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
Lecture: 1 Recitation: none Lab: 2 Other: none
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 Competences

Upon 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.

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 MUHİTTİN GÖKMEN , November 2023
Course Coordinator ŞENİZ DEMİR
Semester Fall
Name of Instructor Assoc. Prof. Dr. ŞENİZ DEMİR

Course Contents

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 ReadingsD. 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 MethodsLecturing in the class. Teamwork in the project
Homework and ProjectsCoding Project and Assignments
Laboratory WorkNone
Computer UseFor Programming with Python
Other ActivitiesPoster presentation, report
Assessment Methods
Assessment Tools Count Weight
Attendance 42 % 0
Quiz(zes) 2 % 20
Project 1 % 40
Midterm(s) 2 % 40
TOTAL % 100
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

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 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