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Course Detail

Course Description

CourseCodeSemesterT+P (Hour)CreditECTS
ADVANCED SOFTWARE TECHNIQUES-Spring Semester3+036
Course Program
Prerequisites Courses
Recommended Elective Courses
Language of CourseEnglish
Course LevelFirst Cycle (Bachelor's Degree)
Course TypeElective
Course CoordinatorProf.Dr. Selim AKYOKUŞ
Name of Lecturer(s)Prof.Dr. Selim AKYOKUŞ
Assistant(s)
AimThe objective of this course is to learn, understand and analyze modern software development, methods, principles, and practice. Topics include requirements analysis and specification, design, implementation, verification, and maintenance of large software systems; advanced software development techniques and large project management approaches; project planning, scheduling, resource management, risks, configuration control, and documentation. During this course, students implement a large software system in teams using Scrum methodology.
Course ContentThis course contains; Introduction to Software Methodologies and Engineering,Modeling with UML,Software construction, Software Process & Plan-Driven Methods,Agile Methods,Requirements Engineering, Elicitation and Specification,Software Architecture, Design Patterns and Architectural Patterns
,Midterm,Model / View / Controller and Web Application Architectures,REST and Web Services,Software Modularity and System Decomposition,Software Usability, Personas, Wireframes,Software Verification and Validation,Software Testing Strategies, Continuous Integration,Software Security and Maintenance.
Dersin Öğrenme KazanımlarıTeaching MethodsAssessment Methods
Learn how to plan, design, and build a complex software system that involves various aspects of modern software engineering.
Gain proficiency in using modern tools and tackling challenging technical domains.
Experience working on a large software project as part of a team that collaborates with other teams and customer representatives.
Teaching Methods:
Assessment Methods:

Course Outline

OrderSubjectsPreliminary Work
1Introduction to Software Methodologies and Engineering
2Modeling with UML
3Software construction, Software Process & Plan-Driven Methods
4Agile Methods
5Requirements Engineering, Elicitation and Specification
6Software Architecture, Design Patterns and Architectural Patterns
7Midterm
8Model / View / Controller and Web Application Architectures
9REST and Web Services
10Software Modularity and System Decomposition
11Software Usability, Personas, Wireframes
12Software Verification and Validation
13Software Testing Strategies, Continuous Integration
14Software Security and Maintenance
Resources
- Clean Code, Robert C. Martin, ‎‎PHI - Design Patterns, Erich Gamma, Addison Wesley - Patterns of Enterprise Application Architecture, Martin Fowler, 1st edition, Addison-Wesley - Enterprise Integration Patterns, Gregor Hohpe, Pearson Addison-Wesley Professional - Code Complete, Steve Mcconnell, Microsoft Press US
Lecture notes that will be delivered during the classes.

Course Contribution to Program Qualifications

Course Contribution to Program Qualifications
NoProgram QualificationContribution Level
12345
1
1. An ability to apply knowledge of mathematics, science, and engineering
X
2
2. An ability to identify, formulate, and solve engineering problems
X
3
3. An ability to design a system, component, or process to meet desired needs within realistic constraints such as economic, environmental, social, political, ethical, health and safety, manufacturability, and sustainability
X
4
4. An ability to use the techniques, skills, and modern engineering tools necessary for engineering practice
X
5
5. An ability to design and conduct experiments, as well as to analyze and interpret data
X
6
6. An ability to function on multidisciplinary teams
X
7
7. An ability to communicate effectively
8
8. A recognition of the need for, and an ability to engage in life-long learning
X
9
9. An understanding of professional and ethical responsibility
10
10. A knowledge of contemporary issues
X
11
11. The broad education necessary to understand the impact of engineering solutions in a global, economic, environmental, and societal context

