Issue Date :

Revision Date :  

Revision Number: 

MVHS Board Decision Number:

Course Name : Computer-Based Data Acquisition and Control

Degree: Associate's Degree

Code

Year/Semester

Local Credits

ECTS Credits

Course Implementation, Hours/Week

Course

Tutorial

Laboratory

ETO 1008

1/2 (Spring)

3,5

6

4

0

1

Department / Programme

Instructors

Contact Information

Office Hours

Web page

www.pirireis.edu.tr

Course Type

 Compulsory

Course Language

Turkish

Course Prerequisites

  BIT 1001

Course Category by Content, %

Basic Sciences

Engineering Science

Engineering Design

Humanities

10

40

50

Course Description

Introduction to Data Acquisition Systems, Systems and system Approach, Systems Development Life Cycle, Number Systems, Binary Arithmetic, Digital Logic, Logic Circuits, Measurement principles and Instrumentation, Analog and Digital Signals, Sensors, Signal Conditioning, Sample and Hold Circuits, Multiplexers and Converters (DAC - ADC), Sampled Data Systems, Bus Systems, Data Acquisition Systems in Ships, DAQ Software, Recognition algorithms with Computers, Systems and Applications.

Course Objectives

• Introduction to Data Acquisition Systems, Systems and system Approach, Systems Development Life Cycle,
• Number Systems, Binary Arithmetic, Digital Logic, Logic Circuits,
• Measurement principles and Instrumentation,
• Analog and Digital Signals,
• Sensors,
• Signal Conditioning,
• Sample and Hold Circuits,
• Multiplexers and Converters (DAC - ADC),
• Sampled Data Systems,
• Bus Systems,
• Data Acquisition Systems in Ships, DAQ Software,
• Recognition algorithms with Computers, Systems and Applications.

Course Learning Outcomes

With the successful completion of this course, the students would have gained basic knowledge and skills in the following areas;

1. Introduction to Data Acquisition Systems, Systems and system Approach, Systems Development Life Cycle,
2. Number Systems, Binary Arithmetic, Digital Logic, Logic Circuits,
3. Measurement principles and Instrumentation,
4. Analog and Digital Signals,
5. Sensors,
6. Signal Conditioning,
7. Sample and Hold Circuits,
8. Multiplexers and Converters (DAC - ADC),
9. Sampled Data Systems,
10. Bus Systems,
11. Data Acquisition Systems in Ships, DAQ Software,
12. Recognition algorithms with Computers, Systems and Applications.

Instructional Methods and Techniques

Tutorial Place

Co-term Condition

Textbook

Other References

Homework & Projects

Laboratory Work

Computer Use

Other Activities

Assessment Criteria

Activities

Quantity

Effects on Grading, %

Attendance

1

5

Midterm

1

30

Quiz

1

10

Homework

1

10

Term Paper/Project

Laboratory Work

Practices

Tutorial

Seminar

Presentation

Field Study

Final Exam

1

45

TOTAL

%100

Effects of Midterm on Grading, %

%30

Effects of Final on Grading, %

%45

TOTAL

%100

Week

Topics

Course Outcomes

1

Introduction to Data Acquisition Systems, Systems and system Approach, Systems Development Life Cycle

I

2

Number Systems, Binary Arithmetic, Digital Logic, Logic Circuits

II

3

Measurement principles and Instrumentation

III

4

Analog and Digital Signals

III

5

Sensors

III

6

Signal Conditioning

IV

7

Signal Conditioning

IV

8

Midterm Examination

1-7

9

Sample and Hold Circuits

V

10

Multiplexers and Converters (DAC - ADC)

V

11

Sampled Data Systems

V

12

Bus systems

V

13

Data Acquisition Systems in Ships, DAQ Software

V

14

Recognition algorithms with computers, systems and applications.

V

15

Final Examination

1-14

Program Outcomes

Level of Contribution

1

2

3

a

An ability to apply knowledge of mathematics, science, and engineering

X

b

An  ability to design and conduct experiments, as well as to analyze and interpret data

c

An ability to design a system, component or process to meet desired needs

X

d

Ability to function on multi-disciplinary teams

e

An ability to identify, formulate, and solve engineering problems

X

f

An understanding of professional and ethical responsibility

g

An ability to communicate effectively

h

The broad education necessary to understand the impact of engineering solutions in a global and societal context

X

i

A recognition of the need for, and an ability to engage in life-long learning

X

j

A knowledge of contemporary issues

X

k

An ability to use the techniques, skills and modern engineering tools necessary for engineering practice

l

An ability to apply legal, societal and environmental knowledge in maritime transport and in all respective modes of transport operations.

X

m

An ability to interpret and analysis of the data regarding maritime management and operations, recognition and solution of problems for decision making process.

X