GRADUATE SCHOOL

M.SC. in Electrical and Electronics Engineering (With Thesis)

EEE 535 | Course Introduction and Application Information

Course Name
Data Converters
Code
Semester
Theory
(hour/week)
Application/Lab
(hour/week)
Local Credits
ECTS
EEE 535
Fall/Spring
3
0
3
7.5

Prerequisites
None
Course Language
English
Course Type
Elective
Course Level
Second Cycle
Mode of Delivery -
Teaching Methods and Techniques of the Course -
Course Coordinator -
Course Lecturer(s)
Assistant(s) -
Course Objectives This course covers the data converter circuits in modern mixed-signal VLSI systems. We will investigate switched-capacitor amplifiers/integrators, sample-and-hold circuits, Nyquist-rate converters, and oversampled converters. As the major advancement in this field was developed using CMOS technology in the past decade, the course will focus on CMOS building blocks and circuit techniques that implement these converters. Extensive computer simulations are required in the project.
Learning Outcomes The students who succeeded in this course;
  • learn about data converter circuits in modern mixed-signal VLSI systems,
  • learn limits of converters,
  • have knowledge of switched-capacitor amplifiers/integrators,
  • have knowledge of sample-and-hold circuits, Nyquist-rate converters, and oversampled converters.
Course Description Introduction to data converters, sampling in analog/digital and digital/analog converters, issues in data conversions, algorithmic converters, switched capacitor circuits, non-linearity in converters, switched-capacitor amplifiers/integrators, sample-and-hold circuits, Nyquist-rate converters, and oversampled converters. Limitations of converters, linear and non-linear noise.

 



Course Category

Core Courses
Major Area Courses
X
Supportive Courses
Media and Management Skills Courses
Transferable Skill Courses

 

WEEKLY SUBJECTS AND RELATED PREPARATION STUDIES

Week Subjects Related Preparation
1 Review of CMOS op-amp design (revised version) Gray et al., Analysis and Design of Analog Integrated Circuits, Wiley, 2001
2 Switched-capacitor circuits Gregorian and Temes, Analog MOS Integrated Circuits for Signal Processing, Wiley, 1986
3 Review of discrete-time signal processing Razavi, Principles of Data Conversion System Design, IEEE Press, 1995
4 Sample-and-hold Razavi, Principles of Data Conversion System Design, IEEE Press, 1995
5 Data converter basics Razavi, Principles of Data Conversion System Design, IEEE Press, 1995
6 Successive approximation ADC Razavi, Principles of Data Conversion System Design, IEEE Press, 1995
7 Midterm
8 Algorithmic ADC Razavi, Principles of Data Conversion System Design, IEEE Press, 1995
9 Pipelined ADC Razavi, Principles of Data Conversion System Design, IEEE Press, 1995
10 Integration ADC Razavi, Principles of Data Conversion System Design, IEEE Press, 1995
11 Flash ADC Razavi, Principles of Data Conversion System Design, IEEE Press, 1995
12 CMOS comparator design Gray et al., Analysis and Design of Analog Integrated Circuits, Wiley, 2001
13 Digital-to-analog converter Razavi, Principles of Data Conversion System Design, IEEE Press, 1995
14 Interpolating and folding ADC Razavi, Principles of Data Conversion System Design, IEEE Press, 1995
15 Subranging ADC Razavi, Principles of Data Conversion System Design, IEEE Press, 1995
16 Review of the Semester  

 

Course Notes/Textbooks The course slides
Suggested Readings/Materials 1. Analog Circuit Design \n2.Data Converters \n3.Switched-Capacitor Circuits \nGregorian and Temes, Analog MOS Integrated Circuits for Signal Processing, Wiley, 1986\n

 

EVALUATION SYSTEM

Semester Activities Number Weigthing
Participation
Laboratory / Application
Field Work
Quizzes / Studio Critiques
Portfolio
Homework / Assignments
5
20
Presentation / Jury
Project
2
40
Seminar / Workshop
Oral Exams
Midterm
1
40
Final Exam
Total

Weighting of Semester Activities on the Final Grade
8
100
Weighting of End-of-Semester Activities on the Final Grade
Total

ECTS / WORKLOAD TABLE

Semester Activities Number Duration (Hours) Workload
Theoretical Course Hours
(Including exam week: 16 x total hours)
16
3
48
Laboratory / Application Hours
(Including exam week: '.16.' x total hours)
16
0
Study Hours Out of Class
15
4
60
Field Work
0
Quizzes / Studio Critiques
0
Portfolio
0
Homework / Assignments
5
8
40
Presentation / Jury
0
Project
2
30
60
Seminar / Workshop
0
Oral Exam
0
Midterms
1
17
17
Final Exam
0
    Total
225

 

COURSE LEARNING OUTCOMES AND PROGRAM QUALIFICATIONS RELATIONSHIP

#
Program Competencies/Outcomes
* Contribution Level
1
2
3
4
5
1 Accesses information in breadth and depth by conducting scientific research in Electrical and Electronics Engineering; evaluates, interprets and applies information X
2 Is well-informed about contemporary techniques and methods used in Electrical and Electronics Engineering and their limitations X
3 Uses scientific methods to complete and apply information from uncertain, limited or incomplete data; can combine and use information from different disciplines X
4 Is informed about new and upcoming applications in the field and learns them whenever necessary.

X
5 Defines and formulates problems related to Electrical and Electronics Engineering, develops methods to solve them and uses progressive methods in solutions. X
6 Develops novel and/or original methods, designs complex systems or processes and develops progressive/alternative solutions in designs. X
7 Designs and implements studies based on theory, experiments and modeling; analyses and resolves the complex problems that arise in this process. X
8 Can work effectively in interdisciplinary teams as well as teams of the same discipline, can lead such teams and can develop approaches for resolving complex situations; can work independently and takes responsibility. X
9 Engages in written and oral communication at least in Level B2 of the European Language Portfolio Global Scale. X
10 Communicates the process and the results of his/her studies in national and international venues systematically, clearly and in written or oral form. X
11 Is knowledgeable about the social, environmental, health, security and law implications of Electrical and Electronics Engineering applications, knows their project management and business applications, and is aware of their limitations in Electrical and Electronics Engineering applications. X
12 Highly regards scientific and ethical values in data collection, interpretation, communication and in every professional activity. Adheres to the principles of research and publication ethics.
X

*1 Lowest, 2 Low, 3 Average, 4 High, 5 Highest

 


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