Information Package / Course Catalogue
| Psychology | |||||
| Bachelor | Length of the Programme: 4 | Number of Credits: 240 | TR-NQF-HE: Level 6 | QF-EHEA: First Cycle | EQF: Level 6 |
Ders Genel Tanıtım Bilgileri
| School/Faculty/Institute | Faculty of Engineering | ||||
| Course Code | EE 204 | ||||
| Course Title in English | Signals and Systems | ||||
| Course Title in Turkish | İşaretler ve Sistemler | ||||
| Language of Instruction | EN | ||||
| Type of Course | Flipped Classroom | ||||
| Level of Course | Introductory | ||||
| Semester | Spring | ||||
| Contact Hours per Week |
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| Estimated Student Workload | 150 hours per semester | ||||
| Number of Credits | 6 ECTS | ||||
| Grading Mode | Standard Letter Grade | ||||
| Pre-requisites |
MATH 115 - Calculus I |
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| Expected Prior Knowledge | Prior knowledge in differential and integral calculus and complex numbers is expected. | ||||
| Co-requisites | None | ||||
| Registration Restrictions | Only Undergraduate Students | ||||
| Overall Educational Objective | To learn how to analyze continuous-time and discrete-time signals and systems. | ||||
| Course Description | This course provides a comprehensive understanding of continuous-time and discrete-time signals and systems. The following topics are covered: fundamental concepts: linearity, stability; time and frequency analysis of continuous-time and discrete-time signals; Fourier Series, Fourier Transform, Laplace Transform, Discrete Fourier Transform, z-Transform; Sampling. | ||||
| Course Description in Turkish | Bu ders sürekli-zamanlı ve ayrık-zamanlı işaretlerin ve sistemlerin tam olarak anlaşılmasını sağlamaktadır. Aşağıdaki konular kapsanacaktır: temel kavramlar: doğrusallık, kararlılık; Sürekli-zamanlı ve ayrık-zamanlı işaretlerin zaman ve frekans analizleri; Fourier Serileri, Fourier Dönüşümü, Laplace Dönüşümü, Ayrık Fourier Dönüşümü, z-Dönüşümü; Örnekleme. |
Course Learning Outcomes and CompetencesUpon successful completion of the course, the learner is expected to be able to:1) comprehend continuous-time and discrete-time signals and systems, and their properties, 2) analyze continuous-time and discrete-time signals and systems in time-domain, 3) analyze continuous-time and discrete-time signals and systems in frequency domain, 4) apply Laplace Transform and z-Transform to determine system behavior. |
| Program Learning Outcomes/Course Learning Outcomes | 1 | 2 | 3 | 4 |
|---|---|---|---|---|
| 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. |
Relation to Program Outcomes and Competences
| 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 | EBRU ARISOY SARAÇLAR , April 2018 |
| Course Coordinator | EBRU ARISOY SARAÇLAR |
| Semester | Spring |
| Name of Instructor | Asst. Prof. Dr. TUBA AYHAN |
Course Contents
| Week | Subject |
| 1) | Introduction to Signals and Systems |
| 2) | Linear Time-Invariant Systems |
| 3) | Linear Time-Invariant Systems |
| 4) | Fourier Series Representation of Periodic Signals |
| 5) | Fourier Series Representation of Periodic Signals |
| 6) | The Continuous-Time Fourier Transform |
| 7) | The Continuous-Time Fourier Transform/The Discrete-Time Fourier Transform |
| 8) | The Discrete-Time Fourier Transform |
| 9) | Time and Frequency Characterization of Signals and Systems |
| 10) | Sampling |
| 11) | Sampling |
| 12) | The Laplace Transform |
| 13) | The Laplace Transform/z-transform |
| 14) | The z-transform |
| 15) | Final Exam/Project/Presentation Period |
| 16) | Final Exam/Project/Presentation Period |
| Required/Recommended Readings | Oppenheim, Willsky and Nawab, Signals and Systems, 2nd edition. | |||||||||||||||
| Teaching Methods | Lectures/contact hours using “flipped classroom” as an active learning technique | |||||||||||||||
| Homework and Projects | Homework questions will be assigned to the students and there will be quizzes containing questions from the homework assignments. There will be also pop quizzes related to lecture content. | |||||||||||||||
| Laboratory Work | None | |||||||||||||||
| Computer Use | None | |||||||||||||||
| Other Activities | None | |||||||||||||||
| Assessment Methods |
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| Course Administration |
Instructor’s office and phone number: 5th Floor, (0212) 3953677 office hours: TBA email address: saraclare@mef.edu.tr Rules for attendance: - Missing a quiz: No make-up will be given. Missing a midterm: Provided that proper documents of excuse are presented, a make-up exam will be given for each missed midterm. Missing a final: Faculty regulations. A reminder of proper classroom behavior, code of student conduct: YÖK Regulations Statement on plagiarism: YÖK Regulations http://3fcampus.mef.edu.tr/uploads/cms/webadmin.mef.edu.tr/4833_2.pdf |
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ECTS Student Workload Estimation
| 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 | 4 | 84 | |||
| Quiz(zes) | 5 | 4 | 0.5 | 22.5 | |||
| Midterm(s) | 2 | 10 | 2 | 24 | |||
| Final Examination | 1 | 20 | 2 | 22 | |||
| Total Workload | 152.5 | ||||||
| Total Workload/25 | 6.1 | ||||||
| ECTS | 6 | ||||||