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Course Description Course Name : Advanced Algorithms in Chemistry Course Code : KM-616 Course Type : Optional Level of Course : Second Cycle Year of Study : 1 Course Semester : Fall (16 Weeks) ECTS : 6 Name of Lecturer(s) : Prof.Dr. HALİME ÖMÜR PAKSOY Learning Outcomes of the Course : Know numerical methods in Matlab program Know the simulation programs for thermal energy storage systems Mode of Delivery : Face-to-Face Prerequisites and Co-Prerequisites : None Recommended Optional Programme Components : None Aim(s) of Course : To provide information about advanced calculation methods in chemistry Course Contents : Numerical methods, solutions of simultaneous equations, matrix operations, Newton Raphson, Runge Kutta and Euler methods, linear and nonlinear least square methods, and thermal energy storage systems simulations. Language of Instruction : Turkish Work Place : Computer Laboratory   Course Outline /Schedule (Weekly) Planned Learning Activities Week Subject Student's Preliminary Work Learning Activities and Teaching Methods 1 Introduction to Matlab programming Lecture notes and reference books Lectures and computer programming 2 IBasics of Matlab programming Lecture notes and reference books Lectures and computer programming 3 Numerical methods Lecture notes and reference books Lectures and computer programming 4 Solutions of simultaneous equations Lecture notes and reference books Lectures and computer programming 5 Matrix operations Lecture notes and reference books Lectures and computer programming 6 Newton Raphson Lecture notes and reference books Lectures and computer programming 7 Runge Kutta Lecture notes and reference books Lectures and computer programming 8 Euler method Lecture notes and reference books Lectures and computer programming 9 Least square methods Lecture notes and reference books Lectures and computer programming 10 Thermal energy storage systems simulations Lecture notes and reference books Lectures and computer programming 11 Thermal energy storage systems simulations Lecture notes and reference books Lectures and computer programming 12 Homework: Problems Lecture notes and reference books Lectures and computer programming 13 Homework: Problems Lecture notes and reference books Lectures and computer programming 14 Homework: Problems Lecture notes and reference books Lectures and computer programming 15 Homework: Problems Lecture notes and reference books Lectures and computer programming 16/17 Homework: Problems Lecture notes and reference books Lectures and computer programming   Required Course Resources Resource Type Resource Name Recommended Course Material(s)  Lecture notes Required Course Material(s)   Assessment Methods and Assessment Criteria Semester/Year Assessments Number Contribution Percentage     Mid-term Exams (Written, Oral, etc.) 2 60     Homeworks/Projects/Others 4 40 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 Have the sufficient chemistry knowledge by doing research in chemistry; evaluate and interpret the findings. 5 2 Have comrehensive knowledge about the technical and methodological issues in chemistry. 5 3 Have the awareness of the innovative changes in the field and gain the ability to analyze, learn and apply them. 5 4 Design institutional modelling and experiential research; have the problem-solving ability. 5 5 Keep up with the recent scientific developments in the field. 5 6 Plan and conduct a scientific research. 5 7 Have the ability to adapt to new conditions and solve the problems emerged. 5 8 Obtain the latest technological developments in the field. 5 9 Take the responsibility to work both individually and in a team. 5 10 Follow the new methods in the field and solve the complex problems. 5 11 Present the findings of the research study in an efficient way both in oral and written form; have a scientific approach to environmental issues. 5 12 Oversee the scientific and ethical values during the process of data collection and interpretation of the findings. 5 13 Propose scientific solutions about the environmental problems and create awareness in the society. 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 4 5 20     Mid-term Exams (Written, Oral, etc.) 2 10 20     Final Exam 1 15 15 Total Workload: 139 Total Workload / 25 (h): 5.56 ECTS Credit: 6