ECTS - Agile Methods in Software Development

Agile Methods in Software Development (SE470) Course Detail

Course Name Course Code Season Lecture Hours Application Hours Lab Hours Credit ECTS
Agile Methods in Software Development SE470 Area Elective 2 2 2 3 5
Pre-requisite Course(s)
N/A
Course Language English
Course Type Elective Courses
Course Level Bachelor’s Degree (First Cycle)
Mode of Delivery Face To Face
Learning and Teaching Strategies Lecture.
Course Coordinator
Course Lecturer(s)
Course Assistants
Course Objectives The course objective is to teach the fundamental principles and practices associated with each of the agile development methods. A variety of agile methods will be described, but the focus will be on Scrum and Extreme Programming.
Course Learning Outcomes The students who succeeded in this course;
  • Recognize the significance of Agile Methodologies in software development
  • Compare and contrast the different agile methods
  • Determine the suitability of agile methods for a particular Project
  • Evaluate how well a project is following agile principles, and assist the project to become more agile (where appropriate)
  • Understand the relationship between the customer and the development team in agile projects and the responsibilities of both communities.
Course Content Introduction to agile methods, eXtreme Programming (XP), Lean, Scrum, Crystal, feature-driven development (FDD), Kanban; dynamic systems development method (DSDM); architecture and design issues in agile software methods.

Weekly Subjects and Releated Preparation Studies

Week Subjects Preparation
1 Agile Development Methods Overview Course Notes
2 Agile Development Methods Overview Course Notes
3 eXtreme Programming (XP) Course Notes
4 eXtreme Programming (XP) Course Notes
5 Scrum – Introduction, Estimating and Planning Course Notes
6 Scrum – Introduction, Estimating and Planning Course Notes
7 Midterm Exam
8 Crystal Methodologies Course Notes
9 Open and Agile Unified Process Course Notes
10 Test Driven Development Course Notes
11 Feature-Driven Development and Kanban Course Notes
12 Architecture and Design Issues in Lean Development Course Notes
13 Dynamic Systems Development Method (DSDM) Course Notes
14 Enterprise Agility, Team Dynamics and Collaboration Course Notes
15 Enterprise Agility, Team Dynamics and Colaboration Course Notes
16 Final Examination Period Review of topics
17 Final Examination Period Review of topics

Sources

Course Book 1. Course Notes and online resources will be provided
Other Sources 2. Agile Software Development Ecosystems by Jim Highsmith, Addison-Wesley 2002, ISBN 0201760436
3. The Art of Agile Development" by James Shore and Shane Warden, O'Reilly Media; 1 edition (November 2, 2007)- ISBN-10: 0596527675
4. "Succeeding with Agile: Software Development Using Scrum" by Mike Cohn, Addison-Wesley Professional; 1 edition (November 5, 2009), ISBN-10: 0321579364

Evaluation System

Requirements Number Percentage of Grade
Attendance/Participation - -
Laboratory - -
Application - -
Field Work - -
Special Course Internship - -
Quizzes/Studio Critics - -
Homework Assignments 2 20
Presentation - -
Project 1 30
Report - -
Seminar - -
Midterms Exams/Midterms Jury 1 20
Final Exam/Final Jury 1 30
Toplam 5 100
Percentage of Semester Work 70
Percentage of Final Work 30
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 Adequate knowledge in mathematics, science and subjects specific to the computer engineering discipline; the ability to apply theoretical and practical knowledge of these areas to complex engineering problems. X
2 The ability to identify, define, formulate and solve complex engineering problems; selecting and applying proper analysis and modeling techniques for this purpose. X
3 The ability to design a complex system, process, device or product under realistic constraints and conditions to meet specific requirements; the ability to apply modern design methods for this purpose.
4 The ability to develop, select and utilize modern techniques and tools essential for the analysis and determination of complex problems in computer engineering applications; the ability to utilize information technologies effectively. X
5 The ability to design experiments, conduct experiments, gather data, analyze and interpret results for the investigation of complex engineering problems or research topics specific to the computer engineering discipline.
6 The ability to work effectively in inter/inner disciplinary teams; ability to work individually X
7 Effective oral and writen communication skills in Turkish; the ability to write effective reports and comprehend written reports, to prepare design and production reports, to make effective presentations, to give and to receive clear and understandable instructions.
8 The knowledge of at least one foreign language; the ability to write effective reports and comprehend written reports, to prepare design and production reports, to make effective presentations, to give and to receive clear and understandable instructions.
9 Recognition of the need for lifelong learning; the ability to access information, to follow recent developments in science and technology.
10 The ability to behave according to ethical principles, awareness of professional and ethical responsibility;
11 Knowledge of the standards utilized in software engineering applications
12 Knowledge on business practices such as project management, risk management and change management; X
13 Awareness about entrepreneurship, innovation
14 Knowledge on sustainable development
15 Knowledge on the effects of computer engineering applications on the universal and social dimensions of health, environment and safety;
16 Awareness of the legal consequences of engineering solutions
17 An ability to describe, analyze and design digital computing and representation systems.
18 An ability to use appropriate computer engineering concepts and programming languages in solving computing problems. X

ECTS/Workload Table

Activities Number Duration (Hours) Total Workload
Course Hours (Including Exam Week: 16 x Total Hours) 16 4 64
Laboratory
Application
Special Course Internship
Field Work
Study Hours Out of Class 16 1 16
Presentation/Seminar Prepration
Project 1 10 10
Report
Homework Assignments 3 5 15
Quizzes/Studio Critics
Prepration of Midterm Exams/Midterm Jury 1 10 10
Prepration of Final Exams/Final Jury 1 15 15
Total Workload 130