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 | COMP 100 | ||||||
Course Title in English | Introduction to Computer Engineering | ||||||
Course Title in Turkish | Bilgisayar Mühendisliğine Giriş | ||||||
Language of Instruction | EN | ||||||
Type of Course | Lecture | ||||||
Level of Course | Introductory | ||||||
Semester | Fall | ||||||
Contact Hours per Week |
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Estimated Student Workload | 80 hours per semester | ||||||
Number of Credits | 3 ECTS | ||||||
Grading Mode | Standard Letter Grade | ||||||
Pre-requisites | None | ||||||
Expected Prior Knowledge | None | ||||||
Co-requisites | None | ||||||
Registration Restrictions | Only Undergraduate Students | ||||||
Overall Educational Objective | To learn Computer Engineering as a profession, MEF’s Computer Engineering program, programming in Python and basics of computing systems | ||||||
Course Description | This course provides an introduction to some fundamental aspects of Computer Engineering. The following topics are covered: introduction to Computer Engineering. Employment opportunities for Computer Engineers. Research areas in Computer Engineering. Courses offered in the Computer Engineering Program at MEF. Introduction to Programming in Python and computing systems. | ||||||
Course Description in Turkish | Bu derste; Bilgisayar Mühendisliği programının temel kavramları şu konu başlıklar altında incelenmektedir: Bilgisayar mühendisliğine giriş. Bilgisayar mühendisliğinde iş olanakları. Bilgisayar mühendisliğinin araştırma alanları. Bilgisayar mühendisliği programındaki dersler. Python dilinde programlamaya giriş ve bilgisayar sistemlerine giriş. |
Course Learning Outcomes and CompetencesUpon successful completion of the course, the learner is expected to be able to:1) recognize the Computer Engineering program and its continuous improvement; 2) explain the professional and ethical responsibilities of an Computer engineer; 3) describe the basic concepts and formal design process in Computer Engineering; 4) function effectively on a team; 5) prepare a technical report and verbal presentation about a state of the art application in the field of Computer Engineering; 6) identify computer engineering problems, solutions, and application areas; 7) acquire and apply new knowledge as needed; |
Program Learning Outcomes/Course Learning Outcomes | 1 | 2 | 3 | 4 | 5 | 6 | 7 |
---|---|---|---|---|---|---|---|
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 | MUHİTTİN GÖKMEN , November 2023 |
Course Coordinator | ŞENİZ DEMİR |
Semester | Fall |
Name of Instructor | Assoc. Prof. Dr. ŞENİZ DEMİR |
Week | Subject |
1) | Introduction to Computer Engineering |
2) | Computer Engineering at MEF |
3) | Software Engineering § Algorithms |
4) | Algorithm development by iterative improvement |
5) | Programming with Python – variables,expressions |
6) | Programming with Python – conditional expressions, loops |
7) | Programming with Python - functions |
8) | Programming with Python – strings, files, listes, tuples, dictionaries |
9) | Introduction to Computing Systems – Layers of abstraction |
10) | Introduction to Computing Systems – Bits, data types, operations |
11) | Introduction to Computing Systems – Digital logic structures |
12) | Introduction to Computing Systems – The Von Neumann Model |
13) | Invited talk: Employment Opportunities |
14) | Student presentations |
15) | Final Exam/Project/Presentation |
16) | Final Exam/Project/Presentation |
Required/Recommended Readings | D. I. Schneider, An Introduction to Programming Using Python with MyProgrammingLab, Global Edition, Pearson, 2016. Y. N. Patt, and S. J. Patel, Introduction to Computing Systems, from bits & gates to C & beyond, Second Edition, McGraw-Hill, 2004. | ||||||||||||||||||
Teaching Methods | Lecturing in the class. Teamwork in the project | ||||||||||||||||||
Homework and Projects | Coding Project and Assignments | ||||||||||||||||||
Laboratory Work | None | ||||||||||||||||||
Computer Use | For Programming with Python | ||||||||||||||||||
Other Activities | Poster presentation, report | ||||||||||||||||||
Assessment Methods |
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Course Administration |
gokmenm@mef.edu.tr 0 212 395 36 26 Instructor’s office and phone number, office hours, email address: To be announced -Office: 5th Floor, #18 Rules for attendance, late submissions, missing an exam, etc.: To be announced A reminder of proper classroom behavior, code of student conduct: To be announced 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 | 1 | 1 | 28 | |||
Laboratory | 6 | 2 | 2 | 24 | |||
Project | 2 | 6 | 1 | 14 | |||
Homework Assignments | 2 | 1 | 2 | ||||
Midterm(s) | 2 | 4 | 2 | 12 | |||
Total Workload | 80 | ||||||
Total Workload/25 | 3.2 | ||||||
ECTS | 3 |