Computer Engineering
Bachelor	Length of the Programme: 4	Number of Credits: 240	TR-NQF-HE: Level 6	QF-EHEA: First Cycle	EQF: Level 6

Ders Genel Tanıtım Bilgileri

School/Faculty/Institute

Faculty of Engineering

Course Code

IE 303

Course Title in English

Production Planning and Control

Course Title in Turkish

Üretim Planlama ve Kontrol

Language of Instruction

Type of Course

Flipped Classroom

Level of Course

Intermediate

Semester

Fall

Contact Hours per Week

Lecture: 3

Recitation: -

Lab: -

Other: -

Estimated Student Workload

160 hours per semester

Number of Credits

6 ECTS

Grading Mode

Standard Letter Grade

Pre-requisites

IE 202 - Operations Research I
MATH 221 - Probability and Statistics for Engineering I | MATH 227 - Probability and Statistics for Engineering I

Expected Prior Knowledge

Basic principles of OR and introductory level probability/statistics

Co-requisites

None

Registration Restrictions

Overall Educational Objective

To learn to analyze the production planning system of a manufacturing/service system.

Course Description

The course will cover various forecasting methods, inventory management subject to known or unknown demand, and project scheduling. The course will have a theoretical component, as well as use of technology for hands-on practice.

Course Description in Turkish

Bu derste çeşitli tahminleme teknikleri, belirli ya da belirsiz talep karşısında envanter yönetimi ve proje çizelgelendirilmesi konuları işlenecektir. Ders içinde konular hem teknik olarak incelenecek, hem de teknoloji desteği ile pratik örnekler üzerinde çalışılacaktır.

Course Learning Outcomes and Competences

Upon successful completion of the course, the learner is expected to be able to:
1) analyze different time series and apply forecasting methods to these time series;
2) analyze inventory management scenarios, identify whether the scenario is deterministic or stochastic and produce decisions regarding appropriate inventory levels;
3) show projects as network flow diagrams, evaluate project completion times and examine critical factors affecting timely/successful project completion.
4) communicate production planning and control ideas in a clear and concise manner in written and oral form.

Program Learning Outcomes/Course Learning Outcomes	1	2	3	4
1) An ability to identify, formulate, and solve complex engineering problems by applying principles of engineering, science, and mathematics
2) An ability to apply engineering design to produce solutions that meet specified needs with consideration of public health, safety, and welfare, as well as global, cultural, social, environmental, and economic factors
3) An ability to communicate effectively with a range of audiences
4) An ability to recognize ethical and professional responsibilities in engineering situations and make informed judgments, which must consider the impact of engineering solutions in global, economic, environmental, and societal contexts
5) An ability to function effectively on a team whose members together provide leadership, create a collaborative and inclusive environment, establish goals, plan tasks, and meet objectives
6) An ability to develop and conduct appropriate experimentation, analyze and interpret data, and use engineering judgment to draw conclusions
7) An ability to acquire and apply new knowledge as needed, using appropriate learning strategies.

Relation to Program Outcomes and Competences

N None	S Supportive	H Highly Related

	Program Outcomes and Competences	Level	Assessed by
1)	An ability to identify, formulate, and solve complex engineering problems by applying principles of engineering, science, and mathematics	H	Exam
2)	An ability to apply engineering design to produce solutions that meet specified needs with consideration of public health, safety, and welfare, as well as global, cultural, social, environmental, and economic factors	H	Exam
3)	An ability to communicate effectively with a range of audiences	S	Project
4)	An ability to recognize ethical and professional responsibilities in engineering situations and make informed judgments, which must consider the impact of engineering solutions in global, economic, environmental, and societal contexts	N
5)	An ability to function effectively on a team whose members together provide leadership, create a collaborative and inclusive environment, establish goals, plan tasks, and meet objectives	N
6)	An ability to develop and conduct appropriate experimentation, analyze and interpret data, and use engineering judgment to draw conclusions	N
7)	An ability to acquire and apply new knowledge as needed, using appropriate learning strategies.	S	Exam

Prepared by and Date	ÖZGÜR ÖZLÜK , September 2019
Course Coordinator	UTKU KOÇ
Semester	Fall
Name of Instructor	Assoc. Prof. Dr. BARIŞ SELÇUK

Course Contents

Week	Subject
1)	1. Course Introduction
2)	2.1. Introduction to Forecasting 2.2. Qualitative Forecasting Methods
3)	2.3. Quantitative Forecasting Methods
4)	2.4. Evaluating Forecast Accuracy
5)	3.1. Introduction to Inventory Management
6)	3.2. Inventory Management subject to Known Demand
7)	3.2. Inventory Management subject to Known Demand
8)	3.2. Inventory Management subject to Known Demand
9)	4.1. Randomness and Inventory Management
10)	4.2. Inventory Management subject to Unknown Demand
11)	4.2. Inventory Management subject to Unknown Demand
12)	5.1. Introduction to Project Scheduling
13)	5.2. Critical Path Analysis
14)	5.3. Project Evaluation and Review
15)	Final Exam/Project/Presentation period
16)	Final Exam/Project/Presentation period

Required/Recommended Readings

Production and Operations Analysis, 7th Edition, by Steven Nahmias and Tava Lennon Olsen

Teaching Methods

Lectures/contact hours using “flipped classroom” as an active learning technique

Homework and Projects

2 mini-projects

Laboratory Work

Computer Use

Other Activities

Assessment Methods

Assessment Tools	Count	Weight
Quiz(zes)	6	% 20
Project	2	% 10
Midterm(s)	1	% 30
Final Examination	1	% 40
TOTAL		% 100

Course Administration

-
Exams and quizzes: Closed book and closed notes. Homework: N/A Rules for attendance: YÖK regulations. You are responsible for the announcements made in class. Rules for late submission of assignments: N/A Missing a quiz: No make-up will be given for the missed quizzes. For certain excuses (decided by the instructor) the percentage of the missed quiz may be added to the midterm or to the final. Missing a midterm: You are expected to be present without exception and to plan any travel around these dates accordingly. Medical emergencies are of course excluded if accompanied by a doctor’s note. A note indicating that you were seen at the health center on the day of the exam is nota sufficient documentation of medically excused absence from the exam. The note must say that you were medically unable to take the exam. Provided that proper documents of excuse are presented, missed midterm by the student will be given the grade of the final exam. No make-up will be given. If you fail to take the exam on the assigned day and do not have a valid excuse, you will be given zero (0) on the exam. Employment interviews, employer events, weddings, vacations, etc. are not excused absences. Eligibility to take the final exam: YÖK regulations. Missing a final: Faculty regulations. A reminder of proper classroom behavior, code of student conduct: YÖK Regulations Academic dishonesty and plagiarism: YÖK Regulations

ECTS Student Workload Estimation

Activity	No/Weeks	Hours			Calculation
	No/Weeks per Semester	Preparing for the Activity	Spent in the Activity Itself	Completing the Activity Requirements
Course Hours	14	1	3	1	70
Project	2	10	1		22
Quiz(zes)	6	5	1		36
Midterm(s)	1	10	2		12
Final Examination	1	18	2		20
Total Workload					160
Total Workload/25					6.4
ECTS					6