Main Page     Information on the Institution     Degree Programs     General Information for Students     Türkçe  

 DEGREE PROGRAMS


 Associate's Degree (Short Cycle)


 Bachelor’s Degree (First Cycle)


 Master’s Degree (Second Cycle)

  Course Description
Course Name : Systems Analysis

Course Code : ENM330

Course Type : Compulsory

Level of Course : First Cycle

Year of Study : 3

Course Semester : Spring (16 Weeks)

ECTS : 5

Name of Lecturer(s) :

Learning Outcomes of the Course : 1. To learn about the system and types of sytems
2. To learn how to analyze the problems of a system and prioritize them
3.To learn how to do feasibilityst study
4. To learn how to find a proper technology
5.To learn how to prepare process maps
6. To learn how to design a database
7. To learn how to mange a project
8. To learn how to design reports for managing the information at the companies
9. To get knowledge about processbased approaches such as BPR, Kaizen, etc.
10. to learn how to be a team member and to improve leadership skills
11. To improve oral and written communication skills

Mode of Delivery : Face-to-Face

Prerequisites and Co-Prerequisites : None

Recommended Optional Programme Components : None

Aim(s) of Course : The objectives of this course are: to learn how to analyze business processes, how to find out problems in the system, to map processes in the ssytem, finding relationships among problems, to find out alternative solutions to the problems, to choose the best solution among alternatives through engineering methods, to research proper technology for the problems, to redesign processes in the system, to analyze PEST ssytems in order to implemet the best IT systems for the companies and to manage the performance measurement systems of the company.

Course Contents : The basics of the course, system and methodology concepts, SDLC, planning, analyzing, designing, implementation, project management, basics of process based management approaches such as BPR, Kaizen, etc.

Language of Instruction : Turkish

Work Place : Classroom, lab


  Course Outline /Schedule (Weekly) Planned Learning Activities
Week Subject Student's Preliminary Work Learning Activities and Teaching Methods
1 The objective of the course, basics of systems analysis and design reading handouts and book chapters Discussion, lecture, brainstorming, group study
2 The basics of methodology, SDLC reading handouts and book chapters Discussion, lecture, brainstorming, group study, research and homework
3 Planning phase and delivery of system proposal reading handouts and book chapters Discussion, lecture, brainstorming, group study, research and homework
4 Planning phase reading handouts and book chapters Discussion, lecture, brainstorming, group study, research and homework
5 Project management reading handouts and book chapters Discussion, lecture, brainstorming, group study, research and homework
6 Requirement Analysis phase reading handouts and book chapters Discussion, lecture, brainstorming, group study, research and homework
7 Requirement Analysis phase and delivery of RA Report reading handouts and book chapters Discussion, lecture, brainstorming, group study, research and homework
8 Midterm exam Preview and study the chapters learned in the course Written midterm exam
9 Systems design phase reading handouts and book chapters Discussion, lecture, brainstorming, group study, research and homework
10 Systems design phase reading handouts and book chapters Discussion, lecture, brainstorming, group study, research and homework
11 Systems design phase reading handouts and book chapters Discussion, lecture, brainstorming, group study, research and homework
12 System Implementation phase reading handouts and book chapters Discussion, lecture, brainstorming, group study, research and homework
13 Process based approaches such as KAizen, BPR, etc reading handouts and book chapters Discussion, lecture, brainstorming, group study, research and homework
14 Oral presentation and term project delivery Project preparation Project presentations and technical report delivery
15 Oral presentations Project preparation Project presentations
16/17 Final exam Preview and study the chapters learned in the course Final exam


  Required Course Resources
Resource Type Resource Name
Recommended Course Material(s)  1. Bilişimde Sistem Analizi ve Tasarımı, Nobel Yayınevi, 2001, Oya H. YÜREGİR,
 2. Kendall, K., Kendall J. Systems Analysis and Design, Prentice Hall, (
 3. Essentials of Systems Analysis & Design, J. S. Valacich, J. F. George, J. A. Hoffer, Prentice Hall,(
Required Course Material(s)


  Assessment Methods and Assessment Criteria
Semester/Year Assessments Number Contribution Percentage
    Mid-term Exams (Written, Oral, etc.) 1 25
    Homeworks/Projects/Others 4 75
Total 100
Rate of Semester/Year Assessments to Success 40
 
Final Assessments 100
Rate of Final Assessments to Success 60
Total 100

  Contribution of the Course to Key Learning Outcomes
# Key Learning Outcome Contribution*
1 Can collect and analyze data required for industrial engineering problems ,develops and evaluates alternative solutions. 5
2 Has sufficient background on topics related to mathematics, physical sciences and industrial engineering. 4
3 Gains ability to use the acquired theoretical knowledge on basic sciences and industrial engineering for describing, formulating and solving an industrial engineering problem, and to choose appropriate analytical and modeling methods. 4
4 Gains ability to analyze a service and/or manufacturing system or a process and describes, formulates and solves its problems . 5
5 Gains ability to choose and apply methods and tools for industrial engineering applications. 5
6 Can access information and to search/use databases and other sources for information gathering. 4
7 Works efficiently and takes responsibility both individually and as a member of a multi-disciplinary team. 5
8 Appreciates life time learning; follows scientific and technological developments and renews himself/herself continuously. 4
9 Can use computer software in industrial engineering along with information and communication technologies. 4
10 Can use oral and written communication efficiently. 5
11 Has a conscious understanding of professional and ethical responsibilities. 3
12 Uses English skills to follow developments in industrial engineering and to communicate with people in his/her profession. 0
13 Has a necessary consciousness on issues related to job safety and health, legal aspects of environment and engineering practice. 0
14 Becomes competent on matters related to project management, entrepreneurship, innovation and has knowledge about current matters in industrial engineering. 5
* Contribution levels are between 0 (not) and 5 (maximum).

  Student Workload - ECTS
Works Number Time (Hour) Total Workload (Hour)
Course Related Works
    Class Time (Exam weeks are excluded) 14 4 56
    Out of Class Study (Preliminary Work, Practice) 14 2 28
Assesment Related Works
    Homeworks, Projects, Others 4 12 48
    Mid-term Exams (Written, Oral, etc.) 1 2 2
    Final Exam 1 2 2
Total Workload: 136
Total Workload / 25 (h): 5.44
ECTS Credit: 5