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Course Detail

Course Description

CourseCodeSemesterT+P (Hour)CreditECTS
SYSTEMS ANALYSIS and DESIGN-Fall Semester3+036
Course Program
Prerequisites Courses
Recommended Elective Courses
Language of CourseEnglish
Course LevelFirst Cycle (Bachelor's Degree)
Course TypeElective
Course CoordinatorAssoc.Prof. Melis Almula KARADAYI
Name of Lecturer(s)Lect. Özgür EROL
Assistant(s)
AimThis course's objective is to define the concepts of systems approach and innovative system design for technology-based engineering systems. The course is structured along the phases of the systems development lifecycle and provides necessary tools and techniques for systems analysis, design, and management. Students will have a hands-on learning experience applying these topics throughout a student-selected team project.
Course ContentThis course contains; Introduction to systems thinking and systems concepts, Systems development life cycle (SDLC), agile and object-oriented systems development,Identifying needs and objectives / Final project in-class discussion
,Project Management of systems development projects,Modelling organizations and systems using context-level data flow diagrams, entity-relationship models, use cases, and use case scenarios.,Interactive and unobtrusive information-gathering techniques,Developing a system model using logical and physical Data-flow-diagrams (DFDs),Analyzing data-oriented systems using data dictionaries, data flows, data elements, data structures, and data repositories. ,Data governance, enterprise systems and virtual organizations. ,Designing effective system outputs. ,Designing effective system inputs,Technology-based Systems / Innovation / Digital Age / Software based systems ,Final Project Presentations ,Final Project Presentations.
Dersin Öğrenme KazanımlarıTeaching MethodsAssessment Methods
1. Define the concepts of system, systems approach, systems thinking, and complex systems.13, 16, 4, 9A, E, F
2. Distinguishes between the system development life cycle approach, agile system development and object-oriented system analysis and design approaches.10, 13, 16, 9A, E, F
3. Identifies stakeholders' needs using interactive and unobtrusive information-gathering techniques. 13, 16, 2, 9A, E, F
4. Models systems graphically using context-level data flow diagrams, entity-relationship models, and use cases.13, 16, 2, 9A, E, F
5. Designs the outputs and inputs of an effective, accurate, and user-friendly system.13, 16, 2, 9A, E, F
Teaching Methods:10: Discussion Method, 13: Case Study Method, 16: Question - Answer Technique, 2: Project Based Learning Model, 4: Inquiry-Based Learning, 9: Lecture Method
Assessment Methods:A: Traditional Written Exam, E: Homework, F: Project Task

Course Outline

OrderSubjectsPreliminary Work
1Introduction to systems thinking and systems conceptsLecture Notes
2 Systems development life cycle (SDLC), agile and object-oriented systems developmentLecture Notes
3Identifying needs and objectives / Final project in-class discussion
Lecture Notes
4Project Management of systems development projectsLecture Notes
5Modelling organizations and systems using context-level data flow diagrams, entity-relationship models, use cases, and use case scenarios.Lecture Notes
6Interactive and unobtrusive information-gathering techniquesLecture Notes
7Developing a system model using logical and physical Data-flow-diagrams (DFDs)Lecture Notes
8Analyzing data-oriented systems using data dictionaries, data flows, data elements, data structures, and data repositories. Lecture Notes
9Data governance, enterprise systems and virtual organizations. Lecture Notes
10Designing effective system outputs. Lecture Notes
11Designing effective system inputsLecture Notes
12Technology-based Systems / Innovation / Digital Age / Software based systems Lecture Notes
13Final Project Presentations Project Presentations
14Final Project PresentationsProject Presentations
Resources
Course Materials: Course notes, slides, readings (provided by the instructor) Textbook: Systems Analysis and Design; Kendall, Kenneth and Kendall Julie. Global (9th /10th) edition; The Second Machine Age by Erik Brynjolfsson, Andrew McAfee.

