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Course Description Course Name : Quantitative Decision Making Techniques in Mining Engineering II Course Code : MD-578 Course Type : Optional Level of Course : Second Cycle Year of Study : 1 Course Semester : Spring (16 Weeks) ECTS : 6 Name of Lecturer(s) : Assoc.Prof.Dr. SUPHİ URAL Learning Outcomes of the Course : Ability for generating optimal solutions Mode of Delivery : Face-to-Face Prerequisites and Co-Prerequisites : MD-500 Coal Technology Recommended Optional Programme Components : None Aim(s) of Course : To improve the ability to use optimization techniques Course Contents : Probabilistic models, forecasting models, decision analysis and game theory, decision environment, decision-making under certainty, decision making under risk, decision making under uncertainty, stochastic dynamic programming, goal achievement mechanization, probabilistic inventory models, continuous review model, a single-period models very-period models, queuing systems, simulation model building, nonlinear models. Language of Instruction : Turkish Work Place : CLASSROOMS AND LABORATORIES OF THE DEPARTMENT FACULTY OF ENGINEERING AND ARCHITECTURE   Course Outline /Schedule (Weekly) Planned Learning Activities Week Subject Student's Preliminary Work Learning Activities and Teaching Methods 1 BASIC DEFINITIONS, PURPOSE AND SCOPE COURSE NOTE COURSE PRESENTATION 2 PROBABILISTIC MODELS COURSE NOTE COURSE PRESENTATION 3 PROBABILISTIC MODELS COURSE NOTE COURSE PRESENTATION 4 PROBABILISTIC MODELS COURSE NOTE COURSE PRESENTATION 5 PREDICTION MODELS COURSE NOTE COURSE PRESENTATION 6 PREDICTION MODELS COURSE NOTE COURSE PRESENTATION 7 MAKING DECISION UNDER RISK COURSE NOTE COURSE PRESENTATION 8 MAKING DECISION UNDER RISK COURSE NOTE COURSE PRESENTATION 9 MID TERM EXAM 10 MAKING DECISION UNDER UNCERTAINITY COURSE NOTE COURSE PRESENTATION 11 MAKING DECISION UNDER UNCERTAINITY COURSE NOTE COURSE PRESENTATION 12 MAKING DECISION UNDER UNCERTAINITY COURSE NOTE COURSE PRESENTATION 13 BUILDING SIMULATION MODEL COURSE NOTE COURSE PRESENTATION 14 BUILDING SIMULATION MODEL COURSE NOTE COURSE PRESENTATION 15 FINAL EXAM 16/17 FINAL EXAM   Required Course Resources Resource Type Resource Name Recommended Course Material(s)  COURSE NOTE Required Course Material(s)  Operations Research, Hamdy TAHA   Assessment Methods and Assessment Criteria Semester/Year Assessments Number Contribution Percentage     Mid-term Exams (Written, Oral, etc.) 1 40     Homeworks/Projects/Others 2 60 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 Uses knowledge of math, science and engineering in order to solve mining engineering problems 5 2 Has advanced theorical and practical knowledge in mining engineering area. 5 3 Has the ability to determine,formulate,and solve the problems related to mining engineering. 1 4 Has skills to prepare and evaluate projects which are related to mining engineering study subjects. 1 5 Having skill explained as attentions of scientific and social values and transferring of these values to others 2 6 Does research on scientific and technical subjects including profession independentlly, makes a written or oral presentation about research results. 1 7 Has awareness of lifelong learning for professional development, follows new applications for study area and uses resources effectively. 1 8 Has independent study, team study and interdisciplinary study skills. 3 9 Uses modern engineering, computer modeling and simulation programs in order to solve engineering problems and develop mining engineering projects. 1 10 Has systematic thinking and problem solution skills about mining engineering subjects and uses these abilities in interdisciplinary studies. 4 11 Determines the problems independently, thinking of development of new solution methods and result evaluation skills in mining engineering area. 1 12 Understands the applications of mining engineering on universal and social effects, has responsibility for using natural resource effectively as ethical. 2 * 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 6 84 Assesment Related Works     Homeworks, Projects, Others 2 8 16     Mid-term Exams (Written, Oral, etc.) 1 4 4     Final Exam 1 4 4 Total Workload: 150 Total Workload / 25 (h): 6 ECTS Credit: 6