ECTS - Introduction to Computer Science

Introduction to Computer Science (MCS115) Course Detail

Course Name Course Code Season Lecture Hours Application Hours Lab Hours Credit ECTS
Introduction to Computer Science MCS115 1. Semester 2 2 2 3 3
Pre-requisite Course(s)
None
Course Language English
Course Type Compulsory Departmental Courses
Course Level Bachelor’s Degree (First Cycle)
Mode of Delivery Face To Face
Learning and Teaching Strategies Lecture, Question and Answer, Drill and Practice, Team/Group.
Course Coordinator
Course Lecturer(s)
Course Assistants
Course Objectives This course is designed to provide students with the basis of information systems; gain experience in basic applications software, internet and basic programming.
Course Learning Outcomes The students who succeeded in this course;
  • Learn computer types, information, systems, computer software and hardware.
  • Learn how to use word processors, spreadsheets and presentation softwares.
  • Learn basics of internet, browsers , TCP/IP, telnet, ftp and programming concepts.
  • Learn the idea of algorithms.
Course Content Introduction to Computers, Overview of Computer Hardware Components, Programming Essentials, Algorithm Design, Data Handling and Networking, Problem Solving Using Computers and Principles of C Programming.

Weekly Subjects and Releated Preparation Studies

Week Subjects Preparation
1 Introduction to Computer Systems, MS Windows OS pp. 1-16
2 Introduction to Computer Systems, MS Word pp. 62-74
3 Computer Hardware and Software, MS Word pp. 92-109
4 Computer Hardware and Software, MS Word pp. 180-199
5 Computer Hardware and Software, MS Excel pp. 214-219
6 Mid-Term Examination
7 System Unit, MS Excel pp. 150-167
8 Communucation and Networks, MS Excel pp. 242-265
9 Information Systems, MS Powerpoint pp. 312-327
10 Database, MS Powerpoint pp. 340-355
11 System analysis And Design, Internet and Web Design pp. 30-48
12 Algorithm Design and Flow Charts, Internet and Web Design pp. 368-385
13 Algorithm Design and Flow Charts pp. 400-417
14 Programming Basics in C pp. 2-19 (in other References [3].)
15 Programming Basics in C pp. 33-47 (in other References [3].)
16 Final Examination

Sources

Course Book 1. Computing Essentials, Timothy J. O’leary, Linda I. O’leary, Complete Editiıon McGraw-Hill, 2008
Other Sources 2. Problem Solving and Program Design in C, Jeri R. Hanly, Elliot B. Koffman, 3rd Edition, Addison Wesley, 2004.
3. C Programming Laboratory Manual, Prof. Dr. Ali Yazıcı, Asst. Prof. Dr. Çiğdem Turan, Inst. Fügen Selbes, Atılım University, Department of Computer Engineering, 2001.
4. C: How to Program, H.M. Deitel, P.J.Deitel, Prentice Hall Editions, 2004.

Evaluation System

Requirements Number Percentage of Grade
Attendance/Participation - -
Laboratory 5 10
Application - -
Field Work - -
Special Course Internship - -
Quizzes/Studio Critics - -
Homework Assignments - -
Presentation - -
Project - -
Report - -
Seminar - -
Midterms Exams/Midterms Jury 2 50
Final Exam/Final Jury 1 40
Toplam 8 100
Percentage of Semester Work 60
Percentage of Final Work 40
Total 100

Course Category

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

The Relation Between Course Learning Competencies and Program Qualifications

# Program Qualifications / Competencies Level of Contribution
1 2 3 4 5
1 Acquires skills to use the advanced theoretical and applied knowledge obtained at the mathematics bachelors program to do further academic and scientific research in both mathematics-based graduate programs and public or private sectors. X
2 Transplants and applies the theoretical and applicable knowledge gained in their field to the secondary education by using suitable tools and devices. X
3 Acquires the skill of choosing, using and improving problem solving techniques which are needed for modeling and solving current problems in mathematics or related fields by using the obtained knowledge and skills. X
4 Acquires analytical thinking and uses time effectively in the process of deduction X
5 Acquires basic software knowledge necessary to work in the computer science related fields and together with the skills to use information technologies effectively. X
6 Obtains the ability to collect data, to analyze, interpret and use statistical methods necessary in decision making processes. X
7 Acquires the level of knowledge to be able to work in the mathematics and related fields and keeps professional knowledge and skills up-to-date with awareness in the importance of lifelong learning. X
8 Takes responsibility in mathematics related areas and has the ability to work affectively either individually or as a member of a team. X
9 Has proficiency in English language and has the ability to communicate with colleagues and to follow the innovations in mathematics and related fields. X
10 Has the ability to communicate ideas with peers supported by qualitative and quantitative data. X
11 Has professional and ethical consciousness and responsibility which takes into account the universal and social dimensions in the process of data collection, interpretation, implementation and declaration of results in mathematics and its applications. X

ECTS/Workload Table

Activities Number Duration (Hours) Total Workload
Course Hours (Including Exam Week: 16 x Total Hours)
Laboratory 16 2 32
Application
Special Course Internship
Field Work
Study Hours Out of Class 14 1 14
Presentation/Seminar Prepration
Project
Report
Homework Assignments
Quizzes/Studio Critics
Prepration of Midterm Exams/Midterm Jury 2 4 8
Prepration of Final Exams/Final Jury 1 5 5
Total Workload 59