1 ) Understanding basic parts of the computer;
2 ) working knowledge on number systems, limit and precision;
3 ) basic knowledge coding syastem, operating system, programming languages
4 ) brief introduction to topics of Computer / Software Engineering that will be covered on the fortcoming years.
Prerequisite(s)
none
Corequisite(s)
CSE0101
Special Requisite(s)
ability to understand textbook in English
Instructor(s)
Professor Özgür Koray ŞAHİNGÖZ
Course Assistant(s)
Teaching Assistant Elif YILDIRIM
Schedule
Course's Teori Hours:
Monday (09:00-13:00) I-II groups
Wednesday (11:00-13:00) IV-V-VI groups
Lab. Section's Hours:
Wednesday (13:00-15:00) I. group
Wednesday (15:00-17:00) VI. group
Thursday (09:00-11:00) II. group
Thursday (11:00-13:00) III. group
Thursday (14:00-16:00) IV. group
Thursday (16:00-18:00) V. group
Office Hour(s)
Tuesday 9.00 to 11.00
Teaching Methods and Techniques
lecture ( 28 hours) & applied study in closed lab with instructor, assistant & student groups (at most 24 students) ( 28 hours) -
plus, students will read the textbook, prepare topics before lab hours ( 96 hours)
Principle Sources
J. Gleen Brookshear; Computer Science : An Overview ; Pearson 2011, 12th edition ; ISBN 978-0-321-54428-5
Other Sources
-
Course Schedules
Week
Contents
Learning Methods
1. Week
Introduction of the course, course syllabus, grading, office hours,
Locating students to the lab, lab rules for eating, drinking, mobile communication while in the lab; distribution of user names and passwords
2. Week
Introduction to Computers
Components of the Computers
3. Week
Operating System-1
Basic Operating System commands
4. Week
Operating Systems -2
Processes and Scheduling
5. Week
Data Representation
Data Types and Conversion
6. Week
Data Communication
Data Communication
7. Week
Computer Networks
Addressing and Network tools
8. Week
Midterm
Midterm Answers
9. Week
Internet Programing
Constructing Simple Web Pages
10. Week
Intr to Database Systems
Constructing Simple Databases
11. Week
Intr to Artificial Intelligence
Searching Algorithms
12. Week
Intr to theory of Computation
Programmin Language Concepts
13. Week
Software Engineering
Software Engineering Models
14. Week
Data Structures
Basic Data Structures
15. Week
16. Week
17. Week
Assessments
Evaluation tools
Quantity
Weight(%)
Midterm(s)
1
30
Quizzes
1
30
Final Exam
1
40
Program Outcomes
PO-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.
PO-2
Ability to identify, formulate, and solve complex engineering problems; ability to select and apply proper analysis and modelling methods for this purpose.
PO-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.)
PO-4
Ability to devise, select, and use modern techniques and tools needed for engineering practice; ability to employ information technologies effectively.
PO-5
Ability to design and conduct experiments, gather data, analyse and interpret results for investigating engineering problems.
PO-6
Ability to work efficiently in intra-disciplinary and multi-disciplinary teams; ability to work individually.
PO-7
Ability to communicate effectively, both orally and in writing; knowledge of a minimum of one foreign language.
PO-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.
PO-9
Awareness of professional and ethical responsibility.
PO-10
Information about business life practices such as project management, risk management, and change management; awareness of entrepreneurship, innovation, and sustainable development.
PO-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 Outcomes
LO-1
Working knowledge on number systems, limit and precision;
LO-2
Basic knowledge coding syastem, operating system, programming languages
LO-3
Brief introduction to topics of Computer / Software Engineering that will be covered on the fortcoming years.
