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Code IE 409
Term 201603
Title Project Scheduling and Management
Faculty Faculty of Engineering and Natural Sciences
Subject Industrial Engineering(IE)
SU Credit 3
ECTS Credit 6.00 / 6.00 ECTS (for students admitted in the 2013-14 Academic Year or following years)
Instructor(s) Selcuk Colak -scolak@sabanciuniv.edu,
Language of Instruction English
Level of Course Undergraduate
Type of Course Click here to view.
Prerequisites
(only for SU students)
IE301 MS303 MS301 IE303
Mode of Delivery Interactive lecture,Recitation
Planned Learning Activities Interactive,Project based learning
Content

Overview of project management process; project selection; project idea generation, formulation, financing, bidding, budgeting and cash flow analysis; team formation and building; deterministic and stochastic unconstrained project scheduling; resource constrained project scheduling algorithms; progress and cost control of projects; examples of management of projects from various sectors.

Objective

The objective of this course is to introduce the student to the quantitative aspects of the body of knowledge in project management. Emphasis is given to implement quantitative techniques already acquired in other courses.

Learning Outcome

to grasp the project management process and be able to use quantitative tools of project management and MS Project software tool
to be able to identify, analyze and model management problems suitable for formulation as projects
to be capable to participate in practice in the formulation, description, planning, scheduling, control, and proper termination of the project
to be able to transform project descriptions into mathematical programming models by employing project networks and solve them using appropriate solution techniques
to grasp the essentials of project selection and financial aspects of project management such as financing, bidding, budgeting and cash flow analysis
to learn the use of one major project management software tool (MS Project) in detail

Programme Outcomes
 
Common Outcomes For All Programs
1 Understand the world, their country, their society, as well as themselves and have awareness of ethical problems, social rights, values and responsibility to the self and to others. 2
2 Understand different disciplines from natural and social sciences to mathematics and art, and develop interdisciplinary approaches in thinking and practice. 3
3 Think critically, follow innovations and developments in science and technology, demonstrate personal and organizational entrepreneurship and engage in life-long learning in various subjects. 4
4 Communicate effectively in Turkish and English by oral, written, graphical and technological means. 5
5 Take individual and team responsibility, function effectively and respectively as an individual and a member or a leader of a team; and have the skills to work effectively in multi-disciplinary teams. 5
Common Outcomes ForFaculty of Eng. & Natural Sci.
1 Possess sufficient knowledge of mathematics, science and program-specific engineering topics; use theoretical and applied knowledge of these areas in complex engineering problems. 5
2 Identify, define, formulate and solve complex engineering problems; choose and apply suitable analysis and modeling methods for this purpose. 3
3 Develop, choose and use modern techniques and tools that are needed for analysis and solution of complex problems faced in engineering applications; possess knowledge of standards used in engineering applications; use information technologies effectively. 5
4 Ability to design a complex system, process, instrument or a product under realistic constraints and conditions, with the goal of fulfilling specified needs; apply modern design techniques for this purpose. 4
5 Design and conduct experiments, collect data, analyze and interpret the results to investigate complex engineering problems or program-specific research areas. 4
6 Knowledge of business practices such as project management, risk management and change management; awareness on innovation; knowledge of sustainable development. 4
7 Knowledge of impact of engineering solutions in a global, economic, environmental, health and societal context; knowledge of contemporary issues; awareness on legal outcomes of engineering solutions; understanding of professional and ethical responsibility. 3
Industrial Engineering Program Outcomes Core Electives
1 Formulate and analyze problems in complex manufacturing and service systems by comprehending and applying the basic tools of industrial engineering such as modeling and optimization, stochastics, statistics. 5
2 Design and develop appropriate analytical solution strategies for problems in integrated production and service systems involving human capital, materials, information, equipment, and energy. 5
3 Implement solution strategies on a computer platform for decision-support purposes by employing effective computational and experimental tools. 5
Materials Science and Nano Engineering Program Outcomes Area Electives
1 Applying fundamental and advanced knowledge of natural sciences as well as engineering principles to develop and design new materials and establish the relation between internal structure and physical properties using experimental, computational and theoretical tools. 1
2 Merging the existing knowledge on physical properties, design limits and fabrication methods in materials selection for a particular application or to resolve material performance related problems. 1
3 Predicting and understanding the behavior of a material under use in a specific environment knowing the internal structure or vice versa. 1
Mechatronics Engineering Program Outcomes Area Electives
1 Familiarity with concepts in statistics and optimization, knowledge in basic differential and integral calculus, linear algebra, differential equations, complex variables, multi-variable calculus, as well as physics and computer science, and ability to use this knowledge in modeling, design and analysis of complex dynamical systems containing hardware and software components. 1
2 Ability to work in design, implementation and integration of engineering applications, such as electronic, mechanical, electromechanical, control and computer systems that contain software and hardware components, including sensors, actuators and controllers. 1
Computer Science and Engineering Program Outcomes Area Electives
1 Design, implement, test, and evaluate a computer system, component, or algorithm to meet desired needs and to solve a computational problem. 3
2 Demonstrate knowledge of discrete mathematics and data structures. 1
3 Demonstrate knowledge of probability and statistics, including applications appropriate to computer science and engineering. 3
Assessment Methods and Criteria
  Percentage (%)
Final 20
Midterm 40
Exam 20
Group Project 20
Recommended or Required Reading
Optional Readings

A. Shtub, J. F. Bard, S. Globerson, Project Management: Processes, Methodologies, and Economics, Pearson Prentice Hall, Upper Saddle River, 2005.

Course Web https://sucourse.sabanciuniv.edu