ENM340 Systems Analysis

4 ECTS - 3-0 Duration (T+A)- 6. Semester- 3 National Credit

Information

Unit FACULTY OF ENGINEERING
INDUSTRIAL ENGINEERING PR.
Code ENM340
Name Systems Analysis
Term 2018-2019 Academic Year
Semester 6. Semester
Duration (T+A) 3-0 (T-A) (17 Week)
ECTS 4 ECTS
National Credit 3 National Credit
Teaching Language Türkçe
Level Lisans Dersi
Type Normal
Label C Compulsory
Mode of study Yüz Yüze Öğretim
Catalog Information Coordinator Prof. Dr. HACİRE OYA YÜREGİR
Course Instructor Prof. Dr. HACİRE OYA YÜREGİR (Bahar) (A Group) (Ins. in Charge)


Course Goal / Objective

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 Content

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.

Course Precondition

Resources

Notes



Course Learning Outcomes

Order Course Learning Outcomes
LO01 Knows the concept of a system, types of system and the functioning of the system.
LO02 Analyzes the problems of any system.
LO03 Prepares the process map and data model of the analyzed system.
LO04 Designs the process map and data model of the improved and proposed system.
LO05 Determines the performance criteria that constitute the success of the system.
LO06 Designs the conceptual database.
LO07 Designs reports to monitor the success and problems of the system.
LO08 Understands the importance of information technology in process improvement.
LO09 Uses information technology (MS-Access, Excel, etc.) in process improvement.
LO10 Knows the process-oriented approaches and their importance.
LO11 Have knowledge about project management and change management.


Relation with Program Learning Outcome

Order Type Program Learning Outcomes Level
PLO01 - Has sufficient background on topics related to mathematics, physical sciences and industrial engineering. 4
PLO02 - 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
PLO03 - Gains ability to analyze a service and/or manufacturing system or a process and describes, formulates and solves its problems . 5
PLO04 - Gains ability to choose and apply methods and tools for industrial engineering applications. 5
PLO05 - Can collect and analyze data required for industrial engineering problems ,develops and evaluates alternative solutions. 5
PLO06 - Works efficiently and takes responsibility both individually and as a member of a multi-disciplinary team. 5
PLO07 - Can access information and to search/use databases and other sources for information gathering. 5
PLO08 - Appreciates life time learning; follows scientific and technological developments and renews himself/herself continuously. 5
PLO09 - Can use computer software in industrial engineering along with information and communication technologies. 5
PLO10 - Can use oral and written communication efficiently. 5
PLO11 - Uses English skills to follow developments in industrial engineering and to communicate with people in his/her profession. 0
PLO12 - Has a conscious understanding of professional and ethical responsibilities. 4
PLO13 - Has a necessary consciousness on issues related to job safety and health, legal aspects of environment and engineering practice. 1
PLO14 - Becomes competent on matters related to project management, entrepreneurship, innovation and has knowledge about current matters in industrial engineering. 5


Week Plan

Week Topic Preparation Methods
1 The objective of the course, basics of systems analysis and design Reading related chapter from the book
2 The basics of methodology, SDLC Reading related chapter from the book
3 Planning phase and delivery of system proposal Reading related chapter from the book
4 Planning phase Reading related chapter from the book
5 Project management Reading related chapter from the book
6 Requirement Analysis phase Reading related chapter from the book
7 Requirement Analysis phase Reading related chapter from the book
8 Mid-Term Exam Repating all chapters included in the exam
9 System design Reading related chapter from the book
10 System design Reading related chapter from the book
11 System design Reading related chapter from the book
12 System Implementation phase Reading related chapter from the book
13 Process based approaches such as KAizen, BPR, etc Reading related chapter from the book
14 Oral project presentation and term project delivery Project report and digital files
15 Oral project presentation Project report and digital files
16 Term Exams
17 Term Exams


Assessment (Exam) Methods and Criteria

Assessment Type Midterm / Year Impact End of Term / End of Year Impact
1. Midterm Exam 25 10
1. Project / Design 75 30
General Assessment
Midterm / Year Total 100 40
1. Final Exam - 60
Grand Total - 100


Student Workload - ECTS

Works Number Time (Hour) Workload (Hour)
Course Related Works
Class Time (Exam weeks are excluded) 14 3 42
Out of Class Study (Preliminary Work, Practice) 14 3 42
Assesment Related Works
Homeworks, Projects, Others 0 0 0
Mid-term Exams (Written, Oral, etc.) 1 7 7
Final Exam 1 18 18
Total Workload (Hour) 109
Total Workload / 25 (h) 4,36
ECTS 4 ECTS

Update Time: 06.05.2025 11:31