COURSE SCHEDULE (Weekly) WEEK TOPICS 1 Basic concepts of integer programming 2 Using 0-1 integer variables and ensuring special conditions 3 Models of knapsack, transportation, assignment, matching and bottleneck type problems. 4 Models of network and routing problems 5 Models of set covering, p-median, p-center, facility layout and scheduling problems 6 Midterm Examination 1 7 Complexity, concets of P, NP, NP-hard and total unimodularity 8 Enumeration, rounding and dynamic programming techniques 9 Branch and algorithm 10 Additivie algorithm, cutting algorithm and some special heuristic algorithms 11 Midterm Examination 2 12 Column generation and solution of cutting problems 13 Tightening of a and branch and cut algorithm 14 Tabu search and simulated annealing algorithm 15,16 Final Examination CONTRIBUTION OF THE COURSE LEARNING OUTCOMES TO THE CONTRIBUTION INDUSTRIAL ENGINEERING PhD PROGRAM LEARNING OUTCOMES LEVEL 1 3 2 NO LEARNING OUTCOMES (PhD) Low High Mid Ability to understand and implement mathematics, basic and LO 1 engineering sciences at utmost level in the field of Industrial Engineering and other relevant fields. Ability to the newest knowledge, design, plan, manage, finalize and implement original research processes bringing innovation to LO 2 science or technology in the field of Industrial Engineering and other relevant fields. Ability to design, plan, manage, finalize and implement LO 3 multidisciplinary innovative studies Ability to present and publish the results of academic studies at all LO 4 kind of platforms. Ability to use at least one language sufficiently, skills for written, LO 5 verbal, visual communication and discussion in that language. Ability to make evaluation, critical analysis and synthesis about LO 6 conceptions that are generated in the relevant field. Ability to evaluate actual scientific, technological, social, cultural and LO 7 environmental developments besides awareness of scientific neutrality, ethics and responsibility. Prepared by : Assoc. Prof. Dr. Aydın Sipahioğlu Date: 18.06.2015 Signature: INDUSTRIAL ENGINEERING (MSc) DEPARTMENT SEMESTER COURSE 503212603 Multiobjective Programming CODE TITLE
COURSE SCHEDULE (Weekly) WEEK TOPICS 1 Basic concepts of integer programming 2 Using 0-1 integer variables and ensuring special conditions 3 Models of knapsack, transportation, assignment, matching and bottleneck type problems. 4 Models of network and routing problems 5 Models of set covering, p-median, p-center, facility layout and scheduling problems 6 Midterm Examination 1 7 Complexity, concets of P, NP, NP-hard and total unimodularity 8 Enumeration, rounding and dynamic programming techniques 9 Branch and algorithm 10 Additivie algorithm, cutting algorithm and some special heuristic algorithms 11 Midterm Examination 2 12 Column generation and solution of cutting problems 13 Tightening of a and branch and cut algorithm 14 Tabu search and simulated annealing algorithm 15,16 Final Examination CONTRIBUTION OF THE COURSE LEARNING OUTCOMES TO THE INDUSTRIAL ENGINEERING PhD PROGRAM LEARNING OUTCOMES CONTRIBUTION LEVEL NO LEARNING OUTCOMES (PhD) 3 High 2 Mid 1 Low LO 1 Ability to understand and implement mathematics, basic and engineering sciences at utmost level in the field of Industrial Engineering and other relevant fields. LO 2 Ability to the newest knowledge, design, plan, manage, finalize and implement original research processes bringing innovation to science or technology in the field of Industrial Engineering and other relevant fields. LO 3 Ability to design, plan, manage, finalize and implement multidisciplinary innovative studies LO 4 Ability to present and publish the results of academic studies at all kind of platforms. LO 5 Ability to use at least one language sufficiently, skills for written, verbal, visual communication and discussion in that language. LO 6 Ability to make evaluation, critical analysis and synthesis about conceptions that are generated in the relevant field. LO 7 Ability to evaluate actual scientific, technological, social, cultural and environmental developments besides awareness of scientific neutrality, ethics and responsibility. Prepared by : Assoc. Prof. Dr. Aydın Sipahioğlu Date: 18.06.2015 Signature: DEPARTMENT INDUSTRIAL ENGINEERING (MSc) SEMESTER COURSE CODE 503212603 TITLE Multiobjective Programming
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