11111

COURSE INTRODUCTION AND APPLICATION INFORMATION


se.cs.ieu.edu.tr

Course Name
Code
Semester
Theory
(hour/week)
Application/Lab
(hour/week)
Local Credits
ECTS
Spring
Prerequisites
None
Course Language
Course Type
Required
Course Level
-
Mode of Delivery -
Teaching Methods and Techniques of the Course
Course Coordinator -
Course Lecturer(s) -
Assistant(s) -
Course Objectives
Learning Outcomes The students who succeeded in this course;
  • be able to demonstrate knowledge and understanding of architecture, programming languages, compilers and syntax directed tools, computer networks, operating systems, theoretical computing
  • be able to evaluate computer components and systems for suitability in particular contexts
  • be able to demonstrate knowledge and understanding concepts of artificial intelligence, databases, document processing
  • be able to critically evaluate current and emerging technologies
  • be able to explain the use of computers in a number of application areas
  • be able to place technologies and methods in historical context
Course Description

 



Course Category

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

 

WEEKLY SUBJECTS AND RELATED PREPARATION STUDIES

Week Subjects Required Materials
1 Introduction Brookshear, ch. 0.1 to 0.5
2 Data storage Brookshear, ch. 1.1 to 1.9
3 Data storage Brookshear, ch. 1.1 to 1.9
4 Data manipulation Brookshear, ch. 2.1 to 2.3
5 Operating system Brookshear, ch. 3.1 to 3.3
6 Networking and the Internet Brookshear, ch. 4.1 to 4.3
7 Midterm exam
8 Algorithms Brookshear, ch. 5.1 to 5.5
9 Algorithms Brookshear, ch. 5.1 to 5.5
10 Programming languages Brookshear, ch. 6.1 to 6.3
11 Data abstractions Brookshear, ch. 8.1 to 8.3
12 Database systems Brookshear, ch. 9.1 to 9.3
13 Computer graphics Brookshear, ch. 10.1 to 10.4
14 Artifical intelligence Brookshear, ch. 11.1 to 11.3
15 General Evaluation
16 Review of the Semester  
Course Notes/Textbooks Brookshear J.G., Computer Science An Overview, 10th ed., Pearson, 2009.
Suggested Readings/Materials

 

EVALUATION SYSTEM

Semester Activities Number Weigthing
Participation
Laboratory / Application
Field Work
Quizzes / Studio Critiques
Portfolio
Homework / Assignments
Presentation / Jury
Project
Seminar / Workshop
Oral Exam
Midterm
1
40
Final Exam
1
60
Total

Weighting of Semester Activities on the Final Grade
40
Weighting of End-of-Semester Activities on the Final Grade
60
Total

ECTS / WORKLOAD TABLE

Semester Activities Number Duration (Hours) Workload
Course Hours
(Including exam week: 16 x total hours)
16
2
32
Laboratory / Application Hours
(Including exam week: 16 x total hours)
16
Study Hours Out of Class
Field Work
Quizzes / Studio Critiques
Portfolio
Homework / Assignments
Presentation / Jury
Project
Seminar / Workshop
Oral Exam
Midterms
1
5
Final Exams
1
5
    Total
42

 

COURSE LEARNING OUTCOMES AND PROGRAM QUALIFICATIONS RELATIONSHIP

#
Program Competencies/Outcomes
* Contribution Level
1
2
3
4
5
1 Be able to define problems in real life by identifying functional and nonfunctional requirements that the software is to execute X
2 Be able to design and analyze software at component, subsystem, and software architecture level X
3 Be able to develop software by coding, verifying, doing unit testing and debugging X
4 Be able to verify software by testing its behaviour, execution conditions, and expected results X
5 Be able to maintain software due to working environment changes, new user demands and the emergence of software errors that occur during operation X
6 Be able to monitor and control changes in the software, the integration of software with other software systems, and plan to release software versions systematically X
7 To have knowledge in the area of software requirements understanding, process planning, output specification, resource planning, risk management and quality planning
X
8 Be able to identify, evaluate, measure and manage changes in software development by applying software engineering processes X
9 Be able to use various tools and methods to do the software requirements, design, development, testing and maintenance X
10 To have knowledge of basic quality metrics, software life cycle processes, software quality, quality model characteristics, and be able to use them to develop, verify and test software X
11 To have knowledge in other disciplines that have common boundaries with software engineering such as computer engineering, management, mathematics, project management, quality management, software ergonomics and systems engineering X
12 Be able to grasp software engineering culture and concept of ethics, and have the basic information of applying them in the software engineering X
13

Be able to use a foreign language to follow related field publications and communicate with colleagues

X

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

 

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