COURSE INFORMATION
Course Title: INTRODUCTION TO COMPUTER ENGINEERING
Code Course Type Regular Semester Theory Practice Lab Credits ECTS
CEN 103 B 1 3 0 0 3 4
Academic staff member responsible for the design of the course syllabus (name, surname, academic title/scientific degree, email address and signature) NA
Lecturer (name, surname, academic title/scientific degree, email address and signature) and Office Hours: Dimitrios Karras , Tuesday 16.30-20.00, Wednesday 10.30 - 17.00
Second Lecturer(s) (name, surname, academic title/scientific degree, email address and signature) and Office Hours: NA
Teaching Assistant(s) and Office Hours: NA
Language: English
Compulsory/Elective: Compulsory
Classroom and Meeting Time: Friday 8.45-12.30
Course Description: The objective of this course is to provide the necessary information about computer engineering and the computer engineering profession. This includes hardware and software components of a computer system, basic computer usage, basics of operating systems, file operations, internet and office applications.
Course Objectives: This course aims to give a general view on latest technologies, and the various fields of computer engineering. Topics include : basic concepts of digital era, basic concepts of information representation, Algorithms design, computer hardware, basic concepts of software engineering and computer programming, basic concepts of computer networks, basic concepts of internet and web, knowledge about database technologies, basic concepts of digital media and office software fundamentals with emphasis in EXCEL
COURSE OUTLINE
Week Topics
1 Computers and Digital Basics , What is Computer? What is Computer Science and Computer Engineering
2 The Computer Industry: History, Careers, and Ethics, Basic Computer Operations, The Von Neuman Architecture
3 Information Representation
4 Algorithms Analysis and Design , Computer Programming
5 Computer Components and Computer Hardware basics
6 Software and Software Engineering, System Software, Operating Systems and File Management, hIGH LEVEL LANGUAGES, DIFFERENCES BETWEEN COMPILER AND INTERPRETER
7 Microprocessors, Memory, ALU
8 Network ( Local Area Networks) , Communications, The Internet , the Web and E-mail
9 Databases and Digital Media
10 Information Systems Analysis and Design
11 Office Software basics
12 Information Management in EXCEL basics
13 Artificial Intelligence and Robotics
14 Applications of Computer Engineering and IoT - Internet of Things
Prerequisite(s): None
Textbook: 1) computer science, An overview J. Glenn Brookshear with contributions from David T. Smith Indiana University of Pennsylvania Dennis Brylow Marquette University 11th Edition Addison-Wesley --------------------------------------------- 2) New Perspectives on Computer Concepts, by June Jamrich, Parsons 2011 ---------------------------------------------- 3) Computer Concepts and Microsoft® Office 2013— Illustrated Parsons/Oja/Beskeen/Cram/Duffy/Friedrichsen/Reding © 2014 Cengage Learning
Other References: Papers and other materials given throughout the course
Laboratory Work: -
Computer Usage: -
Others: No
COURSE LEARNING OUTCOMES
1 Understand the basic concepts of computer hardware
2 Understand the basic concepts of Information Reperesentation, Algorithms design and computer programming
3 Understand the basic concepts of computer networks
4 Understand the basic concepts of database technologies
5 Understand the basic concepts digital media
6 Understand artificial intelligence
7 Understand Office Software Basics with emphasis in Excel
8 Understand the impact of technology in several applications
COURSE CONTRIBUTION TO... PROGRAM COMPETENCIES
(Blank : no contribution, 1: least contribution ... 5: highest contribution)
No Program Competencies Cont.
Bachelor in Computer Engineering (3 years) Program
1 Engineering graduates with sufficient theoretical and practical background for a successful profession and with application skills of fundamental scientific knowledge in the engineering practice. 5
2 Engineering graduates with skills and professional background in describing, formulating, modeling and analyzing the engineering problem, with a consideration for appropriate analytical solutions in all necessary situations 5
3 Engineering graduates with the necessary technical, academic and practical knowledge and application confidence in the design and assessment of machines or mechanical systems or industrial processes with considerations of productivity, feasibility and environmental and social aspects. 5
4 Engineering graduates with the practice of selecting and using appropriate technical and engineering tools in engineering problems, and ability of effective usage of information science technologies. 5
5 Ability of designing and conducting experiments, conduction data acquisition and analysis and making conclusions. 5
6 Ability of identifying the potential resources for information or knowledge regarding a given engineering issue. 5
7 The abilities and performance to participate multi-disciplinary groups together with the effective oral and official communication skills and personal confidence. 5
8 Ability for effective oral and official communication skills in foreign language. 5
9 Engineering graduates with motivation to life-long learning and having known significance of continuous education beyond undergraduate studies for science and technology. 5
10 Engineering graduates with well-structured responsibilities in profession and ethics. 5
11 Engineering graduates who are aware of the importance of safety and healthiness in the project management, workshop environment as well as related legal issues. 4
12 Consciousness for the results and effects of engineering solutions on the society and universe, awareness for the developmental considerations with contemporary problems of humanity. 5
COURSE EVALUATION METHOD
Method Quantity Percentage
Homework
4
5
Midterm Exam(s)
1
30
Presentation
1
5
Quiz
1
5
Final Exam
1
40
Attendance
0
Total Percent: 100%
ECTS (ALLOCATED BASED ON STUDENT WORKLOAD)
Activities Quantity Duration(Hours) Total Workload(Hours)
Course Duration (Including the exam week: 16x Total course hours) 16 2 32
Hours for off-the-classroom study (Pre-study, practice) 15 2 30
Mid-terms 1 1 1
Assignments 4 9 36
Final examination 1 1 1
Other 0
Total Work Load:
100
Total Work Load/25(h):
4
ECTS Credit of the Course:
4