Computer Engineering | |||||
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 109 | ||||
Course Title in English | Computer Programming (JAVA) | ||||
Course Title in Turkish | Bilgisayar Programlama (JAVA) | ||||
Language of Instruction | EN | ||||
Type of Course | Exercise,Flipped Classroom,Lecture | ||||
Level of Course | Introductory | ||||
Semester | Spring,Fall | ||||
Contact Hours per Week |
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Estimated Student Workload | 151 hours per semester | ||||
Number of Credits | 6 ECTS | ||||
Grading Mode | Standard Letter Grade | ||||
Pre-requisites | None | ||||
Expected Prior Knowledge | Basic mathematics knowledge | ||||
Co-requisites | None | ||||
Registration Restrictions | Only Undergraduate Students | ||||
Overall Educational Objective | To learn fundamentals of computer programming, how to design and implement computer algorithms to solve basic engineering problems in Java programming language. | ||||
Course Description | This course provides a comprehensive understanding of computer programming. The following topics are covered: Fundamentals of computers and computer programming; variables and data types; control flow and conditionals; functions; loops; methods and debugging; single and multi-dimensional arrays. | ||||
Course Description in Turkish | Bu ders, bilgisayar programlamanın kapsamlı bir şekilde anlaşılmasını sağlamaktadır. Aşağıdaki konular işlenmektedir: Bilgisayar programlamanın temelleri, program control, fonksiyonlar, diziler, katarlar, işaretçiler, dosya işleme ve yapılar. |
Course Learning Outcomes and CompetencesUpon successful completion of the course, the learner is expected to be able to:1) identify, formulate, and solve fundamental computer science and basic engineering problems by applying principles of engineering, science, and mathematics; 2) recognize ethical and professional responsibilities related to computer science and while providing informed judgments under restricted contexts; 3) acquire and apply fundamentals of computers and computer programming as needed, using appropriate learning strategies. |
Program Learning Outcomes/Course Learning Outcomes | 1 | 2 | 3 |
---|---|---|---|
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. |
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,HW,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 | N | |
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 | S | Exam,HW,Lab |
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. | H | Exam,HW,Lab |
Prepared by and Date | TUNA ÇAKAR , March 2024 |
Course Coordinator | TUNA ÇAKAR |
Semester | Spring,Fall |
Name of Instructor | Prof. Dr. ADEM KARAHOCA |
Week | Subject |
1) | Introduction to Computers&Programming |
2) | Variables and Data Types I |
3) | Variables and Data Types II |
4) | Control Flow and Conditionals I |
5) | Control Flow and Conditionals II |
6) | Functions I |
7) | Functions II |
8) | Functions III |
9) | Loops I |
10) | Loops II |
11) | Methods and Debugging I |
12) | Methods and Debugging II |
13) | Single-Dimensional Arrays |
14) | Multi-Dimensional Arrays |
15) | Final Examination Period |
16) | Final Examination Period |
Required/Recommended Readings | Intro. to Java Programming: Comprehensive Ed. (11th Ed., Pearson, 2014), Daniel Liang. | ||||||||||||||||||||||||
Teaching Methods | Flipped classroom. Students work individually for assignments. | ||||||||||||||||||||||||
Homework and Projects | Assignments | ||||||||||||||||||||||||
Laboratory Work | Laboratory study | ||||||||||||||||||||||||
Computer Use | Required | ||||||||||||||||||||||||
Other Activities | none | ||||||||||||||||||||||||
Assessment Methods |
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Course Administration |
cakart@mef.edu.tr 0 212 395 37 45 Instructor’s office: 5th floor Phone number: 0 212 395 37 50 Office hours: After the lecture hours. E-mail address: cakart@mef.edu.tr Statement on 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 | 3 | 56 | |||
Laboratory | 10 | 1 | 2 | 1 | 40 | ||
Homework Assignments | 5 | 1 | 3 | 20 | |||
Midterm(s) | 1 | 10 | 2 | 12 | |||
Final Examination | 1 | 20 | 3 | 23 | |||
Total Workload | 151 | ||||||
Total Workload/25 | 6.0 | ||||||
ECTS | 6 |