Project Orientation (SE493) Course Detail

Course Name Course Code Season Lecture Hours Application Hours Lab Hours Credit ECTS
Project Orientation SE493 2 0 0 2 5
Pre-requisite Course(s)
CMPE226&CMPE341
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, Discussion, Team/Group, Project Design/Management.
Course Coordinator
Course Lecturer(s)
Course Assistants
Course Objectives This course aims to teach the planning, conducting and presenting phases in computing and information systems projects in chronological fashion. It also aims to raise awareness on some engineering qualification such as team working, lifelong learning, professional ethics, legal issues, innovation and entrepreneurship.
Course Learning Outcomes The students who succeeded in this course;
  • Recognize the importance of lifelong learning in the context of computing design projects.
  • List and describe fundamental aspects of project and risk management.
  • Explain the significance of research techniques in the computing design process.
  • Describe the importance of adhering to standards in computing.
  • Describe the importance of adhering to ethics, and legal considerations.
  • Describe effective literature review strategies to gather relevant information for a computing design project.
  • Explain practical project conduct skills within a team-based environment.
  • Explain the steps of conducting, documenting, and presenting a project
  • Recall principles of innovation entrepreneurship.
Course Content Computing and IS projects, research, project planning and risk management, national and international standards, team working, literature survey, conducting project, project presentation, lifelong learning, ethics, legal issues, innovation and entrepreneurship.

Weekly Subjects and Releated Preparation Studies

Week Subjects Preparation
1 Introduction to computing and IS projects Ch.1 (main text)
2 Research Ch.2
3 Literature Survey Ch.5
4 Report writing
5 Project planning and Risk Management Ch.4
6 National and international standards
7 Ethics
8 Legal issues
9 Conducting project Ch.6,7
10 Team Working
11 Lifelong learning
12 Project presentation Ch.8,9
13 Project presentation Ch.8,9
14 Innovation and Entrepreneurship
15 Final Exam
16 Final Exam

Sources

Course Book 1. Christian Dawson, Projects in Computing and Information Systems: A Student's Guide (3rd Edition), Pearson Education, 2015
Other Sources 2. Sommerville, I., Software Engineering, Addison-Wesley, 2014 (10th edition)

Evaluation System

Requirements Number Percentage of Grade
Attendance/Participation - -
Laboratory - -
Application - -
Field Work - -
Special Course Internship - -
Quizzes/Studio Critics - -
Homework Assignments - -
Presentation - -
Project - -
Report - -
Seminar - -
Midterms Exams/Midterms Jury 1 40
Final Exam/Final Jury 1 60
Toplam 2 100
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 software engineering discipline; the ability to apply theoretical and practical knowledge of these areas to complex engineering problems.
2 The ability to identify, define, formulate and solve complex engineering problems; selecting and applying proper analysis and modeling techniques for this purpose.
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 software engineering applications; the ability to utilize information technologies effectively.
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.
18 The ability to apply engineering approach to the development of software systems by analyzing, designing, implementing, verifying, validating and maintaining software systems.

ECTS/Workload Table

Activities Number Duration (Hours) Total Workload
Course Hours (Including Exam Week: 16 x Total Hours)
Laboratory
Application
Special Course Internship
Field Work
Study Hours Out of Class 16 3 48
Presentation/Seminar Prepration
Project
Report
Homework Assignments 4 6 24
Quizzes/Studio Critics
Prepration of Midterm Exams/Midterm Jury 1 5 5
Prepration of Final Exams/Final Jury 1 10 10
Total Workload 87