the Activity Requirements | ||||
Course Hours | 14 | 2 | 3 | 70 | |||
Laboratory | 7 | 2 | 3 | 3 | 56 | ||
Project | 1 | 10 | 1 | 11 | |||
Midterm(s) | 2 | 5 | 2 | 14 | |||
Total Workload | 151 | ||||||
Total Workload/25 | 6.0 | ||||||
ECTS | 6 |