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Course Description Course Name : Design Optimization Course Code : AEN312 Course Type : Compulsory Level of Course : First Cycle Year of Study : 3 Course Semester : Spring (16 Weeks) ECTS : 4 Name of Lecturer(s) : Learning Outcomes of the Course : Learns design optimization process and its economic profits Mode of Delivery : Face-to-Face Prerequisites and Co-Prerequisites : None Recommended Optional Programme Components : None Aim(s) of Course : The course objective is to explain the basic philosophy of design optimization, robust design and Taguchi method, its applications and economic benefits. The course also aims at motivating the students to learn to apply these important methods for improving the product / process quality. Course Contents : Introduction to optimization, Functions of a single variable, Functions of several variables. Linear programming. Constrained optimality criteria. Transformation methods. Constrained direct search. Linearization Methods for constrained problems. Direct generation methods based on linearizations. Quadratic approximation methods for constreined problems. Strategies of optimization studies Language of Instruction : English Work Place : Clasroom   Course Outline /Schedule (Weekly) Planned Learning Activities Week Subject Student's Preliminary Work Learning Activities and Teaching Methods 1 Introduction to optimization Book and presentations Explanations with presentations 2 Functions of a single variable Book and presentations Explanations with presentations 3 Functions of several variables Book and presentations Explanations with presentations 4 Linear programming Book and presentations Explanations with presentations 5 Constrained optimality criteria Book and presentations Explanations with presentations 6 Constrained direct search Book and presentations Explanations with presentations 7 Transformation methods Book and presentations Explanations with presentations 8 Midterm exam 9 Transformation methods Book and presentations Explanations with presentations 10 Linearization Methods for constrained problems Book and presentations Explanations with presentations 11 Linearization Methods for constrained problems Book and presentations Explanations with presentations 12 Direct generation methods based on linearizations Book and presentations Explanations with presentations 13 Direct generation methods based on linearizations Book and presentations Explanations with presentations 14 Strategies of optimization studies Book and presentations Explanations with presentations 15 Strategies of optimization studies Book and presentations Explanations with presentations 16/17 Final exam   Required Course Resources Resource Type Resource Name Recommended Course Material(s)  Optimization for Engineering Design, Kalyanmoy Deb, 2005 Required Course Material(s)   Assessment Methods and Assessment Criteria Semester/Year Assessments Number Contribution Percentage     Mid-term Exams (Written, Oral, etc.) 1 70     Homeworks/Projects/Others 10 30 Total 100 Rate of Semester/Year Assessments to Success 40   Final Assessments 100 Rate of Final Assessments to Success 60 Total 100   Contribution of the Course to Key Learning Outcomes # Key Learning Outcome Contribution* 1 Utilizes computer systems and softwares 4 2 Generates solutions for the problems in other disciplines by using statistical techniques 5 3 Comprehends visual, database and web programming techniques and has the ability of writing objective program 3 4 Is equipped with a variety of skills and techniques in engineering. 4 5 Designs a system, component or process so as to meet various engineering needs within technical, economic, environmental, manufacturability, sustainability limitations. 5 6 Examines and learns applications in an enterprise independently, makes critical assesments of problems, formulates problems and selects suitable techniques for solutions. 4 7 Leads the identification, development and usage of a product or production method. 4 8 Is aware of the need for lifelong learning and self-renew 5 9 Has effective oral and written English for technical or non-technical use 4 10 Uses computers very effectively, makes computer-aided drafting, designs, analysis, and presentations. 3 11 Improves constantly itself , as well as professional development scientific, social, cultural and artistic fields according to his/her interests and abilities identifying needs of learning. 2 12 Is aware of the technical and ethical responsibilities, has inquisitive and innovative quality 5 * Contribution levels are between 0 (not) and 5 (maximum).   Student Workload - ECTS Works Number Time (Hour) Total Workload (Hour) Course Related Works     Class Time (Exam weeks are excluded) 14 3 42     Out of Class Study (Preliminary Work, Practice) 14 3 42 Assesment Related Works     Homeworks, Projects, Others 10 2 20     Mid-term Exams (Written, Oral, etc.) 1 2 2     Final Exam 1 2 2 Total Workload: 108 Total Workload / 25 (h): 4.32 ECTS Credit: 4