{"ModuleCode":"CN3421","ModuleTitle":"Process Modeling And Numerical Simulation","Department":"Chemical & Biomolecular Engineering","ModuleDescription":"This module introduces model formulation for various chemical and environmental processes and numerical techniques in solving the associated algebraic and differential equations. Students also learn data sampling and analysis, hypothesis testing and experimental design essential for today?s chemical and environmental engineers. This course covers the formulation of process models and necessary numerical techniques for solving the model equations arising in thermodynamics, fluid mechanics, heat and mass transfer, reaction engineering, transport phenomena, and process systems engineering. The numerical techniques include methods for solving systems of linear and non-linear algebraic equations and systems of linear and non-linear ordinary and partial differential equations. Direct and iterative techniques, numerical differentiation and integration, error propagation, convergence and stability analysis are taught, followed by basic concepts of probability, discrete and continuous random variables, expected values, joint probability distributions, and independence. Hypothesis testing, least square regression, experimental design and sensitivity analysis are also introduced. This module is targeted at level 3 chemical and environmental engineering students.","ModuleCredit":"4","Workload":"3-1-0-1.5-5.5","Prerequisite":"MA1505 and MA1506 and (CN1111/CN1111FC)","Corequisite":"CN2116","ExamDate":"2015-04-29T17:00+0800","ExamOpenBook":true,"ExamDuration":"P2H30M","ExamVenue":"E5-03-22/23","Types":["Module"],"Lecturers":["Long Yun","Hidajat, Kus"],"IVLE":[{"Announcements":null,"Forums":[],"Workbins":[],"Webcasts":[],"Gradebooks":[],"Polls":[],"Multimedia":[],"LessonPlan":[],"ID":"ad6f0f62-c7d1-47c3-8528-0873a6aaf8b5","CourseLevel":"1","CourseCode":"CN3421","CourseName":"PROCESS MODELING AND NUMERICAL SIMULATION","CourseDepartment":"","CourseSemester":"Semester 2","CourseAcadYear":"2014/2015","CourseOpenDate":"/Date(1409846400000+0800)/","CourseOpenDate_js":"2014-09-05T00:00:00","CourseCloseDate":"/Date(1433174340000+0800)/","CourseCloseDate_js":"2015-06-01T23:59:00","CourseMC":"0","isActive":"N","Permission":"S","Creator":{"UserID":null,"Name":"Long Yun","Email":null,"Title":null,"UserGuid":"5debda5c-a810-427e-a4a5-57a4c9fd42df","AccountType":null},"hasGradebookItems":true,"hasTimetableItems":true,"hasGroupsItems":false,"hasClassGroupsForSignUp":false,"hasGuestRosterItems":false,"hasClassRosterItems":true,"hasWeblinkItems":false,"hasLecturerItems":true,"hasDescriptionItems":true,"hasReadingItems":true,"hasAnnouncementItems":false,"hasProjectGroupItems":false,"hasProjectGroupsForSignUp":false,"hasConsultationItems":false,"hasConsultationSlotsForSignUp":false,"hasLessonPlanItems":false,"Badge":0,"BadgeAnnouncement":0,"WebLinks":[],"Lecturers":[{"ID":"41869846-4ff1-4faa-ae80-8ac7bc305bc6","User":{"UserID":null,"Name":"Long Yun","Email":null,"Title":null,"UserGuid":"5debda5c-a810-427e-a4a5-57a4c9fd42df","AccountType":null},"Role":"Lecturer ","Order":1,"ConsultHrs":null},{"ID":"e1188865-b271-4566-b1c6-ec999fbbada9","User":{"UserID":null,"Name":"Hidajat, Kus","Email":null,"Title":null,"UserGuid":"da23a0f9-2ac7-46a7-9317-de6fd55ea20d","AccountType":null},"Role":"Lecturer ","Order":2,"ConsultHrs":null}],"Descriptions":[{"ID":"1e5f053b-8835-4692-be49-41f07234cfff","Title":"Learning Outcomes","Description":"This module introduces model formulation for various chemical and environmental processes and numerical techniques in solving the associated algebraic and differential equations. Students also learn data sampling and analysis, hypothesis testing and experimental design essential for today's chemical and environmental engineers.
