Project Management (IE314) Course Detail

Course Name	Course Code	Season	Lecture Hours	Application Hours	Lab Hours	Credit	ECTS
Project Management	IE314		3	0	0	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, Discussion, Question and Answer, Problem Solving, Team/Group.
Course Coordinator
Course Lecturer(s)
Course Assistants
Course Objectives	This course aims at introducing the students to techniques that allow them to start, develop, complete, and implement projects more efficiently and effectively. It helps the students to become more aware of the relationship between the project manager’s talents and contribution of the project personnel for and the successful performance of the entire project. It tries to enable the students to establish a sounding control over the budget of the project, by making them to recognize when and why a project is not proceeding according to plan both financially and schedule vise , and to know if the plan needs to be revised or replaced with one that is more realistic. It, also, suggests some ways to conclude effective contracts and to avoid risks and conflicts.
Course Learning Outcomes	The students who succeeded in this course; Students will be able to present a systematic approach to planning, performance, and control of projects. Students will recognize the importance of leadership style and inter-team cooperation for establishing a sound control over the project. Students will be able to differentiate among the plans to develop methods for converting ideas into a product or service. Students will interpret the importance and the requirements of team work for managing projects successfully.
Course Content	Elements and phases of project management; functions (planning, staffing, scheduling, monitoring, and control) and techniques (CPM, PERT, etc.) of project management; software tools for project management; project cost control and time/resource management; leadership styles, conflict and risk management.

Weekly Subjects and Releated Preparation Studies

Week	Subjects	Preparation
1	Introduction: Organizing and skills for project management
2	The project network
3	The analysis of networks (CPM)
4	Estimating the duration of project activities
5	PERT
6	Techniques for managing the project budget
7	Midterm I
8	Resource management
9	Computer support for project management
10	Computer support for project management
11	Contracts in project management
12	Midterm II
13	Contracts in project management
14	Conflict Management
15	Final Examination Period
16	Final Examination Period

Sources

Course Book	1. Lecture Notes
Other Sources	2. Shtup A.F., Project Management: Engineering, Technology and Implementation, Prentice Hall.
	3. Lockyer K., Project Management and Project Network Techniques, Pitman Publishing, 1996.
	4. Bittel L.R., Ramsey J.E., Handbook for Professional Managers, Mac Graw-Hill Book Company, 1985.

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	2	60
Final Exam/Final Jury	1	40
Toplam	3	100

Percentage of Semester Work	60
Percentage of Final Work	40
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
#	Program Qualifications / Competencies	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.
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 computer engineering applications; the ability to utilize information technologies effectively.
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
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;
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.

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	3	48
Presentation/Seminar Prepration
Project
Report
Homework Assignments	10	1	10
Quizzes/Studio Critics
Prepration of Midterm Exams/Midterm Jury	2	5	10
Prepration of Final Exams/Final Jury	1	10	10
Total Workload			126