ECTS - Rapid Application Development

Rapid Application Development (SE340) Course Detail

Course Name Course Code Season Lecture Hours Application Hours Lab Hours Credit ECTS
Rapid Application Development SE340 2 0 2 3 5
Pre-requisite Course(s)
N/A
Course Language English
Course Type N/A
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 objective of this course is to teach the students the art of user interface design and visual programming by using an industry standard RAD tool. It introduces students to developing applications in high productivity development environments and exemplifies the feature set and support tools of such environments by exposing the student to one exemplar in depth and then requiring them to develop a software artifact using the toolset. A particular RAD tool will be chosen by the instructor.
Course Learning Outcomes The students who succeeded in this course;
  • Recognize the RAD concept in using components
  • Identify the importance of the related technologies
  • Explain Client/Server Application building
  • Employ RAD tools
  • Differentiate between Object Oriented languages and Object Based languages
  • State how web services are built and used
Course Content Overview of the base language of a Rapid Application Development (RAD) tool; object definitions, methods, properties and inheritance; form design using visual components; application development using the libraries of an industry standard RAD tool.

Weekly Subjects and Releated Preparation Studies

Week Subjects Preparation
1 RAD Concept and Introduction to programming task. Course Notes
2 Introduction to RAD environment Course Notes
3 Introduction to RAD environment Course Notes
4 Introduction to RAD environment Course Notes
5 Component Development Course Notes
6 Reusability Course Notes
7 Database Design and Modeling Tools Course Notes
8 Database Design and Modeling Tools Course Notes
9 Internet Integration Course Notes
10 Client /Server debugging Course Notes
11 Application deployment flexibility and Localization Course Notes
12 Application deployment wizard tool extensibility Course Notes
13 Internet Integration Course Notes
14 Internet Integration Course Notes
15 Final Examination Period
16 Final Examination Period

Sources

Course Book 1. McConnell, S., Rapid Development, Microsoft Press, 2003
Other Sources 2. Petroutsos, E., Mastering Visual Basic .NET, Sybex, 2001
3. Boudreau, T., Glick, J., et al, NetBeans : The definitive guide, 2003
4. Cantu, M., Mastering Delphi, Sybex, 1999

Evaluation System

Requirements Number Percentage of Grade
Attendance/Participation 1 5
Laboratory - -
Application - -
Field Work - -
Special Course Internship - -
Quizzes/Studio Critics - -
Homework Assignments 3 30
Presentation - -
Project - -
Report - -
Seminar - -
Midterms Exams/Midterms Jury 1 30
Final Exam/Final Jury 1 35
Toplam 6 100
Percentage of Semester Work 65
Percentage of Final Work 35
Total 100

Course Category

Core Courses
Major Area Courses X
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 software 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. X
4 The ability to develop, select and utilize modern techniques and tools essential for the analysis and determination of complex problems in software engineering applications; the ability to utilize information technologies effectively. X
5 The ability to gather data, analyze and interpret results for the investigation of complex engineering problems or research topics specific to the software engineering discipline. X
6 The ability to work effectively in inter/inner disciplinary teams; ability to work individually. X
7 Effective oral and written 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 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 receive clear and understandable instructions.
9 Recognition of the need for lifelong learning; the ability to access information and follow recent developments in science and technology with continuous self-development X
10 The ability to behave according to ethical principles, awareness of professional and ethical responsibility. X
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, and innovation.
14 Knowledge on sustainable development.
15 Knowledge of the effects of software engineering applications on the universal and social dimensions of health, environment, and safety. X
16 Awareness of the legal consequences of engineering solutions.
17 An ability to apply algorithmic principles, mathematical foundations, and computer science theory in the modeling and design of computer-based systems with the trade-offs involved in design choices. X
18 The ability to apply engineering approach to the development of software systems by analyzing, designing, implementing, verifying, validating and maintaining software systems. X

ECTS/Workload Table

Activities Number Duration (Hours) Total Workload
Course Hours (Including Exam Week: 16 x Total Hours) 16 3 48
Laboratory
Application
Special Course Internship
Field Work
Study Hours Out of Class 16 2 32
Presentation/Seminar Prepration
Project
Report
Homework Assignments 3 7 21
Quizzes/Studio Critics
Prepration of Midterm Exams/Midterm Jury 1 10 10
Prepration of Final Exams/Final Jury 1 15 15
Total Workload 126