\n
\nThis course covers the formulation of process models and necessary numerical techniques for solving the model equations arising in thermodynamics, fluid mechanics, heat and mass transfer, reaction engineering, transport phenomena, and process systems engineering. The numerical techniques include methods for solving systems of linear and non-linear algebraic equations and systems of linear and non-linear ordinary and partial differential equations. Direct and iterative techniques, numerical differentiation and integration, error propagation, convergence and stability analysis are taught, followed by basic concepts of probability, discrete and continuous random variables, expected values, joint probability distributions, and independence. Hypothesis testing, least square regression, experimental design and sensitivity analysis are also introduced. This module is targeted at level 3 chemical and environmental engineering students.
\n
\nOn successful completion of this module, students will be able to:
\n1. Mathematically model a chemical process problem by making reasonable assumptions;
\n2. Describe numerical methods their algorithms covered in the syllabus, and perform them on a calculator, spreadsheet and/or MATLAB;
\n3. Select the most suitable numerical method for an application, based on the knowledge of limitations and applicability of the tools;
\n4. Apply basic statistical inference (point estimation, confidence interval, hypothesis testing, analysis of variance, linear regression) to analyze real life data;
\n5. Interpret the results obtained from numerical simulation and statistical analysis of data.
\n","Order":1},{"ID":"2e5f053b-8835-4692-be49-41f07234cfff","Title":"Prerequisites","Description":"Prerequisites: MA1505 and MA1506 and (CN1111/CN1111FC)
\nCorequisites: CN2116","Order":2},{"ID":"3e5f053b-8835-4692-be49-41f07234cfff","Title":"Teaching Modes","Description":"Lecture, Tutorial, Student-teaching, In-class active-learning, Student creation","Order":3},{"ID":"8e5f053b-8835-4692-be49-41f07234cfff","Title":"Assessment","Description":"10% Homework
\n25% Midterm
\n65% Final Exam","Order":8},{"ID":"c3b4da03-b3b5-41fb-ad83-aa0fa31dcf15","Title":"Workload","Description":"3-1-0-1.5-5.5
\n
\nWorkload Components : A-B-C-D-E
\nA: no. of lecture hours per week
\nB: no. of tutorial hours per week
\nC: no. of lab hours per week
\nD: no. of hours for projects, assignments, fieldwork etc per week
\nE: no. of hours for preparatory work by a student per week","Order":9}],"ReadingFormatted":[],"ReadingUnformatted":[{"ID":"00000000-0000-0000-0000-000000000000","AdditionalInfo":"Mathematical Methods in Chemical & Environmental Engineering, Ajay K. Ray and Santosh K. Gupta, 2004, 2nd edition – Prescribed textbook
\n
\nProbability and Statistics for Engineers and Scientists, Ronald E. Walpole and Raymond H. Myers, Prentice-Hall, 1993. – Prescribed textbook
\n
\n"}]}],"Timetable":[{"ClassNo":"1","LessonType":"Lecture","WeekText":"Every Week","DayText":"Tuesday","StartTime":"0900","EndTime":"1000","Venue":"LT6"},{"ClassNo":"1","LessonType":"Lecture","WeekText":"Every Week","DayText":"Friday","StartTime":"1100","EndTime":"1300","Venue":"LT7"},{"ClassNo":"1","LessonType":"Tutorial","WeekText":"Every Week","DayText":"Tuesday","StartTime":"1400","EndTime":"1500","Venue":"E5-03-21"},{"ClassNo":"2","LessonType":"Tutorial","WeekText":"Every Week","DayText":"Thursday","StartTime":"1400","EndTime":"1500","Venue":"E5-03-21"},{"ClassNo":"3","LessonType":"Tutorial","WeekText":"Every Week","DayText":"Thursday","StartTime":"1500","EndTime":"1600","Venue":"E5-03-21"},{"ClassNo":"4","LessonType":"Tutorial","WeekText":"Every Week","DayText":"Wednesday","StartTime":"1500","EndTime":"1600","Venue":"E5-03-21"},{"ClassNo":"5","LessonType":"Tutorial","WeekText":"Every 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