Information
Code | CEN117 |
Name | Introduction to Computer Engineering |
Term | 2024-2025 Academic Year |
Semester | 1. Semester |
Duration (T+A) | 3-0 (T-A) (17 Week) |
ECTS | 6 ECTS |
National Credit | 3 National Credit |
Teaching Language | İngilizce |
Level | Lisans Dersi |
Type | Normal |
Mode of study | Yüz Yüze Öğretim |
Catalog Information Coordinator | Prof. Dr. MEHMET FATİH AKAY |
Course Instructor |
Dr. Öğr. Üyesi Elif Emel FIRAT
(A Group)
(Ins. in Charge)
|
Course Goal / Objective
To introduce the student with principles of computer engineering
Course Content
Number systems, Introduction to computer networks, IP addresses, Subnets, Subnet masks, Logic gates, Karnaugh maps, Basic probability
Course Precondition
There are no prerequisites.
Resources
Glenn Brooksheer, Computer science: An overview, 13th Edition
Notes
Glenn Brooksheer, Computer science: An overview, 13th Edition
Course Learning Outcomes
Order | Course Learning Outcomes |
---|---|
LO01 | Knows the basic concepts of computer engineering |
LO02 | Explains the working principles of algorithms |
LO03 | Knows data storage, operating systems and network technologies |
LO04 | Identifies different programming languages and software development processes |
Relation with Program Learning Outcome
Order | Type | Program Learning Outcomes | Level |
---|---|---|---|
PLO01 | Bilgi - Kuramsal, Olgusal | Adequate knowledge of mathematics, science and related engineering disciplines; ability to use theoretical and applied knowledge in these fields in solving complex engineering problems. | |
PLO02 | Bilgi - Kuramsal, Olgusal | Ability to identify, formulate and solve complex engineering problems; ability to select and apply appropriate analysis and modeling methods for this purpose. | |
PLO03 | Bilgi - Kuramsal, Olgusal | 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. | |
PLO04 | Bilgi - Kuramsal, Olgusal | Ability to select and use modern techniques and tools necessary for the analysis and solution of complex problems encountered in engineering practice; ability to use information technologies effectively. | |
PLO05 | Bilgi - Kuramsal, Olgusal | Ability to design and conduct experiments, collect data, analyze and interpret results to investigate complex engineering problems or discipline-specific research topics. | |
PLO06 | Bilgi - Kuramsal, Olgusal | Ability to work effectively in interdisciplinary and multidisciplinary teams; individual working skills. | |
PLO07 | Bilgi - Kuramsal, Olgusal | Ability to communicate effectively verbally and in writing; knowledge of at least one foreign language; ability to write effective reports and understand written reports, prepare design and production reports, make effective presentations, and give and receive clear and understandable instructions. | |
PLO08 | Bilgi - Kuramsal, Olgusal | Awareness of the necessity of lifelong learning; ability to access information, follow developments in science and technology, and constantly renew oneself. | 4 |
PLO09 | Bilgi - Kuramsal, Olgusal | Knowledge of ethical principles, professional and ethical responsibility, and standards used in engineering practice. | 5 |
PLO10 | Bilgi - Kuramsal, Olgusal | Knowledge of business practices such as project management, risk management and change management; awareness of entrepreneurship and innovation; knowledge of sustainable development. | |
PLO11 | Bilgi - Kuramsal, Olgusal | Knowledge of the effects of engineering practices on health, environment and safety in universal and social dimensions and the problems of the age reflected in the field of engineering; awareness of the legal consequences of engineering solutions. |
Week Plan
Week | Topic | Preparation | Methods |
---|---|---|---|
1 | Introduction, Study of Algorithms, History of Computers | Reading lecture notes | Öğretim Yöntemleri: Anlatım, Tartışma |
2 | Data Storage (binary system, bits, bit patterns) | Reading the lecture notes | Öğretim Yöntemleri: Anlatım, Tartışma |
3 | Data Storage (memory, data representation), CPU, Arithmetic/Logic Instructions | Reading the lecture notes | Öğretim Yöntemleri: Anlatım, Tartışma |
4 | Operating Systems (Evolution, Architecture) | Reading the lecture notes | Öğretim Yöntemleri: Tartışma, Anlatım |
5 | Networks and Internet | Reading the lecture notes | Öğretim Yöntemleri: Anlatım, Tartışma |
6 | Network Protocols, Security | Reading the lecture notes | Öğretim Yöntemleri: Anlatım, Tartışma |
7 | Algorithms(Concept, Representation, Iterative & Recursive Structures) | Reading the lecture notes | Öğretim Yöntemleri: Anlatım, Tartışma |
8 | Mid-Term Exam | Reading the lecture notes | Ölçme Yöntemleri: Yazılı Sınav |
9 | Algorithms (Efficiency & Correctness) | Reading the lecture notes | Öğretim Yöntemleri: Anlatım, Tartışma |
10 | Programming Languages | Reading the lecture notes | Öğretim Yöntemleri: Anlatım, Tartışma |
11 | Software Engineering | Reading the lecture notes | Öğretim Yöntemleri: Anlatım, Tartışma |
12 | Data Structures | Reading the lecture notes | Öğretim Yöntemleri: Anlatım, Tartışma |
13 | File Organization | Reading the lecture notes | Öğretim Yöntemleri: Anlatım, Tartışma |
14 | Database Systems | Reading the lecture notes | Öğretim Yöntemleri: Anlatım, Tartışma |
15 | Sample of Problems | Reading the lecture notes | Öğretim Yöntemleri: Anlatım, Tartışma |
16 | Term Exams | Reading the lecture notes | Ölçme Yöntemleri: Yazılı Sınav |
17 | Term Exams | Reading the lecture notes | Ölçme Yöntemleri: Yazılı Sınav |
Student Workload - ECTS
Works | Number | Time (Hour) | Workload (Hour) |
---|---|---|---|
Course Related Works | |||
Class Time (Exam weeks are excluded) | 14 | 3 | 42 |
Out of Class Study (Preliminary Work, Practice) | 14 | 5 | 70 |
Assesment Related Works | |||
Homeworks, Projects, Others | 0 | 0 | 0 |
Mid-term Exams (Written, Oral, etc.) | 1 | 15 | 15 |
Final Exam | 1 | 30 | 30 |
Total Workload (Hour) | 157 | ||
Total Workload / 25 (h) | 6,28 | ||
ECTS | 6 ECTS |