Kurikulum

The International Business Engineering (IBE) Undergraduate Program is prepared to welcome Industry 5.0. Registration is open every year. This program is intended for students who want to learn in-depth about industrial engineering and data science, and have extensive knowledge of business and management at the international level. This is what many called as a T-shaped engineer.

The IBE curriculum contains 144 credits consisting of sixty modules: 36% credits related to Industrial Engineering, 15% credits related to Information Technology (data science related), and 15% credits related to Business Management, and 9% credits of Leadership Improvement Program modules (consisting of Internships / Thesis, leadership advancement). The rest are Basic Science and General Basic Subjects.

The curriculum is designed to enable students to creatively integrate engineering and business knowledge to solve complex business problems in the context of international, real industrial problems. Activities such as conferences, student camps, student organizations and professional development, local / international excursion studies will help students become people who are passionate, have integrity and gritt, and valuable graduate.

In summary, the IBE program is not only committed to nurturing students from an intellectual side but also students with professional attitude and integrity.

Full version of the curriculum can be downloaded here.  

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Mata Kuliah

Mata kuliah dasar
  • Mata kuliah dasar
  • Business Management
  • Industrial Engineering
  • Information Technology
BE4161
Industrial Statistics I (3 SKS)
The purpose of this module is to provide students with an introduction to statistical techniques and their applications in the context of business and management problems. It focuses on the use of statistical thinking, i.e., the appreciation of the inherent variability of all processes. Covers descriptive statistics, probability, probability distributions, sampling, estimation, and hypothesis testing. The use of statistical software, such as Minitab and R, is an integral part of the course.
None
Pass
BE4193
Calculus I (3 SKS)
Calculus I provides the development of mathematical thinking for IBE students. Covers functions and change, rate of change, derivative and differentiation, local and global maxima and minima, and accumulated change the definite integral. Connections between calculus and other fields, such as a variety of problems and examples from sciences and economics, models from the health sciences and of population growth, problems on sustainability will be explored.
BE4191
Physics I (3 SKS)
Physics I provides the basic Physics that underlies most of the developments in engineering and mathematical tools that are important to engineers. This course emphasizes problem solving abilities and the applications of physical concepts. The topics discussed include kinematics of particle, dynamics of particle, work & energy and its applications, impulse & linear momentum, rotation of rigid body, static equilibrium & elasticity, fluids, thermodynamics. Examples of these topics in everyday life are widely explored and presented.
BE4194
Calculus II (3 SKS)
This is a continuation of Calculus I. The primary aim of this course is to give the student a practical understanding of integration, functions of several variables and differential equations with emphasis on qualitative solutions, modeling and interpretation.
BE4192
Physics II (2 SKS)
Physics II is the second semester of one-year sequence of courses in Physics - a continuation of Physics I. Physics II is also a problem-solving course, aims to show how physics relates to the real world, and how various complex phenomena can be explained by simple laws. Topics discussed include electrostatics, electric potential and capacitor, Biot-Savart law and Ampere's law in magneto statics, electromagnetic induction.
BE4152
Linear Algebra (2 SKS)
Linear algebra is the study of linear systems of equations, vector spaces, and linear transformations. This course covers: systems of linear equations, Gaussian elimination, matrices, determinants, Cramer’s rule. Vectors, vector spaces, basis and dimension, linear transformations, inner products, and orthogonality. Eigenvalues, Eigenvectors, and quadratic forms. Some applications to linear models and Markov chains, differential equations and optimization will be introduced. This course is important for preparing IBE students to learn Operations Research I.
BE4162
Industrial Statistics II (3 SKS)
This course discusses statistical methods for the analysis of relationships between response and input variables: simple linear regression, multiple regression analysis, residual analysis model selection, multi-collinearity, nonlinear curve fitting, categorical predictors, introduction to analysis of variance, analysis of covariance, examination of validity of underlying assumptions, logistic regression analysis. Emphasizes real applications with use of statistical software. Prerequisites: Industrial Statistics I.
BE4155
Differential and Difference Equations (2 SKS)
The primary aim of this course is to give students a practical knowledge of how to model the world in terms of differential equations, and how to solve those equations and interpret the solutions. This course focuses on linear differential equations of a single variable, and their solutions (graphical, exact, and numerical), applications of ordinary differential equations, introduction to systems of linear differential equations, use of eigenvalues and eigenvectors in solving such systems.

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