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 2023-2024 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 is no prerequisite.

Resources

Invitation to Computer Science G.Michael Schneider & Judith Gersting, 5th Ed, 2012

Notes

Invitation to Computer Science G.Michael Schneider & Judith Gersting, 5th Ed, 2012


Course Learning Outcomes

Order Course Learning Outcomes
LO01 Learn and use number systems
LO02 Design with logic gates
LO03 Design with Karnaugh maps
LO04 Design of combinational logic circuits


Relation with Program Learning Outcome

Order Type Program Learning Outcomes Level
PLO01 Bilgi - Kuramsal, Olgusal Has capability in the fields of mathematics, science and computer that form the foundations of engineering 5
PLO02 Bilgi - Kuramsal, Olgusal Identifies, formulates, and solves engineering problems, selects and applies appropriate analytical methods and modeling techniques,
PLO03 Bilgi - Kuramsal, Olgusal Analyzes a system, its component, or process and designs under realistic constraints to meet the desired requirements,gains the ability to apply the methods of modern design accordingly. 4
PLO04 Bilgi - Kuramsal, Olgusal Ability to use modern techniques and tools necessary for engineering practice and information technologies effectively. 2
PLO05 Bilgi - Kuramsal, Olgusal Ability to design and to conduct experiments, to collect data, to analyze and to interpret results 4
PLO06 Bilgi - Kuramsal, Olgusal Has ability to work effectively as an individual and in multi-disciplinary teams, take sresponsibility and builds self-confidence 4
PLO07 Beceriler - Bilişsel, Uygulamalı Can access information,gains the ability to do resource research and uses information resources
PLO08 Beceriler - Bilişsel, Uygulamalı Awareness of the requirement of lifelong learning, to follow developments in science and technology and continuous self-renewal ability 3
PLO09 Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği Ability to communicate effectively orally and in writing, and to read and understand technical publications in at least one foreign language 4
PLO10 Yetkinlikler - Öğrenme Yetkinliği Professional and ethical responsibility,
PLO11 Yetkinlikler - Öğrenme Yetkinliği Awareness about project management, workplace practices, employee health, environmental and occupational safety, and the legal implications of engineering applications, 3
PLO12 Yetkinlikler - Öğrenme Yetkinliği Becomes aware of universal and social effects of engineering solutions and applications, entrepreneurship and innovation, and knowledge of contemporary issues 3


Week Plan

Week Topic Preparation Methods
1 Real numbers There is no prerequisite. Öğretim Yöntemleri:
Anlatım, Tartışma
2 Decimals There is no prerequisite. Öğretim Yöntemleri:
Anlatım, Tartışma
3 Number theory There is no prerequisite. Öğretim Yöntemleri:
Anlatım, Tartışma
4 Number bases There is no prerequisite. Öğretim Yöntemleri:
Tartışma, Anlatım
5 Principles of IP addressing There is no prerequisite. Öğretim Yöntemleri:
Anlatım, Tartışma
6 IP address classes There is no prerequisite. Öğretim Yöntemleri:
Anlatım, Tartışma
7 Subnets There is no prerequisite. Öğretim Yöntemleri:
Anlatım, Tartışma
8 Mid-Term Exam There is no prerequisite. Ölçme Yöntemleri:
Yazılı Sınav
9 Subnet masks There is no prerequisite. Öğretim Yöntemleri:
Anlatım, Tartışma
10 Calculating IP address range There is no prerequisite. Öğretim Yöntemleri:
Anlatım, Tartışma
11 Introduction to probability There is no prerequisite. Öğretim Yöntemleri:
Anlatım, Tartışma
12 Basic probability concepts There is no prerequisite. Öğretim Yöntemleri:
Anlatım, Tartışma
13 Conditionall probability There is no prerequisite. Öğretim Yöntemleri:
Anlatım, Tartışma
14 Bernoulli trials There is no prerequisite. Öğretim Yöntemleri:
Anlatım, Tartışma
15 Sample of Problems There is no prerequisite. Öğretim Yöntemleri:
Anlatım, Tartışma
16 Term Exams There is no prerequisite. Ölçme Yöntemleri:
Yazılı Sınav
17 Term Exams There is no prerequisite. 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: 10.05.2023 09:59