Course Module
Department of Agricultural Engineering Faculty of Agricultural Technology Universitas Brawijaya
Module name Numeric Method Module level Undergraduate program
Code TPE4148
Subtitle -
Courses -
Semester(s) 5
Person responsible for the module
Dr. Ir. Bambang Dwi Argo, DEA
Lecturer 1. Dr. Eng. Akhmad Adi Sulianto, STP., MT., M.Eng 2. Dr. Ir. Alexander Tunggul Sutan Haji, MT 3. Dr. Ir. Bambang Dwi Argo, DEA
4. Yusuf Hendrawan, S.TP., M. App.Life Sc, Ph.D Language Bahasa Indonesia, English
Relation to curriculum Compulsory/elective Type of teaching,
contact hours
Contact hours and class size separately for each teaching method:
lecture, lesson, practical, project, seminar etc.
Workload 90.67 hours/semester
Lecture, Exercise, and private study Credit points 2 SKS / 3.4 ECTS
Requirements according to the examination regulations
-
Recommended prerequisites
TPE 4246 Module
objectives/intended learning outcomes
ILO-3 : An ability to manage and utilize natural resources (agriculture and environment) and the supporting resources (human resources, infrastructure, etc.) in an optimal way and sustainable
ILO-5 : An ability to identify, formulating, analysing and solving problems in the field of agricultural engineering through systems approach ILO-7 : An ability to develop and manage entrepreneurship oriented to agribusiness and agroindustry
Objectives
Knowledge: theoretical approach to finding solutions to the roots of non-linear equations with the Numerical method
Skills: cognitive – interpolation where the results are either in the form of discrete data or continuous functions
Phsycomotoric - solve various forms of systems of equations
Competences: Student able to apply the numerical method for solving partial differential equation models related to engineering problems
Content Courses:
1) Numerical Method as an alternative in solving mathematical problems
2) The roots of equations and their application in engineering in general
3) Interpolation theory and its application in engineering 4) Matrices, linear and non-linear equations
5) Numerical Derivative and Integral Solutions 6) Solving the Ordinary Differential Equations 7) Solving Partial Differential Equations Study and examination
requirements and forms of examination
1. Midterm exam 2. Final term exam 3. Assignment 4. Group assignment
How to score:
Midterm Exam(1-5) = 40%
Final Exam (1-4) = 25%
Assignment = 35%
A : 80 < Final Score ≤ 100 B+ : 75 < Final Score ≤ 80 B : 69 < Final Score ≤ 75 C+ : 60 < Final Score ≤ 69 C : 55 < Final Score ≤ 60 D : 50 < Final Score ≤ 55 D+ : 44 < Final Score ≤ 50 E : 0 < Final Score ≤ 44
Media employed Class, Online learning system (Zoom and Google Classroom)
Reading list 1. Ayyub, BM., McCUEN R H. 1996. Numerical Methods for Engineers.
Prentice Hall International, INC. USA
2. Sastry, SS., 1979. Introductory Methods of Numerical Analysis.
Prentice – Hall of India Private Limited
