Information Package / Course Catalogue
COMP 205 Systems Programming
MEF University
Degree Programs
Computer Engineering
General Information For Students
Diploma SupplementErasmus Policy Statement
Computer Engineering
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 COMP 205
Course Title in English Systems Programming
Course Title in Turkish Sistem Programlama
Language of Instruction EN
Type of Course Exercise,Flipped Classroom,Lecture
Level of Course Introductory
Semester Fall
Contact Hours per Week
Lecture: 3 Recitation: none Lab: 2 Other: none
Estimated Student Workload 156 hours per semester
Number of Credits 6 ECTS
Grading Mode Standard Letter Grade
Pre-requisites COMP 105 - Computer Programming (C) | COMP 109 - Computer Programming (JAVA)
Expected Prior Knowledge Basic programming knowledge
Co-requisites None
Registration Restrictions Only Undergraduate Students
Overall Educational Objective To learn fundamentals of systems programming concepts and construct basic system software using C programming language on UNIX-based environment.
Course Description This course covers the fundamentals of systems programming concepts such as machine-level representation of programs, processor architecture, memory hierarchy, linking, exceptional control flow, virtual memory, and system-level I/O. Application of these concepts are realized in C programming language on UNIX-based environment.
Course Description in Turkish Bu ders sistem programlama kavramlarının temellerini içerir (makine seviyesi program gösterimi, işlemci mimarisi, hafıza, kontrol akışı, sanal hafıza ve sistem seviyesinde girdi/çıktı). Kavramların uygulaması, UNIX tabanlı sistemlerde C programlama dili kullanılarak yapılır

Course Learning Outcomes and Competences

Upon successful completion of the course, the learner is expected to be able to:
1) comprehend basic systems programming concepts;
2) use UNIX-based environment;
3) use C programming language to design algorithms;
4) design basic systems software to solve simple engineering problems.
Program Learning Outcomes/Course Learning Outcomes 1 2 3 4
1) An ability to identify, formulate, and solve complex engineering problems by applying principles of engineering, science, and mathematics
2) An ability to apply engineering design to produce solutions that meet specified needs with consideration of public health, safety, and welfare, as well as global, cultural, social, environmental, and economic factors
3) An ability to communicate effectively with a range of audiences
4) An ability to recognize ethical and professional responsibilities in engineering situations and make informed judgments, which must consider the impact of engineering solutions in global, economic, environmental, and societal contexts
5) An ability to function effectively on a team whose members together provide leadership, create a collaborative and inclusive environment, establish goals, plan tasks, and meet objectives
6) An ability to develop and conduct appropriate experimentation, analyze and interpret data, and use engineering judgment to draw conclusions
7) An ability to acquire and apply new knowledge as needed, using appropriate learning strategies.

Relation to Program Outcomes and Competences

N None S Supportive H Highly Related
     
Program Outcomes and Competences Level Assessed by
1) An ability to identify, formulate, and solve complex engineering problems by applying principles of engineering, science, and mathematics S Exam,Lab
2) An ability to apply engineering design to produce solutions that meet specified needs with consideration of public health, safety, and welfare, as well as global, cultural, social, environmental, and economic factors H Exam,Lab,Project
3) An ability to communicate effectively with a range of audiences N
4) An ability to recognize ethical and professional responsibilities in engineering situations and make informed judgments, which must consider the impact of engineering solutions in global, economic, environmental, and societal contexts N
5) An ability to function effectively on a team whose members together provide leadership, create a collaborative and inclusive environment, establish goals, plan tasks, and meet objectives N
6) An ability to develop and conduct appropriate experimentation, analyze and interpret data, and use engineering judgment to draw conclusions N
7) An ability to acquire and apply new knowledge as needed, using appropriate learning strategies. N
Prepared by and Date BUSE YILMAZ , February 2024
Course Coordinator BUSE YILMAZ
Semester Fall
Name of Instructor Asst. Prof. Dr. BUSE YILMAZ

Course Contents

Week Subject
1) Introduction to Systems Programming & UNIX-based systems
2) More on UNIX-based systems and Linux Distros
3) Basic UNIX commands & system navigation
4) Shell Programming
5) Shell Programming
6) C Programming: Fundamentals of C Programming & Midterm #1
7) C Programming: functions
8) C Programming: pointers & arrays
9) C Programming: characters and strings
10) C Programming: composite Data Type
11) C Programming: dynamic Memory Allocation & Midterm #2
12) C Programming: file Processing (System-Level I/O)
13) C Programming: C preprocessor
14) C Programming: program organization & miscellaneous topics
15) Final Exam/Project/Presentation Period
16) Final Exam/Project/Presentation Period
Required/Recommended ReadingsComputer Systems: A Programmer's Perspective by Randal E. Bryant, David R. O'Hallaron (3rd Edition) Your UNIX/Linux: The Ultimate Guide by Sumitabha Das (3rd Edition) C How to Program by Paul Deitel and Harvey Deitel (8th Edition) Problem Solving and Program Design in C by Hanly & Koffman (7thed.)
Teaching MethodsFlipped classroom. Students work individually for assignments and in groups for the project
Homework and ProjectsLab practices and Homeworks, Project
Laboratory Workyes
Computer UseRequired
Other Activitiesnone
Assessment Methods
Assessment Tools Count Weight
Laboratory 7 % 20
Quiz(zes) 5 % 10
Project 1 % 10
Midterm(s) 2 % 60
TOTAL % 100
Course Administration yilmazbuse@mef.edu.tr
+90 212 395 3719
Instructor’s office and phone number, office hours, email address: - Office: 556 - Phone number: +90 212 395 3719 - Email address: yilmazbuse@mef.edu.tr Rules for attendance: No attendance required. Missing a lab practice: Lab practices will start at the beginning of each lab session and end at the end of 2-hours period. Any submission not completed by the end of the session will receive partial credit. No grade will be given to a lab practice if the student does not attend that lab session. Provided that proper documents of excuse (e.g., health issues) are presented, each missed lab practice by the student will be given a grade which is equal to the average of all of the other lab practices (up to 2). No make-up will be given. A student who does not complete all lab practices will not receive any grade for 20% of the course (lab practices). Missing the quizzes & hws: No make-up for the quizzes or the homeworks will be given. On late submissions, first day 10 points, second day 20 points, and third day 30 points deduction of the earned grade. No grade will be given to submissions after the third day. Missing a midterm: Provided that proper documents of excuse are presented, the other midterm grade will be given as the missed midterm grade. No make-up for the missed midterm will be given. If both midterms are missed the midterms will be given the average of all other scores. A reminder of proper classroom behavior, code of student conduct: YÖK Statement on 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 2 3 70
Laboratory 5 2 2 20
Presentations / Seminar 1 1 3 4
Project 5 1 3 20
Midterm(s) 2 16 3 38
Paper Submission 1 3 1 4
Total Workload 156
Total Workload/25 6.2
ECTS 6