Course Contribution to Program Qualifications

Course Contribution to Program Qualifications
NoProgram QualificationContribution Level
12345
1
Adequate knowledge in mathematics, science and engineering subjects pertaining to the relevant discipline; ability to use theoretical and applied knowledge in these areas in the solution of complex engineering problems.
X
2
Ability to formulate, and solve complex engineering problems; ability to select and apply proper analysis and modeling methods for this purpose.
X
3
Ability to design a complex system, process, device or product under realistic constraints and conditions, in such a way as to meet the desired result; ability to apply modern design methods for this purpose.
X
4
Ability to select and use modern techniques and tools needed for analyzing and solving complex problems encountered in engineering practice; ability to employ information technologies effectively.
X
5
Ability to design and conduct experiments, gather data, analyze and interpret results for investigating complex engineering problems or discipline specific research questions.
X
6
Ability to work efficiently in intra-disciplinary and multi-disciplinary teams; ability to work individually.
X
7
Ability to communicate effectively, both orally and in writing; knowledge of a minimum of one foreign language; ability to write effective reports and comprehend written reports, prepare design and production reports, make effective presentations, and give and receive clear and intelligible instructions.
X
8
Awareness of the need for lifelong learning; ability to access information, to follow developments in science and technology, and to continue to educate him/herself.
9
Knowledge on behavior according ethical principles, professional and ethical responsibility and standards used in engineering practices.
X
10
Knowledge about business life practices such as project management, risk management, and change management; awareness in entrepreneurship, innovation; knowledge about sustainable development.
X
11
Knowledge about the global and social effects of engineering practices on health, environment, and safety, and contemporary issues of the century reflected into the field of engineering; awareness of the legal consequences of engineering solutions.
X

Assessment Methods

Contribution LevelAbsolute Evaluation
Rate of Midterm Exam to Success 30
Rate of Final Exam to Success 70
Total 100
ECTS / Workload Table
ActivitiesNumber ofDuration(Hour)Total Workload(Hour)
Course Hours15345
Guided Problem Solving15115
Resolution of Homework Problems and Submission as a Report12224
Term Project144
Presentation of Project / Seminar188
Quiz10220
Midterm Exam5315
General Exam5210
Performance Task, Maintenance Plan8432
Total Workload(Hour)173
Dersin AKTS Kredisi = Toplam İş Yükü (Saat)/30*=(173/30)6
ECTS of the course: 30 hours of work is counted as 1 ECTS credit.

Detail Informations of the Course

Course Description

CourseCodeSemesterT+P (Hour)CreditECTS
SYSTEMS ANALYSIS and DESIGN-Fall Semester3+036
Course Program
Prerequisites Courses
Recommended Elective Courses
Language of CourseEnglish
Course LevelFirst Cycle (Bachelor's Degree)
Course TypeElective
Course CoordinatorAssoc.Prof. Melis Almula KARADAYI
Name of Lecturer(s)Lect. Özgür EROL
Assistant(s)
AimThis course's objective is to define the concepts of systems approach and innovative system design for technology-based engineering systems. The course is structured along the phases of the systems development lifecycle and provides necessary tools and techniques for systems analysis, design, and management. Students will have a hands-on learning experience applying these topics throughout a student-selected team project.
Course ContentThis course contains; Introduction to systems thinking and systems concepts, Systems development life cycle (SDLC), agile and object-oriented systems development,Identifying needs and objectives / Final project in-class discussion
,Project Management of systems development projects,Modelling organizations and systems using context-level data flow diagrams, entity-relationship models, use cases, and use case scenarios.,Interactive and unobtrusive information-gathering techniques,Developing a system model using logical and physical Data-flow-diagrams (DFDs),Analyzing data-oriented systems using data dictionaries, data flows, data elements, data structures, and data repositories. ,Data governance, enterprise systems and virtual organizations. ,Designing effective system outputs. ,Designing effective system inputs,Technology-based Systems / Innovation / Digital Age / Software based systems ,Final Project Presentations ,Final Project Presentations.
Dersin Öğrenme KazanımlarıTeaching MethodsAssessment Methods
1. Define the concepts of system, systems approach, systems thinking, and complex systems.13, 16, 4, 9A, E, F
2. Distinguishes between the system development life cycle approach, agile system development and object-oriented system analysis and design approaches.10, 13, 16, 9A, E, F
3. Identifies stakeholders' needs using interactive and unobtrusive information-gathering techniques. 13, 16, 2, 9A, E, F
4. Models systems graphically using context-level data flow diagrams, entity-relationship models, and use cases.13, 16, 2, 9A, E, F
5. Designs the outputs and inputs of an effective, accurate, and user-friendly system.13, 16, 2, 9A, E, F
Teaching Methods:10: Discussion Method, 13: Case Study Method, 16: Question - Answer Technique, 2: Project Based Learning Model, 4: Inquiry-Based Learning, 9: Lecture Method
Assessment Methods:A: Traditional Written Exam, E: Homework, F: Project Task

