CEN117 Introduction to Computer Engineering

6 ECTS - 3-0 Duration (T+A)- 1. Semester- 3 National Credit

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

Update Time: 20.11.2024 03:54