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 Hours14342
Guided Problem Solving000
Resolution of Homework Problems and Submission as a Report61060
Term Project000
Presentation of Project / Seminar21530
Quiz000
Midterm Exam11515
General Exam12525
Performance Task, Maintenance Plan000
Total Workload(Hour)172
Dersin AKTS Kredisi = Toplam İş Yükü (Saat)/30*=(172/30)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
ADVANCED SOFTWARE TECHNIQUES-Spring Semester3+036
Course Program
Prerequisites Courses
Recommended Elective Courses
Language of CourseEnglish
Course LevelFirst Cycle (Bachelor's Degree)
Course TypeElective
Course CoordinatorProf.Dr. Selim AKYOKUŞ
Name of Lecturer(s)Prof.Dr. Selim AKYOKUŞ
Assistant(s)
AimThe objective of this course is to learn, understand and analyze modern software development, methods, principles, and practice. Topics include requirements analysis and specification, design, implementation, verification, and maintenance of large software systems; advanced software development techniques and large project management approaches; project planning, scheduling, resource management, risks, configuration control, and documentation. During this course, students implement a large software system in teams using Scrum methodology.
Course ContentThis course contains; Introduction to Software Methodologies and Engineering,Modeling with UML,Software construction, Software Process & Plan-Driven Methods,Agile Methods,Requirements Engineering, Elicitation and Specification,Software Architecture, Design Patterns and Architectural Patterns
,Midterm,Model / View / Controller and Web Application Architectures,REST and Web Services,Software Modularity and System Decomposition,Software Usability, Personas, Wireframes,Software Verification and Validation,Software Testing Strategies, Continuous Integration,Software Security and Maintenance.
Dersin Öğrenme KazanımlarıTeaching MethodsAssessment Methods
Learn how to plan, design, and build a complex software system that involves various aspects of modern software engineering.
Gain proficiency in using modern tools and tackling challenging technical domains.
Experience working on a large software project as part of a team that collaborates with other teams and customer representatives.
Teaching Methods:
Assessment Methods:

Course Outline

OrderSubjectsPreliminary Work
1Introduction to Software Methodologies and Engineering
2Modeling with UML
3Software construction, Software Process & Plan-Driven Methods
4Agile Methods
5Requirements Engineering, Elicitation and Specification
6Software Architecture, Design Patterns and Architectural Patterns
7Midterm
8Model / View / Controller and Web Application Architectures
9REST and Web Services
10Software Modularity and System Decomposition
11Software Usability, Personas, Wireframes
12Software Verification and Validation
13Software Testing Strategies, Continuous Integration
14Software Security and Maintenance
Resources
- Clean Code, Robert C. Martin, ‎‎PHI - Design Patterns, Erich Gamma, Addison Wesley - Patterns of Enterprise Application Architecture, Martin Fowler, 1st edition, Addison-Wesley - Enterprise Integration Patterns, Gregor Hohpe, Pearson Addison-Wesley Professional - Code Complete, Steve Mcconnell, Microsoft Press US
Lecture notes that will be delivered during the classes.

Course Contribution to Program Qualifications

Course Contribution to Program Qualifications
NoProgram QualificationContribution Level
12345
1
1. An ability to apply knowledge of mathematics, science, and engineering
X
2
2. An ability to identify, formulate, and solve engineering problems
X
3
3. An ability to design a system, component, or process to meet desired needs within realistic constraints such as economic, environmental, social, political, ethical, health and safety, manufacturability, and sustainability
X
4
4. An ability to use the techniques, skills, and modern engineering tools necessary for engineering practice
X
5
5. An ability to design and conduct experiments, as well as to analyze and interpret data
X
6
6. An ability to function on multidisciplinary teams
X
7
7. An ability to communicate effectively
8
8. A recognition of the need for, and an ability to engage in life-long learning
X
9
9. An understanding of professional and ethical responsibility
10
10. A knowledge of contemporary issues
X
11
11. The broad education necessary to understand the impact of engineering solutions in a global, economic, environmental, and societal context

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 - 10:50Son Güncelleme Tarihi: 09/10/2023 - 10:51