Computer Engineering
Course Details
KTO KARATAY UNIVERSITY
Mühendislik ve Doğa Bilimleri Fakültesi
Programme of Computer Engineering
Course Details
Mühendislik ve Doğa Bilimleri Fakültesi
Programme of Computer Engineering
Course Details
| Course Code | Course Name | Year | Period | Semester | T+A+L | Credit | ECTS |
|---|---|---|---|---|---|---|---|
| 05010011 | Introduction to Algorithms | 1 | Autumn | 1 | 3+0+0 | 3 | 6 |
| Course Type | Compulsory |
| Course Cycle | Bachelor's (First Cycle) (TQF-HE: Level 6 / QF-EHEA: Level 1 / EQF-LLL: Level 6) |
| Course Language | Turkish |
| Methods and Techniques | - |
| Mode of Delivery | Face to Face |
| Prerequisites | - |
| Coordinator | - |
| Instructor(s) | Asst. Prof. Şekip Engin MENDİ |
| Instructor Assistant(s) | - |
Course Instructor(s)
| Name and Surname | Room | E-Mail Address | Internal | Meeting Hours |
|---|---|---|---|---|
| Asst. Prof. Şekip Engin MENDİ | A-123 | [email protected] | 7244 | Thursday 14:00-15:00 |
Course Content
Iterative and recursive programming techniques. Functions and parameter passing. Pointers and dynamic storage allocation. Multidimensional arrays. Record structures. File systems and file processing. Documentation and testing. Introduction to object oriented programming.
Objectives of the Course
To teach the students basic algorithm and programming information and ability. Also to maintain the information for learning new programming languages in shorter times.
Contribution of the Course to Field Teaching
| Basic Vocational Courses | X |
| Specialization / Field Courses | |
| Support Courses | |
| Transferable Skills Courses | |
| Humanities, Communication and Management Skills Courses |
Relationships between Course Learning Outcomes and Program Outcomes
| Relationship Levels | ||||
| Lowest | Low | Medium | High | Highest |
| 1 | 2 | 3 | 4 | 5 |
| # | Program Learning Outcomes | Level |
|---|---|---|
| P1 | Adequate knowledge in mathematics, science and related engineering discipline accumulation; theoretical and practical knowledge in these areas, complex engineering the ability to use in problems. | 5 |
| P2 | Ability to identify, formulate, and solve complex engineering problems; ability to select and apply appropriate analysis and modeling methods for this purpose | 5 |
| P3 | Ability to design a complex system, process, device or product to meet specific requirements under realistic constraints and conditions; ability to apply modern design methods for this purpose | 5 |
Course Learning Outcomes
| Upon the successful completion of this course, students will be able to: | |||
|---|---|---|---|
| No | Learning Outcomes | Outcome Relationship | Measurement Method ** |
| O1 | Mathematical models of engineering problems are created and simulated | P.1.6 | 1,4 |
| O2 | Knowledge of algorithm design and analysis techniques. | P.2.5 | 1 |
| O3 | Knowledge of the basic elements of the computer and microprocessor and how to choose the right component. | P.3.2 | 1 |
| O4 | Learning at least one object-oriented programming language. | P.3.3 | |
| O5 | Knowledge and use of software development platforms. | P.3.5 | 4 |
| O6 | Writing control algorithms on microprocessors. | P.3.22 | 4 |
| ** Written Exam: 1, Oral Exam: 2, Homework: 3, Lab./Exam: 4, Seminar/Presentation: 5, Term Paper: 6, Application: 7 | |||
Weekly Detailed Course Contents
| Week | Topics |
|---|---|
| 1 | Iterative and recursive programming techniques |
| 2 | Functions and parameter passing |
| 3 | Pointers and dynamic storage allocation |
| 4 | Multidimensional arryas |
| 5 | Record structures |
| 6 | File systems and file processing |
| 7 | Documentation and testing |
| 8 | Introduction to object oriented programming |
| 9 | Operator overloading |
| 10 | Inheritance, multi-inheritance, abstract base class, polymorphisms |
| 11 | Inline Functions, Nested and Local Class Definitions |
| 12 | Exception handling |
| 13 | Multifile programs |
| 14 | Template, standart template library (stl) |
Textbook or Material
| Resources | Robert Lafore, Object Oriented Programming in C++, Sams, 2001 |
Evaluation Method and Passing Criteria
| In-Term Studies | Quantity | Percentage |
|---|---|---|
| Attendance | - | - |
| Laboratory | - | - |
| Practice | 5 | 20 (%) |
| Course Specific Internship (If Any) | - | - |
| Homework | - | - |
| Presentation | - | - |
| Projects | - | - |
| Quiz | - | - |
| Midterms | 1 | 30 (%) |
| Final Exam | 1 | 50 (%) |
| Total | 100 (%) | |
ECTS / Working Load Table
| Quantity | Duration | Total Work Load | |
|---|---|---|---|
| Course Week Number and Time | 14 | 3 | 42 |
| Out-of-Class Study Time (Pre-study, Library, Reinforcement) | 14 | 3 | 42 |
| Midterms | 1 | 30 | 30 |
| Quiz | 0 | 0 | 0 |
| Homework | 0 | 0 | 0 |
| Practice | 0 | 0 | 0 |
| Laboratory | 5 | 14 | 70 |
| Project | 0 | 0 | 0 |
| Workshop | 0 | 0 | 0 |
| Presentation/Seminar Preparation | 0 | 0 | 0 |
| Fieldwork | 0 | 0 | 0 |
| Final Exam | 1 | 30 | 30 |
| Other | 0 | 0 | 0 |
| Total Work Load: | 214 | ||
| Total Work Load / 30 | 7,13 | ||
| Course ECTS Credits: | 7 | ||
Course - Learning Outcomes Matrix
| Relationship Levels | ||||
| Lowest | Low | Medium | High | Highest |
| 1 | 2 | 3 | 4 | 5 |
| # | Learning Outcomes | P1 | P2 | P3 |
|---|---|---|---|---|
| O1 | Mathematical models of engineering problems are created and simulated | 2 | - | - |
| O2 | Knowledge of algorithm design and analysis techniques. | - | 1 | - |
| O3 | Knowledge of the basic elements of the computer and microprocessor and how to choose the right component. | - | - | 3 |
| O4 | Learning at least one object-oriented programming language. | - | - | 4 |
| O5 | Knowledge and use of software development platforms. | - | - | 2 |
| O6 | Writing control algorithms on microprocessors. | - | - | 1 |