COMP 111 Computer Programming (MATLAB)MEF UniversityDegree Programs Civil EngineeringGeneral Information For StudentsDiploma SupplementErasmus Policy Statement
Civil Engineering
Bachelor Length of the Programme: 4 Number of Credits: 240 TR-NQF-HE: Level 6 QF-EHEA: First Cycle EQF: Level 6

ECTS Course Information Package

School/Faculty/Institute Faculty of Engineering
Course Code COMP 111
Course Title in English Computer Programming (MATLAB)
Course Title in Turkish Bilgisayar Programlama (MATLAB)
Language of Instruction EN
Type of Course Flipped Classroom
Level of Course Introductory
Semester Fall
Contact Hours per Week
Lecture: 2 Recitation: Lab: 2 Other:
Estimated Student Workload 123 hours per semester
Number of Credits 5 ECTS
Grading Mode Standard Letter Grade
Pre-requisites None
Co-requisites None
Expected Prior Knowledge None
Registration Restrictions Only Undergraduate Students
Overall Educational Objective To understand fundamentals of computer programming and learn how to design and implement computer algorithms to solve basic engineering problems in MATLAB programming language.
Course Description This course provides a comprehensive introduction to fundamentals of computer programming and algorithm development. The following topics are covered: algorithms, vectors and matrices, functions, selection statements, loop statements, I/O processes, functions, plotting, structures, scripts and programs in MATLAB programming language.

Course Learning Outcomes and Competences

Upon successful completion of the course, the learner is expected to be able to:
1) Describe computer programming fundamentals.
2) Analyze technical problems and develop basic computer algorithms.
3) Construct algorithms on computer programming tools to solve engineering problems.
4) Present the results of his/her programming solutions.
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 H Exam
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 N
3) An ability to communicate effectively with a range of audiences S Project
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 SERAP KIRBIZ , December 2020
Course Coordinator SERAP KIRBIZ
Semester Fall
Name of Instructor Asst. Prof. Dr. YUSUF AYDIN

Course Contents

Week Subject
1) Introduction to MATLAB
2) Vectors and Matrices
3) Fundamentals of Programming
4) Selection Statements
5) Loop Statements-1
6) Loop Statements-2
7) String Vectors
8) Structs and Cell Arrays
9) MATLAB Programs
10) Plotting Techniques
11) File Input/output
12) Basic Statistics and Sorting
13) Advanced Concepts
14) Student Projects
15) Final Exam/Project/Presentation Period
16) Final Exam/Project/Presentation Period
Required/Recommended ReadingsTextbook: MATLAB: A Practical Introduction to Programming and Problem Solving, 3rd Edition, Stormy Attaway, ISBN-13: 978-0124058767 Reference book: Essential MATLAB for Engineers and Scientists, Fifth Edition, Brian Hahn, Daniel Valentine, ISBN-13: 978-0123943989
Teaching MethodsLectures/Laboratories/Contact hours/Flipped Learning
Homework and ProjectsTeamwork projects
Laboratory Work13 computer laboratories on programming
Computer UseIn laboratories, lab exams and project
Other Activities-
Assessment Methods
Assessment Tools Count Weight
Application 10 % 15
Quiz(zes) 3 % 15
Project 1 % 30
Midterm(s) 2 % 40
TOTAL % 100
Course Administration kirbizs@mef.edu.tr

Instructor’s office: 5th Floor office hours: Monday 14:00-16:00, Thursday 14:00-16:00 email address: kirbizs@mef.edu.tr Rules for attendance: Students attending less than 70% of the laboratories and lectures will be graded FZ. Missing a midterm: Provided that proper documents of excuse are presented, a make-up exam for lab midterm exams 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

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 0 2 28
Laboratory 13 0 2 26
Study Hours Out of Class 10 1 1 20
Project 1 15 1 16
Quiz(zes) 3 2 1 9
Midterm(s) 2 10 2 24
Total Workload 123
Total Workload/25 4.9
ECTS 5