Course Outline

OrderSubjectsPreliminary Work
1Introduction to systems thinking and systems conceptsLecture Notes
2 Systems development life cycle (SDLC), agile and object-oriented systems developmentLecture Notes
3Identifying needs and objectives / Final project in-class discussion
Lecture Notes
4Project Management of systems development projectsLecture Notes
5Modelling organizations and systems using context-level data flow diagrams, entity-relationship models, use cases, and use case scenarios.Lecture Notes
6Interactive and unobtrusive information-gathering techniquesLecture Notes
7Developing a system model using logical and physical Data-flow-diagrams (DFDs)Lecture Notes
8Analyzing data-oriented systems using data dictionaries, data flows, data elements, data structures, and data repositories. Lecture Notes
9Data governance, enterprise systems and virtual organizations. Lecture Notes
10Designing effective system outputs. Lecture Notes
11Designing effective system inputsLecture Notes
12Technology-based Systems / Innovation / Digital Age / Software based systems Lecture Notes
13Final Project Presentations Project Presentations
14Final Project PresentationsProject Presentations
Resources
Course Materials: Course notes, slides, readings (provided by the instructor) Textbook: Systems Analysis and Design; Kendall, Kenneth and Kendall Julie. Global (9th /10th) edition; The Second Machine Age by Erik Brynjolfsson, Andrew McAfee.

Course Contribution to Program Qualifications

Course Contribution to Program Qualifications
NoProgram QualificationContribution Level
12345
1
Adequate knowledge in mathematics, science and engineering subjects pertaining to the relevant discipline; ability to use theoretical and applied knowledge in these areas in the solution of complex engineering problems.
X
2
Ability to formulate, and solve complex engineering problems; ability to select and apply proper analysis and modeling methods for this purpose.
X
3
Ability to design a complex system, process, device or product under realistic constraints and conditions, in such a way as to meet the desired result; ability to apply modern design methods for this purpose.
X
4
Ability to select and use modern techniques and tools needed for analyzing and solving complex problems encountered in engineering practice; ability to employ information technologies effectively.
X
5
Ability to design and conduct experiments, gather data, analyze and interpret results for investigating complex engineering problems or discipline specific research questions.
X
6
Ability to work efficiently in intra-disciplinary and multi-disciplinary teams; ability to work individually.
X
7
Ability to communicate effectively, both orally and in writing; knowledge of a minimum of one foreign language; ability to write effective reports and comprehend written reports, prepare design and production reports, make effective presentations, and give and receive clear and intelligible instructions.
X
8
Awareness of the need for lifelong learning; ability to access information, to follow developments in science and technology, and to continue to educate him/herself.
9
Knowledge on behavior according ethical principles, professional and ethical responsibility and standards used in engineering practices.
X
10
Knowledge about business life practices such as project management, risk management, and change management; awareness in entrepreneurship, innovation; knowledge about sustainable development.
X
11
Knowledge about the global and social effects of engineering practices on health, environment, and safety, and contemporary issues of the century reflected into the field of engineering; awareness of the legal consequences of engineering solutions.
X

Assessment Methods

Contribution LevelAbsolute Evaluation
Rate of Midterm Exam to Success 30
Rate of Final Exam to Success 70
Total 100

Numerical Data

Student Success

Ekleme Tarihi: 09/10/2023 - 10:42Son Güncelleme Tarihi: 09/10/2023 - 10:43