Civil Engineering (English)
Bachelor	TR-NQF-HE: Level 6	QF-EHEA: First Cycle	EQF-LLL: Level 6

General course introduction information

Course Code:

EEE462

Course Name:

Analog to Digital and Digital to Analog Converters

Course Semester:

Fall

Course Credits:

Theoretical	Practical	Credit	ECTS
3	0	3	5

Language of instruction:

Course Requisites:

Does the Course Require Work Experience?:

Type of course:

Compulsory

Course Level:

Bachelor

TR-NQF-HE:6. Master`s Degree

QF-EHEA:First Cycle

EQF-LLL:6. Master`s Degree

Mode of Delivery:

Face to face

Course Coordinator :

Assoc. Prof. ÖMER CİHAN KIVANÇ

Course Lecturer(s):

Course Assistants:

Course Objective and Content

Course Objectives:	This course focuses on Digital to Analog and Analog to Digital converters. Different types of ADC and DACs are explained and their operating techniques are covered.
Course Content:	Fundamental parameters of ADC and DAC, Nyquist-Rate DAC, Nyquist-Rate ADC, Oversampling DAC and ADC, Sample and Hold, Voltage and Current References, Comparator

Learning Outcomes

The students who have succeeded in this course;

Learning Outcomes

1 - Knowledge
Theoretical - Conceptual
1) Understanding of fundamental performance parameters of DAC and ADC
2) Understanding of operations of DAC and ADC
3) Ability to analyze DAC and ADC measurement results
4) Ability to design Digital-to-Analog Converters
5) Ability to design Analog-to-Digital Converters
2 - Skills
Cognitive - Practical
3 - Competences
Communication and Social Competence
Learning Competence
Field Specific Competence
Competence to Work Independently and Take Responsibility

Lesson Plan

Week	Subject	Related Preparation
1)	Logic Functions, Gates and Metrics	None
2)	Review MOS Transistor Theory; NMOS Inverter with Resistor Load	None
3)	NMOS Interter with Saturated Load; NMOS Interter with Depletion Load	None
4)	NMOS Logic Gates	None
5)	CMOS Inverter	None
6)	CMOS Logic Gates-Clocked CMOS; Transmission Gates	None
7)	Sequential Logic Gates; Memories	None
8)	RAM Memory Cells; ROM Memory	None
9)	Digital to Analog Converters (DAC); Analog to Digital Converters (ADC)	None
10)	Diode Transistor Logic (DTL) Gates: Emitter Coupled Logic (ECL)	None
11)	Transistor Transistor Logic (TTL) Gates	None
12)	Schottky TTL and BiCMOS Digital Circuits; Schmitt Trigger Circuits	None
13)	Astable and Monostable Multivibrators; 555 Timer Circuit	None
14)	Voltage Regulators; Oscillators	None

Sources

Course Notes / Textbooks:	Analog Integrated Circuit Design, David A. Johns, Ken Martin, ISBN: 978-0-471-14448-9
References:	Integrated Analog-to-Digital and Digital-to-Analog Converters, Rudy Van De Plassche, ISBN: 0-7923-9436-4 Understanding Delta-Sigma Data Converters, Richard Schreier, Gabor C. Temes, ISBN: 0-471-46585-2

Course-Program Learning Outcome Relationship

Learning Outcomes	1	2	3	4	5
Program Outcomes
1) Adequate knowledge in mathematics, science and engineering subjects pertaining to the relevant discipline; ability to use theoretical and applied information in these areas to model and solve engineering problems.
2) Ability to identify, formulate, and solve complex engineering problems; ability to select and apply proper analysis and modelling methods for this purpose.
3) Ability to design a complex system, process, device or product under realistic constraints and conditions, in such a way so as to meet the desired result; ability to apply modern design methods for this purpose. (Realistic constraints and conditions may include factors such as economic and environmental issues, sustainability, manufacturability, ethics, health, safety issues, and social and political issues according to the nature of the design.)
4) Ability to select and use modern techniques and tools needed for analyzing and solving complex problems encountered in engineering practice; ability to employ information technologies effectively.
5) Ability to design and conduct experiments, gather data, analyze and interpret results for investigating complex engineering problems or discipline specific research questions.
6) Ability to work efficiently in intra-disciplinary and multi-disciplinary teams; ability to work individually.
7) Ability to communicate effectively, both orally and in writing; knowledge of a minimum of one foreign language; ability to write effective reports and comprehend written reports, prepare design and production reports, make effective presentations, and give and receive clear and intelligible instructions.
8) Recognition of the need for lifelong learning; ability to access information, to follow developments in science and technology, and to continue to educate him/herself.
9) Knowledge on behavior according ethical principles, professional and ethical responsibility and standards used in engineering practices.
10) Knowledge about business life practices such as project management, risk management, and change management; awareness in entrepreneurship, innovation; knowledge about sustainable development.
11) Knowledge about contemporary issues and the global and societal effects of engineering practices on health, environment, and safety; awareness of the legal consequences of engineering solutions.

Course - Learning Outcome Relationship

No Effect	1 Lowest	2 Low	3 Average	4 High	5 Highest

	Program Outcomes	Level of Contribution
1)	Adequate knowledge in mathematics, science and engineering subjects pertaining to the relevant discipline; ability to use theoretical and applied information in these areas to model and solve engineering problems.
2)	Ability to identify, formulate, and solve complex engineering problems; ability to select and apply proper analysis and modelling methods for this purpose.
3)	Ability to design a complex system, process, device or product under realistic constraints and conditions, in such a way so as to meet the desired result; ability to apply modern design methods for this purpose. (Realistic constraints and conditions may include factors such as economic and environmental issues, sustainability, manufacturability, ethics, health, safety issues, and social and political issues according to the nature of the design.)
4)	Ability to select and use modern techniques and tools needed for analyzing and solving complex problems encountered in engineering practice; ability to employ information technologies effectively.
5)	Ability to design and conduct experiments, gather data, analyze and interpret results for investigating complex engineering problems or discipline specific research questions.
6)	Ability to work efficiently in intra-disciplinary and multi-disciplinary teams; ability to work individually.
7)	Ability to communicate effectively, both orally and in writing; knowledge of a minimum of one foreign language; ability to write effective reports and comprehend written reports, prepare design and production reports, make effective presentations, and give and receive clear and intelligible instructions.
8)	Recognition of the need for lifelong learning; ability to access information, to follow developments in science and technology, and to continue to educate him/herself.
9)	Knowledge on behavior according ethical principles, professional and ethical responsibility and standards used in engineering practices.
10)	Knowledge about business life practices such as project management, risk management, and change management; awareness in entrepreneurship, innovation; knowledge about sustainable development.
11)	Knowledge about contemporary issues and the global and societal effects of engineering practices on health, environment, and safety; awareness of the legal consequences of engineering solutions.

Learning Activity and Teaching Methods

Assessment & Grading Methods and Criteria

Written Exam (Open-ended questions, multiple choice, true-false, matching, fill in the blanks, sequencing)
Homework

Assessment & Grading

Semester Requirements	Number of Activities	Level of Contribution
Homework Assignments	3	% 10
Midterms	1	% 40
Final	1	% 50
total		% 100
PERCENTAGE OF SEMESTER WORK		% 50
PERCENTAGE OF FINAL WORK		% 50
total		% 100

Workload and ECTS Credit Grading

Activities	Number of Activities	Duration (Hours)	Workload
Course Hours	14	3	42
Project	1	24	24
Homework Assignments	2	16	32
Midterms	1	16	16
Final	1	24	24
Total Workload			138