Introduction to Computer Engineering(INF101)
| Course Code | Course Name | Semester | Theory | Practice | Lab | Credit | ECTS |
|---|---|---|---|---|---|---|---|
| INF101 | Introduction to Computer Engineering | 1 | 1 | 1 | 0 | 1,5 | 2 |
| Prerequisites | |
| Admission Requirements |
| Language of Instruction | French |
| Course Type | Compulsory |
| Course Level | Bachelor Degree |
| Course Instructor(s) | B. Atay ÖZGÖVDE aozgovde@gsu.edu.tr (Email) |
| Assistant | |
| Objective |
• Treats computer engineering as a discipline and introduces all sub-titles on this subject. • Transfers the basic concepts of algorithm design and programming without being bound to any programming language. • Introduces the research laboratories established in Galatasaray University Computer Engineering and informs them about the ongoing research projects. • Presents the software concept in all its aspects and conveys the production processes of the software • Provides the opportunity to work and cooperate with the faculty members and new students. |
| Content |
1 week. Introduction, introduction, introduction of the course 2 weeks. Distributed Systems & Applications Three weeks. Software Development Processes 4th week. World of Programming Languages 5th week. Complex Networks and Analysis 6th week. Artificial Intelligence Algorithms and Approaches 7th week. Biomedical Applications 8th week. Algorithm Design -1 9th week. Algorithm Design -2 week 10. Semantic Web 11th week. Programming - 1 12th week. Human Machine Interface 13th week. Programming - 2 14th week. Robotics and Applications |
| Course Learning Outcomes |
Students who successfully complete this course: LO1: Draw the distinction of computer engineering discipline from other disciplines (Electrical Electronics, Control, Mathematics, Computer Sciences) as a subject. LO 2: Comprehend the flow and course priorities of the basic subjects of computer engineering in the curriculum LO3: Explain software production processes, list the differences between software and program. LO4: Realize basic algorithm designs. LO5: Define algorithm performance criteria. |
| Teaching and Learning Methods | Face-to-face presentation, hands-on assignment and project with hardware components. |
| References | Lecture notes |
Theory Topics
| Week | Weekly Contents |
|---|---|
| 1 | introduction of the course |
| 2 | Distributed Systems & Applications |
| 3 | Software Development Processe |
| 4 | World of Programming Languages |
| 5 | Complex Networks and Analysis |
| 6 | Artificial Intelligence Algorithms and Approaches |
| 7 | Biomedical Applications |
| 8 | Algorithm Design -1 |
| 9 | Semantic Web |
| 10 | Programming - 1 |
| 11 | Human Machine Interface |
| 12 | Programming - 2 |
| 13 | Algorithm Design -2 |
| 14 | Robotics and Applications |
Practice Topics
| Week | Weekly Contents |
|---|
Contribution to Overall Grade
| Number | Contribution | |
|---|---|---|
| Contribution of in-term studies to overall grade | 5 | 60 |
| Contribution of final exam to overall grade | 1 | 40 |
| Toplam | 6 | 100 |
In-Term Studies
| Number | Contribution | |
|---|---|---|
| Assignments | 2 | 15 |
| Presentation | 1 | 10 |
| Midterm Examinations (including preparation) | 1 | 20 |
| Project | 1 | 15 |
| Laboratory | 0 | 0 |
| Other Applications | 0 | 0 |
| Quiz | 0 | 0 |
| Term Paper/ Project | 0 | 0 |
| Portfolio Study | 0 | 0 |
| Reports | 0 | 0 |
| Learning Diary | 0 | 0 |
| Thesis/ Project | 0 | 0 |
| Seminar | 0 | 0 |
| Other | 0 | 0 |
| Toplam | 5 | 60 |
| No | Program Learning Outcomes | Contribution | ||||
|---|---|---|---|---|---|---|
| 1 | 2 | 3 | 4 | 5 | ||
| Activities | Number | Period | Total Workload |
|---|---|---|---|
| Class Hours | 13 | 2 | 26 |
| Assignments | 2 | 3 | 6 |
| Presentation | 1 | 3 | 3 |
| Midterm Examinations (including preparation) | 1 | 10 | 10 |
| Project | 1 | 8 | 8 |
| Final Examinations (including preparation) | 1 | 8 | 8 |
| Total Workload | 61 | ||
| Total Workload / 25 | 2,44 | ||
| Credits ECTS | 2 | ||